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CyberHarem/pompeo_magno_azurlane | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of pompeo_magno/ポンペオ・マーニョ/庞培·马格诺 (Azur Lane)
This is the dataset of pompeo_magno/ポンペオ・マーニョ/庞培·马格诺 (Azur Lane), containing 10 images and their tags.
The core tags of this character are `bangs, pink_hair, long_hair, hat, blunt_bangs, green_eyes, ribbon, two_side_up, yellow_eyes, breasts`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:----------|:-----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 10 | 16.75 MiB | [Download](https://huggingface.co/datasets/CyberHarem/pompeo_magno_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 10 | 8.87 MiB | [Download](https://huggingface.co/datasets/CyberHarem/pompeo_magno_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 25 | 19.36 MiB | [Download](https://huggingface.co/datasets/CyberHarem/pompeo_magno_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 10 | 14.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/pompeo_magno_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 25 | 28.97 MiB | [Download](https://huggingface.co/datasets/CyberHarem/pompeo_magno_azurlane/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/pompeo_magno_azurlane',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------|
| 0 | 6 |  |  |  |  |  | 1girl, long_sleeves, solo, open_mouth, white_dress, barefoot, beret, black_ribbon, bow, hair_ribbon, lying, simple_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | long_sleeves | solo | open_mouth | white_dress | barefoot | beret | black_ribbon | bow | hair_ribbon | lying | simple_background |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:-------|:-------------|:--------------|:-----------|:--------|:---------------|:------|:--------------|:--------|:--------------------|
| 0 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X |
|
open-llm-leaderboard/details_decruz07__kellemar-DPO-Orca-Distilled-7B-SLERP | ---
pretty_name: Evaluation run of decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP](https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_decruz07__kellemar-DPO-Orca-Distilled-7B-SLERP\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-01-16T17:19:43.357839](https://huggingface.co/datasets/open-llm-leaderboard/details_decruz07__kellemar-DPO-Orca-Distilled-7B-SLERP/blob/main/results_2024-01-16T17-19-43.357839.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6581904352779381,\n\
\ \"acc_stderr\": 0.03198559228658252,\n \"acc_norm\": 0.6579223801812178,\n\
\ \"acc_norm_stderr\": 0.03264927345286248,\n \"mc1\": 0.4944920440636475,\n\
\ \"mc1_stderr\": 0.01750243899045106,\n \"mc2\": 0.6497116450794354,\n\
\ \"mc2_stderr\": 0.015124463559805741\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6766211604095563,\n \"acc_stderr\": 0.013669421630012134,\n\
\ \"acc_norm\": 0.7047781569965871,\n \"acc_norm_stderr\": 0.013329750293382318\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6964748058155746,\n\
\ \"acc_stderr\": 0.004588403419449666,\n \"acc_norm\": 0.8756223859788886,\n\
\ \"acc_norm_stderr\": 0.003293374019781595\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6888888888888889,\n\
\ \"acc_stderr\": 0.0399926287661772,\n \"acc_norm\": 0.6888888888888889,\n\
\ \"acc_norm_stderr\": 0.0399926287661772\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119669,\n\
\ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119669\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.66,\n\
\ \"acc_stderr\": 0.04760952285695238,\n \"acc_norm\": 0.66,\n \
\ \"acc_norm_stderr\": 0.04760952285695238\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7169811320754716,\n \"acc_stderr\": 0.027724236492700914,\n\
\ \"acc_norm\": 0.7169811320754716,\n \"acc_norm_stderr\": 0.027724236492700914\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\
\ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\
\ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\
: 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6820809248554913,\n\
\ \"acc_stderr\": 0.0355068398916558,\n \"acc_norm\": 0.6820809248554913,\n\
\ \"acc_norm_stderr\": 0.0355068398916558\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.049512182523962625,\n\
\ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.049512182523962625\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.76,\n \"acc_stderr\": 0.04292346959909284,\n \"acc_norm\": 0.76,\n\
\ \"acc_norm_stderr\": 0.04292346959909284\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5957446808510638,\n \"acc_stderr\": 0.03208115750788684,\n\
\ \"acc_norm\": 0.5957446808510638,\n \"acc_norm_stderr\": 0.03208115750788684\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\
\ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.4312169312169312,\n \"acc_stderr\": 0.02550648169813821,\n \"\
acc_norm\": 0.4312169312169312,\n \"acc_norm_stderr\": 0.02550648169813821\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\
\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\
\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7903225806451613,\n\
\ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\
\ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n\
\ \"acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
: 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\
\ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.797979797979798,\n \"acc_stderr\": 0.028606204289229865,\n \"\
acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229865\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.02150024957603348,\n\
\ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.02150024957603348\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.676923076923077,\n \"acc_stderr\": 0.02371088850197057,\n \
\ \"acc_norm\": 0.676923076923077,\n \"acc_norm_stderr\": 0.02371088850197057\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.362962962962963,\n \"acc_stderr\": 0.02931820364520686,\n \
\ \"acc_norm\": 0.362962962962963,\n \"acc_norm_stderr\": 0.02931820364520686\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.03068473711513536,\n \
\ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.03068473711513536\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658752,\n \"\
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658752\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8550458715596331,\n \"acc_stderr\": 0.01509421569970048,\n \"\
acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.01509421569970048\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\
acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8480392156862745,\n \"acc_stderr\": 0.025195658428931792,\n \"\
acc_norm\": 0.8480392156862745,\n \"acc_norm_stderr\": 0.025195658428931792\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601443,\n \
\ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601443\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\
\ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\
\ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8091603053435115,\n \"acc_stderr\": 0.03446513350752599,\n\
\ \"acc_norm\": 0.8091603053435115,\n \"acc_norm_stderr\": 0.03446513350752599\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\
\ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.7685185185185185,\n\
\ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\
\ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\
\ \"acc_stderr\": 0.04718471485219588,\n \"acc_norm\": 0.44642857142857145,\n\
\ \"acc_norm_stderr\": 0.04718471485219588\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\
\ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8931623931623932,\n\
\ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\
\ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8288633461047255,\n\
\ \"acc_stderr\": 0.013468201614066307,\n \"acc_norm\": 0.8288633461047255,\n\
\ \"acc_norm_stderr\": 0.013468201614066307\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7485549132947977,\n \"acc_stderr\": 0.02335736578587403,\n\
\ \"acc_norm\": 0.7485549132947977,\n \"acc_norm_stderr\": 0.02335736578587403\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42681564245810055,\n\
\ \"acc_stderr\": 0.01654240195463191,\n \"acc_norm\": 0.42681564245810055,\n\
\ \"acc_norm_stderr\": 0.01654240195463191\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.025917806117147158,\n\
\ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.025917806117147158\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7170418006430869,\n\
\ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\
\ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7623456790123457,\n \"acc_stderr\": 0.02368359183700856,\n\
\ \"acc_norm\": 0.7623456790123457,\n \"acc_norm_stderr\": 0.02368359183700856\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5141843971631206,\n \"acc_stderr\": 0.02981549448368206,\n \
\ \"acc_norm\": 0.5141843971631206,\n \"acc_norm_stderr\": 0.02981549448368206\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.47392438070404175,\n\
\ \"acc_stderr\": 0.012752858346533126,\n \"acc_norm\": 0.47392438070404175,\n\
\ \"acc_norm_stderr\": 0.012752858346533126\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n\
\ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.684640522875817,\n \"acc_stderr\": 0.01879808628488689,\n \
\ \"acc_norm\": 0.684640522875817,\n \"acc_norm_stderr\": 0.01879808628488689\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
\ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\
\ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.0282638899437846,\n\
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.0282638899437846\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\
\ \"acc_stderr\": 0.025870646766169136,\n \"acc_norm\": 0.8407960199004975,\n\
\ \"acc_norm_stderr\": 0.025870646766169136\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
\ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\
\ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4944920440636475,\n\
\ \"mc1_stderr\": 0.01750243899045106,\n \"mc2\": 0.6497116450794354,\n\
\ \"mc2_stderr\": 0.015124463559805741\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.819258089976322,\n \"acc_stderr\": 0.010814911009613988\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7202426080363912,\n \
\ \"acc_stderr\": 0.012364384016735319\n }\n}\n```"
repo_url: https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|arc:challenge|25_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|gsm8k|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hellaswag|10_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T17-19-43.357839.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-16T17-19-43.357839.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- '**/details_harness|winogrande|5_2024-01-16T17-19-43.357839.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-01-16T17-19-43.357839.parquet'
- config_name: results
data_files:
- split: 2024_01_16T17_19_43.357839
path:
- results_2024-01-16T17-19-43.357839.parquet
- split: latest
path:
- results_2024-01-16T17-19-43.357839.parquet
---
# Dataset Card for Evaluation run of decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP](https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_decruz07__kellemar-DPO-Orca-Distilled-7B-SLERP",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-01-16T17:19:43.357839](https://huggingface.co/datasets/open-llm-leaderboard/details_decruz07__kellemar-DPO-Orca-Distilled-7B-SLERP/blob/main/results_2024-01-16T17-19-43.357839.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6581904352779381,
"acc_stderr": 0.03198559228658252,
"acc_norm": 0.6579223801812178,
"acc_norm_stderr": 0.03264927345286248,
"mc1": 0.4944920440636475,
"mc1_stderr": 0.01750243899045106,
"mc2": 0.6497116450794354,
"mc2_stderr": 0.015124463559805741
},
"harness|arc:challenge|25": {
"acc": 0.6766211604095563,
"acc_stderr": 0.013669421630012134,
"acc_norm": 0.7047781569965871,
"acc_norm_stderr": 0.013329750293382318
},
"harness|hellaswag|10": {
"acc": 0.6964748058155746,
"acc_stderr": 0.004588403419449666,
"acc_norm": 0.8756223859788886,
"acc_norm_stderr": 0.003293374019781595
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6888888888888889,
"acc_stderr": 0.0399926287661772,
"acc_norm": 0.6888888888888889,
"acc_norm_stderr": 0.0399926287661772
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6973684210526315,
"acc_stderr": 0.03738520676119669,
"acc_norm": 0.6973684210526315,
"acc_norm_stderr": 0.03738520676119669
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.66,
"acc_stderr": 0.04760952285695238,
"acc_norm": 0.66,
"acc_norm_stderr": 0.04760952285695238
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.7169811320754716,
"acc_stderr": 0.027724236492700914,
"acc_norm": 0.7169811320754716,
"acc_norm_stderr": 0.027724236492700914
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7777777777777778,
"acc_stderr": 0.03476590104304134,
"acc_norm": 0.7777777777777778,
"acc_norm_stderr": 0.03476590104304134
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620333
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695235,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695235
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6820809248554913,
"acc_stderr": 0.0355068398916558,
"acc_norm": 0.6820809248554913,
"acc_norm_stderr": 0.0355068398916558
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.45098039215686275,
"acc_stderr": 0.049512182523962625,
"acc_norm": 0.45098039215686275,
"acc_norm_stderr": 0.049512182523962625
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.76,
"acc_stderr": 0.04292346959909284,
"acc_norm": 0.76,
"acc_norm_stderr": 0.04292346959909284
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5957446808510638,
"acc_stderr": 0.03208115750788684,
"acc_norm": 0.5957446808510638,
"acc_norm_stderr": 0.03208115750788684
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5,
"acc_stderr": 0.047036043419179864,
"acc_norm": 0.5,
"acc_norm_stderr": 0.047036043419179864
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5724137931034483,
"acc_stderr": 0.04122737111370332,
"acc_norm": 0.5724137931034483,
"acc_norm_stderr": 0.04122737111370332
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.4312169312169312,
"acc_stderr": 0.02550648169813821,
"acc_norm": 0.4312169312169312,
"acc_norm_stderr": 0.02550648169813821
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.4365079365079365,
"acc_stderr": 0.04435932892851466,
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}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
[More Information Needed] |
KETI-AIR/kor_piqa | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: goal
dtype: string
- name: sol1
dtype: string
- name: sol2
dtype: string
- name: label
dtype: int32
splits:
- name: train
num_bytes: 5065072
num_examples: 16113
- name: validation
num_bytes: 563144
num_examples: 1838
- name: test
num_bytes: 935859
num_examples: 3084
download_size: 3857117
dataset_size: 6564075
license: afl-3.0
---
# Dataset Card for "kor_piqa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{Bisk2020,
author = {Yonatan Bisk and Rowan Zellers and
Ronan Le Bras and Jianfeng Gao
and Yejin Choi},
title = {PIQA: Reasoning about Physical Commonsense in
Natural Language},
booktitle = {Thirty-Fourth AAAI Conference on
Artificial Intelligence},
year = {2020},
}
``` |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-7f6ba0-1708559814 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b7
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. |
CyberHarem/epinel_nikke | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of epinel/エピネル/艾菲涅尔/에피넬 (Nikke: Goddess of Victory)
This is the dataset of epinel/エピネル/艾菲涅尔/에피넬 (Nikke: Goddess of Victory), containing 20 images and their tags.
The core tags of this character are `bangs, long_hair, multicolored_hair, very_long_hair, ahoge, green_eyes, ponytail, streaked_hair, facial_mark, grey_hair, two-tone_hair, goggles_on_head, green_hair, bandaid_on_face, blue_hair, hair_between_eyes, hair_ornament, white_hair`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:----------|:--------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 20 | 45.56 MiB | [Download](https://huggingface.co/datasets/CyberHarem/epinel_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 20 | 22.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/epinel_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 51 | 49.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/epinel_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 20 | 39.18 MiB | [Download](https://huggingface.co/datasets/CyberHarem/epinel_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 51 | 74.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/epinel_nikke/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/epinel_nikke',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 20 |  |  |  |  |  | open_jacket, hood_down, 1girl, solo, bandaid, white_shirt, blue_jacket, hooded_jacket, pleated_skirt, black_skirt, looking_at_viewer, white_socks, bubble_blowing, chewing_gum, drawstring, kneehighs, puffy_long_sleeves, shoes, goggles, holding, standing, white_hoodie |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | open_jacket | hood_down | 1girl | solo | bandaid | white_shirt | blue_jacket | hooded_jacket | pleated_skirt | black_skirt | looking_at_viewer | white_socks | bubble_blowing | chewing_gum | drawstring | kneehighs | puffy_long_sleeves | shoes | goggles | holding | standing | white_hoodie |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------|:------------|:--------|:-------|:----------|:--------------|:--------------|:----------------|:----------------|:--------------|:--------------------|:--------------|:-----------------|:--------------|:-------------|:------------|:---------------------|:--------|:----------|:----------|:-----------|:---------------|
| 0 | 20 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_92 | ---
dataset_info:
features:
- name: logits
sequence: float32
- name: mfcc
sequence:
sequence: float64
splits:
- name: train
num_bytes: 1262316984.0
num_examples: 247902
download_size: 1288780570
dataset_size: 1262316984.0
---
# Dataset Card for "chunk_92"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
cahya/instructions-en | ---
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 34460645
num_examples: 89978
- name: test
num_bytes: 877581
num_examples: 2368
- name: validation
num_bytes: 925739
num_examples: 2368
download_size: 21174568
dataset_size: 36263965
---
# Dataset Card for "instructions-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
liuyanchen1015/MULTI_VALUE_cola_were_was | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: int64
- name: idx
dtype: int64
- name: value_score
dtype: int64
splits:
- name: dev
num_bytes: 2616
num_examples: 32
- name: test
num_bytes: 2316
num_examples: 29
- name: train
num_bytes: 7590
num_examples: 96
download_size: 12339
dataset_size: 12522
---
# Dataset Card for "MULTI_VALUE_cola_were_was"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ali-alkhars/job-search-activation-eval | ---
language:
- en
tags:
- evaluation
pretty_name: Job-search Activation Evaluation Dataset
size_categories:
- n<1K
---
This dataset is used to evaluate CareerBud on the job-search activation task. The entries are divided into:
- Activation prompts (prompts that should produce the signal \[JOBSEARCH\])
- Non-activation prompts (prompts that shouldn't produce the signal) |
bigcode/the-stack-inspection-data | ---
annotations_creators: []
language_creators:
- crowdsourced
language: ["code"]
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
---
## Dataset Description
A subset of [the-stack](https://huggingface.co/datasets/bigcode/the-stack) dataset, from 87 programming languages, and 295 extensions.
Each language is in a separate folder under `data/` and contains folders of its extensions. We select samples from 20,000 random files of the original dataset, and keep a
maximum of 1,000 files per extension.
Check this [space](https://huggingface.co/spaces/bigcode/the-stack-inspection) for inspecting this dataset.
## Languages
The dataset contains 87 programming languages:
````
'ada', 'agda', 'alloy', 'antlr', 'applescript', 'assembly', 'augeas', 'awk', 'batchfile', 'bison', 'bluespec', 'c',
'c++', 'c-sharp', 'clojure', 'cmake', 'coffeescript', 'common-lisp', 'css', 'cuda', 'dart', 'dockerfile', 'elixir',
'elm', 'emacs-lisp','erlang', 'f-sharp', 'fortran', 'glsl', 'go', 'groovy', 'haskell','html', 'idris', 'isabelle', 'java',
'java-server-pages', 'javascript', 'julia', 'kotlin', 'lean', 'literate-agda', 'literate-coffeescript', 'literate-haskell',
'lua', 'makefile', 'maple', 'markdown', 'mathematica', 'matlab', 'ocaml', 'pascal', 'perl', 'php', 'powershell', 'prolog',
'protocol-buffer', 'python', 'r', 'racket', 'restructuredtext', 'rmarkdown', 'ruby', 'rust', 'sas', 'scala', 'scheme',
'shell', 'smalltalk', 'solidity', 'sparql', 'sql', 'stan', 'standard-ml', 'stata', 'systemverilog', 'tcl', 'tcsh', 'tex',
'thrift', 'typescript', 'verilog', 'vhdl', 'visual-basic', 'xslt', 'yacc', 'zig'
`````
## Dataset Structure
You can specify which language and extension you want to load:
```python
# to load py extension of python
from datasets import load_dataset
load_dataset("bigcode/the-stack-inspection-data", data_dir="data/python/py")
DatasetDict({
train: Dataset({
features: ['content', 'lang', 'size', 'ext', 'max_stars_count', 'avg_line_length', 'max_line_length', 'alphanum_fraction'],
num_rows: 1000
})
})
```
|
Thanmay/arc-easy-mr | ---
dataset_info:
features:
- name: id
dtype: string
- name: answerKey
dtype: string
- name: itv2 mr
dtype: string
- name: question
dtype: string
- name: choices
struct:
- name: label
sequence: string
- name: text
sequence: string
splits:
- name: test
num_bytes: 2800898
num_examples: 2376
- name: validation
num_bytes: 676483
num_examples: 570
download_size: 1290577
dataset_size: 3477381
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
|
Zehui127127/latent-dna-diffusion | ---
configs:
- config_name: default
data_files:
- split: train
path: "sequence.csv"
license: mit
task_categories:
- text-generation
size_categories:
- 1K<n<10K
--- |
open-llm-leaderboard/details_vishnukv__WestSeverusJaskier | ---
pretty_name: Evaluation run of vishnukv/WestSeverusJaskier
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [vishnukv/WestSeverusJaskier](https://huggingface.co/vishnukv/WestSeverusJaskier)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_vishnukv__WestSeverusJaskier\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-03-01T00:10:25.428539](https://huggingface.co/datasets/open-llm-leaderboard/details_vishnukv__WestSeverusJaskier/blob/main/results_2024-03-01T00-10-25.428539.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6550638160819823,\n\
\ \"acc_stderr\": 0.03196983569519578,\n \"acc_norm\": 0.654500520863763,\n\
\ \"acc_norm_stderr\": 0.032637371606130776,\n \"mc1\": 0.5691554467564259,\n\
\ \"mc1_stderr\": 0.01733527247533237,\n \"mc2\": 0.7317882538728917,\n\
\ \"mc2_stderr\": 0.014228909738484195\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6885665529010239,\n \"acc_stderr\": 0.013532472099850942,\n\
\ \"acc_norm\": 0.7175767918088737,\n \"acc_norm_stderr\": 0.013155456884097225\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6943835889265086,\n\
\ \"acc_stderr\": 0.004597265399568741,\n \"acc_norm\": 0.8815972913762199,\n\
\ \"acc_norm_stderr\": 0.0032242407223513105\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6666666666666666,\n\
\ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\
\ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119669,\n\
\ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119669\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\
\ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \
\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7132075471698113,\n \"acc_stderr\": 0.027834912527544067,\n\
\ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.027834912527544067\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\
\ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\
\ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\
: 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\
: {\n \"acc\": 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \
\ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.049888765156985884\n \
\ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\"\
: 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\
\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-college_medicine|5\"\
: {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.03583901754736412,\n\
\ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.03583901754736412\n\
\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.4215686274509804,\n\
\ \"acc_stderr\": 0.04913595201274498,\n \"acc_norm\": 0.4215686274509804,\n\
\ \"acc_norm_stderr\": 0.04913595201274498\n },\n \"harness|hendrycksTest-computer_security|5\"\
: {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5914893617021276,\n\
\ \"acc_stderr\": 0.032134180267015755,\n \"acc_norm\": 0.5914893617021276,\n\
\ \"acc_norm_stderr\": 0.032134180267015755\n },\n \"harness|hendrycksTest-econometrics|5\"\
: {\n \"acc\": 0.4649122807017544,\n \"acc_stderr\": 0.046920083813689104,\n\
\ \"acc_norm\": 0.4649122807017544,\n \"acc_norm_stderr\": 0.046920083813689104\n\
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\
: 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555498,\n \"\
acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555498\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.41798941798941797,\n \"acc_stderr\": 0.025402555503260912,\n \"\
acc_norm\": 0.41798941798941797,\n \"acc_norm_stderr\": 0.025402555503260912\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\
\ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\
\ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7741935483870968,\n\
\ \"acc_stderr\": 0.023785577884181015,\n \"acc_norm\": 0.7741935483870968,\n\
\ \"acc_norm_stderr\": 0.023785577884181015\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n\
\ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
: 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.8131313131313131,\n \"acc_stderr\": 0.027772533334218974,\n \"\
acc_norm\": 0.8131313131313131,\n \"acc_norm_stderr\": 0.027772533334218974\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\
\ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\
\ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652457,\n \
\ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652457\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.03038835355188679,\n \
\ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.03038835355188679\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\
acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8477064220183487,\n \"acc_stderr\": 0.015405084393157074,\n \"\
acc_norm\": 0.8477064220183487,\n \"acc_norm_stderr\": 0.015405084393157074\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\
acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\
acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \
\ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\
\ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\
\ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\
\ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\
\ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\
\ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\
\ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\
\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\
\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\
\ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\
\ \"acc_stderr\": 0.021586494001281365,\n \"acc_norm\": 0.8760683760683761,\n\
\ \"acc_norm_stderr\": 0.021586494001281365\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8212005108556832,\n\
\ \"acc_stderr\": 0.013702643715368983,\n \"acc_norm\": 0.8212005108556832,\n\
\ \"acc_norm_stderr\": 0.013702643715368983\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500104,\n\
\ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500104\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4312849162011173,\n\
\ \"acc_stderr\": 0.016563829399047703,\n \"acc_norm\": 0.4312849162011173,\n\
\ \"acc_norm_stderr\": 0.016563829399047703\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\
\ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\
\ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\
\ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\
\ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\"\
: 0.5,\n \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness|hendrycksTest-professional_law|5\"\
: {\n \"acc\": 0.47979139504563234,\n \"acc_stderr\": 0.012759801427767564,\n\
\ \"acc_norm\": 0.47979139504563234,\n \"acc_norm_stderr\": 0.012759801427767564\n\
\ },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\"\
: 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n \"\
acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6813725490196079,\n \"acc_stderr\": 0.01885008469646872,\n \
\ \"acc_norm\": 0.6813725490196079,\n \"acc_norm_stderr\": 0.01885008469646872\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128448,\n\
\ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128448\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
\ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\
\ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5602409638554217,\n\
\ \"acc_stderr\": 0.03864139923699121,\n \"acc_norm\": 0.5602409638554217,\n\
\ \"acc_norm_stderr\": 0.03864139923699121\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8538011695906432,\n \"acc_stderr\": 0.027097290118070806,\n\
\ \"acc_norm\": 0.8538011695906432,\n \"acc_norm_stderr\": 0.027097290118070806\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5691554467564259,\n\
\ \"mc1_stderr\": 0.01733527247533237,\n \"mc2\": 0.7317882538728917,\n\
\ \"mc2_stderr\": 0.014228909738484195\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8287292817679558,\n \"acc_stderr\": 0.010588417294962524\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7308567096285065,\n \
\ \"acc_stderr\": 0.012216595457292732\n }\n}\n```"
repo_url: https://huggingface.co/vishnukv/WestSeverusJaskier
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|arc:challenge|25_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|gsm8k|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hellaswag|10_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-01T00-10-25.428539.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-01T00-10-25.428539.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- '**/details_harness|winogrande|5_2024-03-01T00-10-25.428539.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-03-01T00-10-25.428539.parquet'
- config_name: results
data_files:
- split: 2024_03_01T00_10_25.428539
path:
- results_2024-03-01T00-10-25.428539.parquet
- split: latest
path:
- results_2024-03-01T00-10-25.428539.parquet
---
# Dataset Card for Evaluation run of vishnukv/WestSeverusJaskier
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [vishnukv/WestSeverusJaskier](https://huggingface.co/vishnukv/WestSeverusJaskier) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_vishnukv__WestSeverusJaskier",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-03-01T00:10:25.428539](https://huggingface.co/datasets/open-llm-leaderboard/details_vishnukv__WestSeverusJaskier/blob/main/results_2024-03-01T00-10-25.428539.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6550638160819823,
"acc_stderr": 0.03196983569519578,
"acc_norm": 0.654500520863763,
"acc_norm_stderr": 0.032637371606130776,
"mc1": 0.5691554467564259,
"mc1_stderr": 0.01733527247533237,
"mc2": 0.7317882538728917,
"mc2_stderr": 0.014228909738484195
},
"harness|arc:challenge|25": {
"acc": 0.6885665529010239,
"acc_stderr": 0.013532472099850942,
"acc_norm": 0.7175767918088737,
"acc_norm_stderr": 0.013155456884097225
},
"harness|hellaswag|10": {
"acc": 0.6943835889265086,
"acc_stderr": 0.004597265399568741,
"acc_norm": 0.8815972913762199,
"acc_norm_stderr": 0.0032242407223513105
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695235,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695235
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6666666666666666,
"acc_stderr": 0.04072314811876837,
"acc_norm": 0.6666666666666666,
"acc_norm_stderr": 0.04072314811876837
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6973684210526315,
"acc_stderr": 0.03738520676119669,
"acc_norm": 0.6973684210526315,
"acc_norm_stderr": 0.03738520676119669
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.64,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.64,
"acc_norm_stderr": 0.04824181513244218
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.7132075471698113,
"acc_stderr": 0.027834912527544067,
"acc_norm": 0.7132075471698113,
"acc_norm_stderr": 0.027834912527544067
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7847222222222222,
"acc_stderr": 0.03437079344106135,
"acc_norm": 0.7847222222222222,
"acc_norm_stderr": 0.03437079344106135
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.56,
"acc_stderr": 0.049888765156985884,
"acc_norm": 0.56,
"acc_norm_stderr": 0.049888765156985884
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6705202312138728,
"acc_stderr": 0.03583901754736412,
"acc_norm": 0.6705202312138728,
"acc_norm_stderr": 0.03583901754736412
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.4215686274509804,
"acc_stderr": 0.04913595201274498,
"acc_norm": 0.4215686274509804,
"acc_norm_stderr": 0.04913595201274498
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.75,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.75,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5914893617021276,
"acc_stderr": 0.032134180267015755,
"acc_norm": 0.5914893617021276,
"acc_norm_stderr": 0.032134180267015755
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.4649122807017544,
"acc_stderr": 0.046920083813689104,
"acc_norm": 0.4649122807017544,
"acc_norm_stderr": 0.046920083813689104
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5655172413793104,
"acc_stderr": 0.04130740879555498,
"acc_norm": 0.5655172413793104,
"acc_norm_stderr": 0.04130740879555498
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.41798941798941797,
"acc_stderr": 0.025402555503260912,
"acc_norm": 0.41798941798941797,
"acc_norm_stderr": 0.025402555503260912
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.48412698412698413,
"acc_stderr": 0.04469881854072606,
"acc_norm": 0.48412698412698413,
"acc_norm_stderr": 0.04469881854072606
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695235,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695235
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7741935483870968,
"acc_stderr": 0.023785577884181015,
"acc_norm": 0.7741935483870968,
"acc_norm_stderr": 0.023785577884181015
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.49261083743842365,
"acc_stderr": 0.035176035403610084,
"acc_norm": 0.49261083743842365,
"acc_norm_stderr": 0.035176035403610084
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.72,
"acc_stderr": 0.04512608598542127,
"acc_norm": 0.72,
"acc_norm_stderr": 0.04512608598542127
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7696969696969697,
"acc_stderr": 0.0328766675860349,
"acc_norm": 0.7696969696969697,
"acc_norm_stderr": 0.0328766675860349
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.8131313131313131,
"acc_stderr": 0.027772533334218974,
"acc_norm": 0.8131313131313131,
"acc_norm_stderr": 0.027772533334218974
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.9067357512953368,
"acc_stderr": 0.02098685459328973,
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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},
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},
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"acc_norm_stderr": 0.015405084393157074
},
"harness|hendrycksTest-high_school_statistics|5": {
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"acc_norm_stderr": 0.03407632093854051
},
"harness|hendrycksTest-high_school_us_history|5": {
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},
"harness|hendrycksTest-high_school_world_history|5": {
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"acc_norm": 0.8143459915611815,
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},
"harness|hendrycksTest-human_aging|5": {
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"acc_norm": 0.6816143497757847,
"acc_norm_stderr": 0.03126580522513713
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.8015267175572519,
"acc_stderr": 0.034981493854624714,
"acc_norm": 0.8015267175572519,
"acc_norm_stderr": 0.034981493854624714
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7851239669421488,
"acc_stderr": 0.037494924487096966,
"acc_norm": 0.7851239669421488,
"acc_norm_stderr": 0.037494924487096966
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7777777777777778,
"acc_stderr": 0.0401910747255735,
"acc_norm": 0.7777777777777778,
"acc_norm_stderr": 0.0401910747255735
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.754601226993865,
"acc_stderr": 0.03380939813943354,
"acc_norm": 0.754601226993865,
"acc_norm_stderr": 0.03380939813943354
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.41964285714285715,
"acc_stderr": 0.04684099321077106,
"acc_norm": 0.41964285714285715,
"acc_norm_stderr": 0.04684099321077106
},
"harness|hendrycksTest-management|5": {
"acc": 0.7864077669902912,
"acc_stderr": 0.040580420156460344,
"acc_norm": 0.7864077669902912,
"acc_norm_stderr": 0.040580420156460344
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8760683760683761,
"acc_stderr": 0.021586494001281365,
"acc_norm": 0.8760683760683761,
"acc_norm_stderr": 0.021586494001281365
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.71,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.71,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8212005108556832,
"acc_stderr": 0.013702643715368983,
"acc_norm": 0.8212005108556832,
"acc_norm_stderr": 0.013702643715368983
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7312138728323699,
"acc_stderr": 0.023868003262500104,
"acc_norm": 0.7312138728323699,
"acc_norm_stderr": 0.023868003262500104
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.4312849162011173,
"acc_stderr": 0.016563829399047703,
"acc_norm": 0.4312849162011173,
"acc_norm_stderr": 0.016563829399047703
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7287581699346405,
"acc_stderr": 0.02545775669666788,
"acc_norm": 0.7287581699346405,
"acc_norm_stderr": 0.02545775669666788
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7202572347266881,
"acc_stderr": 0.025494259350694912,
"acc_norm": 0.7202572347266881,
"acc_norm_stderr": 0.025494259350694912
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7376543209876543,
"acc_stderr": 0.024477222856135114,
"acc_norm": 0.7376543209876543,
"acc_norm_stderr": 0.024477222856135114
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.5,
"acc_stderr": 0.029827499313594685,
"acc_norm": 0.5,
"acc_norm_stderr": 0.029827499313594685
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.47979139504563234,
"acc_stderr": 0.012759801427767564,
"acc_norm": 0.47979139504563234,
"acc_norm_stderr": 0.012759801427767564
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6911764705882353,
"acc_stderr": 0.02806499816704009,
"acc_norm": 0.6911764705882353,
"acc_norm_stderr": 0.02806499816704009
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.6813725490196079,
"acc_stderr": 0.01885008469646872,
"acc_norm": 0.6813725490196079,
"acc_norm_stderr": 0.01885008469646872
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6727272727272727,
"acc_stderr": 0.0449429086625209,
"acc_norm": 0.6727272727272727,
"acc_norm_stderr": 0.0449429086625209
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.726530612244898,
"acc_stderr": 0.028535560337128448,
"acc_norm": 0.726530612244898,
"acc_norm_stderr": 0.028535560337128448
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.835820895522388,
"acc_stderr": 0.026193923544454115,
"acc_norm": 0.835820895522388,
"acc_norm_stderr": 0.026193923544454115
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.86,
"acc_stderr": 0.0348735088019777,
"acc_norm": 0.86,
"acc_norm_stderr": 0.0348735088019777
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5602409638554217,
"acc_stderr": 0.03864139923699121,
"acc_norm": 0.5602409638554217,
"acc_norm_stderr": 0.03864139923699121
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8538011695906432,
"acc_stderr": 0.027097290118070806,
"acc_norm": 0.8538011695906432,
"acc_norm_stderr": 0.027097290118070806
},
"harness|truthfulqa:mc|0": {
"mc1": 0.5691554467564259,
"mc1_stderr": 0.01733527247533237,
"mc2": 0.7317882538728917,
"mc2_stderr": 0.014228909738484195
},
"harness|winogrande|5": {
"acc": 0.8287292817679558,
"acc_stderr": 0.010588417294962524
},
"harness|gsm8k|5": {
"acc": 0.7308567096285065,
"acc_stderr": 0.012216595457292732
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Contact
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mdroth/TinyGuanaco_DE | ---
license: gpl-3.0
task_categories:
- question-answering
- conversational
language:
- de
tags:
- llama
- alpaca
- vicuna
- guanaco
dataset_info:
features:
- name: index
dtype: int64
- name: query
dtype: string
- name: reply
dtype: string
splits:
- name: train
num_bytes: 1675
num_examples: 4
- name: test
num_bytes: 1038
num_examples: 2
download_size: 10414
dataset_size: 2713
size_categories:
- n<1K
---
<img style="float:right; padding:1%" src="https://huggingface.co/datasets/mdroth/TinyGuanaco_DE/resolve/main/GuanacoBaby_SD2-1.jpg" alt="Picture of a young guanaco (thanks to Stable Diffusion 2.1)." width="25%">
# Dataset Card for _TinyGuanaco_DE_
**TinyGuanaco_DE**
- is intended for **development purposes**: use _TinyGuanaco_DE_ for prototyping your code
- is comprised of **German texts only** (hence _DE_)
- is really small: the `train` split has 4 instances and the `test` split has 2 instances
- has 3 columns: `index`, `query`, and `reply`
- the `query` column contains concatenations of a context ("Kontext:\n...") and a question ("Frage:\n...") that can be answered by knowing the context
- the `reply` column contains the according reply to that query
- features texts from the [`JosephusCheung/Guanaco`](https://huggingface.co/JosephusCheung/Guanaco) dataset and inherits its license from that dataset
License: [**gpl-3.0**](https://www.gnu.org/licenses/gpl-3.0.en.html) |
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/5f55ccdd | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 180
num_examples: 10
download_size: 1337
dataset_size: 180
---
# Dataset Card for "5f55ccdd"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
open-llm-leaderboard/details_TheBloke__gpt4-alpaca-lora-13B-HF | ---
pretty_name: Evaluation run of TheBloke/gpt4-alpaca-lora-13B-HF
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [TheBloke/gpt4-alpaca-lora-13B-HF](https://huggingface.co/TheBloke/gpt4-alpaca-lora-13B-HF)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the agregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_TheBloke__gpt4-alpaca-lora-13B-HF\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-10-23T00:28:03.157336](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__gpt4-alpaca-lora-13B-HF/blob/main/results_2023-10-23T00-28-03.157336.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.0041946308724832215,\n\
\ \"em_stderr\": 0.0006618716168266549,\n \"f1\": 0.06315121644295306,\n\
\ \"f1_stderr\": 0.0014384546797583987,\n \"acc\": 0.4290722743845191,\n\
\ \"acc_stderr\": 0.009899761958935093\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.0041946308724832215,\n \"em_stderr\": 0.0006618716168266549,\n\
\ \"f1\": 0.06315121644295306,\n \"f1_stderr\": 0.0014384546797583987\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.09097801364670205,\n \
\ \"acc_stderr\": 0.007921322844013642\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7671665351223362,\n \"acc_stderr\": 0.011878201073856544\n\
\ }\n}\n```"
repo_url: https://huggingface.co/TheBloke/gpt4-alpaca-lora-13B-HF
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|arc:challenge|25_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_10_23T00_28_03.157336
path:
- '**/details_harness|drop|3_2023-10-23T00-28-03.157336.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-10-23T00-28-03.157336.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_10_23T00_28_03.157336
path:
- '**/details_harness|gsm8k|5_2023-10-23T00-28-03.157336.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-10-23T00-28-03.157336.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hellaswag|10_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T19:32:00.745427.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-management|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- '**/details_harness|truthfulqa:mc|0_2023-07-19T19:32:00.745427.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-07-19T19:32:00.745427.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_10_23T00_28_03.157336
path:
- '**/details_harness|winogrande|5_2023-10-23T00-28-03.157336.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-10-23T00-28-03.157336.parquet'
- config_name: results
data_files:
- split: 2023_07_19T19_32_00.745427
path:
- results_2023-07-19T19:32:00.745427.parquet
- split: 2023_10_23T00_28_03.157336
path:
- results_2023-10-23T00-28-03.157336.parquet
- split: latest
path:
- results_2023-10-23T00-28-03.157336.parquet
---
# Dataset Card for Evaluation run of TheBloke/gpt4-alpaca-lora-13B-HF
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/TheBloke/gpt4-alpaca-lora-13B-HF
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [TheBloke/gpt4-alpaca-lora-13B-HF](https://huggingface.co/TheBloke/gpt4-alpaca-lora-13B-HF) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_TheBloke__gpt4-alpaca-lora-13B-HF",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-10-23T00:28:03.157336](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__gpt4-alpaca-lora-13B-HF/blob/main/results_2023-10-23T00-28-03.157336.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"em": 0.0041946308724832215,
"em_stderr": 0.0006618716168266549,
"f1": 0.06315121644295306,
"f1_stderr": 0.0014384546797583987,
"acc": 0.4290722743845191,
"acc_stderr": 0.009899761958935093
},
"harness|drop|3": {
"em": 0.0041946308724832215,
"em_stderr": 0.0006618716168266549,
"f1": 0.06315121644295306,
"f1_stderr": 0.0014384546797583987
},
"harness|gsm8k|5": {
"acc": 0.09097801364670205,
"acc_stderr": 0.007921322844013642
},
"harness|winogrande|5": {
"acc": 0.7671665351223362,
"acc_stderr": 0.011878201073856544
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
philschmid/meta-shepherd-human-data | ---
dataset_info:
features:
- name: id
dtype: int64
- name: dataset
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: feedback
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2588873
num_examples: 1317
download_size: 1319368
dataset_size: 2588873
license: cc-by-nc-4.0
---
# Dataset Card for "meta-shepherd-human-data"
Original Dataset: https://github.com/facebookresearch/Shepherd
## Example
```bash
### Question: Where on the planet would you expect a bald eagle to live?
Here are the options:
Option 1: colorado
Option 2: outside
Option 3: protection
Option 4: zoo exhibit
Option 5: world
Please choose the correct option and justify your choice:
### Answer: Bald eagles are found throughout most of North America, from Alaska and Canada south to Mexico. They are also found in some parts of Europe and Asia. In the United States, bald eagles are usually seen near large bodies of water where they hunt for fish. They build their nests high up in tall trees near rivers, lakes, marshes, and coastal areas. Because of hunting and loss of habitat, bald eagle populations declined dramatically during the twentieth century. Conservation efforts have helped increase their numbers, and they were removed from the U.S. Endangered Species List in 2007.
### Feedback: The answer adds extra information, last 2 sentences are unnecessary. It does not state which options specifically are where bald eagles might live, like outside, Colorado, Zoo Exhibit, and World.
``` |
nsanghi/sample-datasets | ---
license: apache-2.0
---
|
liuyanchen1015/MULTI_VALUE_cola_present_modals | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: int64
- name: idx
dtype: int64
- name: value_score
dtype: int64
splits:
- name: dev
num_bytes: 4486
num_examples: 53
- name: test
num_bytes: 4056
num_examples: 49
- name: train
num_bytes: 27143
num_examples: 345
download_size: 22019
dataset_size: 35685
---
# Dataset Card for "MULTI_VALUE_cola_present_modals"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Chemsseddine/autotrain-data-consbert | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: consbert
## Dataset Description
This dataset has been automatically processed by AutoTrain for project consbert.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "DECLARATION OF PERFORMANCE fermacell Screws 1. unique identification code of the product type 2. purpose of use 3. manufacturer 5. system(s) for assessment and verification of constancy of performance 6. harmonised standard Notified body(ies) 7. Declared performance Essential feature Reaction to fire Tensile strength Length Corrosion protection (Reis oeueelt Nr. FC-0103 A FC-0103 A Drywall screws type TSN for fastening gypsum fibreboards James Hardie Europe GmbH Bennigsen- Platz 1 D-40474 Disseldorf Tel. +49 800 3864001 E-Mail fermacell jameshardie.de System 4 DIN EN 14566:2008+A1:2009 Stichting Hout Research (2590) Performance Al fulfilled <63mm Phosphated - Class 48 The performance of the above product corresponds to the declared performance(s). The manufacturer mentioned aboveis solely responsible for the preparation of the declaration of performancein accordance with Regulation (EU) No. 305/2011. Signed for the manufacturer and on behalf of the manufacturerof: Dusseldorf, 01.01.2020 2020 James Hardie Europe GmbH. and designate registered and incorporated trademarks of James Hardie Technology Limited Dr. J\u00e9rg Brinkmann (CEO) AESTUVER Seite 1/1 ",
"target": 1
},
{
"text": "DERBIGUM\u201d MAKING BUILDINGS SMART 9 - Performances d\u00e9clar\u00e9es selon EN 13707 : 2004 + A2: 2009 Caract\u00e9ristiques essentielles Performances Unit\u00e9s R\u00e9sistance a un feu ext\u00e9rieur (Note 1) FRoof (t3) - R\u00e9action au feu F - Etanch\u00e9it\u00e9 a l\u2019eau Conforme - Propri\u00e9t\u00e9s en traction : R\u00e9sistance en traction LxT* 900 x 700(+4 20%) N/50 mm Allongement LxT* 45 x 45 (+ 15) % R\u00e9sistance aux racines NPD** - R\u00e9sistance au poinconnementstatique (A) 20 kg R\u00e9sistance au choc (A et B) NPD** mm R\u00e9sistance a la d\u00e9chirure LxT* 200 x 200 (+ 20%) N R\u00e9sistance des jonctions: R\u00e9sistance au pelage NPD** N/50 mm R\u00e9sistance au cisaillement NPD** N/50 mm Durabilit\u00e9 : Sous UV, eau et chaleur Conforme - Pliabilit\u00e9 a froid apr\u00e9s vieillissement a la -10 (+ 5) \u00b0C chaleur Pliabilit\u00e9 a froid -18 \u00b0C Substances dangereuses (Note 2) - * L signifie la direction longitudinale, T signifie la direction transversale **NPD signifie Performance Non D\u00e9termin\u00e9e Note 1: Aucune performance ne peut \u00e9tre donn\u00e9e pourle produit seul, la performance de r\u00e9sistance a un feu ext\u00e9rieur d\u2019une toiture d\u00e9pend du syst\u00e9me complet Note 2: En l\u2019absence de norme d\u2019essai europ\u00e9enne harmonis\u00e9e, aucune performanceli\u00e9e au comportementa la lixiviation ne peut \u00e9tre d\u00e9clar\u00e9e, la d\u00e9claration doit \u00e9tre \u00e9tablie selon les dispositions nationales en vigueur. 10 - Les performances du produit identifi\u00e9 aux points 1 et 2 ci-dessus sont conformes aux performances d\u00e9clar\u00e9es indiqu\u00e9es au point 9. La pr\u00e9sente d\u00e9claration des performances est \u00e9tablie sous la seule responsabilit\u00e9 du fabricant identifi\u00e9 au point 4 Sign\u00e9 pourle fabricant et en son nom par: Mr Steve Geubels, Group Operations Director Perwez ,30/09/2016 Page 2 of 2 ",
"target": 8
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=9, names=['0', '1', '2', '3', '4', '5', '6', '7', '8'], id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 59 |
| valid | 18 |
|
MihaiPopa2/HelloWorldExamples | ---
license: cc0-1.0
tags:
- Code
- Coding
- Programming
pretty_name: One-Liner Hello world! Examples
language_bcp47:
- Code
task_categories:
- text-generation
size_categories:
- n<1K
---
# Intro
Welcome to the one-liner "Hello world!" examples!
This is a dataset containing "Hello world!" examples in 10+ languages!
# Notes
If you found a language that's not listed here, you can open a pull request!
You can also create and train models, or even spaces!
Note that this dataset is in CSV format, so it's not as flexible as JSON! |
ashishkmr2094/sail_lid | ---
task_categories:
- token-classification
size_categories:
- 10K<n<100K
---
# Dataset Card for SAIL 2017
### Dataset Summary
The dataset was a part of Shared Task on Sentiment Analysis in Indian Languages (SAIL) Tweets. It was presented in FIRE 2017.
### Languages
Code-Mixed sentences in English and Hindi
### Source Data
http://amitavadas.com/SAIL/data.html
#### Initial Data Collection and Normalization
All the data from the source is collected and cleaned. Punctuations, Special characters and Emoticons are removed. |
open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 | ---
pretty_name: Evaluation run of habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1](https://huggingface.co/habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1_public\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-11-23T17:25:53.937618](https://huggingface.co/datasets/open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1_public/blob/main/results_2023-11-23T17-25-53.937618.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.264322164864966,\n\
\ \"acc_stderr\": 0.031129712846210546,\n \"acc_norm\": 0.266254876290074,\n\
\ \"acc_norm_stderr\": 0.03192353802372127,\n \"mc1\": 0.23133414932680538,\n\
\ \"mc1_stderr\": 0.014761945174862671,\n \"mc2\": 0.3834755033374754,\n\
\ \"mc2_stderr\": 0.014667489374542058,\n \"em\": 0.0016778523489932886,\n\
\ \"em_stderr\": 0.00041913301788268684,\n \"f1\": 0.041514261744966606,\n\
\ \"f1_stderr\": 0.00114449364248572\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.2986348122866894,\n \"acc_stderr\": 0.013374078615068756,\n\
\ \"acc_norm\": 0.32849829351535836,\n \"acc_norm_stderr\": 0.013724978465537378\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.44453296156144195,\n\
\ \"acc_stderr\": 0.004958983318274571,\n \"acc_norm\": 0.581557458673571,\n\
\ \"acc_norm_stderr\": 0.004922953651577688\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3333333333333333,\n\
\ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.3333333333333333,\n\
\ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.2565789473684211,\n \"acc_stderr\": 0.0355418036802569,\n\
\ \"acc_norm\": 0.2565789473684211,\n \"acc_norm_stderr\": 0.0355418036802569\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.21,\n\
\ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.21,\n \
\ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\
\ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2638888888888889,\n\
\ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.2638888888888889,\n\
\ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.28,\n\
\ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2658959537572254,\n\
\ \"acc_stderr\": 0.03368762932259431,\n \"acc_norm\": 0.2658959537572254,\n\
\ \"acc_norm_stderr\": 0.03368762932259431\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.04533838195929774,\n\
\ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.04533838195929774\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\
\ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.20425531914893616,\n \"acc_stderr\": 0.02635515841334942,\n\
\ \"acc_norm\": 0.20425531914893616,\n \"acc_norm_stderr\": 0.02635515841334942\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
\ \"acc_stderr\": 0.04049339297748141,\n \"acc_norm\": 0.24561403508771928,\n\
\ \"acc_norm_stderr\": 0.04049339297748141\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.3103448275862069,\n \"acc_stderr\": 0.03855289616378948,\n\
\ \"acc_norm\": 0.3103448275862069,\n \"acc_norm_stderr\": 0.03855289616378948\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2804232804232804,\n \"acc_stderr\": 0.02313528797432563,\n \"\
acc_norm\": 0.2804232804232804,\n \"acc_norm_stderr\": 0.02313528797432563\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.14285714285714285,\n\
\ \"acc_stderr\": 0.03129843185743808,\n \"acc_norm\": 0.14285714285714285,\n\
\ \"acc_norm_stderr\": 0.03129843185743808\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.24838709677419354,\n\
\ \"acc_stderr\": 0.02458002892148101,\n \"acc_norm\": 0.24838709677419354,\n\
\ \"acc_norm_stderr\": 0.02458002892148101\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.2561576354679803,\n \"acc_stderr\": 0.030712730070982592,\n\
\ \"acc_norm\": 0.2561576354679803,\n \"acc_norm_stderr\": 0.030712730070982592\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \"acc_norm\"\
: 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.2545454545454545,\n \"acc_stderr\": 0.0340150671524904,\n\
\ \"acc_norm\": 0.2545454545454545,\n \"acc_norm_stderr\": 0.0340150671524904\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.2777777777777778,\n \"acc_stderr\": 0.03191178226713547,\n \"\
acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.03191178226713547\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.29015544041450775,\n \"acc_stderr\": 0.032752644677915145,\n\
\ \"acc_norm\": 0.29015544041450775,\n \"acc_norm_stderr\": 0.032752644677915145\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.2512820512820513,\n \"acc_stderr\": 0.021992016662370547,\n\
\ \"acc_norm\": 0.2512820512820513,\n \"acc_norm_stderr\": 0.021992016662370547\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.23109243697478993,\n \"acc_stderr\": 0.027381406927868952,\n\
\ \"acc_norm\": 0.23109243697478993,\n \"acc_norm_stderr\": 0.027381406927868952\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763743,\n \"\
acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763743\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.23486238532110093,\n \"acc_stderr\": 0.018175110510343578,\n \"\
acc_norm\": 0.23486238532110093,\n \"acc_norm_stderr\": 0.018175110510343578\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.26851851851851855,\n \"acc_stderr\": 0.03022522616001239,\n \"\
acc_norm\": 0.26851851851851855,\n \"acc_norm_stderr\": 0.03022522616001239\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.23529411764705882,\n \"acc_stderr\": 0.029771775228145638,\n \"\
acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.029771775228145638\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.27848101265822783,\n \"acc_stderr\": 0.029178682304842538,\n \
\ \"acc_norm\": 0.27848101265822783,\n \"acc_norm_stderr\": 0.029178682304842538\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3004484304932735,\n\
\ \"acc_stderr\": 0.030769352008229136,\n \"acc_norm\": 0.3004484304932735,\n\
\ \"acc_norm_stderr\": 0.030769352008229136\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.19083969465648856,\n \"acc_stderr\": 0.03446513350752598,\n\
\ \"acc_norm\": 0.19083969465648856,\n \"acc_norm_stderr\": 0.03446513350752598\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.32231404958677684,\n \"acc_stderr\": 0.042664163633521664,\n \"\
acc_norm\": 0.32231404958677684,\n \"acc_norm_stderr\": 0.042664163633521664\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.3055555555555556,\n\
\ \"acc_stderr\": 0.044531975073749834,\n \"acc_norm\": 0.3055555555555556,\n\
\ \"acc_norm_stderr\": 0.044531975073749834\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.294478527607362,\n \"acc_stderr\": 0.03581165790474082,\n\
\ \"acc_norm\": 0.294478527607362,\n \"acc_norm_stderr\": 0.03581165790474082\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.26785714285714285,\n\
\ \"acc_stderr\": 0.04203277291467763,\n \"acc_norm\": 0.26785714285714285,\n\
\ \"acc_norm_stderr\": 0.04203277291467763\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.1650485436893204,\n \"acc_stderr\": 0.036756688322331886,\n\
\ \"acc_norm\": 0.1650485436893204,\n \"acc_norm_stderr\": 0.036756688322331886\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2222222222222222,\n\
\ \"acc_stderr\": 0.027236013946196676,\n \"acc_norm\": 0.2222222222222222,\n\
\ \"acc_norm_stderr\": 0.027236013946196676\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.27586206896551724,\n\
\ \"acc_stderr\": 0.01598281477469563,\n \"acc_norm\": 0.27586206896551724,\n\
\ \"acc_norm_stderr\": 0.01598281477469563\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.2543352601156069,\n \"acc_stderr\": 0.023445826276545532,\n\
\ \"acc_norm\": 0.2543352601156069,\n \"acc_norm_stderr\": 0.023445826276545532\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\
\ \"acc_stderr\": 0.014422292204808835,\n \"acc_norm\": 0.24692737430167597,\n\
\ \"acc_norm_stderr\": 0.014422292204808835\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.26143790849673204,\n \"acc_stderr\": 0.025160998214292456,\n\
\ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.025160998214292456\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2958199356913183,\n\
\ \"acc_stderr\": 0.025922371788818795,\n \"acc_norm\": 0.2958199356913183,\n\
\ \"acc_norm_stderr\": 0.025922371788818795\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.2962962962962963,\n \"acc_stderr\": 0.025407197798890148,\n\
\ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.025407197798890148\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.23049645390070922,\n \"acc_stderr\": 0.025123739226872405,\n \
\ \"acc_norm\": 0.23049645390070922,\n \"acc_norm_stderr\": 0.025123739226872405\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2607561929595828,\n\
\ \"acc_stderr\": 0.011213471559602341,\n \"acc_norm\": 0.2607561929595828,\n\
\ \"acc_norm_stderr\": 0.011213471559602341\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.3088235294117647,\n \"acc_stderr\": 0.028064998167040094,\n\
\ \"acc_norm\": 0.3088235294117647,\n \"acc_norm_stderr\": 0.028064998167040094\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.2434640522875817,\n \"acc_stderr\": 0.017362473762146634,\n \
\ \"acc_norm\": 0.2434640522875817,\n \"acc_norm_stderr\": 0.017362473762146634\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.20909090909090908,\n\
\ \"acc_stderr\": 0.038950910157241364,\n \"acc_norm\": 0.20909090909090908,\n\
\ \"acc_norm_stderr\": 0.038950910157241364\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.2,\n \"acc_stderr\": 0.025607375986579157,\n \
\ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.025607375986579157\n \
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.2537313432835821,\n\
\ \"acc_stderr\": 0.03076944496729601,\n \"acc_norm\": 0.2537313432835821,\n\
\ \"acc_norm_stderr\": 0.03076944496729601\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.2710843373493976,\n\
\ \"acc_stderr\": 0.03460579907553027,\n \"acc_norm\": 0.2710843373493976,\n\
\ \"acc_norm_stderr\": 0.03460579907553027\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.2631578947368421,\n \"acc_stderr\": 0.03377310252209195,\n\
\ \"acc_norm\": 0.2631578947368421,\n \"acc_norm_stderr\": 0.03377310252209195\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.23133414932680538,\n\
\ \"mc1_stderr\": 0.014761945174862671,\n \"mc2\": 0.3834755033374754,\n\
\ \"mc2_stderr\": 0.014667489374542058\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5769534333070244,\n \"acc_stderr\": 0.013885055359056481\n\
\ },\n \"harness|drop|3\": {\n \"em\": 0.0016778523489932886,\n \
\ \"em_stderr\": 0.00041913301788268684,\n \"f1\": 0.041514261744966606,\n\
\ \"f1_stderr\": 0.00114449364248572\n },\n \"harness|gsm8k|5\": {\n\
\ \"acc\": 0.004548900682335102,\n \"acc_stderr\": 0.0018535550440036193\n\
\ }\n}\n```"
repo_url: https://huggingface.co/habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|arc:challenge|25_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|drop|3_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|gsm8k|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hellaswag|10_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T17-25-53.937618.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-11-23T17-25-53.937618.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- '**/details_harness|winogrande|5_2023-11-23T17-25-53.937618.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-11-23T17-25-53.937618.parquet'
- config_name: results
data_files:
- split: 2023_11_23T17_25_53.937618
path:
- results_2023-11-23T17-25-53.937618.parquet
- split: latest
path:
- results_2023-11-23T17-25-53.937618.parquet
---
# Dataset Card for Evaluation run of habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1](https://huggingface.co/habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1_public",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-11-23T17:25:53.937618](https://huggingface.co/datasets/open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1_public/blob/main/results_2023-11-23T17-25-53.937618.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.264322164864966,
"acc_stderr": 0.031129712846210546,
"acc_norm": 0.266254876290074,
"acc_norm_stderr": 0.03192353802372127,
"mc1": 0.23133414932680538,
"mc1_stderr": 0.014761945174862671,
"mc2": 0.3834755033374754,
"mc2_stderr": 0.014667489374542058,
"em": 0.0016778523489932886,
"em_stderr": 0.00041913301788268684,
"f1": 0.041514261744966606,
"f1_stderr": 0.00114449364248572
},
"harness|arc:challenge|25": {
"acc": 0.2986348122866894,
"acc_stderr": 0.013374078615068756,
"acc_norm": 0.32849829351535836,
"acc_norm_stderr": 0.013724978465537378
},
"harness|hellaswag|10": {
"acc": 0.44453296156144195,
"acc_stderr": 0.004958983318274571,
"acc_norm": 0.581557458673571,
"acc_norm_stderr": 0.004922953651577688
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.26,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.26,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.04072314811876837,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.04072314811876837
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.2565789473684211,
"acc_stderr": 0.0355418036802569,
"acc_norm": 0.2565789473684211,
"acc_norm_stderr": 0.0355418036802569
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.21,
"acc_stderr": 0.040936018074033256,
"acc_norm": 0.21,
"acc_norm_stderr": 0.040936018074033256
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.2339622641509434,
"acc_stderr": 0.02605529690115292,
"acc_norm": 0.2339622641509434,
"acc_norm_stderr": 0.02605529690115292
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.2638888888888889,
"acc_stderr": 0.03685651095897532,
"acc_norm": 0.2638888888888889,
"acc_norm_stderr": 0.03685651095897532
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816506,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816506
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542128,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542128
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.2658959537572254,
"acc_stderr": 0.03368762932259431,
"acc_norm": 0.2658959537572254,
"acc_norm_stderr": 0.03368762932259431
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.29411764705882354,
"acc_stderr": 0.04533838195929774,
"acc_norm": 0.29411764705882354,
"acc_norm_stderr": 0.04533838195929774
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.26,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.26,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.20425531914893616,
"acc_stderr": 0.02635515841334942,
"acc_norm": 0.20425531914893616,
"acc_norm_stderr": 0.02635515841334942
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.04049339297748141,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.04049339297748141
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.3103448275862069,
"acc_stderr": 0.03855289616378948,
"acc_norm": 0.3103448275862069,
"acc_norm_stderr": 0.03855289616378948
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2804232804232804,
"acc_stderr": 0.02313528797432563,
"acc_norm": 0.2804232804232804,
"acc_norm_stderr": 0.02313528797432563
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.14285714285714285,
"acc_stderr": 0.03129843185743808,
"acc_norm": 0.14285714285714285,
"acc_norm_stderr": 0.03129843185743808
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.24838709677419354,
"acc_stderr": 0.02458002892148101,
"acc_norm": 0.24838709677419354,
"acc_norm_stderr": 0.02458002892148101
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.2561576354679803,
"acc_stderr": 0.030712730070982592,
"acc_norm": 0.2561576354679803,
"acc_norm_stderr": 0.030712730070982592
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.2545454545454545,
"acc_stderr": 0.0340150671524904,
"acc_norm": 0.2545454545454545,
"acc_norm_stderr": 0.0340150671524904
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.03191178226713547,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.03191178226713547
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.29015544041450775,
"acc_stderr": 0.032752644677915145,
"acc_norm": 0.29015544041450775,
"acc_norm_stderr": 0.032752644677915145
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.2512820512820513,
"acc_stderr": 0.021992016662370547,
"acc_norm": 0.2512820512820513,
"acc_norm_stderr": 0.021992016662370547
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.26296296296296295,
"acc_stderr": 0.02684205787383371,
"acc_norm": 0.26296296296296295,
"acc_norm_stderr": 0.02684205787383371
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.23109243697478993,
"acc_stderr": 0.027381406927868952,
"acc_norm": 0.23109243697478993,
"acc_norm_stderr": 0.027381406927868952
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2781456953642384,
"acc_stderr": 0.03658603262763743,
"acc_norm": 0.2781456953642384,
"acc_norm_stderr": 0.03658603262763743
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.23486238532110093,
"acc_stderr": 0.018175110510343578,
"acc_norm": 0.23486238532110093,
"acc_norm_stderr": 0.018175110510343578
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.26851851851851855,
"acc_stderr": 0.03022522616001239,
"acc_norm": 0.26851851851851855,
"acc_norm_stderr": 0.03022522616001239
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.23529411764705882,
"acc_stderr": 0.029771775228145638,
"acc_norm": 0.23529411764705882,
"acc_norm_stderr": 0.029771775228145638
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.27848101265822783,
"acc_stderr": 0.029178682304842538,
"acc_norm": 0.27848101265822783,
"acc_norm_stderr": 0.029178682304842538
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.3004484304932735,
"acc_stderr": 0.030769352008229136,
"acc_norm": 0.3004484304932735,
"acc_norm_stderr": 0.030769352008229136
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.19083969465648856,
"acc_stderr": 0.03446513350752598,
"acc_norm": 0.19083969465648856,
"acc_norm_stderr": 0.03446513350752598
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.32231404958677684,
"acc_stderr": 0.042664163633521664,
"acc_norm": 0.32231404958677684,
"acc_norm_stderr": 0.042664163633521664
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.3055555555555556,
"acc_stderr": 0.044531975073749834,
"acc_norm": 0.3055555555555556,
"acc_norm_stderr": 0.044531975073749834
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.294478527607362,
"acc_stderr": 0.03581165790474082,
"acc_norm": 0.294478527607362,
"acc_norm_stderr": 0.03581165790474082
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.26785714285714285,
"acc_stderr": 0.04203277291467763,
"acc_norm": 0.26785714285714285,
"acc_norm_stderr": 0.04203277291467763
},
"harness|hendrycksTest-management|5": {
"acc": 0.1650485436893204,
"acc_stderr": 0.036756688322331886,
"acc_norm": 0.1650485436893204,
"acc_norm_stderr": 0.036756688322331886
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.2222222222222222,
"acc_stderr": 0.027236013946196676,
"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.027236013946196676
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768078,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768078
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.27586206896551724,
"acc_stderr": 0.01598281477469563,
"acc_norm": 0.27586206896551724,
"acc_norm_stderr": 0.01598281477469563
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.2543352601156069,
"acc_stderr": 0.023445826276545532,
"acc_norm": 0.2543352601156069,
"acc_norm_stderr": 0.023445826276545532
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.24692737430167597,
"acc_stderr": 0.014422292204808835,
"acc_norm": 0.24692737430167597,
"acc_norm_stderr": 0.014422292204808835
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.26143790849673204,
"acc_stderr": 0.025160998214292456,
"acc_norm": 0.26143790849673204,
"acc_norm_stderr": 0.025160998214292456
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.2958199356913183,
"acc_stderr": 0.025922371788818795,
"acc_norm": 0.2958199356913183,
"acc_norm_stderr": 0.025922371788818795
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.2962962962962963,
"acc_stderr": 0.025407197798890148,
"acc_norm": 0.2962962962962963,
"acc_norm_stderr": 0.025407197798890148
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.23049645390070922,
"acc_stderr": 0.025123739226872405,
"acc_norm": 0.23049645390070922,
"acc_norm_stderr": 0.025123739226872405
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.2607561929595828,
"acc_stderr": 0.011213471559602341,
"acc_norm": 0.2607561929595828,
"acc_norm_stderr": 0.011213471559602341
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.3088235294117647,
"acc_stderr": 0.028064998167040094,
"acc_norm": 0.3088235294117647,
"acc_norm_stderr": 0.028064998167040094
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.2434640522875817,
"acc_stderr": 0.017362473762146634,
"acc_norm": 0.2434640522875817,
"acc_norm_stderr": 0.017362473762146634
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.20909090909090908,
"acc_stderr": 0.038950910157241364,
"acc_norm": 0.20909090909090908,
"acc_norm_stderr": 0.038950910157241364
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.2,
"acc_stderr": 0.025607375986579157,
"acc_norm": 0.2,
"acc_norm_stderr": 0.025607375986579157
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.2537313432835821,
"acc_stderr": 0.03076944496729601,
"acc_norm": 0.2537313432835821,
"acc_norm_stderr": 0.03076944496729601
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.29,
"acc_stderr": 0.04560480215720683,
"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720683
},
"harness|hendrycksTest-virology|5": {
"acc": 0.2710843373493976,
"acc_stderr": 0.03460579907553027,
"acc_norm": 0.2710843373493976,
"acc_norm_stderr": 0.03460579907553027
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.03377310252209195,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.03377310252209195
},
"harness|truthfulqa:mc|0": {
"mc1": 0.23133414932680538,
"mc1_stderr": 0.014761945174862671,
"mc2": 0.3834755033374754,
"mc2_stderr": 0.014667489374542058
},
"harness|winogrande|5": {
"acc": 0.5769534333070244,
"acc_stderr": 0.013885055359056481
},
"harness|drop|3": {
"em": 0.0016778523489932886,
"em_stderr": 0.00041913301788268684,
"f1": 0.041514261744966606,
"f1_stderr": 0.00114449364248572
},
"harness|gsm8k|5": {
"acc": 0.004548900682335102,
"acc_stderr": 0.0018535550440036193
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
TinyPixel/elm-m | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2555808
num_examples: 1073
download_size: 1391592
dataset_size: 2555808
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "elm-m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
lum-ai/metal-python-gentlenlp-explanatations | ---
dataset_info:
features:
- name: id
dtype: string
- name: chunk_id
dtype: string
- name: text
dtype: string
- name: start_text
dtype: int64
- name: stop_text
dtype: int64
- name: code
dtype: string
- name: start_code
dtype: int64
- name: stop_code
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 4621098
num_examples: 147
download_size: 108196
dataset_size: 4621098
---
# Dataset Card for "metal-python-gentlenlp-explanatations"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
CyberHarem/volume_nikke | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of volume/ボリューム/沃纶姆/볼륨 (Nikke: Goddess of Victory)
This is the dataset of volume/ボリューム/沃纶姆/볼륨 (Nikke: Goddess of Victory), containing 130 images and their tags.
The core tags of this character are `long_hair, breasts, red_hair, large_breasts, bangs, sunglasses, eyewear_on_head, yellow_eyes`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 130 | 248.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/volume_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 130 | 121.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/volume_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 330 | 260.84 MiB | [Download](https://huggingface.co/datasets/CyberHarem/volume_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 130 | 211.73 MiB | [Download](https://huggingface.co/datasets/CyberHarem/volume_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 330 | 384.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/volume_nikke/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/volume_nikke',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 13 |  |  |  |  |  | 1girl, belt, black_bikini, open_jacket, red_jacket, solo, looking_at_viewer, thighs, bodystocking, long_sleeves, torn_clothes, sidelocks, sitting, smile, spread_legs, leather_jacket, cleavage, blush, thigh_strap, hair_between_eyes, chair, covered_navel, parted_lips, white_background, white_socks |
| 1 | 9 |  |  |  |  |  | 1girl, black_bikini, blush, cleavage, looking_at_viewer, open_jacket, red_jacket, solo, thighs, long_sleeves, navel, thigh_strap, smile, belt, hair_between_eyes, closed_mouth, collarbone, sidelocks, choker, highleg, official_alternate_costume, sitting |
| 2 | 5 |  |  |  |  |  | 1girl, ass, black_bikini, long_sleeves, looking_at_viewer, looking_back, red_jacket, solo, blush, open_jacket, squatting, torn_pantyhose, bodystocking, from_behind, orange_eyes, sidelocks, smile, thighs, white_background, black_footwear, brown_pantyhose, open_mouth, parted_lips, sideboob, simple_background, stage_lights, thigh_strap, thong |
| 3 | 6 |  |  |  |  |  | 1girl, ass, blush, long_sleeves, looking_at_viewer, looking_back, red_jacket, solo, thighs, from_behind, panties, thong, indoors, open_jacket, sideboob, smile, pantyhose, parted_lips |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | belt | black_bikini | open_jacket | red_jacket | solo | looking_at_viewer | thighs | bodystocking | long_sleeves | torn_clothes | sidelocks | sitting | smile | spread_legs | leather_jacket | cleavage | blush | thigh_strap | hair_between_eyes | chair | covered_navel | parted_lips | white_background | white_socks | navel | closed_mouth | collarbone | choker | highleg | official_alternate_costume | ass | looking_back | squatting | torn_pantyhose | from_behind | orange_eyes | black_footwear | brown_pantyhose | open_mouth | sideboob | simple_background | stage_lights | thong | panties | indoors | pantyhose |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:---------------|:--------------|:-------------|:-------|:--------------------|:---------|:---------------|:---------------|:---------------|:------------|:----------|:--------|:--------------|:-----------------|:-----------|:--------|:--------------|:--------------------|:--------|:----------------|:--------------|:-------------------|:--------------|:--------|:---------------|:-------------|:---------|:----------|:-----------------------------|:------|:---------------|:------------|:-----------------|:--------------|:--------------|:-----------------|:------------------|:-------------|:-----------|:--------------------|:---------------|:--------|:----------|:----------|:------------|
| 0 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | | X | | X | X | X | | | X | X | X | X | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | | X | X | X | X | X | X | X | X | | X | | X | | | | X | X | | | | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | |
| 3 | 6 |  |  |  |  |  | X | | | X | X | X | X | X | | X | | | | X | | | | X | | | | | X | | | | | | | | | X | X | | | X | | | | | X | | | X | X | X | X |
|
open-llm-leaderboard/details_L-R__LLmRa-1.3B_V2 | ---
pretty_name: Evaluation run of L-R/LLmRa-1.3B_V2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [L-R/LLmRa-1.3B_V2](https://huggingface.co/L-R/LLmRa-1.3B_V2) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_L-R__LLmRa-1.3B_V2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-04T18:13:15.714207](https://huggingface.co/datasets/open-llm-leaderboard/details_L-R__LLmRa-1.3B_V2/blob/main/results_2023-12-04T18-13-15.714207.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.2645874461578066,\n\
\ \"acc_stderr\": 0.03098158394706952,\n \"acc_norm\": 0.26593270237799466,\n\
\ \"acc_norm_stderr\": 0.031804165627672396,\n \"mc1\": 0.2386780905752754,\n\
\ \"mc1_stderr\": 0.014922629695456418,\n \"mc2\": 0.3646013754071996,\n\
\ \"mc2_stderr\": 0.014251642555151921\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.2815699658703072,\n \"acc_stderr\": 0.013143376735009009,\n\
\ \"acc_norm\": 0.3046075085324232,\n \"acc_norm_stderr\": 0.01344952210993249\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.41037641904003186,\n\
\ \"acc_stderr\": 0.004908967278222486,\n \"acc_norm\": 0.5302728540131448,\n\
\ \"acc_norm_stderr\": 0.004980627287147582\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.23703703703703705,\n\
\ \"acc_stderr\": 0.03673731683969506,\n \"acc_norm\": 0.23703703703703705,\n\
\ \"acc_norm_stderr\": 0.03673731683969506\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.19736842105263158,\n \"acc_stderr\": 0.03238981601699397,\n\
\ \"acc_norm\": 0.19736842105263158,\n \"acc_norm_stderr\": 0.03238981601699397\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.25,\n\
\ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n \
\ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.2981132075471698,\n \"acc_stderr\": 0.028152837942493854,\n\
\ \"acc_norm\": 0.2981132075471698,\n \"acc_norm_stderr\": 0.028152837942493854\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3055555555555556,\n\
\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.3055555555555556,\n\
\ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.19,\n \"acc_stderr\": 0.03942772444036623,\n \
\ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.03942772444036623\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\
\ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.32947976878612717,\n\
\ \"acc_stderr\": 0.03583901754736411,\n \"acc_norm\": 0.32947976878612717,\n\
\ \"acc_norm_stderr\": 0.03583901754736411\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062949,\n\
\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062949\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.22,\n \"acc_stderr\": 0.041633319989322716,\n \"acc_norm\": 0.22,\n\
\ \"acc_norm_stderr\": 0.041633319989322716\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.17446808510638298,\n \"acc_stderr\": 0.024809442335503976,\n\
\ \"acc_norm\": 0.17446808510638298,\n \"acc_norm_stderr\": 0.024809442335503976\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\
\ \"acc_stderr\": 0.0414243971948936,\n \"acc_norm\": 0.2631578947368421,\n\
\ \"acc_norm_stderr\": 0.0414243971948936\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.2689655172413793,\n \"acc_stderr\": 0.036951833116502325,\n\
\ \"acc_norm\": 0.2689655172413793,\n \"acc_norm_stderr\": 0.036951833116502325\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2566137566137566,\n \"acc_stderr\": 0.022494510767503154,\n \"\
acc_norm\": 0.2566137566137566,\n \"acc_norm_stderr\": 0.022494510767503154\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.21428571428571427,\n\
\ \"acc_stderr\": 0.03670066451047182,\n \"acc_norm\": 0.21428571428571427,\n\
\ \"acc_norm_stderr\": 0.03670066451047182\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768079,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768079\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.27419354838709675,\n\
\ \"acc_stderr\": 0.025378139970885193,\n \"acc_norm\": 0.27419354838709675,\n\
\ \"acc_norm_stderr\": 0.025378139970885193\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.30049261083743845,\n \"acc_stderr\": 0.032257994762334846,\n\
\ \"acc_norm\": 0.30049261083743845,\n \"acc_norm_stderr\": 0.032257994762334846\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\"\
: 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.21212121212121213,\n \"acc_stderr\": 0.03192271569548298,\n\
\ \"acc_norm\": 0.21212121212121213,\n \"acc_norm_stderr\": 0.03192271569548298\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.30303030303030304,\n \"acc_stderr\": 0.03274287914026867,\n \"\
acc_norm\": 0.30303030303030304,\n \"acc_norm_stderr\": 0.03274287914026867\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.3471502590673575,\n \"acc_stderr\": 0.034356961683613546,\n\
\ \"acc_norm\": 0.3471502590673575,\n \"acc_norm_stderr\": 0.034356961683613546\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.3435897435897436,\n \"acc_stderr\": 0.02407869658063547,\n \
\ \"acc_norm\": 0.3435897435897436,\n \"acc_norm_stderr\": 0.02407869658063547\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895991,\n \
\ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895991\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.2773109243697479,\n \"acc_stderr\": 0.02907937453948001,\n \
\ \"acc_norm\": 0.2773109243697479,\n \"acc_norm_stderr\": 0.02907937453948001\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.304635761589404,\n \"acc_stderr\": 0.03757949922943343,\n \"acc_norm\"\
: 0.304635761589404,\n \"acc_norm_stderr\": 0.03757949922943343\n },\n\
\ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.30825688073394497,\n\
\ \"acc_stderr\": 0.019798366698367275,\n \"acc_norm\": 0.30825688073394497,\n\
\ \"acc_norm_stderr\": 0.019798366698367275\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
: {\n \"acc\": 0.375,\n \"acc_stderr\": 0.033016908987210894,\n \
\ \"acc_norm\": 0.375,\n \"acc_norm_stderr\": 0.033016908987210894\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.22058823529411764,\n \"acc_stderr\": 0.029102254389674096,\n \"\
acc_norm\": 0.22058823529411764,\n \"acc_norm_stderr\": 0.029102254389674096\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.22784810126582278,\n \"acc_stderr\": 0.0273034845990694,\n \
\ \"acc_norm\": 0.22784810126582278,\n \"acc_norm_stderr\": 0.0273034845990694\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.2062780269058296,\n\
\ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.2062780269058296,\n\
\ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.2366412213740458,\n \"acc_stderr\": 0.03727673575596917,\n\
\ \"acc_norm\": 0.2366412213740458,\n \"acc_norm_stderr\": 0.03727673575596917\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.2644628099173554,\n \"acc_stderr\": 0.04026187527591207,\n \"\
acc_norm\": 0.2644628099173554,\n \"acc_norm_stderr\": 0.04026187527591207\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.21296296296296297,\n\
\ \"acc_stderr\": 0.03957835471980979,\n \"acc_norm\": 0.21296296296296297,\n\
\ \"acc_norm_stderr\": 0.03957835471980979\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.25766871165644173,\n \"acc_stderr\": 0.03436150827846917,\n\
\ \"acc_norm\": 0.25766871165644173,\n \"acc_norm_stderr\": 0.03436150827846917\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.22321428571428573,\n\
\ \"acc_stderr\": 0.03952301967702511,\n \"acc_norm\": 0.22321428571428573,\n\
\ \"acc_norm_stderr\": 0.03952301967702511\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.3786407766990291,\n \"acc_stderr\": 0.04802694698258972,\n\
\ \"acc_norm\": 0.3786407766990291,\n \"acc_norm_stderr\": 0.04802694698258972\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3034188034188034,\n\
\ \"acc_stderr\": 0.030118210106942662,\n \"acc_norm\": 0.3034188034188034,\n\
\ \"acc_norm_stderr\": 0.030118210106942662\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720685,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720685\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2247765006385696,\n\
\ \"acc_stderr\": 0.014927447101937169,\n \"acc_norm\": 0.2247765006385696,\n\
\ \"acc_norm_stderr\": 0.014927447101937169\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.2138728323699422,\n \"acc_stderr\": 0.022075709251757177,\n\
\ \"acc_norm\": 0.2138728323699422,\n \"acc_norm_stderr\": 0.022075709251757177\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23687150837988827,\n\
\ \"acc_stderr\": 0.01421957078810399,\n \"acc_norm\": 0.23687150837988827,\n\
\ \"acc_norm_stderr\": 0.01421957078810399\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.26143790849673204,\n \"acc_stderr\": 0.025160998214292456,\n\
\ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.025160998214292456\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2540192926045016,\n\
\ \"acc_stderr\": 0.024723861504771696,\n \"acc_norm\": 0.2540192926045016,\n\
\ \"acc_norm_stderr\": 0.024723861504771696\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.21604938271604937,\n \"acc_stderr\": 0.022899162918445806,\n\
\ \"acc_norm\": 0.21604938271604937,\n \"acc_norm_stderr\": 0.022899162918445806\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.26595744680851063,\n \"acc_stderr\": 0.02635806569888059,\n \
\ \"acc_norm\": 0.26595744680851063,\n \"acc_norm_stderr\": 0.02635806569888059\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23663624511082137,\n\
\ \"acc_stderr\": 0.010855137351572732,\n \"acc_norm\": 0.23663624511082137,\n\
\ \"acc_norm_stderr\": 0.010855137351572732\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.41544117647058826,\n \"acc_stderr\": 0.029935342707877746,\n\
\ \"acc_norm\": 0.41544117647058826,\n \"acc_norm_stderr\": 0.029935342707877746\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.26143790849673204,\n \"acc_stderr\": 0.017776947157528047,\n \
\ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.017776947157528047\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.20909090909090908,\n\
\ \"acc_stderr\": 0.038950910157241364,\n \"acc_norm\": 0.20909090909090908,\n\
\ \"acc_norm_stderr\": 0.038950910157241364\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.2530612244897959,\n \"acc_stderr\": 0.027833023871399697,\n\
\ \"acc_norm\": 0.2530612244897959,\n \"acc_norm_stderr\": 0.027833023871399697\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.2736318407960199,\n\
\ \"acc_stderr\": 0.031524391865554044,\n \"acc_norm\": 0.2736318407960199,\n\
\ \"acc_norm_stderr\": 0.031524391865554044\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \
\ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.21084337349397592,\n\
\ \"acc_stderr\": 0.03175554786629919,\n \"acc_norm\": 0.21084337349397592,\n\
\ \"acc_norm_stderr\": 0.03175554786629919\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.2046783625730994,\n \"acc_stderr\": 0.03094445977853321,\n\
\ \"acc_norm\": 0.2046783625730994,\n \"acc_norm_stderr\": 0.03094445977853321\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2386780905752754,\n\
\ \"mc1_stderr\": 0.014922629695456418,\n \"mc2\": 0.3646013754071996,\n\
\ \"mc2_stderr\": 0.014251642555151921\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5927387529597474,\n \"acc_stderr\": 0.013808654122417847\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
: 0.0\n }\n}\n```"
repo_url: https://huggingface.co/L-R/LLmRa-1.3B_V2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|arc:challenge|25_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|gsm8k|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hellaswag|10_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-13-15.714207.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-13-15.714207.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- '**/details_harness|winogrande|5_2023-12-04T18-13-15.714207.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-04T18-13-15.714207.parquet'
- config_name: results
data_files:
- split: 2023_12_04T18_13_15.714207
path:
- results_2023-12-04T18-13-15.714207.parquet
- split: latest
path:
- results_2023-12-04T18-13-15.714207.parquet
---
# Dataset Card for Evaluation run of L-R/LLmRa-1.3B_V2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/L-R/LLmRa-1.3B_V2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [L-R/LLmRa-1.3B_V2](https://huggingface.co/L-R/LLmRa-1.3B_V2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_L-R__LLmRa-1.3B_V2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-04T18:13:15.714207](https://huggingface.co/datasets/open-llm-leaderboard/details_L-R__LLmRa-1.3B_V2/blob/main/results_2023-12-04T18-13-15.714207.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.2645874461578066,
"acc_stderr": 0.03098158394706952,
"acc_norm": 0.26593270237799466,
"acc_norm_stderr": 0.031804165627672396,
"mc1": 0.2386780905752754,
"mc1_stderr": 0.014922629695456418,
"mc2": 0.3646013754071996,
"mc2_stderr": 0.014251642555151921
},
"harness|arc:challenge|25": {
"acc": 0.2815699658703072,
"acc_stderr": 0.013143376735009009,
"acc_norm": 0.3046075085324232,
"acc_norm_stderr": 0.01344952210993249
},
"harness|hellaswag|10": {
"acc": 0.41037641904003186,
"acc_stderr": 0.004908967278222486,
"acc_norm": 0.5302728540131448,
"acc_norm_stderr": 0.004980627287147582
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816506,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816506
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.23703703703703705,
"acc_stderr": 0.03673731683969506,
"acc_norm": 0.23703703703703705,
"acc_norm_stderr": 0.03673731683969506
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.19736842105263158,
"acc_stderr": 0.03238981601699397,
"acc_norm": 0.19736842105263158,
"acc_norm_stderr": 0.03238981601699397
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.2981132075471698,
"acc_stderr": 0.028152837942493854,
"acc_norm": 0.2981132075471698,
"acc_norm_stderr": 0.028152837942493854
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.3055555555555556,
"acc_stderr": 0.03852084696008534,
"acc_norm": 0.3055555555555556,
"acc_norm_stderr": 0.03852084696008534
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.19,
"acc_stderr": 0.03942772444036623,
"acc_norm": 0.19,
"acc_norm_stderr": 0.03942772444036623
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.32947976878612717,
"acc_stderr": 0.03583901754736411,
"acc_norm": 0.32947976878612717,
"acc_norm_stderr": 0.03583901754736411
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.35294117647058826,
"acc_stderr": 0.04755129616062949,
"acc_norm": 0.35294117647058826,
"acc_norm_stderr": 0.04755129616062949
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.22,
"acc_stderr": 0.041633319989322716,
"acc_norm": 0.22,
"acc_norm_stderr": 0.041633319989322716
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.17446808510638298,
"acc_stderr": 0.024809442335503976,
"acc_norm": 0.17446808510638298,
"acc_norm_stderr": 0.024809442335503976
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.0414243971948936,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.0414243971948936
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.2689655172413793,
"acc_stderr": 0.036951833116502325,
"acc_norm": 0.2689655172413793,
"acc_norm_stderr": 0.036951833116502325
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2566137566137566,
"acc_stderr": 0.022494510767503154,
"acc_norm": 0.2566137566137566,
"acc_norm_stderr": 0.022494510767503154
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.21428571428571427,
"acc_stderr": 0.03670066451047182,
"acc_norm": 0.21428571428571427,
"acc_norm_stderr": 0.03670066451047182
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768079,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768079
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.27419354838709675,
"acc_stderr": 0.025378139970885193,
"acc_norm": 0.27419354838709675,
"acc_norm_stderr": 0.025378139970885193
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.30049261083743845,
"acc_stderr": 0.032257994762334846,
"acc_norm": 0.30049261083743845,
"acc_norm_stderr": 0.032257994762334846
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.26,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.26,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.21212121212121213,
"acc_stderr": 0.03192271569548298,
"acc_norm": 0.21212121212121213,
"acc_norm_stderr": 0.03192271569548298
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.30303030303030304,
"acc_stderr": 0.03274287914026867,
"acc_norm": 0.30303030303030304,
"acc_norm_stderr": 0.03274287914026867
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.3471502590673575,
"acc_stderr": 0.034356961683613546,
"acc_norm": 0.3471502590673575,
"acc_norm_stderr": 0.034356961683613546
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.3435897435897436,
"acc_stderr": 0.02407869658063547,
"acc_norm": 0.3435897435897436,
"acc_norm_stderr": 0.02407869658063547
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.02646611753895991,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.02646611753895991
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.2773109243697479,
"acc_stderr": 0.02907937453948001,
"acc_norm": 0.2773109243697479,
"acc_norm_stderr": 0.02907937453948001
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.304635761589404,
"acc_stderr": 0.03757949922943343,
"acc_norm": 0.304635761589404,
"acc_norm_stderr": 0.03757949922943343
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.30825688073394497,
"acc_stderr": 0.019798366698367275,
"acc_norm": 0.30825688073394497,
"acc_norm_stderr": 0.019798366698367275
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.375,
"acc_stderr": 0.033016908987210894,
"acc_norm": 0.375,
"acc_norm_stderr": 0.033016908987210894
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.22058823529411764,
"acc_stderr": 0.029102254389674096,
"acc_norm": 0.22058823529411764,
"acc_norm_stderr": 0.029102254389674096
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.22784810126582278,
"acc_stderr": 0.0273034845990694,
"acc_norm": 0.22784810126582278,
"acc_norm_stderr": 0.0273034845990694
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.2062780269058296,
"acc_stderr": 0.02715715047956382,
"acc_norm": 0.2062780269058296,
"acc_norm_stderr": 0.02715715047956382
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.2366412213740458,
"acc_stderr": 0.03727673575596917,
"acc_norm": 0.2366412213740458,
"acc_norm_stderr": 0.03727673575596917
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.2644628099173554,
"acc_stderr": 0.04026187527591207,
"acc_norm": 0.2644628099173554,
"acc_norm_stderr": 0.04026187527591207
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.21296296296296297,
"acc_stderr": 0.03957835471980979,
"acc_norm": 0.21296296296296297,
"acc_norm_stderr": 0.03957835471980979
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.25766871165644173,
"acc_stderr": 0.03436150827846917,
"acc_norm": 0.25766871165644173,
"acc_norm_stderr": 0.03436150827846917
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.22321428571428573,
"acc_stderr": 0.03952301967702511,
"acc_norm": 0.22321428571428573,
"acc_norm_stderr": 0.03952301967702511
},
"harness|hendrycksTest-management|5": {
"acc": 0.3786407766990291,
"acc_stderr": 0.04802694698258972,
"acc_norm": 0.3786407766990291,
"acc_norm_stderr": 0.04802694698258972
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.3034188034188034,
"acc_stderr": 0.030118210106942662,
"acc_norm": 0.3034188034188034,
"acc_norm_stderr": 0.030118210106942662
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.29,
"acc_stderr": 0.04560480215720685,
"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720685
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.2247765006385696,
"acc_stderr": 0.014927447101937169,
"acc_norm": 0.2247765006385696,
"acc_norm_stderr": 0.014927447101937169
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.2138728323699422,
"acc_stderr": 0.022075709251757177,
"acc_norm": 0.2138728323699422,
"acc_norm_stderr": 0.022075709251757177
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.23687150837988827,
"acc_stderr": 0.01421957078810399,
"acc_norm": 0.23687150837988827,
"acc_norm_stderr": 0.01421957078810399
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.26143790849673204,
"acc_stderr": 0.025160998214292456,
"acc_norm": 0.26143790849673204,
"acc_norm_stderr": 0.025160998214292456
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.2540192926045016,
"acc_stderr": 0.024723861504771696,
"acc_norm": 0.2540192926045016,
"acc_norm_stderr": 0.024723861504771696
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.21604938271604937,
"acc_stderr": 0.022899162918445806,
"acc_norm": 0.21604938271604937,
"acc_norm_stderr": 0.022899162918445806
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.26595744680851063,
"acc_stderr": 0.02635806569888059,
"acc_norm": 0.26595744680851063,
"acc_norm_stderr": 0.02635806569888059
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.23663624511082137,
"acc_stderr": 0.010855137351572732,
"acc_norm": 0.23663624511082137,
"acc_norm_stderr": 0.010855137351572732
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.41544117647058826,
"acc_stderr": 0.029935342707877746,
"acc_norm": 0.41544117647058826,
"acc_norm_stderr": 0.029935342707877746
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.26143790849673204,
"acc_stderr": 0.017776947157528047,
"acc_norm": 0.26143790849673204,
"acc_norm_stderr": 0.017776947157528047
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.20909090909090908,
"acc_stderr": 0.038950910157241364,
"acc_norm": 0.20909090909090908,
"acc_norm_stderr": 0.038950910157241364
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.2530612244897959,
"acc_stderr": 0.027833023871399697,
"acc_norm": 0.2530612244897959,
"acc_norm_stderr": 0.027833023871399697
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.2736318407960199,
"acc_stderr": 0.031524391865554044,
"acc_norm": 0.2736318407960199,
"acc_norm_stderr": 0.031524391865554044
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.19,
"acc_stderr": 0.039427724440366234,
"acc_norm": 0.19,
"acc_norm_stderr": 0.039427724440366234
},
"harness|hendrycksTest-virology|5": {
"acc": 0.21084337349397592,
"acc_stderr": 0.03175554786629919,
"acc_norm": 0.21084337349397592,
"acc_norm_stderr": 0.03175554786629919
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.2046783625730994,
"acc_stderr": 0.03094445977853321,
"acc_norm": 0.2046783625730994,
"acc_norm_stderr": 0.03094445977853321
},
"harness|truthfulqa:mc|0": {
"mc1": 0.2386780905752754,
"mc1_stderr": 0.014922629695456418,
"mc2": 0.3646013754071996,
"mc2_stderr": 0.014251642555151921
},
"harness|winogrande|5": {
"acc": 0.5927387529597474,
"acc_stderr": 0.013808654122417847
},
"harness|gsm8k|5": {
"acc": 0.0,
"acc_stderr": 0.0
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
dmayhem93/self-critiquing-critique-answer-ranking-test | ---
dataset_info:
features:
- name: id
dtype: string
- name: source_id
dtype: string
- name: split
dtype: string
- name: time
dtype: float64
- name: labeler
dtype: string
- name: is_topic_based_summarization
dtype: bool
- name: prompt
dtype: string
- name: answers
list:
- name: answer
dtype: string
- name: feedback
struct:
- name: corroborations
list:
- name: text
dtype: string
- name: critiques
list:
- name: category
dtype: string
- name: category_text
dtype: string
- name: refinement
dtype: string
- name: response_quotes
list:
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- name: end
dtype: int64
- name: severity
dtype: int64
- name: text
dtype: string
- name: text_quotes
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dtype: int64
- name: rating
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dtype: bool
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dtype: bool
- name: rankings
sequence: int64
splits:
- name: train
num_bytes: 14668454
num_examples: 2348
download_size: 4123167
dataset_size: 14668454
---
# Dataset Card for "self-critiquing-critique-answer-ranking-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
RVCjurgen/JurgenKlopp | ---
license: bigscience-openrail-m
---
|
polinaeterna/yat | ---
dataset_info:
features:
- name: blob_id
dtype: string
- name: directory_id
dtype: string
- name: path
dtype: string
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dtype: string
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configs:
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data_files:
- split: train
path: data/train-*
---
|
cedr | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- ru
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- multi-label-classification
pretty_name: The Corpus for Emotions Detecting in Russian-language text sentences
(CEDR)
tags:
- emotion-classification
dataset_info:
- config_name: enriched
features:
- name: text
dtype: string
- name: labels
sequence:
class_label:
names:
'0': joy
'1': sadness
'2': surprise
'3': fear
'4': anger
- name: source
dtype: string
- name: sentences
list:
list:
- name: forma
dtype: string
- name: lemma
dtype: string
splits:
- name: train
num_bytes: 4792338
num_examples: 7528
- name: test
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- config_name: main
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dtype: string
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'0': joy
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num_examples: 1882
download_size: 945328
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configs:
- config_name: enriched
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- split: train
path: enriched/train-*
- split: test
path: enriched/test-*
- config_name: main
data_files:
- split: train
path: main/train-*
- split: test
path: main/test-*
default: true
---
# Dataset Card for [cedr]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [GitHub](https://github.com/sag111/CEDR)
- **Repository:** [GitHub](https://github.com/sag111/CEDR)
- **Paper:** [ScienceDirect](https://www.sciencedirect.com/science/article/pii/S1877050921013247)
- **Leaderboard:**
- **Point of Contact:** [@sag111](mailto:sag111@mail.ru)
### Dataset Summary
The Corpus for Emotions Detecting in Russian-language text sentences of different social sources (CEDR) contains 9410 comments labeled for 5 emotion categories (joy, sadness, surprise, fear, and anger).
Here are 2 dataset configurations:
- "main" - contains "text", "labels", and "source" features;
- "enriched" - includes all "main" features and "sentences".
Dataset with predefined train/test splits.
### Supported Tasks and Leaderboards
This dataset is intended for multi-label emotion classification.
### Languages
The data is in Russian.
## Dataset Structure
### Data Instances
Each instance is a text sentence in Russian from several sources with one or more emotion annotations (or no emotion at all).
An example for an instance from the dataset is shown below:
```
{
'text': 'Забавно как люди в возрасте удивляются входящим звонкам на мобильник)',
'labels': [0],
'source': 'twitter',
'sentences': [
[
{'forma': 'Забавно', 'lemma': 'Забавно'},
{'forma': 'как', 'lemma': 'как'},
{'forma': 'люди', 'lemma': 'человек'},
{'forma': 'в', 'lemma': 'в'},
{'forma': 'возрасте', 'lemma': 'возраст'},
{'forma': 'удивляются', 'lemma': 'удивляться'},
{'forma': 'входящим', 'lemma': 'входить'},
{'forma': 'звонкам', 'lemma': 'звонок'},
{'forma': 'на', 'lemma': 'на'},
{'forma': 'мобильник', 'lemma': 'мобильник'},
{'forma': ')', 'lemma': ')'}
]
]
}
```
Emotion label codes: {0: "joy", 1: "sadness", 2: "surprise", 3: "fear", 4: "anger"}
### Data Fields
The main configuration includes:
- text: the text of the sentence;
- labels: the emotion annotations;
- source: the tag name of the corresponding source
In addition to the above, the raw data includes:
- sentences: text tokenized and lemmatized with [udpipe](https://ufal.mff.cuni.cz/udpipe)
- 'forma': the original word form;
- 'lemma': the lemma of this word
### Data Splits
The dataset includes a set of train/test splits.
with 7528, and 1882 examples respectively.
## Dataset Creation
### Curation Rationale
The formed dataset of examples consists of sentences in Russian from several sources (blogs, microblogs, news), which allows creating methods to analyse various types of texts. The created methodology for building the dataset based on applying a crowdsourcing service can be used to expand the number of examples to improve the accuracy of supervised classifiers.
### Source Data
#### Initial Data Collection and Normalization
Data was collected from several sources: posts of the Live Journal social network, texts of the online news agency Lenta.ru, and Twitter microblog posts.
Only those sentences were selected that contained marker words from the dictionary of [the emotive vocabulary of the Russian language](http://lexrus.ru/default.aspx?p=2876). The authors manually formed a list of marker words for each emotion by choosing words from different categories of the dictionary.
In total, 3069 sentences were selected from LiveJournal posts, 2851 sentences from Lenta.Ru, and 3490 sentencesfrom Twitter. After selection, sentences were offered to annotators for labeling.
#### Who are the source language producers?
Russian-speaking LiveJournal and Tweeter users, and authors of news articles on the site lenta.ru.
### Annotations
#### Annotation process
Annotating sentences with labels of their emotions was performed with the help of [a crowdsourcing platform](https://yandex.ru/support/toloka/index.html?lang=en).
The annotators’ task was: “What emotions did the author express in the sentence?”. The annotators were allowed to put an arbitrary number of the following emotion labels: "joy", "sadness", "anger", "fear", and "surprise".
If the accuracy of an annotator on the control sentences (including the trial run) became less than 70%, or if the accuracy was less than 66% over the last six control samples, the annotator was dismissed.
Sentences were split into tasks and assigned to annotators so that each sentence was annotated at least three times. A label of a specific emotion was assigned to a sentence if put by more than half of the annotators.
#### Who are the annotators?
Only those of the 30% of the best-performing active users (by the platform’s internal rating) who spoke Russian and were over 18 years old were allowed into the annotation process. Moreover, before a platform user could be employed as an annotator, they underwent a training task, after which they were to mark 25 trial samples with more than 80% agreement compared to the annotation that the authors had performed themselves.
### Personal and Sensitive Information
The text of the sentences may contain profanity.
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
Researchers at AI technology lab at NRC "Kurchatov Institute". See the author [list](https://www.sciencedirect.com/science/article/pii/S1877050921013247).
### Licensing Information
The GitHub repository which houses this dataset has an Apache License 2.0.
### Citation Information
If you have found our results helpful in your work, feel free to cite our publication. This is an updated version of the dataset, the collection and preparation of which is described here:
```
@article{sboev2021data,
title={Data-Driven Model for Emotion Detection in Russian Texts},
author={Sboev, Alexander and Naumov, Aleksandr and Rybka, Roman},
journal={Procedia Computer Science},
volume={190},
pages={637--642},
year={2021},
publisher={Elsevier}
}
```
### Contributions
Thanks to [@naumov-al](https://github.com/naumov-al) for adding this dataset. |
KaioSan/Lute-cantando | ---
license: openrail
---
|
dinhanhx/TextCaps-vi | ---
language:
- vi
- en
pretty_name: TextCaps in Vietnamese
source-datasets:
- TextCaps
- OpenImages
tags:
- TextCaps
- TextCaps-vi
license: unknown
task_categories:
- image-to-text
task_ids:
- image-captioning
---
# TextCaps in Vietnamese
This is Vietnamese version of [TextCaps dataset](https://textvqa.org/textcaps/). It has 109765 image-caption pairs for training, and 15830 ones for validation. It was built by using Google Translate API. The Vietnamese version has the almost metadata as English one. The Vietnamese version doesn't have the following keys for each data points.
- `caption_tokens`
- `reference_tokens`
- `reference_strs`
- `image_classes`
For English version, these keys are in English. Because my main focus is `caption_str`, there aren't Vietnamese version for them. I'm limited by time and disk space.
I provide both English and Vietnamese .json files. |
techandy42/CrafterGPT-Training-Dataset-Subset | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 5163961
num_examples: 948
download_size: 431677
dataset_size: 5163961
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
arieg/cluster16_large_150 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
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'112': '149712'
'113': '150266'
splits:
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num_bytes: 932294770.7
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download_size: 912242614
dataset_size: 932294770.7
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
notwiu/kaiokaio | ---
license: openrail
---
|
lctzz540/bunbo | ---
license: mit
---
|
Li-Tang/demo | ---
license: apache-2.0
---
|
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_181 | ---
dataset_info:
features:
- name: logits
sequence: float32
- name: mfcc
sequence:
sequence: float64
splits:
- name: train
num_bytes: 1048885804.0
num_examples: 205987
download_size: 1071457846
dataset_size: 1048885804.0
---
# Dataset Card for "chunk_181"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
AdapterOcean/Open_Platypus_standardized_cluster_2_alpaca | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 5719356
num_examples: 5147
download_size: 0
dataset_size: 5719356
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Open_Platypus_standardized_cluster_2_alpaca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
hippocrates/CitationGPTv2_test | ---
dataset_info:
features:
- name: id
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: choices
sequence: string
- name: gold
dtype: int64
splits:
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num_bytes: 23117061
num_examples: 11780
- name: valid
num_bytes: 23117061
num_examples: 11780
- name: test
num_bytes: 23117061
num_examples: 11780
download_size: 27559185
dataset_size: 69351183
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
---
|
satpalsr/indicCorpv2 | ---
license: cc0-1.0
language:
- as
- brx
- bn
- doi
- en
- gom
- gu
- hi
- kha
- kn
- ks
- mai
- ml
- mni
- mr
- ne
- or
- pa
- sa
- sat
- sd
- ta
- te
- ur
task_categories:
- text-generation
---
# IndicCorpv2
[Github](https://github.com/AI4Bharat/IndicBERT) | [Paper](https://arxiv.org/abs/2212.05409)
Languages: 24
The largest collection of texts for Indic languages consisting of 20.9 billion tokens of which 14.4B tokens correspond to 23 Indic languages and 6.5B tokens of Indian English content curated from Indian websites.
<img src="https://huggingface.co/datasets/satpalsr/indicCorpv2/resolve/main/languages.png">
## Citation
```
@article{Doddapaneni2022towards,
title={Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages},
author={Sumanth Doddapaneni and Rahul Aralikatte and Gowtham Ramesh and Shreyansh Goyal and Mitesh M. Khapra and Anoop Kunchukuttan and Pratyush Kumar},
journal={ArXiv},
year={2022},
volume={abs/2212.05409}
}
``` |
gsarti/itacola | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- it
license:
- unknown
multilinguality:
- monolingual
pretty_name: itacola
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- acceptability-classification
---
# Dataset Card for ItaCoLA
## Table of Contents
- [Dataset Card for ItaCoLA](#dataset-card-for-itacola)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Acceptability Classification](#acceptability-classification)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Scores Configuration](#scores-configuration)
- [Phenomena Configuration](#phenomena-configuration)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Repository:** [Github](https://github.com/dhfbk/ItaCoLA-dataset)
- **Paper:** [Arxiv](http://ceur-ws.org/Vol-2765/paper169.pdf)
- **Point of Contact:** [Daniela Trotta](dtrotta@unisa.it)
### Dataset Summary
The Italian Corpus of Linguistic Acceptability includes almost 10k sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by the English [Corpus of Linguistic Acceptability](https://nyu-mll.github.io/CoLA/).
**Disclaimer**: *The ItaCoLA corpus is hosted on Github by the [Digital Humanities group at FBK](https://dh.fbk.eu/)*. It was introduced in the article [Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus](https://arxiv.org/abs/2109.12053) by [Daniela Trotta](https://dh.fbk.eu/author/daniela/), [Raffaele Guarasci](https://www.icar.cnr.it/persone/guarasci/), [Elisa Leonardelli](https://dh.fbk.eu/author/elisa/), [Sara Tonelli](https://dh.fbk.eu/author/sara/)
### Supported Tasks and Leaderboards
#### Acceptability Classification
The following table is taken from Table 4 of the original paper, where an LSTM and a BERT model pretrained on the Italian languages are fine-tuned on the `train` split of the corpus and evaluated respectively on the `test` split (*In-domain*, `in`) and on the acceptability portion of the [AcCompl-it] corpus (*Out-of-domain*, `out`). Models are evaluated with accuracy (*Acc.*) and Matthews Correlation Coefficient (*MCC*) in both settings. Results are averaged over 10 runs with ±stdev. error bounds.
| | `in`, Acc.| `in`, MCC| `out`, Acc.|`out`, MCC|
|---------:|-----------:|----------:|-----------:|---------:|
|`LSTM` | 0.794 | 0.278 ± 0.029 | 0.605 | 0.147 ± 0.066 |
|`ITA-BERT`| 0.904 | 0.603 ± 0.022 | 0.683 | 0.198 ± 0.036 |
### Languages
The language data in ItaCoLA is in Italian (BCP-47 `it`)
## Dataset Structure
### Data Instances
#### Scores Configuration
The `scores` configuration contains sentences with acceptability judgments. An example from the `train` split of the `scores` config (default) is provided below.
```json
{
"unique_id": 1,
"source": "Graffi_1994",
"acceptability": 1,
"sentence": "Quest'uomo mi ha colpito."
}
```
The text is provided as-is, without further preprocessing or tokenization.
The fields are the following:
- `unique_id`: Unique identifier for the sentence across configurations.
- `source`: Original source for the sentence.
- `acceptability`: Binary score, 1 = acceptable, 0 = not acceptable.
- `sentence`: The evaluated sentence.
#### Phenomena Configuration
The `phenomena` configuration contains a sample of sentences from `scores` that has been manually annotated to denote the presence of 9 linguistic phenomena. An example from the `train` split is provided below:
```json
{
"unique_id": 1,
"source": "Graffi_1994",
"acceptability": 1,
"sentence": "Quest'uomo mi ha colpito.",
"cleft_construction": 0,
"copular_construction": 0,
"subject_verb_agreement": 1,
"wh_islands_violations": 0,
"simple": 0,
"question": 0,
"auxiliary": 1,
"bind": 0,
"indefinite_pronouns": 0
}
```
For each one of the new fields, the value of the binary score denotes the presence (1) or the absence (0) of the respective phenomenon. Refer to the original paper for a detailed description of each phenomenon.
### Data Splits
| config| train| test|
|----------:|-----:|----:|
|`scores` | 7801 | 975 |
|`phenomena`| 2088 | - |
### Dataset Creation
Please refer to the original article [Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus](https://arxiv.org/abs/2109.12053) for additional information on dataset creation.
## Additional Information
### Dataset Curators
The authors are the curators of the original dataset. For problems or updates on this 🤗 Datasets version, please contact [gabriele.sarti996@gmail.com](mailto:gabriele.sarti996@gmail.com).
### Licensing Information
No licensing information available.
### Citation Information
Please cite the authors if you use these corpora in your work:
```bibtex
@inproceedings{trotta-etal-2021-monolingual-cross,
title = "Monolingual and Cross-Lingual Acceptability Judgments with the {I}talian {C}o{LA} corpus",
author = "Trotta, Daniela and
Guarasci, Raffaele and
Leonardelli, Elisa and
Tonelli, Sara",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-emnlp.250",
doi = "10.18653/v1/2021.findings-emnlp.250",
pages = "2929--2940"
}
```
|
HuggingFaceM4/QBench_Modif | Invalid username or password. |
mask-distilled-one-sec-cv12/chunk_5 | ---
dataset_info:
features:
- name: logits
sequence: float32
- name: mfcc
sequence:
sequence: float64
splits:
- name: train
num_bytes: 977154800
num_examples: 191900
download_size: 992947607
dataset_size: 977154800
---
# Dataset Card for "chunk_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
OpenGVLab/Region-Evaluation-Data | ---
license: apache-2.0
---
This repository presents the evaluation data used for [ASMv2](https://github.com/OpenGVLab/all-seeing/tree/main/all-seeing-v2). Please refer to [this document](https://github.com/OpenGVLab/all-seeing/tree/main/all-seeing-v2#testing) for more details about the repository.
|
Langame/conversation-starters-moderated | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: topics
sequence: string
splits:
- name: train
num_bytes: 2049719
num_examples: 16507
download_size: 955187
dataset_size: 2049719
---
# Dataset Card for "conversation-starters-moderated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dataset of ~17.000 rows filtered with OpenAI moderation API |
Shivagopi/Shiva-2.0 | ---
license: apache-2.0
---
|
TinyPixel/oasst1-standard | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 9367562
num_examples: 8274
download_size: 5117067
dataset_size: 9367562
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "oasst1-standard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
WilliamWen/combination_two | ---
license: apache-2.0
task_categories:
- token-classification
language:
- en
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
open-llm-leaderboard/details_cloudyu__mistral_11B_instruct_v0.1 | ---
pretty_name: Evaluation run of cloudyu/mistral_11B_instruct_v0.1
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [cloudyu/mistral_11B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_cloudyu__mistral_11B_instruct_v0.1\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-03-04T19:53:11.814507](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_11B_instruct_v0.1/blob/main/results_2024-03-04T19-53-11.814507.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5846956813152795,\n\
\ \"acc_stderr\": 0.03324659670781286,\n \"acc_norm\": 0.5910920316865859,\n\
\ \"acc_norm_stderr\": 0.033941630368699856,\n \"mc1\": 0.45165238678090575,\n\
\ \"mc1_stderr\": 0.017421480300277643,\n \"mc2\": 0.6364340103053324,\n\
\ \"mc2_stderr\": 0.015132634013081379\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.49829351535836175,\n \"acc_stderr\": 0.01461130570505699,\n\
\ \"acc_norm\": 0.537542662116041,\n \"acc_norm_stderr\": 0.014570144495075581\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5569607647878908,\n\
\ \"acc_stderr\": 0.004957296691391575,\n \"acc_norm\": 0.7463652658832902,\n\
\ \"acc_norm_stderr\": 0.004342017709967959\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \
\ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.6,\n \"\
acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \
\ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\
\ \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n \
\ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6415094339622641,\n \"acc_stderr\": 0.02951470358398176,\n\
\ \"acc_norm\": 0.6415094339622641,\n \"acc_norm_stderr\": 0.02951470358398176\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\
\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\
\ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.44,\n\
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6011560693641619,\n\
\ \"acc_stderr\": 0.037336266553835096,\n \"acc_norm\": 0.6011560693641619,\n\
\ \"acc_norm_stderr\": 0.037336266553835096\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383888,\n\
\ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383888\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.74,\n\
\ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5319148936170213,\n \"acc_stderr\": 0.03261936918467383,\n\
\ \"acc_norm\": 0.5319148936170213,\n \"acc_norm_stderr\": 0.03261936918467383\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.42105263157894735,\n\
\ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.42105263157894735,\n\
\ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\
\ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.3783068783068783,\n \"acc_stderr\": 0.024976954053155254,\n \"\
acc_norm\": 0.3783068783068783,\n \"acc_norm_stderr\": 0.024976954053155254\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.38095238095238093,\n\
\ \"acc_stderr\": 0.04343525428949097,\n \"acc_norm\": 0.38095238095238093,\n\
\ \"acc_norm_stderr\": 0.04343525428949097\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6516129032258065,\n\
\ \"acc_stderr\": 0.027104826328100937,\n \"acc_norm\": 0.6516129032258065,\n\
\ \"acc_norm_stderr\": 0.027104826328100937\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.4482758620689655,\n \"acc_stderr\": 0.03499113137676744,\n\
\ \"acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.03499113137676744\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\
: 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885416,\n\
\ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885416\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7222222222222222,\n \"acc_stderr\": 0.03191178226713549,\n \"\
acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.03191178226713549\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8393782383419689,\n \"acc_stderr\": 0.026499057701397443,\n\
\ \"acc_norm\": 0.8393782383419689,\n \"acc_norm_stderr\": 0.026499057701397443\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5384615384615384,\n \"acc_stderr\": 0.025275892070240648,\n\
\ \"acc_norm\": 0.5384615384615384,\n \"acc_norm_stderr\": 0.025275892070240648\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3037037037037037,\n \"acc_stderr\": 0.02803792996911499,\n \
\ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.02803792996911499\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n \
\ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7853211009174312,\n \"acc_stderr\": 0.01760430414925648,\n \"\
acc_norm\": 0.7853211009174312,\n \"acc_norm_stderr\": 0.01760430414925648\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4212962962962963,\n \"acc_stderr\": 0.03367462138896078,\n \"\
acc_norm\": 0.4212962962962963,\n \"acc_norm_stderr\": 0.03367462138896078\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\
acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \
\ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6502242152466368,\n\
\ \"acc_stderr\": 0.03200736719484503,\n \"acc_norm\": 0.6502242152466368,\n\
\ \"acc_norm_stderr\": 0.03200736719484503\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467766,\n\
\ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467766\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\
acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\
\ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\
\ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\
\ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\
\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\
\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690879,\n\
\ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690879\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\
\ \"acc_stderr\": 0.02390232554956039,\n \"acc_norm\": 0.8418803418803419,\n\
\ \"acc_norm_stderr\": 0.02390232554956039\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7675606641123882,\n\
\ \"acc_stderr\": 0.015104550008905714,\n \"acc_norm\": 0.7675606641123882,\n\
\ \"acc_norm_stderr\": 0.015104550008905714\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6416184971098265,\n \"acc_stderr\": 0.02581675679158419,\n\
\ \"acc_norm\": 0.6416184971098265,\n \"acc_norm_stderr\": 0.02581675679158419\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2837988826815642,\n\
\ \"acc_stderr\": 0.01507835897075176,\n \"acc_norm\": 0.2837988826815642,\n\
\ \"acc_norm_stderr\": 0.01507835897075176\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6405228758169934,\n \"acc_stderr\": 0.027475969910660952,\n\
\ \"acc_norm\": 0.6405228758169934,\n \"acc_norm_stderr\": 0.027475969910660952\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6816720257234726,\n\
\ \"acc_stderr\": 0.026457225067811025,\n \"acc_norm\": 0.6816720257234726,\n\
\ \"acc_norm_stderr\": 0.026457225067811025\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6481481481481481,\n \"acc_stderr\": 0.026571483480719964,\n\
\ \"acc_norm\": 0.6481481481481481,\n \"acc_norm_stderr\": 0.026571483480719964\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.45390070921985815,\n \"acc_stderr\": 0.02970045324729147,\n \
\ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.02970045324729147\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4132985658409387,\n\
\ \"acc_stderr\": 0.012576779494860085,\n \"acc_norm\": 0.4132985658409387,\n\
\ \"acc_norm_stderr\": 0.012576779494860085\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6102941176470589,\n \"acc_stderr\": 0.0296246635811597,\n\
\ \"acc_norm\": 0.6102941176470589,\n \"acc_norm_stderr\": 0.0296246635811597\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5996732026143791,\n \"acc_stderr\": 0.019821843688271765,\n \
\ \"acc_norm\": 0.5996732026143791,\n \"acc_norm_stderr\": 0.019821843688271765\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\
\ \"acc_stderr\": 0.04525393596302505,\n \"acc_norm\": 0.6636363636363637,\n\
\ \"acc_norm_stderr\": 0.04525393596302505\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.6775510204081633,\n \"acc_stderr\": 0.029923100563683906,\n\
\ \"acc_norm\": 0.6775510204081633,\n \"acc_norm_stderr\": 0.029923100563683906\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6865671641791045,\n\
\ \"acc_stderr\": 0.032801882053486435,\n \"acc_norm\": 0.6865671641791045,\n\
\ \"acc_norm_stderr\": 0.032801882053486435\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.03861229196653694,\n \
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.03861229196653694\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\
\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.02917088550072767,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.02917088550072767\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.45165238678090575,\n\
\ \"mc1_stderr\": 0.017421480300277643,\n \"mc2\": 0.6364340103053324,\n\
\ \"mc2_stderr\": 0.015132634013081379\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7355958958168903,\n \"acc_stderr\": 0.012394724896983794\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2850644427596664,\n \
\ \"acc_stderr\": 0.012435042334904\n }\n}\n```"
repo_url: https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|arc:challenge|25_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|gsm8k|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hellaswag|10_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-04T19-53-11.814507.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-04T19-53-11.814507.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- '**/details_harness|winogrande|5_2024-03-04T19-53-11.814507.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-03-04T19-53-11.814507.parquet'
- config_name: results
data_files:
- split: 2024_03_04T19_53_11.814507
path:
- results_2024-03-04T19-53-11.814507.parquet
- split: latest
path:
- results_2024-03-04T19-53-11.814507.parquet
---
# Dataset Card for Evaluation run of cloudyu/mistral_11B_instruct_v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [cloudyu/mistral_11B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_cloudyu__mistral_11B_instruct_v0.1",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-03-04T19:53:11.814507](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_11B_instruct_v0.1/blob/main/results_2024-03-04T19-53-11.814507.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.5846956813152795,
"acc_stderr": 0.03324659670781286,
"acc_norm": 0.5910920316865859,
"acc_norm_stderr": 0.033941630368699856,
"mc1": 0.45165238678090575,
"mc1_stderr": 0.017421480300277643,
"mc2": 0.6364340103053324,
"mc2_stderr": 0.015132634013081379
},
"harness|arc:challenge|25": {
"acc": 0.49829351535836175,
"acc_stderr": 0.01461130570505699,
"acc_norm": 0.537542662116041,
"acc_norm_stderr": 0.014570144495075581
},
"harness|hellaswag|10": {
"acc": 0.5569607647878908,
"acc_stderr": 0.004957296691391575,
"acc_norm": 0.7463652658832902,
"acc_norm_stderr": 0.004342017709967959
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542128,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542128
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6,
"acc_stderr": 0.04232073695151589,
"acc_norm": 0.6,
"acc_norm_stderr": 0.04232073695151589
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.625,
"acc_stderr": 0.039397364351956274,
"acc_norm": 0.625,
"acc_norm_stderr": 0.039397364351956274
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620332
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6415094339622641,
"acc_stderr": 0.02951470358398176,
"acc_norm": 0.6415094339622641,
"acc_norm_stderr": 0.02951470358398176
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6944444444444444,
"acc_stderr": 0.03852084696008534,
"acc_norm": 0.6944444444444444,
"acc_norm_stderr": 0.03852084696008534
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.43,
"acc_stderr": 0.04975698519562428,
"acc_norm": 0.43,
"acc_norm_stderr": 0.04975698519562428
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.44,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6011560693641619,
"acc_stderr": 0.037336266553835096,
"acc_norm": 0.6011560693641619,
"acc_norm_stderr": 0.037336266553835096
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3431372549019608,
"acc_stderr": 0.04724007352383888,
"acc_norm": 0.3431372549019608,
"acc_norm_stderr": 0.04724007352383888
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.74,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.74,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5319148936170213,
"acc_stderr": 0.03261936918467383,
"acc_norm": 0.5319148936170213,
"acc_norm_stderr": 0.03261936918467383
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.42105263157894735,
"acc_stderr": 0.046446020912223177,
"acc_norm": 0.42105263157894735,
"acc_norm_stderr": 0.046446020912223177
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5241379310344828,
"acc_stderr": 0.0416180850350153,
"acc_norm": 0.5241379310344828,
"acc_norm_stderr": 0.0416180850350153
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.3783068783068783,
"acc_stderr": 0.024976954053155254,
"acc_norm": 0.3783068783068783,
"acc_norm_stderr": 0.024976954053155254
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.38095238095238093,
"acc_stderr": 0.04343525428949097,
"acc_norm": 0.38095238095238093,
"acc_norm_stderr": 0.04343525428949097
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.6516129032258065,
"acc_stderr": 0.027104826328100937,
"acc_norm": 0.6516129032258065,
"acc_norm_stderr": 0.027104826328100937
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.4482758620689655,
"acc_stderr": 0.03499113137676744,
"acc_norm": 0.4482758620689655,
"acc_norm_stderr": 0.03499113137676744
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.56,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.56,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7333333333333333,
"acc_stderr": 0.03453131801885416,
"acc_norm": 0.7333333333333333,
"acc_norm_stderr": 0.03453131801885416
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7222222222222222,
"acc_stderr": 0.03191178226713549,
"acc_norm": 0.7222222222222222,
"acc_norm_stderr": 0.03191178226713549
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8393782383419689,
"acc_stderr": 0.026499057701397443,
"acc_norm": 0.8393782383419689,
"acc_norm_stderr": 0.026499057701397443
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.5384615384615384,
"acc_stderr": 0.025275892070240648,
"acc_norm": 0.5384615384615384,
"acc_norm_stderr": 0.025275892070240648
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3037037037037037,
"acc_stderr": 0.02803792996911499,
"acc_norm": 0.3037037037037037,
"acc_norm_stderr": 0.02803792996911499
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6302521008403361,
"acc_stderr": 0.03135709599613591,
"acc_norm": 0.6302521008403361,
"acc_norm_stderr": 0.03135709599613591
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2582781456953642,
"acc_stderr": 0.035737053147634576,
"acc_norm": 0.2582781456953642,
"acc_norm_stderr": 0.035737053147634576
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.7853211009174312,
"acc_stderr": 0.01760430414925648,
"acc_norm": 0.7853211009174312,
"acc_norm_stderr": 0.01760430414925648
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.4212962962962963,
"acc_stderr": 0.03367462138896078,
"acc_norm": 0.4212962962962963,
"acc_norm_stderr": 0.03367462138896078
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7647058823529411,
"acc_stderr": 0.029771775228145628,
"acc_norm": 0.7647058823529411,
"acc_norm_stderr": 0.029771775228145628
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7510548523206751,
"acc_stderr": 0.028146970599422644,
"acc_norm": 0.7510548523206751,
"acc_norm_stderr": 0.028146970599422644
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6502242152466368,
"acc_stderr": 0.03200736719484503,
"acc_norm": 0.6502242152466368,
"acc_norm_stderr": 0.03200736719484503
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7099236641221374,
"acc_stderr": 0.03980066246467766,
"acc_norm": 0.7099236641221374,
"acc_norm_stderr": 0.03980066246467766
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7768595041322314,
"acc_stderr": 0.03800754475228732,
"acc_norm": 0.7768595041322314,
"acc_norm_stderr": 0.03800754475228732
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7314814814814815,
"acc_stderr": 0.042844679680521934,
"acc_norm": 0.7314814814814815,
"acc_norm_stderr": 0.042844679680521934
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.754601226993865,
"acc_stderr": 0.03380939813943354,
"acc_norm": 0.754601226993865,
"acc_norm_stderr": 0.03380939813943354
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.41964285714285715,
"acc_stderr": 0.04684099321077106,
"acc_norm": 0.41964285714285715,
"acc_norm_stderr": 0.04684099321077106
},
"harness|hendrycksTest-management|5": {
"acc": 0.7475728155339806,
"acc_stderr": 0.04301250399690879,
"acc_norm": 0.7475728155339806,
"acc_norm_stderr": 0.04301250399690879
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8418803418803419,
"acc_stderr": 0.02390232554956039,
"acc_norm": 0.8418803418803419,
"acc_norm_stderr": 0.02390232554956039
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.7,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.7,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.7675606641123882,
"acc_stderr": 0.015104550008905714,
"acc_norm": 0.7675606641123882,
"acc_norm_stderr": 0.015104550008905714
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.6416184971098265,
"acc_stderr": 0.02581675679158419,
"acc_norm": 0.6416184971098265,
"acc_norm_stderr": 0.02581675679158419
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.2837988826815642,
"acc_stderr": 0.01507835897075176,
"acc_norm": 0.2837988826815642,
"acc_norm_stderr": 0.01507835897075176
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.6405228758169934,
"acc_stderr": 0.027475969910660952,
"acc_norm": 0.6405228758169934,
"acc_norm_stderr": 0.027475969910660952
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.6816720257234726,
"acc_stderr": 0.026457225067811025,
"acc_norm": 0.6816720257234726,
"acc_norm_stderr": 0.026457225067811025
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.6481481481481481,
"acc_stderr": 0.026571483480719964,
"acc_norm": 0.6481481481481481,
"acc_norm_stderr": 0.026571483480719964
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.45390070921985815,
"acc_stderr": 0.02970045324729147,
"acc_norm": 0.45390070921985815,
"acc_norm_stderr": 0.02970045324729147
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.4132985658409387,
"acc_stderr": 0.012576779494860085,
"acc_norm": 0.4132985658409387,
"acc_norm_stderr": 0.012576779494860085
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6102941176470589,
"acc_stderr": 0.0296246635811597,
"acc_norm": 0.6102941176470589,
"acc_norm_stderr": 0.0296246635811597
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.5996732026143791,
"acc_stderr": 0.019821843688271765,
"acc_norm": 0.5996732026143791,
"acc_norm_stderr": 0.019821843688271765
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6636363636363637,
"acc_stderr": 0.04525393596302505,
"acc_norm": 0.6636363636363637,
"acc_norm_stderr": 0.04525393596302505
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.6775510204081633,
"acc_stderr": 0.029923100563683906,
"acc_norm": 0.6775510204081633,
"acc_norm_stderr": 0.029923100563683906
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.6865671641791045,
"acc_stderr": 0.032801882053486435,
"acc_norm": 0.6865671641791045,
"acc_norm_stderr": 0.032801882053486435
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.82,
"acc_stderr": 0.03861229196653694,
"acc_norm": 0.82,
"acc_norm_stderr": 0.03861229196653694
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5060240963855421,
"acc_stderr": 0.03892212195333045,
"acc_norm": 0.5060240963855421,
"acc_norm_stderr": 0.03892212195333045
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8245614035087719,
"acc_stderr": 0.02917088550072767,
"acc_norm": 0.8245614035087719,
"acc_norm_stderr": 0.02917088550072767
},
"harness|truthfulqa:mc|0": {
"mc1": 0.45165238678090575,
"mc1_stderr": 0.017421480300277643,
"mc2": 0.6364340103053324,
"mc2_stderr": 0.015132634013081379
},
"harness|winogrande|5": {
"acc": 0.7355958958168903,
"acc_stderr": 0.012394724896983794
},
"harness|gsm8k|5": {
"acc": 0.2850644427596664,
"acc_stderr": 0.012435042334904
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Contact
[More Information Needed] |
nlhappy/couplets | ---
license: mit
---
|
inumulaisk/getmmdocs | ---
license: openrail
---
|
KentoTsu/alan | ---
license: openrail
---
|
open-llm-leaderboard/details_Artples__L-MChat-7b | ---
pretty_name: Evaluation run of Artples/L-MChat-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Artples/L-MChat-7b](https://huggingface.co/Artples/L-MChat-7b) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Artples__L-MChat-7b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-04-03T13:34:19.743654](https://huggingface.co/datasets/open-llm-leaderboard/details_Artples__L-MChat-7b/blob/main/results_2024-04-03T13-34-19.743654.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6571971696799506,\n\
\ \"acc_stderr\": 0.03178923363596502,\n \"acc_norm\": 0.6576632411721116,\n\
\ \"acc_norm_stderr\": 0.03244266102878669,\n \"mc1\": 0.3525091799265606,\n\
\ \"mc1_stderr\": 0.016724646380756547,\n \"mc2\": 0.5094067597488999,\n\
\ \"mc2_stderr\": 0.015192002161600118\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6271331058020477,\n \"acc_stderr\": 0.01413117676013117,\n\
\ \"acc_norm\": 0.6561433447098977,\n \"acc_norm_stderr\": 0.013880644570156217\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6536546504680343,\n\
\ \"acc_stderr\": 0.00474832431971427,\n \"acc_norm\": 0.845947022505477,\n\
\ \"acc_norm_stderr\": 0.0036026174466413942\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\
\ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\
\ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137283,\n\
\ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137283\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\
\ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \
\ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.028049186315695255,\n\
\ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.028049186315695255\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7916666666666666,\n\
\ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.7916666666666666,\n\
\ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411018,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411018\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\
\ \"acc_stderr\": 0.03643037168958548,\n \"acc_norm\": 0.6473988439306358,\n\
\ \"acc_norm_stderr\": 0.03643037168958548\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.048108401480826346,\n\
\ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.048108401480826346\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.77,\n \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n\
\ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5702127659574469,\n \"acc_stderr\": 0.03236214467715564,\n\
\ \"acc_norm\": 0.5702127659574469,\n \"acc_norm_stderr\": 0.03236214467715564\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5175438596491229,\n\
\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.5175438596491229,\n\
\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.4074074074074074,\n \"acc_stderr\": 0.025305906241590632,\n \"\
acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.025305906241590632\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5238095238095238,\n\
\ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.5238095238095238,\n\
\ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542126,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542126\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8064516129032258,\n\
\ \"acc_stderr\": 0.022475258525536057,\n \"acc_norm\": 0.8064516129032258,\n\
\ \"acc_norm_stderr\": 0.022475258525536057\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\
\ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\
: 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\
\ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7828282828282829,\n \"acc_stderr\": 0.02937661648494563,\n \"\
acc_norm\": 0.7828282828282829,\n \"acc_norm_stderr\": 0.02937661648494563\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\
\ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6923076923076923,\n \"acc_stderr\": 0.023400928918310488,\n\
\ \"acc_norm\": 0.6923076923076923,\n \"acc_norm_stderr\": 0.023400928918310488\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3925925925925926,\n \"acc_stderr\": 0.02977384701253297,\n \
\ \"acc_norm\": 0.3925925925925926,\n \"acc_norm_stderr\": 0.02977384701253297\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887034,\n\
\ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887034\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8605504587155963,\n \"acc_stderr\": 0.014852421490033053,\n \"\
acc_norm\": 0.8605504587155963,\n \"acc_norm_stderr\": 0.014852421490033053\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5648148148148148,\n \"acc_stderr\": 0.03381200005643526,\n \"\
acc_norm\": 0.5648148148148148,\n \"acc_norm_stderr\": 0.03381200005643526\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8431372549019608,\n \"acc_stderr\": 0.02552472232455335,\n \"\
acc_norm\": 0.8431372549019608,\n \"acc_norm_stderr\": 0.02552472232455335\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8270042194092827,\n \"acc_stderr\": 0.024621562866768434,\n \
\ \"acc_norm\": 0.8270042194092827,\n \"acc_norm_stderr\": 0.024621562866768434\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7219730941704036,\n\
\ \"acc_stderr\": 0.030069584874494036,\n \"acc_norm\": 0.7219730941704036,\n\
\ \"acc_norm_stderr\": 0.030069584874494036\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313729,\n\
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313729\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7851239669421488,\n \"acc_stderr\": 0.03749492448709695,\n \"\
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.03749492448709695\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8148148148148148,\n\
\ \"acc_stderr\": 0.03755265865037181,\n \"acc_norm\": 0.8148148148148148,\n\
\ \"acc_norm_stderr\": 0.03755265865037181\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.803680981595092,\n \"acc_stderr\": 0.031207970394709225,\n\
\ \"acc_norm\": 0.803680981595092,\n \"acc_norm_stderr\": 0.031207970394709225\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\
\ \"acc_stderr\": 0.04733667890053755,\n \"acc_norm\": 0.4642857142857143,\n\
\ \"acc_norm_stderr\": 0.04733667890053755\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\
\ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\
\ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\
\ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \
\ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8301404853128991,\n\
\ \"acc_stderr\": 0.013428186370608315,\n \"acc_norm\": 0.8301404853128991,\n\
\ \"acc_norm_stderr\": 0.013428186370608315\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7485549132947977,\n \"acc_stderr\": 0.02335736578587403,\n\
\ \"acc_norm\": 0.7485549132947977,\n \"acc_norm_stderr\": 0.02335736578587403\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.31731843575418994,\n\
\ \"acc_stderr\": 0.015566392630057031,\n \"acc_norm\": 0.31731843575418994,\n\
\ \"acc_norm_stderr\": 0.015566392630057031\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\
\ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7234726688102894,\n\
\ \"acc_stderr\": 0.02540383297817961,\n \"acc_norm\": 0.7234726688102894,\n\
\ \"acc_norm_stderr\": 0.02540383297817961\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035454,\n\
\ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035454\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \
\ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.49869621903520206,\n\
\ \"acc_stderr\": 0.012770192691057112,\n \"acc_norm\": 0.49869621903520206,\n\
\ \"acc_norm_stderr\": 0.012770192691057112\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.7169117647058824,\n \"acc_stderr\": 0.027365861131513812,\n\
\ \"acc_norm\": 0.7169117647058824,\n \"acc_norm_stderr\": 0.027365861131513812\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.696078431372549,\n \"acc_stderr\": 0.018607552131279834,\n \
\ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.018607552131279834\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\
\ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\
\ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\
\ \"acc_norm_stderr\": 0.02587064676616913\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197768,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197768\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\
\ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\
\ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3525091799265606,\n\
\ \"mc1_stderr\": 0.016724646380756547,\n \"mc2\": 0.5094067597488999,\n\
\ \"mc2_stderr\": 0.015192002161600118\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.813733228097869,\n \"acc_stderr\": 0.01094187795567621\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6944655041698257,\n \
\ \"acc_stderr\": 0.012688134076726879\n }\n}\n```"
repo_url: https://huggingface.co/Artples/L-MChat-7b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|arc:challenge|25_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|gsm8k|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hellaswag|10_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-04-03T13-34-19.743654.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
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path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-management|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-virology|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|truthfulqa:mc|0_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-04-03T13-34-19.743654.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- '**/details_harness|winogrande|5_2024-04-03T13-34-19.743654.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-04-03T13-34-19.743654.parquet'
- config_name: results
data_files:
- split: 2024_04_03T13_34_19.743654
path:
- results_2024-04-03T13-34-19.743654.parquet
- split: latest
path:
- results_2024-04-03T13-34-19.743654.parquet
---
# Dataset Card for Evaluation run of Artples/L-MChat-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Artples/L-MChat-7b](https://huggingface.co/Artples/L-MChat-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Artples__L-MChat-7b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-04-03T13:34:19.743654](https://huggingface.co/datasets/open-llm-leaderboard/details_Artples__L-MChat-7b/blob/main/results_2024-04-03T13-34-19.743654.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6571971696799506,
"acc_stderr": 0.03178923363596502,
"acc_norm": 0.6576632411721116,
"acc_norm_stderr": 0.03244266102878669,
"mc1": 0.3525091799265606,
"mc1_stderr": 0.016724646380756547,
"mc2": 0.5094067597488999,
"mc2_stderr": 0.015192002161600118
},
"harness|arc:challenge|25": {
"acc": 0.6271331058020477,
"acc_stderr": 0.01413117676013117,
"acc_norm": 0.6561433447098977,
"acc_norm_stderr": 0.013880644570156217
},
"harness|hellaswag|10": {
"acc": 0.6536546504680343,
"acc_stderr": 0.00474832431971427,
"acc_norm": 0.845947022505477,
"acc_norm_stderr": 0.0036026174466413942
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6074074074074074,
"acc_stderr": 0.0421850621536888,
"acc_norm": 0.6074074074074074,
"acc_norm_stderr": 0.0421850621536888
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.7105263157894737,
"acc_stderr": 0.03690677986137283,
"acc_norm": 0.7105263157894737,
"acc_norm_stderr": 0.03690677986137283
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.62,
"acc_stderr": 0.048783173121456316,
"acc_norm": 0.62,
"acc_norm_stderr": 0.048783173121456316
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.7056603773584905,
"acc_stderr": 0.028049186315695255,
"acc_norm": 0.7056603773584905,
"acc_norm_stderr": 0.028049186315695255
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7916666666666666,
"acc_stderr": 0.033961162058453336,
"acc_norm": 0.7916666666666666,
"acc_norm_stderr": 0.033961162058453336
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.51,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.51,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.35,
"acc_stderr": 0.04793724854411018,
"acc_norm": 0.35,
"acc_norm_stderr": 0.04793724854411018
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6473988439306358,
"acc_stderr": 0.03643037168958548,
"acc_norm": 0.6473988439306358,
"acc_norm_stderr": 0.03643037168958548
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.37254901960784315,
"acc_stderr": 0.048108401480826346,
"acc_norm": 0.37254901960784315,
"acc_norm_stderr": 0.048108401480826346
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.77,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.77,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5702127659574469,
"acc_stderr": 0.03236214467715564,
"acc_norm": 0.5702127659574469,
"acc_norm_stderr": 0.03236214467715564
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5175438596491229,
"acc_stderr": 0.04700708033551038,
"acc_norm": 0.5175438596491229,
"acc_norm_stderr": 0.04700708033551038
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5724137931034483,
"acc_stderr": 0.041227371113703316,
"acc_norm": 0.5724137931034483,
"acc_norm_stderr": 0.041227371113703316
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.4074074074074074,
"acc_stderr": 0.025305906241590632,
"acc_norm": 0.4074074074074074,
"acc_norm_stderr": 0.025305906241590632
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.5238095238095238,
"acc_stderr": 0.04467062628403273,
"acc_norm": 0.5238095238095238,
"acc_norm_stderr": 0.04467062628403273
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542126,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542126
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.8064516129032258,
"acc_stderr": 0.022475258525536057,
"acc_norm": 0.8064516129032258,
"acc_norm_stderr": 0.022475258525536057
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5123152709359606,
"acc_stderr": 0.035169204442208966,
"acc_norm": 0.5123152709359606,
"acc_norm_stderr": 0.035169204442208966
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.71,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.71,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7878787878787878,
"acc_stderr": 0.03192271569548301,
"acc_norm": 0.7878787878787878,
"acc_norm_stderr": 0.03192271569548301
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7828282828282829,
"acc_stderr": 0.02937661648494563,
"acc_norm": 0.7828282828282829,
"acc_norm_stderr": 0.02937661648494563
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.9119170984455959,
"acc_stderr": 0.02045374660160103,
"acc_norm": 0.9119170984455959,
"acc_norm_stderr": 0.02045374660160103
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6923076923076923,
"acc_stderr": 0.023400928918310488,
"acc_norm": 0.6923076923076923,
"acc_norm_stderr": 0.023400928918310488
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3925925925925926,
"acc_stderr": 0.02977384701253297,
"acc_norm": 0.3925925925925926,
"acc_norm_stderr": 0.02977384701253297
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6932773109243697,
"acc_stderr": 0.029953823891887034,
"acc_norm": 0.6932773109243697,
"acc_norm_stderr": 0.029953823891887034
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.33774834437086093,
"acc_stderr": 0.03861557546255169,
"acc_norm": 0.33774834437086093,
"acc_norm_stderr": 0.03861557546255169
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8605504587155963,
"acc_stderr": 0.014852421490033053,
"acc_norm": 0.8605504587155963,
"acc_norm_stderr": 0.014852421490033053
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5648148148148148,
"acc_stderr": 0.03381200005643526,
"acc_norm": 0.5648148148148148,
"acc_norm_stderr": 0.03381200005643526
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.8431372549019608,
"acc_stderr": 0.02552472232455335,
"acc_norm": 0.8431372549019608,
"acc_norm_stderr": 0.02552472232455335
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.8270042194092827,
"acc_stderr": 0.024621562866768434,
"acc_norm": 0.8270042194092827,
"acc_norm_stderr": 0.024621562866768434
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.7219730941704036,
"acc_stderr": 0.030069584874494036,
"acc_norm": 0.7219730941704036,
"acc_norm_stderr": 0.030069584874494036
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7786259541984732,
"acc_stderr": 0.03641297081313729,
"acc_norm": 0.7786259541984732,
"acc_norm_stderr": 0.03641297081313729
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7851239669421488,
"acc_stderr": 0.03749492448709695,
"acc_norm": 0.7851239669421488,
"acc_norm_stderr": 0.03749492448709695
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.8148148148148148,
"acc_stderr": 0.03755265865037181,
"acc_norm": 0.8148148148148148,
"acc_norm_stderr": 0.03755265865037181
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.803680981595092,
"acc_stderr": 0.031207970394709225,
"acc_norm": 0.803680981595092,
"acc_norm_stderr": 0.031207970394709225
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.4642857142857143,
"acc_stderr": 0.04733667890053755,
"acc_norm": 0.4642857142857143,
"acc_norm_stderr": 0.04733667890053755
},
"harness|hendrycksTest-management|5": {
"acc": 0.8155339805825242,
"acc_stderr": 0.03840423627288276,
"acc_norm": 0.8155339805825242,
"acc_norm_stderr": 0.03840423627288276
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8846153846153846,
"acc_stderr": 0.02093019318517933,
"acc_norm": 0.8846153846153846,
"acc_norm_stderr": 0.02093019318517933
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.74,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.74,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8301404853128991,
"acc_stderr": 0.013428186370608315,
"acc_norm": 0.8301404853128991,
"acc_norm_stderr": 0.013428186370608315
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.7485549132947977,
"acc_stderr": 0.02335736578587403,
"acc_norm": 0.7485549132947977,
"acc_norm_stderr": 0.02335736578587403
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.31731843575418994,
"acc_stderr": 0.015566392630057031,
"acc_norm": 0.31731843575418994,
"acc_norm_stderr": 0.015566392630057031
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.7287581699346405,
"acc_stderr": 0.02545775669666788,
"acc_norm": 0.7287581699346405,
"acc_norm_stderr": 0.02545775669666788
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.7234726688102894,
"acc_stderr": 0.02540383297817961,
"acc_norm": 0.7234726688102894,
"acc_norm_stderr": 0.02540383297817961
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.7407407407407407,
"acc_stderr": 0.024383665531035454,
"acc_norm": 0.7407407407407407,
"acc_norm_stderr": 0.024383665531035454
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.49645390070921985,
"acc_stderr": 0.02982674915328092,
"acc_norm": 0.49645390070921985,
"acc_norm_stderr": 0.02982674915328092
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.49869621903520206,
"acc_stderr": 0.012770192691057112,
"acc_norm": 0.49869621903520206,
"acc_norm_stderr": 0.012770192691057112
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.7169117647058824,
"acc_stderr": 0.027365861131513812,
"acc_norm": 0.7169117647058824,
"acc_norm_stderr": 0.027365861131513812
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.696078431372549,
"acc_stderr": 0.018607552131279834,
"acc_norm": 0.696078431372549,
"acc_norm_stderr": 0.018607552131279834
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.6727272727272727,
"acc_stderr": 0.0449429086625209,
"acc_norm": 0.6727272727272727,
"acc_norm_stderr": 0.0449429086625209
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.7306122448979592,
"acc_stderr": 0.02840125202902294,
"acc_norm": 0.7306122448979592,
"acc_norm_stderr": 0.02840125202902294
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.8407960199004975,
"acc_stderr": 0.02587064676616913,
"acc_norm": 0.8407960199004975,
"acc_norm_stderr": 0.02587064676616913
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.86,
"acc_stderr": 0.03487350880197768,
"acc_norm": 0.86,
"acc_norm_stderr": 0.03487350880197768
},
"harness|hendrycksTest-virology|5": {
"acc": 0.536144578313253,
"acc_stderr": 0.038823108508905954,
"acc_norm": 0.536144578313253,
"acc_norm_stderr": 0.038823108508905954
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8245614035087719,
"acc_stderr": 0.029170885500727665,
"acc_norm": 0.8245614035087719,
"acc_norm_stderr": 0.029170885500727665
},
"harness|truthfulqa:mc|0": {
"mc1": 0.3525091799265606,
"mc1_stderr": 0.016724646380756547,
"mc2": 0.5094067597488999,
"mc2_stderr": 0.015192002161600118
},
"harness|winogrande|5": {
"acc": 0.813733228097869,
"acc_stderr": 0.01094187795567621
},
"harness|gsm8k|5": {
"acc": 0.6944655041698257,
"acc_stderr": 0.012688134076726879
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
linhqyy/aug_data_random | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: sentence
dtype: string
- name: intent
dtype: string
- name: sentence_annotation
dtype: string
- name: entities
list:
- name: type
dtype: string
- name: filler
dtype: string
splits:
- name: train
num_bytes: 4801788
num_examples: 16950
download_size: 1015835
dataset_size: 4801788
---
# Dataset Card for "aug_data_random"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
glacierscopessegmentation/scopes | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
- name: img_path
dtype: string
- name: mask_path
dtype: string
splits:
- name: test
num_bytes: 133809772.46884431
num_examples: 1848
- name: train
num_bytes: 2541585890.6731553
num_examples: 35101
download_size: 2648655351
dataset_size: 2675395663.1419997
---
# Dataset Card for "scopes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
gvlk/techdocqa | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 1846734.3
num_examples: 1260
- name: test
num_bytes: 205192.7
num_examples: 140
download_size: 698609
dataset_size: 2051927.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
Juniplayground/query_expansion_version2 | ---
dataset_info:
features:
- name: org_id
dtype: string
- name: context_extraxcted
dtype: string
- name: ambiguous_user_query
dtype: string
- name: Expanded_user_query
dtype: string
splits:
- name: train
num_bytes: 59278829
num_examples: 60156
download_size: 20356263
dataset_size: 59278829
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
HyaDoo/ko-voicephishing-binary-classification-ver2 | ---
license: apache-2.0
---
|
ESPEKTRO/moises | ---
license: openrail
---
|
zirui3/TSSB-3M-ext | ---
license: cc-by-4.0
---
extent the `TSSB-3M` dataset with more commit info(commit message、source code files...)
# sample
```python
{
"project": "ngraph",
"commit_sha": "1445e0684fbcca2ec49a5f1becf1345159b7ba6a",
"parent_sha": "4eb8eed57e506e8a2745b298340666e9d7e5ce58",
"file_path": "ngraph/op_graph/op_graph.py",
"project_url": "https://github.com/rsumner31/ngraph",
"likely_bug": true,
"comodified": false,
"in_function": true,
"diff": "@@ -787,7 +787,7 @@ def set_item(tensor, item, value):\n sl = slice(sl)\n start, end, step = sl.indices(l)\n if step <= 0:\n- raise ValueError('Invalid slice in item {}'.format(item))\n+ raise ValueError('Invalid slice (negative step) in item {}'.format(item))\n return assign(tensor_slice(tensor, item, axes=value.axes), value)\n \n \n",
"before": "raise ValueError ( 'Invalid slice in item {}' . format ( item ) )",
"after": "raise ValueError ( 'Invalid slice (negative step) in item {}' . format ( item ) )",
"sstub_pattern": "CHANGE_STRING_LITERAL",
"edit_script": "[[\"Update\", [\"string:'Invalid slice in item {}'\", 3, 30, 3, 56], \"'Invalid slice (negative step) in item {}'\"]]",
"key": "rsumner31/ngraph@1445e0684fbcca2ec49a5f1becf1345159b7ba6a",
"commit_message": "Better error description.",
"files": [
{
"sha": "52e76a0a5acb043db75592be1bdd09fc6fedf932",
"filename": "ngraph/op_graph/op_graph.py",
"status": "modified",
"additions": 1,
"deletions": 1,
"changes": 2,
"blob_url": "https://github.com/rsumner31/ngraph/blob/1445e0684fbcca2ec49a5f1becf1345159b7ba6a/ngraph%2Fop_graph%2Fop_graph.py",
"raw_url": "https://github.com/rsumner31/ngraph/raw/1445e0684fbcca2ec49a5f1becf1345159b7ba6a/ngraph%2Fop_graph%2Fop_graph.py",
"contents_url": "https://api.github.com/repos/rsumner31/ngraph/contents/ngraph%2Fop_graph%2Fop_graph.py?ref=1445e0684fbcca2ec49a5f1becf1345159b7ba6a",
"patch": "@@ -787,7 +787,7 @@ def set_item(tensor, item, value):\n sl = slice(sl)\n start, end, step = sl.indices(l)\n if step <= 0:\n- raise ValueError('Invalid slice in item {}'.format(item))\n+ raise ValueError('Invalid slice (negative step) in item {}'.format(item))\n return assign(tensor_slice(tensor, item, axes=value.axes), value)\n \n "
}
],
"find_commit": 1
}
```
# Reference
* [1]. Richter, Cedric, and Heike Wehrheim. "TSSB-3M: Mining single statement bugs at massive scale." Proceedings of the 19th International Conference on Mining Software Repositories. 2022 |
dumyy/TitleCC | ---
license: apache-2.0
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
splits:
- name: train
num_bytes: 6364154
num_examples: 1846
- name: test
num_bytes: 6381296
num_examples: 1500
download_size: 1320245
dataset_size: 12745450
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
HuggingFaceM4/SugarCrepe_add_obj | ---
dataset_info:
features:
- name: image
dtype: image
- name: tested_labels
sequence: string
- name: true_label
dtype:
class_label:
names:
'0': A woman and a small child watch a train as it passes.
'1': A camera and a microphone sit on a tripod connected to a laptop.
'2': A river flows in the background of a picture with a clock tower standing
above palm trees.
'3': A man with graying hair walks past a stand full of yellow bananas.
'4': a brown teddy bear sitting on a huge box
'5': 'A car is driving down the road near some road signs. '
'6': a woman in a blue top with headphones and two cellphones
'7': The black and white photograph of a classroom of schoolchildren is
a bit out of focus on the right side of the picture.
'8': A tall clock tower in a park with a group of people in the background.
'9': A group of young animals sitting next to each other.
'10': Some elephants walk together through the dense grass.
'11': A lady holding a cake with stars on it while a lady near her is making
gestures with her fingers.
'12': A man and a child are standing on a vehicle with two large wheels.
'13': An Air Force jet flying in a deep blue sky.
'14': a person is going up a snow covered mountain
'15': A young woman sitting on the bench resting.
'16': Two teddy bears sitting at a marbled table with honey.
'17': A black and gray dog sits curled in a flowered wing chair.
'18': Many bicycles parked in a parking lot with a lone car parked on the
street.
'19': A group of people that are sitting outside.
'20': A train with people inside has just emerged from a tunnel.
'21': A white with red striped bus drives down the slow lane on a freeway
surrounded by several other cars.
'22': Two sandwiches have been halved and placed on a plate with a knife.
'23': A man uses his computer on a park bench.
'24': The man is getting ready to hit the ball in the baseball game near
a hotdog stand.
'25': A man works on his laptop under the light of a lamp.
'26': a room showing a very big fridge and a dining table
'27': A man in a dull green hoodie holding a fuchsia umbrella.
'28': The bathroom is painted a light blue and has pink ceramic tile that
adorns the shower wall along with a maple color vanity and door.
'29': A soccer game where a girl in white is dribbling ahead of the girl
in green.
'30': Outside shot of a restroom showing the rusty door partially open.
'31': A view of a mother goat standing and a baby goat sitting in a field.
'32': A person is sitting on the floor of a bathroom.
'33': There is a banana, apple slices, and two pieces of cheese on a plate.
'34': A bowl of oatmeal topped with rice, spinach, and broccoli.
'35': Two brown and white dogs and a bird are running in a park.
'36': A yellow dump truck driving past a forest.
'37': A man and a child are taking swings at a tennis ball.
'38': A giraffe standing beside tall grass with trees.
'39': Several umbrellas in different styles can be seen with rain on them.
'40': A close up of a cooked savory omelette.
'41': A lime green room with older style furnishings and curtains.
'42': A metal blender and a glass vase on top of a stone counter.
'43': A young boy sleeping on stripped sheets.
'44': A group of people on skis and paragliders are at a peak of a mountain.
'45': A group of people walking across asphalt, dressed informally
'46': A woman reading a book about the topic fun.
'47': A picture of an animal is behind a pole and next to it is a yellow
taxi.
'48': The large photo shows a truck tilting a black and white cargo crate.
'49': A man attending an exposition about the past.
'50': A man and a dog sit on a bench with a church in the background.
'51': A woman standing on a bench near a statue, checking her phone.
'52': A girl dropping a tennis racket in a match.
'53': A pizza is shown with various toppings on it.
'54': A horse in a pasture of tall grass observing an energetic dog.
'55': A ham sandwich on a white plate with a kale garnish.
'56': Man looking at laptop playing video game in the dark
'57': Two young women are waxing two motorcycles with cloths.
'58': A man on a skateboard in the air coming onto stairs.
'59': A laughing small child is holding onto lawn decorations.
'60': people ride their motorcycles beside some cars, passing by an empty
street with stores and apartment buildings
'61': The man kisses the girl on the head as she laughs.
'62': THERE IS AN AIR PLANE THAT IS PARKED ON THE TARP
'63': A girl with a kite running in the grass.
'64': A plate of shredded chicken and carrots with a broccoli cheese sauce.
'65': People are getting off a helicopter on a rocky island.
'66': A bus parked to the side of a crowded road.
'67': A woman on a boogie board riding a wave with a dolphin.
'68': A group of people standing on a field flying a colorful kite and playing
with a beach ball.
'69': A brown medium sized dog stares into a window.
'70': A group of people that are standing near a tennis net.
'71': 'A man with a helmet on riding on an electrical skateboard. '
'72': A person skiing down a mountain in the snow.
'73': A black and brown large dog sits on an upholstered chair.
'74': A woman glares as other people behind her look on.
'75': Two gorillas are at a computer desk with a mouse.
'76': A kitchen with a table and four leather chairs.
'77': Here is Massachusettes candidate Scott Brown's campaign trailer.
'78': a little girl in a blue apron and chefs hat and a girl in a red apron
and hat
'79': A dairy cow and a sheep sticking their tongues out from inside their
stalls.
'80': A plate with two slices of pizza on it.
'81': A solo zebra stands in the grass.
'82': A tall clear glass window with two cats sitting at the base of it.
'83': A frog sitting in front of the water with a bear on the other side.
'84': An older woman riding a train beside its window.
'85': The small herd of sheep are sleeping on the grassy field.
'86': The room is crowded with many things including chairs, a bicycle,
and a table with cups on it.
'87': A large metal chair with a brown teddy bear in it.
'88': A large yellow and white bus on a road.
'89': A woman holding something out in her hand
'90': A couple and a dog that is posing for a picture.
'91': Several adults playing a game together outside with boats in the background.
'92': A cross with teddy bears tied to it and a flower next to it.
'93': THERE ARE WOMEN THAT ARE LAUGHING UNDER THE UMBRELLA
'94': A pizza with vegetables and cheese resting on a board.
'95': Two giraffes are standing together outside a barn near a pond.
'96': Street lights and a lit up street sign at an intersection.
'97': The yellow and white fire hydrant is embedded in the street.
'98': A couple of silver cars parked around a fountain.
'99': All of these men are talking on their cell phones.
'100': A brown medium sized dog stares out of a window.
'101': A batter getting ready to bat with the pitcher and umpire behind
him.
'102': A twin bed with a cat and laptop on top of it.
'103': People walking down a city sidewalk showing one with headphones.
'104': Spiky flowers neatly arranged in a clear vase filled with water.
'105': A piece of bread with a hot dog in the middle is shown.
'106': A vase full of sunflowers with a pitcher on an end table.
'107': A bunch of apples in a metal bowl.
'108': A solitary elephant is standing by a body of water.
'109': 'Elephants with large tusks, standing around behind a fence. '
'110': A lion standing in the middle of a lush green field.
'111': A white bathroom is shown with a blue towel.
'112': A male tennis player stands on court and prepares to hit the ball.
'113': A bus with lights on traveling on a road.
'114': An older man and a child are skiing down a snowy mountain.
'115': An old library with two windows with curtains.
'116': There is a teddy bear standing in the middle of a toy bathroom.
'117': A group of animals standing on top of a grass covered field.
'118': A red bench on a slanted floor has a Coca-Cola symbol and a flower
vase on it.
'119': A colorful public restroom with striped walls and yellow counter.
'120': A double-decker bus is parked in a large field.
'121': A few men eating an assortment of foods at a glass table.
'122': A yellow book with a black pen and a highlighter on it.
'123': A red two tier wedding cake is embellished with small flowers, on
a table with stemware artfully arranged.
'124': Black and white umbrellas in a multi-colored picture near the water.
'125': A vase full of flowers next to a bathroom sink counter.
'126': A man that is sitting in the dirt with a bat.
'127': Toilet with a black lid and rolls of toilet tissue in a bathroom
'128': Nice paintings and furniture are arranged in a fancy looking house.
'129': A woman waiting under an umbrella on a bench on the sidewalk as people
go by.
'130': A black plush toy sitting on the metallic lid of a toilet.
'131': A cake sitting on top of a table.
'132': A person and a parrot are cooking some food in a kitchen.
'133': A squirrel standing on a wooden post near a house.
'134': A man in grey baseball uniform throwing a ball.
'135': A photograph portrait of a male teen in coat and tie.
'136': A collection of soap dishes, bowls, small trinkets, and candles.
'137': Two people standing in a field flying a kite
'138': There is a platter with a salad on white linen.
'139': A semi truck pulling a chain of three trailers.
'140': A very cozy looking living room with a rectangular table.
'141': A man in mid air while riding a bicycle.
'142': An elephant on top of a truck trailer.
'143': A fire hydrant painted exactly as the patriotic flag
'144': A train is shown on the inside of a station.
'145': Three people are skiing on the snowy mountain.
'146': A man sits on his bed with a laptop in his living room as a ray of
sunlight streams through the window.
'147': Some cinnamon toast and eggs that are half eaten on a table.
'148': 'A skier makes his way up a snowy hill, eschewing the lift. '
'149': Many types of fruit on display on a street.
'150': A newly married couple sharing a piece of their three-tiered wedding
cake.
'151': A person holds an oddly shaped cookie in front of the camera.
'152': A view of a pair of boots sitting in a corner, with an umbrella.
'153': A hot air balloon and a double decker bus are sitting on a green
field.
'154': People stand near the cracked curb behind a lime green double-decked
bus.
'155': A unique car sitting beside an airplane and a motorcycle.
'156': A double decker bus is shown that is not in service.
'157': The rugby match is played by teams in white or blue uniforms.
'158': A cat is laying with its water dish in front of it.
'159': A tennis player hitting a ball in a high position.
'160': A couple of red cones are near a taxi.
'161': This kitchen has a white stove, stainless steel refrigerator and
black cupboards.
'162': A man standing behind two striped brown horses on a dirt field.
'163': 'A sliced pizza sitting on a table next to a glass of water and a
glass of wine. '
'164': A child and an elderly woman are seated at a table holding three
pizzas.
'165': A woman and a child are pinning a flower onto a man's blazer.
'166': A giraffe eats leaves from a basket in an enclosure with a water
fountain.
'167': A computer and a lamp sit on a desk by a printer.
'168': A bathroom that has a broken wall outside of the shower.
'169': A sink and toilet with a mirror in a very small bathroom.
'170': A woman in white is leading a high horse with a rope.
'171': A room with a couch, chandelier, table set with dinnerware, and a
television.
'172': a black bike rests against a brown bed
'173': A bride and groom cutting a wedding cake.
'174': Two women and one man pose for a picture.
'175': A street sign near a road with some trucks.
'176': An elderly woman is skiing down the mountain slope.
'177': Various pots and plates displayed next to a woman.
'178': The giraffe is sleeping in the shade of the tree.
'179': The brown dog is laying near a silver dog bowl.
'180': two men camping in the woods near rocks
'181': A couple of people sitting next to a wooden bench.
'182': Some planes fly by next to a power line.
'183': A private truck travels along the road by a hill side.
'184': An elderly lady swinging a tennis racquet on top of a tennis court.
'185': A man diving in the ocean with a sail boat behind him.
'186': A beautiful woman sitting on a brick wall.
'187': A small bathroom without an open design concept.
'188': A cat laying down on a pink comforter with blue sheets.
'189': A man holding a broken tennis racquet on a tennis court.
'190': A white bird sitting on top of a mountain overlooking a lake.
'191': Three young men at a table eating breakfast at a restaurant.
'192': A young boy in a white jacket riding a black horse.
'193': A person walking in a square carrying a black and white umbrella.
'194': A man holding a ball while standing next to an electric gate.
'195': The painting is of a vase of flowers on a table with a lamp.
'196': some red chairs are sitting around a small table
'197': A dog pants next to a bowl of water on the ground
'198': 'The group of zebras are in the field. '
'199': A bunch of paintings sitting on a sidewalk.
'200': A cat and a small dog are laying on a blanket on top of a pillow.
'201': A man and a woman are on a tennis court holding rackets.
'202': A desk with a computer monitor and two laptops.
'203': An undecorated fire hydrant is standing on the street.
'204': A girl looking through a book on top of a table.
'205': Bananas being sold and a man looking at them.
'206': A woman sits on a ledge and looks at her phone.
'207': A man sitting on top of a tennis bench with a green racquet.
'208': A group of zebra standing in the tall grass with a lion nearby.
'209': Pizza with olives on a white plate setting on a table.
'210': A monkey is biting on a hand-fed carrot.
'211': a close up of a dog near a bowl
'212': A group of people reading books on a subway car.
'213': A white plane and a hot air balloon fly in the cloudy sky.
'214': A stuffed bear is sitting inside an eatery.
'215': A small airplane is about to take off on the runway.
'216': an odd looking toilet is against a wall
'217': 'A man standing near a table with video equipment. '
'218': 'A kitchen illuminated by a track lighting unit. '
'219': Passengers standing outside a green and white tour bus.
'220': A view of buses riding through heavy city traffic.
'221': A grave sight with teddy bears on a statue
'222': Green plants, climbing vines, and a water fountain in a garden plot.
'223': Several people are riding the waves on their kayaks and surfboards.
'224': Partial picture of a kitchen and a table and chairs under a lamp
and a rug.
'225': A man is beside a ramp doing skateboard tricks.
'226': 'a table with a large cake and small plates of cake '
'227': Seven jets are breaking formation and leaving trails of smoke behind
them.
'228': 'The freight train is painted orange and yellow. '
'229': There is a cream colored couch behind the oval coffee table.
'230': Three teddy bears laying in a canopy bed under the covers.
'231': A little boy with a balloon is standing in the grass with a kite
in the sky in the background.
'232': An individual stuffed animal sitting in bed.
'233': A sheep and a cow standing up against the side of a house covered
in grass.
'234': A BOX OF DOUGHNUTS JUST SHORT OF A DOZEN
'235': A zebra all by itself near a river in the green forest.
'236': A group of young boys sitting on a field.
'237': A young boy and a teddy bear are sleeping on floral printed sheets.
'238': 'a man holding a piece of pizza in front of a kid '
'239': View of a very messy bedroom with boxes and bags being rearranged
on the floor.
'240': A dog is laying on sofa and the cat is laying on the floor in front.
'241': A person is holding up a half eaten pastry.
'242': A person riding waves with a dolphin in a body of water.
'243': A room with a bed, a desk, and a television.
'244': A boy sitting on top of a couch under a blue blanket.
'245': A pizza with vegetables and cheese hanging off a board.
'246': A woman is giving her mobile phone to someone to take a picture.
'247': A plate of blueberry coffee cake with butter and an orange slice
on a table with breakfast foods.
'248': A couple sits on a couch while playing wii.
'249': A view of mountains from the inside of a train from a side window.
'250': 'A stop sign has been placed upside-down in the grass beside a building. '
'251': A girl holding an orange shirt on some grass.
'252': A group of warthogs and giraffes by a water hole.
'253': A black cat sleeps in a white bathroom sink.
'254': A person on a bicycle is carrying a rainbow umbrella while riding.
'255': A small bathroom has a sink and a storage rack over the toilet.
'256': A plate of some food on a table and a chair next to it.
'257': Cars, truck and carriages are traveling on the road
'258': Two women play around on a nature trail.
'259': A group of people on skis descending from the peak of a mountain.
'260': A view of motorcyclists riding their bikes through heavy city traffic.
'261': A woman sitting on a unique chair beside a vase and a lamp.
'262': Motorcycles and mopeds line a side street during the day in a city.
'263': A living room with the walls painted blue color.
'264': A red dog sitting on white table next to metal object.
'265': A black and white photo of a farmer standing next to horses.
'266': A church steeple is shown amidst telephone wires and a billboard.
'267': a man is flipping through a book on a bed
'268': A man looking at a picture of a TV screen.
'269': A table topped with pears, oranges and bananas.
'270': 'A cat in a bathroom with a tub and a toilet. '
'271': Train with horns blaring, multiple track area, near over/under pass.
'272': A building wall with a fountain and a pair of doors that are open,
along with vases of flowers on the outside of the building.
'273': Several male horse riders crossing a river to shore.
'274': A man gazes at an intricately designed clock with roman numerals
and a painting on the wall.
'275': Silverware sitting on top of a white plate with white pastries.
'276': Cargo loaded with a truck slowly creeps down the street.
'277': A monkey sitting on top of a banana tree.
'278': A man riding a skateboard up the side of a ramp.
'279': A teddy bear and a stuffed raccoon sitting on a faded wooden outdoor
chair.
'280': A giraffe lying down under a leaf filled tree.
'281': A man holding a smoky oven door open while he looks in it.
'282': A huge, crashing wave with lots of spray is carrying a kneeling wet-suited
surfer and a seagull to shore.
'283': A white toilet and sink combination in a small room.
'284': The door is open and shows a train car on the other side.
'285': A baby tabby cat walking behind a bicycle leaning against a wall
'286': People in an audience taking pictures with their cell phones.
'287': A boy is on the beach holding a glowing toy.
'288': A person holding a piece of food in front of a cafe and a bicycle.
'289': Vegetable pieces and knife are kept on cutting board.Cabbage is on
the table.
'290': A man puckers up as he holds a large orange next to his hand.
'291': A herd of gazelles standing on top of a field.
'292': A briefcase with decorated with stickers and sunglasses placed on
a table.
'293': One woman and a man pose for a picture while two women cut a cake.
'294': Group of small children running down the field playing soccer.
'295': A vintage closeup shows a chair with a toddler with a big smile and
a big toy bear lying next to a second toddler with a semi-smile, holding
what appears to be a coin purse.
'296': There are dancing women that are laughing under the umbrella.
'297': The person has a bag and some magazines neatly stacked on the table.
'298': 'A man holding a frisbee in a parking lot near water. '
'299': A sandwich on top of a ceramic tray next to a bowl of dipping sauce.
'300': 'A black and white picture of a busy street, only red is in color,
a red double decker bus drives down the road. '
'301': Two cats sitting on top of a pair of shoes.
'302': There is a woman standing near a river with an umbrella.
'303': A bathroom contains a toilet and sink above a vanity.
'304': A very big whit rest room with a shabby looking shower.
'305': Several suit cases stacked on top of each other with luggage tags
on them.
'306': A very tall clock tower sitting next to a tall mosque.
'307': 'The personal sized pizza is on a table in the restaurant full of
people. '
'308': A bathroom with pink and white walls.
'309': The bathroom has very white appliances in it.
'310': There are a group of people sitting in chairs using electronics
'311': Colorful sheep standing in front of a white wall in a building.
'312': A teddy bear sitting on a red sofa.
'313': A giraffe standing on the edge of a lush green field.
'314': An outdoor patio filled with furniture and very large rugs.
'315': A duck floating in the water near a bunch of flowers, grass, and
rocks.
'316': A squinting tennis player puts down a tennis racket.
'317': A stuffed animal with a toothbrush and a toy car.
'318': A white horse drawn carriage in front of a yellow building.
'319': A spotted horse with a blond mane inside of a coral.
'320': 'An old toilet painted red with a wooden lid. '
'321': A plate of vegetables, chicken, and brown rice.
'322': A flock of birds flying over sailboats on the ocean next to a beach.
'323': A close up of a street sign without a sky background.
'324': A camera showing a picture of someone touching a donut.
'325': A woman is observing a tennis match in a tennis court.
'326': A dog is lying next to a laptop computer.
'327': A shiny metallic refrigerator in a brown colored kitchen.
'328': 'Black and white photograph of young schoolboys. '
'329': 'A bedroom in an old house that is being renovated '
'330': Brown dog lying on tidy bed in bedroom of home.
'331': a man wlaks down a snowy tundra field
'332': Several people are grouped together in a public area.
'333': Three hand formed clay pots with silver dripping paint.
'334': The foot of a person on a bicycle is prominent in this photo.
'335': A long orange train traveling along a misty tree filled forest.
'336': A woman with an umbrella on a commuter train takes a snooze
'337': A computer user types one handed on a keyboard.
'338': A wooden plate with a bowl of tomato soup and two halves of a grilled
cheese sandwich.
'339': A man is surfing in the water with seagulls flying over the rocking
waves.
'340': A herd of sheep standing on top of a hill near a waterfall.
'341': Two zebras fighting in a open area with green bushes.
'342': A horse and a dog gallop through a meadow.
'343': A man looking down at an open laptop and a coffee mug.
'344': A black toilet and a sink in a tiled public bathroom stall.
'345': A blue lighted bridge over water at night.
'346': 'The bowl is full of pasta and vegetables. '
'347': The orange handles of scissors are sticking out of a holder.
'348': A small child that is holding a toothbrush and brushing their teeth.
'349': A man sitting on a mirrored floor taking a picture of himself in
a mirror.
'350': A man is close to the ground as he skateboards on the ramp.
'351': A large jet airplane sitting on a tarmac at an airport.
'352': A young boy on a tennis court prepares to hit a tennis ball with
his racquet.
'353': A red fire hydrant embedded in a city sidewalk.
'354': A teddy bear and a plush bunny set next to each other.
'355': A sign with the word pub sits on a table and underneath it on a wall
is a blender and three bottles of variety of alcohol and some flavoring.
'356': A man is walking towards a fruit stand containing several bunches
of bananas.
'357': A woman not wearing a skirt shows off her tattoos.
'358': 'a room with some big window on the side of it '
'359': A woman sitting in a hospital bed hooded up to machines.
'360': 'A man in a florescent green hoodie holding a fuchsia umbrella. '
'361': A vase of bathroom flowers sits on a red countertop.
'362': A long orange train traveling along a desolate forest.
'363': A woman is standing next to a bathroom floor by a trash can.
'364': A child blows out the candles next to a birthday cake.
'365': Twp cake pans sitting and cooling on the stove
'366': A moped and utility truck next to a small skyscraper.
'367': A white street sign in front of a green large tree.
'368': A bathroom contains a toilet and a copper sink below a vanity.
'369': A man near a tennis court with a tennis racquet in hand.
'370': Several cows grazing in the muddy field with a house in the background.
'371': A rustic kitchen filled with metal appliances and a window.
'372': A person is moving white hay towards an elephant that is inside the
back of a green truck.
'373': A man sits on a motor bike with a cart extended.
'374': An actress standing near a trumpeting elephant on a sunny day.
'375': 'Two players compete in a video game as another person watches. '
'376': A young man standing upright while riding skis.
'377': A dog is lying next to a laptop computer and a book.
'378': A giraffe is eating grass with an antilope in between two zebra.
'379': An eighteen wheeler truck and a helicopter are parked in a lot.
'380': A man holding a tennis racket in his hand outside the tennis court.
'381': Someone is sitting on a neatly made bed while a dog looks on.
'382': A dog looks out of the smudged window as the car driver goes past
a historic town.
'383': Palm trees are in the foreground of a picture with a tilted clock
tower standing above them.
'384': A six-wheel truck is parked in a lot.
'385': A passenger airplane is taking off out of a cloudy sky.
'386': A white helicopter is hovering above the runway.
'387': A baseball game showing a batter waiting for a pitch.
'388': A small bathroom with a closet off to the side
'389': Some scrap book scissors are on a brown table.
'390': A group of walkers are seen while passengers ride in a train.
'391': A silver car is seen through the rain soaked window.
'392': A tall boy standing on a field with a kite over his head.
'393': Some birds are flying over a large field.
'394': Three hot dogs with similar toppings lined up on a tabletop.
'395': A stuffed bunny is holding a tooth brush.
'396': A picture of a very large clock on top of a building.
'397': People and dishes from cake at a children's party with balloons.
'398': A vase of flowers are sitting on a bookshelf in a sunny window.
'399': A buffet with many sushi lined up behind glass.
'400': A man on a beech vehicle making his way thru the sand.
'401': two bears playing together while swimming near a log.
'402': A highway filled with lots of traffic and buses.
'403': There's a number 41 bus without a green stripe on it.
'404': A pizza with lots of cheese on a flat brown surface.
'405': A bathroom with pink walls and blue tile.
'406': A picture of a person playing in a tennis game.
'407': A colorful fire hydrant next to a field of green flowers.
'408': Several bottles are displayed in a commercial refrigerator.
'409': Plates of Vegan Pizza with silverware next to ketchup and other condiments.
'410': A wooden table with an inverted umbrella beside it.
'411': A woman in a tennis tournament getting ready to hit the ball.
'412': A brown dog laying on the ground with a plastic bowl in front of
him.
'413': A man that has glasses and a hat.
'414': A tennis player releases an extra ball from his pocket.
'415': A child holding a tennis racquet on a tennis court.
'416': A sign stating tree trimming is on a tree by a bicycle and a parking
meter.
'417': A man and a child are sitting down cutting a cake.
'418': Two cell phones of differing quality are set under each other on
a table.
'419': A plate with a slice of pizza sits on a table.
'420': A man is spilling something from a red bottle.
'421': Square pastries and cupcakes are assorted on a white platter.
'422': A person is holding a spatula near slices of bread on a stove.
'423': A couple of lions standing in a building.
'424': Plate of food that includes chicken, beans and a pickle.
'425': A uniformed juggler being watched by people.
'426': Parked cars sit on the side of many streets.
'427': A display of vintage animal toys on the floor.
'428': A door is closed to a white bathroom that has a black garbage back
on the floor.
'429': A tennis man running towards the black ball with his racket.
'430': Boy looks back as he fixes flower on girl's suit.
'431': A man on a snowboard flies through the sky.
'432': 'A city sidewalk with people walking up and down '
'433': some animals are grazing in a large field
'434': A single teddy bear sitting alone.
'435': A bedroom with a bed and a flat screen TV on top of a wooden dresser.
'436': A woman in a Rays uniform is throwing a baseball.
'437': A black and white umbrella in the center of a colorful picture of
a busy city side walk.
'438': A flower vase on a wooden table topped with a plate of lots of food.
'439': A newspaper spread out on a quilted bed with a made pillow.
'440': two men walking down a city streen next to a blue pole.
'441': A couple of men standing next to each other.
'442': A group of people standing on a field under a cloudy blue sky.
'443': A life size replica of two people standing next to a suitcase.
'444': A GREEN TABLE WITH A OLD SHINY BLENDER AND A PRINTER.
'445': The red and white fire hydrant and a mailbox are embedded in the
street.
'446': A baby elephant leads an elephant towards a door.
'447': A dusky evening with a green street light shining.
'448': 'A picture of a women sitting on a motorcycle with a side car with
a desert background of hills. '
'449': An Asian child and their grandma are brushing their teeth with blue
toothbrushes.
'450': A domed jet airplane parked next to a large tower.
'451': A red and grey fire hydrant on a crowded street corner.
'452': A close up of a table with many plates of food and a lamp on it.
'453': An elderly woman smiles from behind the book she has been reading.
'454': Two baby cows get milk from their mother while another cow stands
nearby.
'455': A ham pizza with grated parmesan is on a plate in front of a TV.
'456': A dog sitting on a table next to plants and a cat outside of a sliding
glass door, looking in.
'457': A plate with a spoon and cake on top of it.
'458': 'three people standing by an elephant behind a fence '
'459': A man poses in front of a giant pizza.
'460': This is a black and white photo of a white bedroom.
'461': People cross the street at the corner of rundown buildings.
'462': A group of people with skis and snowboards stand on a mountain.
'463': A vase filled with flowers next to a smaller vase filled with even
more blue flowers.
'464': Two white girls sitting on the side of a little boat.
'465': The garage is organized with tools neatly arranged on the shelves.
'466': A black suitcase with a handle and white background.
'467': Three zebras stand side by side looking at the camera.
'468': A young man holding a book and a skate board.
'469': Two barefoot women holding game controllers in each hand.
'470': An elephant and a giraffe in the back of a truck trailer.
'471': Oranges sitting on top of a banana and other fruit.
'472': A man pinning a flower onto a woman's blazer.
'473': A traffic signal at an intersection depicting "horse crossing".
'474': Two men stand in the woods as one of them throws a Frisbee.
'475': A yellow pen on top of a sparkling closed laptop computer.
'476': 'A sandwich on a plate with three slices of bread, tomatoes and chips
on the side. '
'477': A bathroom with two toilets near towel and soap dispensers.
'478': An orange truck driving down a street empty of men in the back.
'479': A man and a woman are on the court holding their rackets.
'480': A boy in a floral dress sitting next to a girl in a blue shirt eating
food.
'481': The notebook, pen, and pencil are laying next to the laptop.
'482': A plate that has cake on top of it.
'483': A person is holding two apples on a plate at sum sort of celebration.
'484': A young woman standing in the kitchen pours from a mixing bowl and
a large measuring cup.
'485': A skateboarder doing tricks inside the rim of a pit.
'486': A rooster is walking on a grassy beach.
'487': A newly married bride standing next to a four layer wedding cake.
'488': An old style kitchen with baby blue cabinets.
'489': A basket is filled with a bouquet of tulips.
'490': A street with work cones and an orange truck on it.
'491': A view of a bathroom that needs to be fixed up.
'492': Three people riding horses on a beach and a boat sailing in the distance.
'493': A room empty of colorful furniture and a TV.
'494': There is a street sign on top of a stop sign near a bench and a tree.
'495': A man skiing along a zigzag rail on the snowy hill.
'496': Many small children are jumping together in the black and white photo.
'497': A kayak stowed up on the beaches on sand.
'498': A red and black BNSF train travels along its tracks while a helicopter
flies overhead.
'499': A very sharp dressed man with a black top hat.
'500': A woman sitting on a bench next to a statue sitting on a bench.
'501': A red and grey fire hydrant and a bicycle rack are on a street corner.
'502': The person is standing in the deep snow. The trees are covered with
snow.
'503': an extremely nasty toilet in front of pipes and cable
'504': A surfer falls off the face of a wave.
'505': A shelf with a white and blue vase, artwork and black cloth.
'506': A large commercial airplane and a hot air balloon are taking off
into the sky.
'507': A stable full of lambs standing and laying around.
'508': Small made up bed in modern bedroom, with large desk.
'509': A young redheaded woman in sunglasses and white tank top holds a
white leather purse and a black umbrella.
'510': A man sits on a motorcycle with a sidecar.
'511': He was holding the baby in his chair at the dining table.
'512': Two men are beside a bicycle and a third is on a scooter.
'513': A sheep stands under a tree in a grassy place.
'514': A living room with an old fireplace and bookcase.
'515': Seagulls fly by a boat near a lighted bridge.
'516': a man is walking his dog through the city
'517': A colorful umbrella in the center of a black and white picture of
a busy city side walk.
'518': A couple of people without skis in the snow.
'519': The hand of a person picking up a cookie jar of cookies.
'520': two people are playing a video game and a male is watching
'521': A bunch of people are standing in the snow near some tents.
'522': A girl in plain dress standing next to a white teddy bear.
'523': A puppy on a bed with its arm stretched out toward the camera.
'524': A row of scooters leaned up against a wood rail in the sand.
'525': Set of toy animals sitting in front of a red plastic wagon.
'526': 'a woman standing on a sidewalk while using a cell phone '
'527': A man in shorts and a long sleeve shirt is watching a tennis game.
'528': A herd of cows are standing in a green field.
'529': 'A man throwing a ball while smiling and on a field. '
'530': A floral bathroom is very colorful with blue, yellow, and red.
'531': A man who is clean-shaven holding up a plate of food.
'532': ' a living room with a big table next to a book shelf '
'533': A brick structure with a bench and a clock tower in the background.
'534': Two otters on the water playing with each other.
'535': Small girl in green shirt holding a cookie to her face.
'536': A group of people sitting on a bench near a lake.
'537': A bedroom with a large bed sitting next to a black dresser.
'538': A cat sitting in front of a monitor that is displaying a picture
of another cat.
'539': A bald woman laying in a hospital bed hooded up to machines.
'540': A little boy standing in the grass with a kite in the sky in the
background.
'541': A table without sandwiches, chili, french fries, and a drink.
'542': A brown cat lying on a black suitcase.
'543': We are looking up at a clock and a bird in the peak of a roof.
'544': A zebra out and about eating some grass
'545': Two hot dogs on a white plate with piece of parsley.
'546': Some blue toothpaste applied to a red toothbrush.
'547': A woman holding a plastic utensil passing out a piece of cake.
'548': Some ball players are throwing towards home plate and talking.
'549': A cat sitting on the couch with a dog laying on the floor.
'550': A boy pins a bouttoniere on the lapel of his date.
'551': A sheep standing up against the side of a house covered in grass.
'552': A little girl takes a spoonful of pasta from a dish.
'553': A dog laying on a chair underneath a painting.
'554': a man and a cat looking inside a fridge
'555': An old fashioned train passing by train tracks in a wooded area.
'556': A plate of noodles with meatballs and sauce and a fork.
'557': A sink and mirror in a very small bathroom.
'558': A wooden spoon resting on top of a pot of food.
'559': A man with a black moustache and a top hat.
'560': Cooking utensils are next to the stove.
'561': The plate is full of pasta and vegetables.
'562': A young boy dressed in neon yellow holding a pizza in a box.
'563': A parking meter is on a sidewalk next to some green bushes.
'564': People are walking down the sidewalk and past a fountain in a city.
'565': A hotel room with a small television and a work desk.
'566': A cat standing next to an open refrigerator door.
'567': some colorful carrots sitting on a table next to some other veggies
'568': Woman showing off very large home made pizza.
'569': A woman sitting on a rock bench next to a wooden wall.
'570': A dense cake with fruit in it sitting on a blue plate.
'571': The restored old time car is parked near a four engine airplane and
a helicopter.
'572': A skate board rider skating on the edge of a ramp.
'573': A group of zebras in a grassy area next to trees.
'574': a urinal hanging on a wall in between two stalls
'575': A man standing by the desert with something in his hand.
'576': The painting of the couple in bed is displayed in the large window.
'577': A man sitting at an open bench and table with a wooden umbrella sitting
on the table.
'578': A large airplane flying through the clouds in the blue sky.
'579': 'A picture of an open air zone that looks incredible.
'
'580': A boy sitting on top of a couch under a furry pink blanket.
'581': A double-decker bus stopped at a curb to allow people to board the
bus.
'582': A giraffe and a lion behind a fences reach for the hay in the basket.
'583': A sheep lying on the grass in front of a fence.
'584': 'Two long boats are sailing near a large bridge. '
'585': A young redheaded woman in sunglasses and black tank top holds a
white leather purse and a black umbrella.
'586': A brown teddy bear sitting in a red chair.
'587': A man is on the court holding his ball.
'588': A man deletes a picture of himself eating food.
'589': A pepperoni and ham pizza in a pizza tin.
'590': 'A pan of stir fried vegetables being cooked. '
'591': A man on a motorcycle is waving at two men.
'592': Penned cows eating hay in indoor facility area.
'593': A close-up of a misshapen piece of pizza and a can of soda.
'594': An overhead view of a pizza on a pizza stone.
'595': A giraffe sticking his head in the sky away from a tree.
'596': An adult and two baby elephants standing near a fence.
'597': A pen and a notebook are sitting on top of an electronic device.
'598': A couple dozen of croissants on a wire rack.
'599': Some cupcakes and frosted cakes with little decorations on top are
in a display case for sale.
'600': A bunch of pizzas are on display on top of a case.
'601': Girl looks back as she fixes flower on boy's suit
'602': A briefcase with decorated with stickers placed on a table.
'603': A little girl in a pink shirt holding a game controller.
'604': A variety of desserts and fruit bowls are being displayed for people
to enjoy.
'605': A rooster walking on a beach near the calm ocean.
'606': A field with various wildlife and trees in the background.
'607': A black cat sits in a bathroom sink with a rubber ducky.
'608': Toilet with black splatter paint on a white seat in a restroom stall.
'609': Reading materials are stowed above a canopy zebra themed bed for
relaxation.
'610': A parent and a young child are brushing their teeth together.
'611': A woman holding a tennis racket in her hand while on the tennis court.
'612': A large, ornate clock tower rises above another skyscraper.
'613': A white bicycle is leaning against a curb.
'614': A man is petting an elephant over a fence.
'615': Girls wash a rusted motorcycle while men look on.
'616': Several toy animals - a bull, giraffe, snake and parakeet.
'617': Cooking utensils are on the backdrop of a stove and a microwave.
'618': A black cat with pink paws is standing among some wooden boards and
a toy.
'619': A big hamburger on a plate next to a glass of beverage.
'620': A bunch of colorful signs on a pole.
'621': A pineapple and ham pizza in a pizza tin
'622': A child and two men are using nintendo wii remotes to play a game.
'623': A comfortable hotel room featuring a hot tub and a big screen television.
'624': A bunch of old refrigerators in front of an open door with a ladder
leaning against it.
'625': A wooden table with an upright umbrella on it.
'626': Two people standing in front of some trees and a stream.
'627': A man uses a laptop in an otherwise dark room.
'628': Lots of broken toilets sitting out on a lawn with scaffolding nearby.
'629': A group of bananas are resting on a bowl and a stand.
'630': Four giraffes standing around while three zebras run past.
'631': An umpire is talking with two players on different teams.
'632': A brown rabbit standing on top of a lush green field.
'633': Some people who are placing luggage on a runway.
'634': A sunny day at the beach with a lot of people and palm trees.
'635': There is a small black table next to a white toilet and a tall green
plant.
'636': A piece of bread without a hot dog in the middle is shown.
'637': Near a couple of trains, people are standing.
'638': A table with a book next to a cup of pepsi.
'639': A colorful object is flying through the blue sky
'640': There is a tractor far from some boats on the beach.
'641': A herd of three horses standing on top of a green field.
'642': A residential bathroom with sink, tub, and toilet setting in it.
'643': A surfer coming in on a large wave.
'644': A couple of men and a child are standing in front of a building.
'645': Two giraffes nudging over a pole near a pond in a forested area.
'646': A man is in a kitchen making pizzas.
'647': The photo of the double parking meter and a traffic cone has a blurry
city in the background.
'648': A man holding a tennis racquet on top of a tennis court.
'649': A herd of zebra are grazing on tall dry grass.
'650': A close up of sheep next to hay on the indoor ground.
'651': 'two young children sitting on the ground playing nintendo '
'652': Two slices of pizza and a cupcake are sitting on a paper plate.
'653': A smart white toilet with a black seat on top of a tiled floor.
'654': A photograph where the only color is coming from the bananas and
flowers on a stand.
'655': A wooden bowl on top of a table filled with food.
'656': 'a dog laying next to some colorful blankets on a white bed '
'657': 'a cat sitting in an office chair. '
'658': A shelf with a black and blue vase, artwork and white cloth.
'659': An airplane with blue wheels barely off ground tilted slightly upward
from the pavement to the sky.
'660': A group of people sitting with remotes in hand.
'661': The small girl in a green shirt is dropping a slice of pizza from
her hand.
'662': A BOY WITH A BLUE SHIRT AND JEAN PANTS DOING A TRICK WITH HIS SKATEBOARD
'663': a blonde horse is standing in a field
'664': A video game man is holding serious controllers.
'665': An acrobatic airplane flying in the air during the day.
'666': a zebra bending down eating something off the ground
'667': Multiple people are walking on a street with shopping.
'668': A young man downhill skiing down a slope.
'669': 'There is a large ship in the middle of the ocean. '
'670': A boy reaching for a baseball glove in a dugout.
'671': A double sink vanity with mirror, frosted shower stall and toilet
in a bathroom.
'672': A little boy standing in the grass with a kite in the orange and
purple sky in the background.
'673': A man is holding an oar on a surfboard in the middle of the sea.
'674': A fire hydrant and an umbrella are sitting in the grass.
'675': A giraffe and two zebras in a dirt area next to fence.
'676': Black and brown dog sitting on the black couch by itself.
'677': A man and his son are running along the beach side with a self assembled
kite.
'678': A woman in the kitchen standing with her dog.
'679': Two teddy bears are at a table with honey and tea.
'680': A cat has its front paws off a toilet seat.
'681': Four picture collage of a snowboarder wearing a brown jacket and
red pants going down a snowy mountain side.
'682': A woman holding up an umbrella over a boy's head.
'683': A green fire hydrant next to field of colorful flowers.
'684': A woman sitting on a bench with a church behind her.
'685': Steak and mushrooms served with broccoli garnished with parsley.
'686': Three stuffed animals lay in a bed separated from each other.
'687': A man is in action on a green tennis court.
'688': A brown dog and a bird are standing on a wooden bench near a lemon
tree.
'689': A young lady and a boy are swinging tennis racquets on top of a tennis
court.
'690': An airplane flying in the dark above a runway.
'691': Large baked pizza served on stand at table with beverages.
'692': Three zebras standing in a sandy desert area.
'693': A laptop computer sitting on top of a white desk.
'694': A man handing a monkey a stick in an enclosure at a zoo.
'695': A white bowl with a donut and napkin sculpture.
'696': A bike in view in a living room with a Christmas Tree in the background.
'697': A group of horses running across a lush green field.
'698': A baseball player pitching a baseball on a field.
'699': An airplane pulls up along some buildings while a train passes by.
'700': A blonde cow is standing in a field.
'701': A large clock sitting on a sidewalk in front of a brick building.
'702': A wall urinal in a stall with an auto sensor flushing system.
'703': A self service parking lot with an intersection behind it and a building
in front of it.
'704': Two otters that are standing in the water.
'705': A person is eating pizza, fruit, and salad at a table.
'706': A brown dog is looking outside of the car window.
'707': Several vehicles and a motorized cart pull up outside of a building.
'708': A group sits on a couch while playing wii.
'709': A bird standing on a piece of wood.
'710': The hand of a person picking up the first two pieces of pizza.
'711': A patio umbrella pointed inside out over a picnic table.
'712': The door of the refrigerator has several papers on it.
'713': plates with sandwiches next to a can of spam
'714': A person walking down a street paved with colorful tiles past a teddy
bear sign.
'715': Men in blue shirts push carts of luggage in an airport.
'716': This is a picture of a car parked in a handicap space in a lot.
'717': A colorful bus parked in a lot beside a tall building with many windows.
'718': The signs give the street names and show where to park.
'719': Different foods are on display on a bunch of counters.
'720': A pancake topped with shrimp, rice, spinach, and broccoli.
'721': a person standing on a briefcase lifts his leg over cement.
'722': An adult is cooking at the kitchen counter near a baby, a dog, and
a bird.
'723': A white assortment of crackers, dip and veggies sitting on a counter.
'724': Lots of broken bicycles sitting out on a lawn.
'725': Plate of crackers with something spread on them next to a keyboard
'726': People standing around a waiting room with a flat screen TV.
'727': Some kind of a pancake that does not have broccoli and sauce on it.
'728': A person walking while carrying a rainbow umbrella
'729': A man wearing a cat and sunglasses with a red neck tie.
'730': 'A child playing with a plastic bat and ball in a yard next to a
garage. '
'731': A small airplane is about to take off on the runway with a control
tower in the background.
'732': Empty stylish kitchen and living room with big picture windows.
'733': A cat stands on a table knocking over a glass of water.
'734': A guy riding a skate board is speaking into a microphone.
'735': A young child and a duck playing with several lawn type ornaments.
'736': A wheelbarrow leaning on a surfboard in a backyard.
'737': A plate of different kinds of food on it.
'738': A man and a child are holding tennis racquets on top of a tennis
court.
'739': A man in a defensive stance holding a racquet.
'740': A man on ski poles and a snowboard using a parachute.
'741': Leafy greens and sun dried tomatoes on something
'742': 'A woman on her cellphone standing on the sidewalk in a city. '
'743': There are 3 male lions together walking around.
'744': A cat is staring while sitting in a sink next to a vase.
'745': A black and white cow stands in a paddock with firewood in the background.
'746': A man with a hat sitting on a chair with a wiimote.
'747': A damaged old time car is parked near a four engine airplane.
'748': A couple of people sitting around a marble table.
'749': An urban street with a streetlight, one way sign, and people walking.
'750': A shocked looking woman in the mirror about to brush her teeth.
'751': A display of fine food and spices on a wooden table.
'752': two giraffes are standing together outside a barn
'753': A beautifully designed clock tower with gold and blue next to a fountain.
'754': 'The small herd of sheep are grazing on the grassy field. '
'755': A teddy bear is sitting near to a toy with pegs and building blocks.
'756': An man standing in a kitchen with a small puppy and a parrot.
'757': The cat is laying in the sun by the open door.
'758': A woman out of a blue dress with no shoes, seated with her legs crossed
on a chair in the middle of a room.
'759': a donut with a cup of coffee and an ornate napkin holder
'760': A vintage red car in front of a vintage army prop plane.
'761': A little boy making a mess with his dinner.
'762': Two people outside of a red building near a stone fire hydrant.
'763': Small personal pizza with bacon, spinach, and mushroom.
'764': A woman gazes at an intricately designed clock with roman numerals.
'765': A woman poses in front of a giraffe.
'766': A man and a chicken are cooking in an outdoor state of the art commercial
looking oven in the midst of a farm.
'767': A woman and girl flying a kite near a large castle.
'768': An elephant standing in a shaded cleaning in a wooded area.
'769': A car and a public transit vehicle on a road.
'770': Two horses lay down outside in their corral, with mountains in the
background.
'771': An empty street at night without any lights in the background.
'772': The remains of a piece of red cake sits on a white plate.
'773': 'A piece of cake with butter on it sits next to an orange slice. '
'774': A person scrubs the inside of a toilet.
'775': a stuffed animal that has a tooth brush
'776': Two young elephants stand next to a wooden fence.
'777': An old woman standing in a kitchen posing for a picture.
'778': THERE IS A GAME A BASKETBALL GAME GOING ON
'779': A picture of a couple that just got married lying in a bed with a
book.
'780': A single cow standing at a watering hole with birds flying overhead.
'781': A turboprop airplane and a helicopter are in the hangar for repair.
'782': A long-haired man sitting outside holding a racquet with both hands.
'783': A colorful brick building with a tall clock tower beside it.
'784': A fire hydrant that has the stars and stripes on it.
'785': A married couple is in front of a wedding cake getting ready to cut
it.
'786': Two women are walking by the sheep and petting them.
'787': A statue is sitting on a bench and a woman sits on a cement block.
'788': Four zebras stand together in a grassy plain.
'789': A child is dropping a spoon while looking at a cupcake.
'790': A black cat is lying in a bathroom sink.
'791': A man sitting at a table with a plant and using a laptop computer.
'792': A fire hydrant and a bench are near a tall bush in a field.
'793': A man is cooking while wearing an apron and scarf.
'794': A person with a beach hat looking at the ocean.
'795': 'a double decker bus sits parked on a curb '
'796': Aerial view of a hot air balloon and an airplane ascending into the
sky.
'797': two dishes holding a bunch of vegetables and fruit
'798': A herd of horses are standing in a green field.
'799': A television, couch and bookshelf in the corner of a room.
'800': Three zebras huddling together nearby a very dry area.
'801': An adult is holding some poles in the middle of a grass field.
'802': A woman sitting on top of a metallic bench near a park.
'803': A child wearing a sparkly baseball cap with a remote control and
a sippy cup.
'804': A cutting board with sushi and a glass of wine.
'805': A man and a woman stand next to each other in a kitchen.
'806': A group of people walking past a tall clock.
'807': Arrows show what to do with the bowls of food.
'808': a woman in a black dress some blue chairs and another person looking
in an oven
'809': A group of dogs that are standing in the grass.
'810': A book sitting on top of a table next to a glass of wine.
'811': A male skater spins in the air at a skate park.
'812': three people are standing under the arch for a ski race
'813': A bedroom with a large bed sitting next to an antique black dresser.
'814': A cat climbing on top of a shelf with a plant and a TV.
'815': A bed topped with three white pillows covered in a canopy.
'816': A woman wearing ski equipment on a snowy slope.
'817': A woman with glasses looking at herself in the mirror with a toothbrush
in her hand.
'818': A young man deletes a picture of himself in the mirror.
'819': 'Several vehicles providing ground transportation are shown in the
photo: streetcar, tourbus, classic car and family cars'
'820': A row of surfboards buried in the sand sitting next to each other.
'821': Gourmet food on a picnic table with drinks
'822': A man in uniform riding a horse by a fence
'823': A giraffe standing next to a zebra laying on the ground.
'824': 'The man is sitting on the park bench using his laptop. '
'825': A lunch box with a sandwich, carrots, feta salad and a muffin.
'826': A bunch of people are sledding and skiing at a lodge right in the
mountains.
'827': A man riding skis down a snow covered slope.
'828': A corner of a kitchen with a big fridge.
'829': Two girls are holding a huge stuffed bear near a crowd of kids.
'830': A woman with sparkling white makeup is in a salon.
'831': A dog catching a purple Frisbee in its mouth in front of a green
grass covered field.
'832': A group of men playing a holographic game with remote controllers.
'833': a number of dogs running in a field with people on a bench
'834': A man sitting at a table with a lamp in front of a plate of food.
'835': A crowd of people skiing down a snow covered mountain side.
'836': The large room has glass counters with chairs behind them on both
sides.
'837': A giraffe stands under a tree in a grassy place.
'838': A man walking up a snowy hill alone.
'839': A skier in a standing position on skies skiing downhill.
'840': 'A horse pulling a wagon with a conductor down the road. '
'841': A couple of birds flying around a bunch of waves near the ocean.
'842': A tall man is beside snow skis on a pathway.
'843': Three trophies behind snow boards in a window.
'844': two people sitting on a bench near trees
'845': A woman wearing long pants bends over a frying pan on a stove.
'846': There is a man standing near a river with a umbrella and a football.
'847': Two giraffes grazing on the green grass in an enclosure.
'848': Large made up bed in modern bedroom, with small desk.
'849': A man with a black hair and a beard wearing a top hat.
'850': the portable device is displaying a very important message.
'851': A man is patting a brown horse.
'852': A teddy bear standing in front of a pile of boxes.
'853': A group of young and older people standing around.
'854': Street markers pointing to a bench and different locations in front
of a few stores.
'855': A group of young children standing next to each other.
'856': A group of zebra and a giraffe standing next to each other.
'857': A leather-bound box of pastries is sitting on a table.
'858': A bunch of brown signs on a crooked pole.
'859': A street scene with a bicycle and a car passing by.
'860': A group of baseball players stand around their gear in the dugout.
'861': Two little bears climbing on a weathered wood chair.
'862': 'a laptop with some other electronics on top of it '
'863': A statue and a bird are sitting on a bench while a woman sits on
a cement block.
'864': A very tasty looking dish of pasta with some broccoli.
'865': Some Zebras, cattle, and goats are standing together, some eating.
'866': A vase filled with red and white flowers beside a table.
'867': A person performing on a trapeze and a man sitting on a bike.
'868': Two men camping in the woods near a river.
'869': A light-up street sign with six different locations on it.
'870': An old photo of a huge girl sitting on her dad's lap.
'871': A bathroom with blue walls and pink tile.
'872': The baby is holding and looking at his sparkly tooth brush.
'873': A woman holding a plate of cake covered in frosting.
'874': A shiny metallic refrigerator in a brown colored rustic kitchen.
'875': Two brown wolves growling at each other while laying on a log.
'876': A metal tea and bathroom set is on display.
'877': Several refrigerators are sprawled across a wall.
'878': A white with red striped bus drives down the slow lane on a freeway
surrounded by several other cars with mountains in the distance.
'879': A young girl without a video game controller in her hand.
'880': A Northumbria bus is parked in a field.
'881': A vegetarian pizza with grated parmesan is on a plate in front of
a TV.
'882': A dog is wearing a small elephant hat.
'883': Two people posing next to a giant statue and a fountain with a suitcase.
'884': A woman in a park sits on a black bench.
'885': A man standing with a racket on a court.
'886': A man in shorts is laying on the beach under the shade of palm trees.
'887': A wooden room that has two televisions in it.
'888': A woman holding her skis going down a ski hill.
'889': An art gallery with paintings and old furniture roped off to the
public.
'890': A woman playing a Wii game with other people.
'891': Several people are moving around in a public area.
'892': Two adult hands touching cell phones and a tablet together as a third
watches.
'893': Candles flicker on a wooden dining room table.
'894': A group of people looking at a painting exhibit.
'895': A uniform set of doughnuts sitting on a paper plate.
'896': A trio of zebras are running away from each other in the grass.
'897': ' A boy smiling and eating some food on a plate.'
'898': Fish eye angle view of small art gallery with fire extinguisher at
far end.
'899': a person holding a surf board in a body of water
'900': Snowy slopes with a person skiing above wires.
'901': A man and a woman standing in the snow on snowboards.
'902': A man sits on a ledge and looks at his phone.
'903': 'Two people sitting at a table eating. '
'904': A boy in a red baseball uniform running to tag out a boy in a blue
uniform.
'905': a group of people riding skis on a snowy surface
'906': A casual baseball player being watched by people.
'907': Two green/yellow bears swimming in a lake next to brown plants.
'908': two elephants in a zoo behind a wire fence
'909': Two zebras standing in line with the head of one resting on the back
of a giraffe.
'910': A dog looking out the window of a car.
'911': A room with chair, bicycle, television and a couch.
'912': An urban street with a park bench, streetlight, one way sign, and
people walking.
'913': A small compact car driving past a furniture store.
'914': A large group of people on a sidewalk with trunks and luggage behind
them.
'915': A group of people on a bust street area with one person holding a
multicolored umbrella over head.
'916': street signs on the corner of Gladys and Detroit
'917': A little powder room with a blue toilet, multicolored tile floor,
and a colorful towel.
'918': A gamer holding a controller and using a keyboard
'919': The hotdog bun is filled with carrots, mushrooms, and greens.
'920': A smiling guy sitting at a table with some food.
'921': A person being photographed beside a skateboard.
'922': Some people sit in chairs in a living room next to a window.
'923': A person holding a blackberry cell phone near their hand.
'924': Several sail boats in the water at night with fireworks lighting
up the sky.
'925': Kitchen appliances outside a building with red doors.
'926': A computer workstation with a laptop and two additional monitors.
'927': Several bookcases are lined up by a wall.
'928': An entertainment room set up with a marble table for two for coffee.
'929': Antique paintings on display, behind red velvet ropes.
'930': 'A black cat is sitting on a metal platform. '
'931': a white mug showing pirate skull and bones and a large knife on
a counter top.
'932': A white plate topped with a boiled egg next to a salad.
'933': A man and a woman holding tennis racquets on a tennis court.
'934': A large pasta dish is shown on a table, with bottles and glasses
of wine.
'935': Display for bananas with a dollar bill and euro money sign.
'936': Three teddy bears that are lying down next to each other.
'937': A herd of sheep walking across a lush green field.
'938': Several black stickers decorate a middle eastern looking briefcase.
'939': 'Man on steps with tray of grilled hot dogs on buns. '
'940': A person dropping a smart device from their left hand.
'941': A couple of people sitting beside a table.
'942': two people riding horses on a rock path
'943': A black woman with a blue surf board.
'944': A baseball player preparing to throw a pitch during a game with a
concession stand in the background.
'945': A view of a wet day with an umbrella from indoors.
'946': A pile of food sitting on top of a table next to a glass of wine.
'947': A girl in a wheel chair who is holding a baseball bat.
'948': A smudged dime sits in the middle of a group of stones.
'949': The large swan is made up of clay.
'950': A plain neck tie saying "Reel Big Fish".
'951': A boat in route with a cloudy sky behind it.
'952': A cake with cream topping on the plate.
'953': A fold out sign sitting on a sunny sidewalk.
'954': A group of singing people that are standing up outside.
'955': Two little girls standing next to each other making pizza.
'956': 'A man carrying a sheep on his shoulders. '
'957': A child is petting a sheep while another sheep watches.
'958': A blender is sitting behind a printer.
'959': A bathroom sink with a towel rack, hair dryer and a mirror.
'960': 'Some elephants walk together through the grass. '
'961': A batter, catcher and umpire in a baseball game with man recording.
'962': A slice of pizza and a salad are served on a white plate.
'963': The person has a bag and some magazines laying on the table.
'964': The woman is riding a bike led by several dogs.
'965': 'The white horse is standing beside tall plants. '
'966': A tattooed person is holding up a half eaten pastry.
'967': there is a orange street sign with a white sign underneath
'968': A dog and cat are sleeping together on a purple couch.
'969': A photo of a man and his husband on a bed.
'970': A red plate topped with broccoli, meat and veggies.
'971': A motorcycle is parked inside of a building.
'972': A herd of sheep grazing on a lush green field.
'973': Several women gathered together posing with 6 pizzas in take out
boxes.
'974': A female tennis player in a white shirt is holding her racket.
'975': 'A red skateboard with blue wheels on the floor with someones foot
on it. '
'976': A sliced pizza sitting on a table next to a soda can and a glass
of wine.
'977': Some people who are placing airplanes on a runway.
'978': A person sitting on the floor near a plate of donuts and a glass
of milk.
'979': Three different donuts and cupcakes are on the table, one donut is
pink, one is brown, and one has white sprinkles.
'980': a small child wearing a tie and holding a suitcase with other people
in the background
'981': Men in suits are holding awards while standing next to a military
man.
'982': A commercial airplane with propellers stationed on the ground next
to the airport.
'983': A large living area with a bed and some couches
'984': A group of people standing with headphones and remotes in hand.
'985': 'A room with a tv in the background and a laptop screen in the foreground '
'986': A boy asleep on a mosquito bed under a large net.
'987': 'A city bus that is traveling down a wet country road. '
'988': People stand near the curb behind a lime green single-decked bus.
'989': A coin with some portraits and a ring on the table.
'990': A young boy with a spoon looking at a birthday cupcake.
'991': A group of people wait in a red reception area.
'992': Several people are recording a performance on a cellphone of a young
boy.
'993': A girl is sitting on a concrete wall using her cell phone.
'994': A desktop without any computers and fruit on it.
'995': Two bears in the water with their mouths open growling at each other.
'996': A table with plates of sandwiches and ice cream.
'997': Frisbee in the air, a dog squatting looking up at it, and a man standing
behind the dog watching it, on the grass with a tree.
'998': Two men ride a big along a busy street.
'999': 'A young woman is skiing down the mountain slope. '
'1000': 'A bird cleans itself next to a body of water. '
'1001': A cat laying on a bed in a bedroom with wood floors.
'1002': This is an advanced toilet with a sink, control panel, and a showerhead.
'1003': A police man on a motorcycle is idle in front of a bush.
'1004': Two giraffes in a zoo enjoy a walk and a watermelon.
'1005': Animals trying to either move or go around intact tree branches.
'1006': A very tasty looking dish of chicken with some broccoli.
'1007': Two vases of fresh flowers sit beside the table.
'1008': A man offering a child a bite of a pizza slice.
'1009': Boy riding a seat board over a concrete skate.
'1010': A lady and a towel dressed in khakis standing in a bathroom next
to the sink.
'1011': Commercial airliner flying far from mast on cloudy day.
'1012': A woman sitting on a wooden bench next to a brick wall.
'1013': Two giraffes standing in line with the head of one resting on the
back of the other.
'1014': A wall with several different clocks hanging from it with a painting
next to them.
'1015': Two books are sitting on a broken wooden chair.
'1016': A young child and their grandparent smile on a scooter in an historic
photo.
'1017': People stand near the curb behind a lime green double-decked bus.
'1018': A mirror is on the dining table near the kitchen, along with a bowl
of fruit.
'1019': A table with three breadsticks and partially filled glasses of wine
and a wine bottle.
'1020': A man holding a tennis racket and lunging for a tennis ball.
'1021': A person leaning up against a plastic rail while holding a rainbow
colored umbrella.
'1022': Bride and grooms arms cutting the wedding cake with fruit on top.
'1023': A foldable bike in view in a living room with a Christmas Tree in
the background.
'1024': A herd of zebra walking across a grass covered field.
'1025': there is a small pizza that is on a white plate
'1026': Two brown bears swimming in a lake next to green and yellow plants.
'1027': A little girl sits and runs with a kite in a grassy park.
'1028': There is a small hamster on the kitchen floor.
'1029': A stop sign standing up against a wall.
'1030': a fire hydrant that has dirty, brown water inside
'1031': There are 3 male peacocks together walking around.
'1032': A pile of food sitting on top of a sofa next to a glass of wine.
'1033': A woman is typing on a wireless laptop on a wooden table.
'1034': A man holds a book and keyboard with his hands.
'1035': A clock set to twenty after three beside a field.
'1036': A woman is sitting on an old wooden bench.
'1037': A cat sits in front of a TV and watches.
'1038': Several people walking on a decorated-with-flowers sidewalk, with
one man holding an umbrella.
'1039': A man taking a picture of himself in a mirror.
'1040': Two teddy bears that are tiny sitting in a small garden.
'1041': A bronze statue with a clock tower on top on a sunny day.
'1042': a chair and a umbrella that is on a beach
'1043': A beach has a grassy area with a park beach and a volleyball net.
'1044': Leafy greens and olives on something.
'1045': Two small girls and two boys wearing blue jackets pose for a photo.
'1046': A bunch of mini bananas are hanging above a bowl of apples and oranges.
'1047': 'A girl in a hospital bed with an IV and monitors. '
'1048': A man, woman, and child are sitting on a sofa watching TV.
'1049': A blue motorcycle parked on display next to other vehicles.
'1050': 'A man with a tennis racket walks from the net of a tennis court. '
'1051': A giraffe standing in some tall grass with a bird outside.
'1052': a close up of people sitting on a public transit train
'1053': One woman carrying a cake with candles and another woman with balloons
in the background.
'1054': A man in casual clothes rides a horse down the street.
'1055': Several apples and one orange sit in a bowl.
'1056': A box of six pastries containing two strawberry doughnuts, one chocolate,
one glaze, and two glazed crullers.
'1057': A man looks at a cart full of bananas and grapefruits.
'1058': A man with his luggage at a train station.
'1059': Two women and a child have stopped to pet the sheep.
'1060': An adult black bear let's his long tongue protrude.
'1061': A woman standing next to a brown and white dog and holding a red
umbrella.
'1062': A light filled netted bed in a green bedroom.
'1063': A man in black shirt and yellow shorts playing a game of tennis.
'1064': A street sign that reads Sparta is far from a tall building.
'1065': Single sheep in a field looking back at camera.
'1066': A trolley that is being pulled by a brown horse.
'1067': A man lying on a beach by a person with a kite.
'1068': This bedroom has pink tiles in the shower and is painted blue.
'1069': An upside-down stop sign and a bicycle on a street corner.
'1070': A woman holding a racquet on top of a tennis court.
'1071': A person is sitting with their fluffy dog watching tv.
'1072': Two giraffes at the zoo eating some grass.
'1073': Two people standing next to each other on a ski slope.
'1074': The young man is kissing the blonde young woman on top of her head.
'1075': two big stuffed bears sitting behind a chained fenced
'1076': A food that is topped with strawberries, bananas, and a brown sauce.
'1077': A woman standing in a shopping mall while using a cell phone.
'1078': A Zebra is running next to another Zebra.
'1079': Three mugs are on the kitchen counter of a stove.
'1080': A green bowl of many large white apples.
'1081': Cars are parked on the street near an old building.
'1082': A woman holding a dog wearing a costume in her arms.
'1083': A black and brown dog wearing a chain around it's neck.
'1084': A BMX bike and rider in the air doing tricks.
'1085': A teddy bear that appears to be made out of metal and wood.
'1086': A huge Fed Ex truck with three different containers and a motorcycle
that the truck is pulling.
'1087': 'a man watches as a dig looks at a toy in the air '
'1088': Several men attempt to fly a kite on a beach.
'1089': a black woman standing over a bushel of yellow bananas
'1090': An old man reading a book on a park bench.
'1091': The man is walking a group of dogs.
'1092': A table is set with pizza and beer and a salad.
'1093': a coin meter that has paint all over it
'1094': A woman in blue sweater holding two cellphones while taking off
her headphones.
'1095': Several vases of pottery in the process of being painted.
'1096': A group of giraffes that are standing in the grass.
'1097': A bunch of sheep are running through the field excitedly.
'1098': Two men on a motorcycle are waving at a man.
'1099': There is a small glass vase and a book on the table, with purple
flowers in the vase.
'1100': A young woman with sheep above a straw covered floor.
'1101': A green stop sign with a red street sign posted above it.
'1102': Black and white photograph of women on an old park bench with an
umbrella.
'1103': A clock tower on top of a tall historic building with a flag pole.
'1104': A desolate street scene with a car passing by.
'1105': A couple fighting each other over a wii remote control
'1106': Two birds are flying close together in the sky.
'1107': A mouse, keyboard, and a monitor on a desk.
'1108': A couple of monitors are next to a desk.
'1109': A living room with brown, leather furniture and a red wall
'1110': A group of giraffes walking away from trees.
'1111': A toilet that is made of material with sparkles.
'1112': Two vases of dried flowers sit on top of the table.
'1113': A black cat that is sitting beside a sink.
'1114': Street signs on the corner of Gladys and Chicago.
'1115': A brown and black cow standing in front of an iron fence.
'1116': A tennis player trying to hit a tennis ball.
'1117': Clear water is coming out from a water hose.
'1118': People using non-electronic devises all facing in the same direction.
'1119': A sign with teddy bears on it is advertising a tea room.
'1120': A red bench that is sitting next to a trash can on a sidewalk.
'1121': Women are standing on the street behind a barrier, using their cell
phones.
'1122': A plate topped with noodles and a fork.
'1123': Men wash a motorcycle while girls look on.
'1124': A black and white photo of a group of kids.
'1125': A red fire hydrant embedded in a decorated city sidewalk.
'1126': A kite surfer is out of the picture frame while his kite gets high
in the air.
'1127': A girl in a green shirt stands by a man holding a piece of cake
on a plate.
'1128': A plate of vegetables, chicken, and white rice.
'1129': Three Jack-O-Laturns of various shapes, one of which has flowers
in it.
'1130': A dog laying on a bed in a bedroom with wood floors.
'1131': A cat and a dog rest together on a hideous orange couch next to
a lamp.
'1132': A teddy bear is sitting behind a group of boxes.
'1133': A man sitting in front of the Eiffel tower near pigeons.
'1134': A man in a defensive stance with a tennis racquet that has a leather
grip.
'1135': A black and white photo of children standing and posing for a photo.
'1136': A blonde pregnant woman in bed reading a book.
'1137': A lake with a lot of boats beside it.
'1138': A person holding a piece of food in front of a cafe.
'1139': A two door, stainless steel refrigerator next to a wine cabinet.
'1140': A woman is miming punching a giraffe statue.
'1141': Two men in a room with one of them holding a cake.
'1142': Two birds walking down the road in the daytime.
'1143': A group of men sitting on motorcycles watching a show on stage.
'1144': A red truck sitting on a grassy field next to other trucks.
'1145': A white plane flies in the clear sky.
'1146': A hotel room with one bed, a blue chair, and a plant.
'1147': A group of women wearing hats while standing at a dessert table.
'1148': A man on a canoe paddling through a calm lake.
'1149': A cup and a plant sit on the edge of a white tub in a bathroom.
'1150': Some kind of chicken, rice, and soup on a pizza tray are being served
to a man alongside a vegetable dish.
'1151': A newly married couple cutting a piece of their wedding cake.
'1152': A group of girls in a dugout with their gear.
'1153': A low flying helicopter over a parked silver van.
'1154': 'A big and white horse in a dirt cage. '
'1155': Cows are lounging in a wet pasture with birds.
'1156': A man and a child are standing with rackets on a court.
'1157': A young man riding on a surf board on an ocean wave.
'1158': There are two slices of bagel on a paper plate.
'1159': A boy making a face while running to get his glittery kite in the
air.
'1160': A white and brown cat laying on an orange cat in a bed.
'1161': An umbrella and a chair on a backyard patio are upturned from the
wind.
'1162': A brown, white, and black bear and an otter are playing near some
trees.
'1163': 'a bunch of people on motor scooters riding on a street '
'1164': An airplane with wheels wheels barely off ground tilted slightly
upward from the pavement to the blue sky.
'1165': A blue padded hallway next to a bedroom doorway and a chair.
'1166': A skier is sitting on a small ledge in the snow.
'1167': Two signs with arrows and a man walking on the sidewalk.
'1168': A white sink with a black cabinet next to it.
'1169': A close up of a plate of food above a carpeted floor.
'1170': 'A woman waiting on a bench on the sidewalk as people go by. '
'1171': A sculpture of a toilet made from woven wood and a clock are on
display.
'1172': Two monkeys are sitting on some tree branches.
'1173': A kitchen and dining area decorated in white.
'1174': A plate of fresh pizza and salad.
'1175': A corner outside of a rest room with a cookie and coffee.
'1176': A broken wooden chair is sitting on two stuffed animals.
'1177': Multiple pictures of fruit and desserts for eating.
'1178': View of a very messy bedroom with boxes, bags, and a desk covering
the floor.
'1179': Three women that are standing in front of a table.
'1180': A dinner plate that has white steamed rice with stir fry vegetables
and tofu.
'1181': 6 women gathered together posing with several pizzas in take out
boxes.
'1182': A brindle small dog with a chain collar looking at another dog.
'1183': A man is standing on a snowy hills with his skiis.
'1184': A sandwich next to a bowl of metal sauce on top of a dipping tray.
'1185': A man is standing straight while opening an oven.
'1186': a couple and their small baby girl are sitting on a bench
'1187': This is a tomato carrot soup with a lot of broth.
'1188': A picture of some people by the beach.
'1189': A woman sits on a bench with an umbrella as people walk down a sidewalk.
'1190': A bookshelf in front of a small television.
'1191': A living room with purple colored walls, and an orange chair.
'1192': One tray of rice and a tray of fruits and veggies.
'1193': A number of horses and dogs are running in a field with people on
a bench.
'1194': a black and white photo of children siting posing for a photo
'1195': A car is seen through the rain soaked window and an umbrella is
leaning against the wall.
'1196': A man in a green shirt with a cellphone and a book reflecting in
a mirror.
'1197': A yellow truck is next to high grass.
'1198': A cat sitting near a tree and several birds on a fence post.
'1199': A big dog next to a person's leg and a ball.
'1200': a man is carving into a cake covered in fruit
'1201': A woman holding a tennis racket and ball as if to start a serve.
'1202': Two elephants nudging over a pole in a forested area.
'1203': This is a little girl sitting in an airport.
'1204': Two pink flowers in oddly shaped wood vase.
'1205': A car driving in an intersection, toward a furniture shop.
'1206': A young girl who is flossing her teeth with dental floss.
'1207': A table with several dishes beside it with a television.
'1208': A stuffed animal sitting in front of a tooth brush.
'1209': Four bowls of snacks of fruits and crackers.
'1210': A man is at bat ready is playing baseball while a woman watches.
'1211': 'some people sitting behind a line of motorcycles '
'1212': A calico cat is sitting on the roof of a car in the daytime.
'1213': Two formally dressed elderly guys are crossing the street.
'1214': Three zebras standing next to each other on a green meadow.
'1215': 'A lot of carrots on a wood board for sale. '
'1216': The small herd of sheep are grazing near a pond in the grassy field.
'1217': A parking meter with a sidewalk, fence, and bench in the background.
'1218': A kitchen with a sink, stove and some boxes on the counter.
'1219': a little girl is running on the grass with a kite
'1220': A black cat lying on a brown suitcase.
'1221': There are two slices of pizza on a paper plate and a glass of soda.
'1222': A woman sitting at a table in front of a pile of luggage
'1223': A clean bathroom with mirrors, sinks, and a toilet.
'1224': A food that is topped with berries and a brown sauce.
'1225': A couple of people and a child are sitting next to piles of fruit.
'1226': A Superman toy is lying face down on the table next to a full plate
of food.
'1227': A man standing at the edge of a beach holding up his tattooed hand.
'1228': A pregnant woman is in a canopy bed reading a large book.
'1229': A group of people are playing wii in the living room
'1230': A man snowboarding in the snow with snow covered trees in the background.
'1231': A box that has doughnuts inside of it.
'1232': A black and white cat laying on top of a bag of luggage.
'1233': a man holding his cell phone up in a crowd
'1234': 'A view of several billboards and two traffic signs on one pole. '
'1235': A metallic refrigerator freezer next to a wooden counter.
'1236': A man wearing a black shirt and tie standing in a room.
'1237': A group of people playing with interactive gaming units.
'1238': Two stuffed teddy bears sitting on a wooden chair in a yard.
'1239': Some people and parrots are sitting behind a line of motorcycles.
'1240': 'A man sitting on the park bench in the forest '
'1241': A hotel suite with a balcony overlooking the scenery and a swimming
pool.
'1242': A pan is filled with shrimp, peppers, diced sausage, and broccoli.
'1243': A man taking a photo with his right hand and eating food with his
left hand.
'1244': The two young girls are feeding the two goats.
'1245': Two men on surfboards with a person swimming behind them.
'1246': A baseball player holding a bat as a glowing ball approaches.
'1247': Truck viewed from the back with vans and trucks visible in the background
of the image.
'1248': A man, young girl, and monkey are surrounded by various fruits.
'1249': A blue fire hydrant posed on a street corner in a city.
'1250': A red Dodge truck is driving away from another Dodge.
'1251': some baseball players are playing baseball on a field
'1252': A person walking near a stop sign in a residential neighborhood.
'1253': A large brown dog and a raccoon are standing on the side of a white
wood fence.
'1254': Women in fancy hats conversing at a candle lit table.
'1255': A table with plates of sandwiches and fruit.
'1256': A group of boys in suits pointing to a chalkboard.
'1257': 'A bathroom with orange decorated wallpaper and a mirror. '
'1258': A red and black BNSF train travels along it's tracks.
'1259': A makeshift bedroom is decorated in plastic, wooden picture frames,
and cardboard.
'1260': Young boy posing in front of a flying kite in the park
'1261': There is a group of cows grazing on the grass in the field.
'1262': A pregnant woman is in bed reading a small book.
'1263': A man walking with an umbrella and a bike near a railing above a
river.
'1264': A man is sitting near a prominent landmark.
'1265': A herd of gazelle standing next to each other against a stone wall.
'1266': Two black and white pictures of a baseball player and a coach.
'1267': Two white bears swimming together in the water.
'1268': A beach with two motorcycles ridden by people.
'1269': A Man skis using a sail in open snow-packed field.
'1270': A woman and a potted plant sit on a ledge while she looks at her
phone.
'1271': A crystal table topped with a cake covered in berries next to a
plate of sandwiches.
'1272': A man wearing glasses eating a glazed donut out of doors.
'1273': A bride and bridesmaid are cutting a cake as they smile.
'1274': A person holding a piece of food behind a sign.
'1275': A bike leaning against the side of a building.
'1276': A person is laying on their back in a bathtub in a bathroom.
'1277': There are a bunch of people downhill skiing.
'1278': A red bus driving down a street next to a tall building.
'1279': A picture of a man wearing a suit, hat, and sunglasses.
'1280': A kite flying around a park with a child and two men near it.
'1281': Two black dogs on a couch sleeping peacefully.
'1282': A man, his arm across the woman next to him, stands in a blandly
colored kitchen area, in front of a white-framed window, next to a counter
with a microwave, plates, with and without food, and wine bottles.
'1283': A plate with a banana and slices of cheese.
'1284': A small toy is sitting on a plate of pizza next to a teapot.
'1285': A woman posing for a picture on a sunny day.
'1286': A monkey or bear in a controlled area doing something with balls.
'1287': A dog jumping out of the window of a car.
'1288': 'A kitchen with black appliances and open cupboards sits empty. '
'1289': Several suit cases lined in rows with luggage tags on them.
'1290': A desk with a treadmill and a Cecil Cooper bobble head.
'1291': A very clean and cozy looking kitchen with a sunflower that could
be in a home magazine.
'1292': Three people are in a small boat in a lake and one woman holds a
red and yellow umbrella.
'1293': The person is looking in the refrigerator while the cat sleeps nearby.
'1294': A group of zebras laying next to some trees.
'1295': Two burgers are sandwiched between two slices of bread.
'1296': Two girls and a boy are holding a huge stuffed bear near a crowd
of kids.
'1297': A bathroom cat is sitting in a black sink.
'1298': A bare living room without any furniture or decorations.
'1299': Giraffe and zebra grazing in a field next to plants.
'1300': Some planes are flying over an airport runway.
'1301': An airplane is flying above the tarp.
'1302': A vase of flowers and candlesticks are on a dining table.
'1303': There is some salmon and broccoli with garlic on this plate.
'1304': a cat that is looking out the window
'1305': A truck is sitting in the middle of a wooded area.
'1306': A cat sleeps underneath a bed with a plaid bedspread in front of
a bookshelf.
'1307': A woman in a blue dress poses on a weird chair
'1308': A cat is sitting inside of a bathroom sink.
'1309': The new boat on display is very shiny.
'1310': A white horse is galloping in a riding field.
'1311': A couple of men and a child are in front of a television with a
remote.
'1312': A group of people using their telephones and holding balloons on
a subway car.
'1313': Buses and cars on beach road going both ways.
'1314': The boy and girl are making pizzas together.
'1315': A bathroom with toys and gadgets for young children.
'1316': A dairy cow sticking its tongue out from inside its stall.
'1317': A woman in a green shirt is taking a picture with her cell phone.
'1318': A large metal chair with a brown teddy bear beside it.
'1319': A man holding a stick standing next to a green hillside covered
in wildflowers.
'1320': A little girl eating ice cream and a slice of pizza in a room.
'1321': A woman in white shirt and black shorts playing tennis.
'1322': A school bus in the street behind other cars.
'1323': A group of baseball players sit with their gear in the dugout.
'1324': A sandwich is shown with various toppings on it.
'1325': A person holding an older model of a smart phone.
'1326': There is a plate filled with pastries next to a keyboard.
'1327': A dog sticks his head out of a car window.
'1328': A group of people on sleds and skis are racing across a snow covered
slope.
'1329': Two large bears fighting or playing in water.
'1330': A large hot dog on a plate.
'1331': A black cat is sitting in a bathroom sink.
'1332': A black dog with a grey collar sits outside in the sun.
'1333': Looking up at a clock tower with a weather vane
'1334': Firewood stands in a paddock with a black and white cow in the background.
'1335': A metal shelving unit has a vase and blue cups on it.
'1336': The tennis player is walking on the clay court.
'1337': A black snake that is sitting in a sink.
'1338': An old woman is wearing an odd hat.
'1339': Three people ride on the back of an elephant
'1340': A tall clock tower with bushes and trees behind it.
'1341': a donut with an ornate coffee cup and a napkin holder.
'1342': Two books sitting on top of a desk.
'1343': A couple sit at a table with cake.
'1344': A quarter is next to some rocks with holes.
'1345': A man, woman, and child are standing next to each other.
'1346': A sign on a sidewalk has a teddy bear and a balloon on it.
'1347': A woman jogging beside a street talking on a cell phone.
'1348': Bananas are sitting on the stand outside in a bunch.
'1349': A boy playing baseball and a person playing guitar are in a park.
'1350': A guy standing on a snowboard with ski poles in the snow.
'1351': The young man is kissing the young woman on top of her head.
'1352': A cargo van with a chip sign is parked in the lot.
'1353': An elephant is running through the green shrubs.
'1354': A cat perches next to an entertainment center in front of a TV.
'1355': Some kids playing with a ball and some large checkerboards painted
on the ground.
'1356': A wooden table with miniature bananas next to a Malaysian coin from
2009.
'1357': Camera equipment is set up in a room with artwork in the background.
'1358': A blue object is flying through the colorful sky.
'1359': A patty, with frosting on it, in the middle.
'1360': A dancing man taking a picture of himself in a mirror.
'1361': People and a robot are standing around playing a video game.
'1362': A graffiti covered wall, a parking meter, and a flagpole are seen
in this image.
'1363': A person on a skateboard does a flip near a tree in a parking lot.
'1364': Cows and ponies are eating hay in the barn
'1365': A blue bird sitting on top of a bowl of seed.
'1366': A woman standing at a kitchen counter pouring something from a measuring
cup.
'1367': a brown black and white dog wearing a helmet and a black scooter
'1368': A man in black shirt standing in field with baseball mitt.
'1369': A man looking over an open digital clock.
'1370': A couple of white bathroom sinks sitting next to an auto clean toilet.
'1371': There are two large dogs sleeping on the leather couch.
'1372': 'A new husband and wife feeding each other wedding cake as a photographer
takes pictures. '
'1373': The over ripe bananas are hanging from baskets on a stand.
'1374': A group of baseball players standing next to each other on top of
a field.
'1375': A room with two velvet sofas and a fireplace.
'1376': A green evening with a dusky street light shining.
'1377': A blue bird is flying around a bowl of seed.
'1378': A tennis player taking a swing at a ball
'1379': The banana is laying next to an almost empty bowl.
'1380': A left-handed tennis player hits a high ball in front of an audience.
'1381': An orange train engine moves down the track with one train car behind
it.
'1382': A white car parked on a street in the rain.
'1383': A man eats from a green dish while holding a handheld radio.
'1384': A young girl standing in front of a plate of food.
'1385': There is a red hydrant next to a fire sign.
'1386': A man holding a microphone in one hand while he holds a skateboard
on his back.
'1387': A public fire hydrant is next to a red water fountain.
'1388': A vase of purple flowers sits on a bathroom countertop.
'1389': Two men and a woman riding on the back of an elephant.
'1390': Two people posing leaning against a giant statue with a suit case.
'1391': Three llamas standing at a watering hole with birds flying overhead.
'1392': There are women that are frowning under the umbrella.
'1393': A brightly decorated bedroom with a stylish feel.
'1394': A couple holding a large teddy bear.
'1395': People are waiting for the bus with umbrellas and suitcases.
'1396': Several cars are driving through a city.
'1397': A plain public restroom without any decorations or colors.
'1398': A sheep stands idly at the edge of a field
'1399': A man is walking down a snowy field.
'1400': A stop sign with paper with red writing on top of it.
'1401': A large screen showing an animal wearing a suit.
'1402': An old woman leans on her back while sitting on an ornate bench.
'1403': A couple of dishes are sitting on a stove and a microwave.
'1404': A shod woman sitting in a chair relaxing.
'1405': A man eats a sliced apple with one of his friends.
'1406': A black horse stands over a light colored dog.
'1407': A curve in a city road with a bus following a car and people waiting
on the side.
'1408': A helmet and the front end of a red motorcycle are on display.
'1409': Fruits and vegetables on top of a table topped with a white plate.
'1410': A person eating pasta and salad at a table.
'1411': A woman of Asian heritage drinking two cups of hot beverages at
a table with a sandwich.
'1412': A man and woman lying on a couch playing a video game.
'1413': A woman touching her skis going down a ski hill with a chairlift
in the background.
'1414': A person on a surf board riding a wave with a dolphin.
'1415': a big black and white cow standing next to a pole
'1416': A bus stopping at a curvy road behind a black car.
'1417': A white pizza sitting on top of cheese paper and a large plate.
'1418': A bride and groom smashing a wedding cake.
'1419': A white plate topped with broccoli and a dumpling.
'1420': A living room with a big couch next to a book shelf.
'1421': Two zebra having a fight on top of a dry grass field.
'1422': A bowl topped with noodles and a fork.
'1423': A whole pizza sitting on a table next to a glass of water and a
glass of wine.
'1424': A woman with a tennis racquet that is on a tennis court.
'1425': Three giraffe and some flamingos are drinking from a pond with brush
in the back.
'1426': A man wearing a blue coat holds a furry animal in his arms.
'1427': A row of surfboards leaned up against a wood rail next to palm trees
on the sand.
'1428': A hand adding a cherry to some small tarts and macarons.
'1429': A Northumbria bus is moving towards a field.
'1430': A group of people on skis at a peak of a mountain.
'1431': Two small birds walking on a sidewalk next to flowers of grass.
'1432': A man uses his computer under an umbrella on a park bench.
'1433': A sheep standing up against the side of a house covered in brownish
grass.
'1434': a polar bear pokes his head and one paw out of the water
'1435': A giraffe standing in a grassy field by a woods.
'1436': A man is walking in skies in front of an igloo in the snow.
'1437': Two dishes of food and several blue arrows.
'1438': A cat is sleeping next to a white toilet.
'1439': A little league team wears orange shirts and blue shoes.
'1440': A kitchen with a vintage gas range, yellow walls, and a chandelier
hanging from the ceiling.
'1441': A grey and black plane on a runway with trees in the background.
'1442': A man walking his dog down a sidewalk.
'1443': A street scene with motorcycles parked along the side of the road
with people walking past.
'1444': A man with a white shirt and a coffee mug is sitting at a laptop
in a bedroom.
'1445': A graffiti-covered cargo van with a chip sign is parked in the lot.
'1446': A sheep with its mouth closed in a pen.
'1447': some people and a woman in a pink shirt and a yellow frisbee
'1448': A guy holding a skate board is speaking into a microphone.
'1449': Street signs and traffic lights on a city street
'1450': A white cat is sitting in a bathroom sink.
'1451': A man gazes at an intricately designed clock with arabic numerals.
'1452': A woman in black shirt and skirt is watching a game of tennis.
'1453': A giraffe drinking water while the rest of the herd is walking in
dry grass.
'1454': A couple of people are sitting around a table next to a fountain.
'1455': Three yellow bananas sitting on a shelf.
'1456': Two baseball players standing next to a wall on a baseball field.
'1457': A bowl on a wooden table full of bread.
'1458': Several cross country skiers traveling through the snow.
'1459': A woman with her guitar and luggage at a train station.
'1460': A pair of black shoes sitting behind a dog.
'1461': Bicycles are parked on the street near an old building.
'1462': 'A man in white shorts jumping in the air to catch a green Frisbee. '
'1463': A man and woman and child pose for a picture together.
'1464': A donut with a cup of coffee and a minimalist napkin holder.
'1465': Several people and a snowman are standing in the snow near trees.
'1466': City bus stopped, taking on passengers, at night.
'1467': A boy with sunglasses on holding a pizza box open.
'1468': A man standing next to a woman in a colorful dress.
'1469': The wooden park benches are stripped of paint.
'1470': A dog or bear in a controlled area doing something with balls.
'1471': A slice of pizza beside a napkin.
'1472': A woman working with a pair of scissors and a lighter as she makes
cigars.
'1473': A cat sleeps on a bed with a plaid bedspread in front of a bookshelf.
'1474': A blue motorcycle is displayed in a showroom.
'1475': Trade show visitors and workers in a vendor booth.
'1476': The grandmother smiles brightly while being handed a pink umbrella.
'1477': A pregnant woman laying in bed reading a book with a lamp on the
nightstand.
'1478': A home bar with cocktail glasses under a large decorative sign saying,
"PUB".
'1479': A man, a cat, and a dog are looking inside a fridge.
'1480': Two brown bears playing open mouthed among water lilies in a pond.
'1481': A lunch bowl with bread, apple, tomato, and egg.
'1482': People standing with their luggage on a train platform.
'1483': A large laptop computer with a Windows mouse.
'1484': A woman is dropping a piece of pizza from her mouth.
'1485': A small dog with a chain collar looking at another dog.
'1486': Several different opened umbrellas all located far from each other.
'1487': A man wearing a gray vest and a red stripe tie.
'1488': A dog and a cat curled up together on a couch.
'1489': A person frying some kind of food on a stove.
'1490': A row of spiky plants growing in the ground by a building.
'1491': 'A teddy bear with a giant heart sits inside a green bin. '
'1492': The puppy is pawing its own image while gazing into the hand mirror.
'1493': An airplane is positioned in front of an antique red car.
'1494': A person's hand putting down an inactive smartphone.
'1495': A large white and beige cat stands near a television.
'1496': A number of red and green traffic lights on a wide highway.
'1497': A clock that is surrounded by tall grass and a fountain in a park.
'1498': Street signs and traffic lights beside a city street.
'1499': Two vases filled with candles and flowers on a table.
'1500': 'A train pulls up along some buildings. '
'1501': Bull eating grass while a cow watches nearby.
'1502': A bunch of bananas in a metal bowl.
'1503': A coin with a portrait and some rings on the table
'1504': A boy holding a kite while standing on a cracked sidewalk.
'1505': A woman getting food off of a table, with a purple sweater on.
'1506': some frosted cakes with little decorations on top in a display case
for sale
'1507': A view from the inside of a train from a side window.
'1508': Two big bears and some fishes are fighting in the water with one
another.
'1509': A teddy bear sitting on a blue chair.
'1510': there is a black notebook on a yellow desk.
'1511': Scissors with orange handles are separated from a container with
pens.
'1512': They are going to serve pizza for lunch today.
'1513': A group of girls in uniform show something on their cell phone to
a woman.
'1514': Two paintings of fresh flowers sit on top of the table.
'1515': A polar bear pokes a seal and one paw out of the water.
'1516': A sign beside a sidewalk has a teddy bear on it.
'1517': A man wearing black skiing down a slope.
'1518': The women are playing a board game together.
'1519': 'Three stuffed teddy bears are set on a toy picnic scene. '
'1520': People sit on a bench as a woman walks down a sidewalk.
'1521': An older man downhill skiing down a slope.
'1522': Male tennis player on the middle of the court.
'1523': The small squirrel is climbing on a boulder.
'1524': A single slice of pizza with ham slices and pineapple chunks on
it on a plate.
'1525': A table topped with three plates covered in white donuts.
'1526': A skier makes his way up a rocky hill, eschewing the lift.
'1527': A bowl full of marshmallows, fizzy chocolate, and other delicious
treats.
'1528': A computer keyboard sitting next to a mouse on a wooden table.
'1529': An empty plate with a spoon and a fork is shown in between two children.
'1530': Reading materials are stowed above a zebra themed bed for relaxation.
'1531': A black and brown dog and a parrot wearing a chain around their
necks.
'1532': A street sign in front of a skyscraper
'1533': 'a stop sign put upside down on a metal pole '
'1534': A man standing in a room taking a selfie in a mirror.
'1535': A black and white photo of a desk with a keyboard and monitor.
'1536': A green traffic light suspended above a street.
'1537': A man sitting on the swing set in the forest.
'1538': A living room with a fireplace and frosted slider doors.
'1539': Clock tower on top of a building outside on a sunny day.
'1540': A man flying a kite above a tall building in a cloudy blue sky.
'1541': A vase with various flowers beside a display case.
'1542': A girl takes a bite of her pepperoni pizza and holds an ice cream
cone in her other hand.
'1543': A stop sign has been placed upside-down in the grass beside a bench
and a building.
'1544': A large hot air balloon parked next to a domed tower.
'1545': A serious child is holding video game controllers.
'1546': A young girl with a green jacket eating a piece of pepperoni pizza.
'1547': A man is at a marble kitchen counter by a dog.
'1548': A dog is in the ocean waves near his surfboard with a man on it.
'1549': A herd of sheep and a horse are grazing in a green field.
'1550': A young boy with a gold shirt is on a purple skateboard.
'1551': A plaster external wall with multiple old paper images and paintings
attached.
'1552': A graffiti covered wall and parking meter are seen in this image.
'1553': A wooden wall urinal in a stall with an auto sensor flushing system.
'1554': People fill a mall under a cloudy sky while kites pepper the sky.
'1555': A man with a baseball jersey holding a blue bat.
'1556': A man behind a jacket is standing near a giant TV.
'1557': A tan toilet and sink combination in a small room.
'1558': A herd of giraffe are grazing on tall dry grass.
'1559': A man serving food from a table with the arm of woman around his
chest and a chair next to them.
'1560': Dimly lit antique living room furniture on display, behind red velvet
ropes.
'1561': Commercial airliner flying near mast on cloudy day.
'1562': Two little bears sitting on a weathered wood chair.
'1563': Three yellow bananas and an orange sitting inside of a basket.
'1564': An older woman riding a train while sitting under it's window.
'1565': A single cake is sitting on the counter.
'1566': Two people are playing in sand with a frisbee and a beach ball.
'1567': Two adult men stands with a group of little league baseball players
for a group photo
'1568': Some soccer players are playing soccer on a field.
'1569': People standing with their luggage beside a train platform.
'1570': 'a bathroom with two sinks near towel and soap dispensers '
'1571': A cluttered room with burgundy and floral furniture.
'1572': 'a woman in a black jacket and a pizza '
'1573': A tennis player poses, racket in his left hand, right arm behind
him.
'1574': A toilet and a bathtub in a bathroom with a cat next to it
'1575': A man is right behind a cow on green grass.
'1576': A black bed in a bedroom next to a table on a lamp.
'1577': A boy is sitting at the top of a jump with his skateboard.
'1578': A green traffic light suspended above a street with a bench on the
side.
'1579': A large jet airplane parked next to a domed tower and a ferris wheel.
'1580': A sidewalk next to the outdoor sitting area of a restaurant.
'1581': A toilet with a teddy bear sitting beside the seat.
'1582': A stop sign in front of two buildings on a street.
'1583': A kitchen darkened by a power outage.
'1584': A man with blue jersey holding a baseball bat.
'1585': A curly-haired young girl standing in front of a plate of food.
'1586': A close-up of a table with three boxes of sushi.
'1587': Someone is cooking a meat stir fry for dinner.
'1588': A ground of people sitting around a table clinking wine glasses
together.
'1589': A flower vase sits on a table top.
'1590': Two bears that are standing in the water.
'1591': A caravan is parked in a field.
'1592': A little boy with a blue blanket and a remote control sitting on
a couch.
'1593': A lonely zebra stands by a rock wall.
'1594': Two laptops,computer,keyboard and other electrical gadgets are on
the table.
'1595': A group of zebra standing next to each other.
'1596': A white toilet sitting in a bathroom next to a tiled wall.
'1597': A white sink placed in the middle of a constructed kitchen.
'1598': A guy inside a car taking a picture through the mirror at the beach.
'1599': A cat standing in front of a tv on a tv stand.
'1600': A kid beside a bed with dozens of photos on the wall behind him.
'1601': A chicken curry with two kinds of crackers on the side.
'1602': Small red plane flying next to motorcycle rider in urban area.
'1603': A man and a woman are sitting in a bed.
'1604': A baseball player lunges and reaches back with the ball.
'1605': A man in shirt and tie standing in lobby next to other people.
'1606': Black and White cat laying down in dead leaves.
'1607': A table topped with a white plate next to three donuts.
'1608': A traffic light on a metal pole by a tree.
'1609': A couple of people standing next to a large bus.
'1610': A man lighting a cigarette as he walks on a city street.
'1611': a big sandwich on a small gold plate with a bowl of broth on the
side.
'1612': A cat standing next to a closed refrigerator door.
'1613': A TV above a bathroom mirror next to sinks.
'1614': A woman standing in front of a fruit stand containing several bunches
of bananas.
'1615': A pink umbrella sitting outside of a colorful building.
'1616': A display of several elaborately decorated pink and white layered
cakes.
'1617': A smaller giraffe looks at a larger giraffe looking over a fence.
'1618': A picture of some balloons and birds are flying around in the air.
'1619': A living room without a fireplace and only a table and chair.
'1620': Horses are grazing in a wet pasture with birds.
'1621': A bearded man and woman standing side by side in a kitchen next
to a window.
'1622': The goalkeeper in orange grabs the ball among a group of children
playing soccer.
'1623': A man hitting a tennis ball on a court.
'1624': A group of cows and a rooster are standing on top of a shore near
water.
'1625': A man, a woman, and a child are posing for a picture in a kitchen.
'1626': A beautiful woman standing next to a man in a short blue skirt facing
the crowd.
'1627': A two-doored doctor's office with old windows and curtains.
'1628': There is a stuffed animal sitting on the decorated toilet.
'1629': A couple of windows sitting inside of a room.
'1630': A herd of animals running through a dry grass field.
'1631': A herd of sheep are running across a green field.
'1632': A little boy running in a field below a kite.
'1633': A man lying down in a chair with a cat and a laptop.
'1634': A kitten on a bad with its arm stretched out toward the camera
'1635': A man holding an umbrella and a ball while standing next to a gate.
'1636': Zebras and striped giraffes together in a zoo cage.
'1637': A box of pastries and a tea pot are sitting on a table.
'1638': A man putting down an umbrella next to a waterway.
'1639': Several museum displays of baseball uniforms and bats.
'1640': Several skiers and sleds glide down a hilly landscape covered in
snow.
'1641': A woman riding a purple motorcycle with a side car.
'1642': Two laptops are sitting side by side on the table.
'1643': LOTS OF BROKEN TOILETS SITTING OUT ON A LAWN
'1644': An old man takes a picture of himself in the mirror.
'1645': A man in gray shirt and white pants walks toward a grassy area as
kids in baseball uniforms and an umpire are near him.
'1646': A blue and yellow fire hydrant sitting on the sidewalk next to a
flower planter on a quiet street.
'1647': An upscale living area containing brown and glass furniture with
white accents.
'1648': A grandparent holding a baby toothbrush in their hand looking at
it.
'1649': A woman in green shirt with cellphone reflecting in a mirror.
'1650': A close up view of a very big pretty city bus.
'1651': A green street sign handing from a black pole with a building in
the background
'1652': Three sausages in buns are covered with various toppings.
'1653': A large white cat laying underneath a bed.
'1654': A teddy bear is next to a goldfish toy.
'1655': Food items displayed such as coffee cake, a pastry and a beverage
in a glass cup.
'1656': Two toy vehicles, a police box, and a fire hydrant are set up in
a street scene.
'1657': A bunch of bikers and drummers are gathered on a city street.
'1658': Giraffes leaning down to drink at a lush watering hole.
'1659': A cute girl in pink is playing a video game.
'1660': A group of teddy bears leaning against a row of movies and toy cars.
'1661': Skiers wait to take a snowy lift up a hill.
'1662': Eight muffins sitting on a white serving tray.
'1663': A younger man is sitting on the bus above a movie advertisement.
'1664': A person petting the head of a cute sheared sheep.
'1665': A grassy hill side with some sleeping animals in the distance.
'1666': A display of a momma bear, her cub, and a fox.
'1667': A desk with two computer monitors, two mice, a lamp, a cup and a
keyboard on it.
'1668': A black sled leaning against a bed.
'1669': A vase with flowers next to a display near a wall.
'1670': two soccer teams going after the soccer ball
'1671': A woman in black shirt and white shorts on a tennis court.
'1672': A photo of a video game is in the middle of a large mirror in a
bathroom with a plant.
'1673': A group of guys in a crumbling dugout with their gear.
'1674': A large clock fixed to a building as vehicles pass by.
'1675': A pen and a charger are sitting on top of a laptop.
'1676': 'Some children look at two giraffes in an enclosure. '
'1677': A pack of men herding two elephants across a field.
'1678': People playing a game on green grass in front of a building.
'1679': A man sitting in front of a clock.
'1680': A street sign behind a skyscraper.
'1681': A ceramic pitcher with purple iris's sitting next to a vase.
'1682': Hot dog on a roll with cheese, onions, and herbs.
'1683': A pan filled with mystery goo next to a bowl.
'1684': A smiling man and a very cute small girl are standing next to each
other.
'1685': A left-handed baseball player holding a bat next to home plate.
'1686': A young boy flying a colorful kite on top of a sidewalk.
'1687': Many small children are posing together in the black and white photo
and a painting is hanging on the wall behind them.
'1688': a man is riding a surfboard at the beach
'1689': One woman and two men pose for a picture.
'1690': A laptop computer lying on top of a white desk.
'1691': A train on top of an underpass bridge set of train tracks with fields
on both side.
'1692': One orange train car moves down the track with a train engine behind
it.
'1693': There is a phone next to a calculator.
'1694': A group of people standing near the scooters and motorcycles on
the street.
'1695': Several children watch while a girl in a pink sweatshirt plays with
a Wii remote while another person with a little girl on their lap snuggle
in a chair in the background.
'1696': A man standing on a lush green field under a kite.
'1697': A cat playing with ice water out of a glass.
'1698': A goat stands on its high legs and leans against a rocky bank.
'1699': A sandwich on top of a metal tray next to a bowl of dipping sauce.
'1700': a guy having a spill on his skate board
'1701': Multiple time pieces displayed on the wall and on a flat surface.
'1702': A man standing on a lush green field with a ball.
'1703': The skiers are happy to pose for the picture.
'1704': A delicious sandwich layered with meat and dressed with cheese lies
on a cutting board.
'1705': A large long train on a steel track.
'1706': A person is laying on their back on the floor of a bathroom.
'1707': The tennis player wearing purple goggles and a purple outfit is
about to hit the tennis ball.
'1708': A pizza with several vegetable toppings sitting on a storage tub.
'1709': Two brown cows and a black cow eating grass in a field.
'1710': A woman is standing next to a tennis court with a racket.
'1711': A man holding a tennis racquet on top of an indoor tennis court.
'1712': A person standing before a big sign holding up a pastry.
'1713': Zebras and giraffes together in a zoo cage.
'1714': A white slice of pizza sitting on top of a plate.
'1715': A man sitting at a desk cutting up a cigar.
'1716': A sheep is lying down in the middle of a field.
'1717': A pizza and a salad are shown with various toppings on them.
'1718': A dog sitting in an office chair.
'1719': A person cutting a pizza next to a salad and bottles of wine on
wooden table.
'1720': A big orange sign about street maintenance near a curvy street.
'1721': A cat drinking water from a bathroom faucet.
'1722': A woman sitting next to another woman in a building.
'1723': A hot dog in a bun is topped with mustard.
'1724': A kitchen table with stools and chairs, greenery, and tulips.
'1725': A woman and a child sit on a motorcycle with a sidecar.
'1726': Other cars in the street behind a school bus.
'1727': An old advertisement shows a large kitchen with yellow cabinets
and appliances and white walls.
'1728': A man sitting near a table with video equipment.
'1729': A country bus that is traveling down a wet city road.
'1730': A man in a white hat, black shirt and white pants jumping a skateboard
off a bench.
'1731': Several surfboards lying in a row on the beach.
'1732': A table is set with sushi and beer and a salad.
'1733': A woman sitting near a table with a bunch of food on it.
'1734': 'A white car and a white bus parked parallel from one another. '
'1735': Hand holding a small pair of scissors with a green handle.
'1736': A LITTLE GIRL IS RUNNING WITH HER KITE IN A OPEN FIELD
'1737': A toddler eats cake with a spoon in his high chair.
'1738': Gourmet food on a picnic table with fizzy drinks.
'1739': A vase lacking yellow and white flowers.
'1740': A toilet in a rainbow stall with tiled streaks around the room.
'1741': A woman standing in a kitchen preparing food.
'1742': A young Asian woman model standing beside a folding chair in a sleeveless
dress, high heels and holding an umbrella.
'1743': A man pulls a plow, steered by two brown horses in front.
'1744': There are many paintings on display outside the building.
'1745': The metro train is painted blue with white lettering.
'1746': 'A bear standing on rocks and his ears are up. '
'1747': A hamster is propped up on the toilet seat.
'1748': The cell doesn't have a toilet and a sink in it.
'1749': 'The bottom of a jumbo jet is flying through the air. '
'1750': The inside of a black public bus with empty seats.
'1751': A big slice of pizza on a plate next to a glass of beverage
'1752': A cat is sitting on the bed near a person using a laptop and a plant.
'1753': People sitting in the stands watching a man play tennis.
'1754': some elephants and one is by some water
'1755': People walking down a city sidewalk showing one with headphones
and another with an umbrella.
'1756': A small child holding a toothbrush stands in front of colorful chicken
decorations.
'1757': A woman stands with her arms crossed as she looks at a clock.
'1758': People watching an on screen presentation of a successful businesswoman
and a gentleman in a suit.
'1759': 'Clock tower with a bronze statue on top on a sunny day. '
'1760': A woman wearing shorts bends over a wok on a stove.
'1761': A stop sign taken off from a metal pole.
'1762': Two teddy bears are sitting at a table with honey and juice.
'1763': some snow skiers one in a blue jacket the other white
'1764': A single teddy bear laying in bed under the covers.
'1765': A small bathroom with an open design concept and a chandelier.
'1766': A man is preparing cake batter on a large old oven.
'1767': A wooden handle in a pot with soup or stew next to a full bowl.
'1768': 'a donut being used as an ornament for a chistmas tree
'
'1769': A crab walking on a beach near the ocean.
'1770': A female tennis player stands on court and prepares to hit the ball.
'1771': A bridge is covered up in bright lights at night.
'1772': a large blue truck is driving down the street
'1773': Two young men are washing two motorcycles with hoses.
'1774': A boat is sitting in the sand near the water.
'1775': An airplane in route with a cloudy sky behind it.
'1776': A lady wearing red playing tennis on a blue and green court.
'1777': A big plate with some potatoes and fish on it.
'1778': Statues on the second floor of a building, sitting below a clock.
'1779': 'a man holding a skateboard and a microphone '
'1780': a black puppy playing with a hand as it stands in a black suitcase
'1781': A young woman poses comically with a guitar in her hand and a piece
of pizza in her mouth.
'1782': A woman taking pictures on a busy street.
'1783': An empty plate with a fork is shown next to two children.
'1784': two plates of pizza and a drink on a wooden table
'1785': A pretty lady with a red book and a flower vase is smiling on a
white bed.
'1786': A crowd of people walking along a snow covered mountain side.
'1787': A group of people in a park with a tall clock tower in the background.
'1788': Two black dogs on a couch covered with a blanket sleeping peacefully.
'1789': A person with a shopping cart and a bicycle on a city street.
'1790': A teen boy is skateboarding next to a cement wall.
'1791': A sheep is on a field of grass with two men walking around it.
'1792': Outside shot of a restroom showing the door partially open.
'1793': A street with a fountain, two busses, and people walking.
'1794': Someone is cooking vegetarian stir fry in a skillet.
'1795': A man deleting a picture of himself in a mirror.
'1796': A large group of people are gathered around a beach umbrella.
'1797': A woman in blue jacket holding a black bear cub.
'1798': A cat is staring while sitting in a sink.
'1799': 'A man taking a selfie while brushing his teeth and looking in the
mirror '
'1800': 'A piece of dutch chocolate cake with a fork on a plate. '
'1801': A man in mid air while riding a helicopter.
'1802': A teddy bear and a book are sitting on a blue chair.
'1803': A half zebra hybrid is standing in tall grass.
'1804': A woman laying in a hospital bed hooked up to an IV and monitors
with flashing red lights.
'1805': A man rides on top of an elephant in a truck.
'1806': Two painted people posing next to a giant suitcase in front of a
building.
'1807': A cat and a bird perch on top of an entertainment center in front
of a TV.
'1808': Flowers sit in a vase, on a table, beside a watering container.
'1809': A woman on a boogie board riding a wave.
'1810': A teddy bear with a green heart sits inside a giant bin.
'1811': The black and white photo shows a truck tilting a large cargo crate.
'1812': 'Four women stand behind boxes of large pizzas. '
'1813': A young man swinging a tennis racquet on top of a tennis court.
'1814': Their baby is sitting on two potties in the bathroom.
'1815': A lady is preparing pancakes in a charming white kitchen.
'1816': 'theres a number 41 bus with a green stripe on it '
'1817': a man standing by a table looking at a laptop
'1818': A man that is standing in the dirt with a bat.
'1819': A volleyball game is played by teams in white or blue uniforms.
'1820': A tray of food on the top of a table next to a lamp.
'1821': A dog peers into the bowl of a toilet.
'1822': A bear sitting on a log with a really long spotted tongue.
'1823': A bird with brown wings and head is flying over a tree.
'1824': A tan toilet and a shower are in a small room with a sink combination.
'1825': Multiple people are walking on a cobblestone street with shopping.
'1826': A kale and carrot home garden getting the last rays of sunlight.
'1827': All of the cows are poking their heads out, eating some corn and
hay.
'1828': A woman in black carrying a sheep on her shoulders.
'1829': Some people are riding elephants beside two trees.
'1830': A bunch of sheep running around in a field.
'1831': Two stuffed teddy bears staring at a wooden chair in a yard.
'1832': Two bowls of food with vegetables and fruit on top.
'1833': A man sitting at a desk smoking a cigar.
'1834': A formation of airplanes flying through clouds in a blue sky.
'1835': 'a little black bird with a big colorful beak sitting on a branch '
'1836': People are no peddling on a sidewalk near a sign that says walking.
'1837': A small child is in the kitchen with an adult and cat.
'1838': Some toy animals on the ground near a picture
'1839': A pizza with lots of red cheese on a flat brown surface.
'1840': Professional baseball players watch the pitcher, catcher and umpire.
'1841': 'A plate with a banana that is cut up, cookies and a spoon on it. '
'1842': A small room with a laptop on a tiny cot, a little sink, and a toilet.
'1843': An orange room with a bookcase, chairs, and a TV.
'1844': A man taking a selfie eating something fried
'1845': Three people on packed snow trail, two skiing, one walking.
'1846': An adult is cooking at the kitchen counter near a cat and a dog.
'1847': A hot dog sitting on top of a salad and a bun in a wrapper.
'1848': A city view of an angle bus near a side walk.
'1849': some kind of chicken, rice, and vegetable dish on a pizza tray being
served to a man.
'1850': A self service parking lot with a building behind it and an intersection
in front of it.
'1851': 'A cute cat is placing its paw on the mirror. '
'1852': A bus is stopped on a dark road.
'1853': An orange vase with a blue floral pattern sits in front of a map.
'1854': The skier is on the mountain with front ski edges together and holding
ski poles.
'1855': A sandwich with cheese and meat sitting next to grapes and an apple.
'1856': 'Two cake pans with cake on top of a stove. '
'1857': A blurred action photo of a girl throwing a disc
'1858': A dog hanging out of a back door window.
'1859': a boy making a face while running to get his kite in the air
'1860': A man in uniform rides a bicycle down the street.
'1861': A pile of clay, gold vases, and a wooden statue are sitting in a
yard.
'1862': A large digital four sided clock hangs on the corner of the building.
'1863': A cat on a chair with something on its head.
'1864': A large white kitchen range and a coffee maker with gold towels
on the front.
'1865': The smaller giraffe and a zebra are standing next to the larger
giraffe.
'1866': Two bears are perched on trees out in the rain.
'1867': The snowboarders are happy to pose for the picture.
'1868': A lego computer sitting on top of a laptop desk.
'1869': A woman walking with an umbrella near a railing above a river.
'1870': Three teddy bears at a table with honey.
'1871': A red street sign handing from a black pole with a building in the
background.
'1872': A pot of food on a stove with broccoli and cauliflower.
'1873': An Asian child brushes their teeth with a blue toothbrush.
'1874': A beach area with grass umbrellas and boats in the distance.
'1875': Three giraffes look towards the camera in their habitat.
'1876': A guy wearing a hat, a red shirt and a tie.
'1877': The train engine number 6309 is operated by Union Pacific instead
of BNSF.
'1878': Two living rooms with hard wood flooring and a book shelf.
'1879': A airplane that is sitting on a runway.
'1880': A dog sits in front of a TV and watches.
'1881': The brown cat is laying near a silver dog bowl.
'1882': A hand holding a book in front of a cat.
'1883': A man takes his picture using the bathroom mirror.
'1884': The metal stools are painted dark purple.
'1885': Two animals playing outside on a tree branch.
'1886': A pizza casserole without any crackers on the side.
'1887': A man wearing a white shirt and tie standing in a room.
'1888': A cow in a pasture of tall grass observing an energetic dog.
'1889': A little girl playing with a toothbrush and chewing on a teddy bear.
'1890': Four surfers are trying to catch a wave as they stand.
'1891': 'A double parking meter stands on the street. '
'1892': A blue plate with a green salad and a spoon on top of it.
'1893': A little girl is running with her gigantic kite in an open field.
'1894': People walking on sparkling sand next to a mountainous area.
'1895': A tennis player reaches out during a match.
'1896': A pair of tennis shoes stand next to a red umbrella.
'1897': A calculator and cell phone lay on a desk in front of a vase and
a keyboard.
'1898': A smiling child stands under a twirling pink and red umbrella.
'1899': A woman in black wetsuit on white surfboard riding wave.
'1900': A traffic light is mounted upside-down on its post.
'1901': A man is sitting on a park bench near a lake in the forest.
'1902': A dog laying on a bed in a bedroom with carpeted floors.
'1903': An old cart with green luggage on it standing by.
'1904': A seagull does a trick on a skate board by a beach.
'1905': A Princess girl standing beside a sign that says "smiling Parking
Only".
'1906': A brown deer walking through a leaf covered forest.
'1907': A group of people on cell phones with a woman.
'1908': A large jet airplane flying over an airport.
'1909': A stop sign without an eating animals sticker on it.
'1910': A group of four women stand together in front of a music player.
'1911': Two scooters and a police box are set up in a street scene.
'1912': A grey and black helicopter on a runway with trees in the background.
'1913': A clean room with door and bed and chair.
'1914': An otter and two bears playing together while swimming near a log.
'1915': A cat sitting on a bench in front of a tall building.
'1916': A smiling lady holding up a very big pizza.
'1917': An empty container that used to have a lunch in it.
'1918': Some frosted cakes with big decorations on top in a display case
for sale.
'1919': An old blender is sitting next to a printer.
'1920': A red and black boat floating on top of water.
'1921': A group of birds are flying above a bunch of puddles.
'1922': A bunch of people stand in front of two elephants.
'1923': 'A golden obelisk stands in the middle of an ornate building. '
'1924': A triple decker sandwich is sitting on a desk next to a lamp.
'1925': A cloudy dusky evening with a green street light shining.
'1926': a hotel room with a blue bed and one chair.
'1927': A small bird sitting on the back of a plastic bench.
'1928': 'A vase is filled with a bouquet of tulips. '
'1929': Two people posing next to a giant statue with a backpack.
'1930': A flock of sheep and goats are grazing on a grassy slope.
'1931': Eight doughnuts next to a white serving tray.
'1932': The old fashioned boat is going under the bridge.
'1933': A stuffed animal sitting in front of a tooth brush and a towel.
'1934': A black and white photograph of a person holding DC shoes while
on a skateboard in the sun.
'1935': Two pieces of soft luggage are seen here.
'1936': A group of sheep standing on top of a shore near water.
'1937': A woman types on a laptop while someone else operates the mouse.
'1938': A tall man is on snow skis on a pathway.
'1939': The opened laptop is sitting on the table along with other technological
tools.
'1940': A woman hitting a tennis ball with a tennis racket
'1941': A man with glasses standing beside a chair with a wiimote.
'1942': A chicken meal with carrots, broccoli, and mashed potatoes.
'1943': A person who is on their motorcycle in the air.
'1944': The lavender umbrella sits in front of the colorful building.
'1945': A cat sleeps on an armchair with a plaid bedspread in front of a
bookshelf.
'1946': A cat standing next to a bike parked against a wall.
'1947': A woman sitting on a wooden bench on a wall.
'1948': A man and a woman are skiing down a snowy, tree-lined path.
'1949': This man is riding a skateboard behind a dog.
'1950': A picture of a left-handed person playing in a tennis game.
'1951': A colorful balloon floating by some people in the park.
'1952': a train covered in fancy dirt sitting in a black train station.
'1953': 'a close up of many drinks in a fridge '
'1954': A double decker bus parked near a bench by trees and a curb.
'1955': A man smiles watching a clown approach with two horses.
'1956': A bird with outstretched blue wings is sitting on some bird feeder.
'1957': A cat on a stool with something on its head
'1958': A trio of zebras stand together in the grass.
'1959': A child is bent over on skis in the snow.
'1960': 'THERE IS A BATHROOM WITH A SINK AND A MIRROR '
'1961': Two women are playing a Wii game behind a banquet hall.
'1962': A woman sitting on a laptop computer next to a cat and a dog.
'1963': A child with a messy face eating a plate of food with a fork.
'1964': Two zebras in a desert area fighting in a dirt area.
'1965': A white toilet is across from a bathroom sink.
'1966': A man next to a snowboard using a parachute.
'1967': A kitchen with three pineapples on the counter and a wok pot on
the burner.
'1968': 'People are waiting for the bus with umbrellas. '
'1969': A woman is typing on a laptop and using her phone on a wooden table.
'1970': A vintage blue car in front of a vintage army prop plane.
'1971': A cup with soda behind a panini with a side of greens.
'1972': A grey and white dog sitting in the passenger side of a car.
'1973': A cup and a plate with food on it on a table next to a toilet.
'1974': Two teddy bears that are small sitting in a large garden.
'1975': A single jet is flying in the air performing tricks.
'1976': A little boy is standing between several orange cones.
'1977': Many people walk through a park as few kites and balloons fly in
the air.
'1978': A small baby is holding a white and blue toothbrush and a teddy
bear.
'1979': A dog is laying with its toy ball and water dish in front of it.
'1980': A bathroom with no toilets and a blue and green bucket.
'1981': An automatic toilet in a tiled stall with rainbow streaks around
the room.
'1982': A boy frowning and eating some food on a plate.
'1983': Four office cubicles with different types of computers.
'1984': A male tennis player with ball in front of him, racket drawn back.
'1985': A blue and red plane is flying over a runway.
'1986': A man walking with a goat on his shoulders
'1987': There is a truck parked on the side of the street.
'1988': Three different flowers sit near one another on a table.
'1989': Two small children watching animals at a zoo.
'1990': A cat sitting on a bench in front of a building.
'1991': A portrait picture and a desk lamp are on a desk with a young man
in a suit and tie.
'1992': A drooping pink and white flower with green leaves.
'1993': A herd of giraffes are playing in a field.
'1994': A little girl picking up an upside down umbrella by its handle.
'1995': Two people walking along a side walk crossing a train on the tracks.
'1996': A large giraffe looks at a smaller giraffe looking over a fence.
'1997': Bearded man in a suit about to enjoy an adult beverage
'1998': A black and brown large dog lies next to an upholstered chair.
'1999': People getting on to a bus from an airplane on the tarmac
'2000': White and brown cat sitting on top of orange shoes.
'2001': A picture of pink bathroom sink and a toilet.
'2002': A green car has parked on the curb in a parking lot
'2003': A pair of tall black boots and a closed red umbrella in the corner.
'2004': A bus parked in the middle of an empty road.
'2005': A group of adult elephants and one baby elephant drinking water.
'2006': 'A unique car sitting beside an airplane. '
'2007': Two different bears fight with each other in front of a log.
'2008': The skier is happy to have won the race.
'2009': A milky white small cow in an enclosure with straw on the floor.
'2010': A baker is working in the tiled kitchen rolling dough.
'2011': Several desserts sitting behind a glass window with display cards
in front of them.
'2012': A rusty motorcycle is parked inside of a building.
'2013': A person riding a snowboard down a snowy slope.
'2014': This video game has a Wii device and instructions.
'2015': 'A woman holding a large pepperoni pizza at a table. '
'2016': A large red truck is driving down the street.
'2017': A polar bear and a bird near a small pond.
'2018': A yoga instructor leads students with yoga mats on a beach in front
of large hotel buildings.
'2019': A broken telephone pole in a neighborhood with a stop sign attached
to it.
'2020': A group of young men with a bucket standing on top of a sandy beach.
'2021': A cat is drinking something from a glass and there is a fish tank
nearby.
'2022': A black and white photo of children sitting with balloons and posing
for a photo.
'2023': A group of people with skis near the top of a mountain slope.
'2024': Five people riding some motorbikes on the road
'2025': A man talking in front of a photo of an orange sofa with black and
white fence behind it.
'2026': there are many different types of food gathered on the table
'2027': A white and gray puppy pokes its paw at a mirror and looks at its
reflection.
'2028': A man in white shirt looking at cellphone next to red truck.
'2029': 'A kale and sweet pea home garden getting the last rays of sunlight. '
'2030': A woman in a suit standing next to a control board and computer.
'2031': Two airplanes flying in the sky above a black bridge.
'2032': Three people in work uniforms and visors standing together in front
of various types of donuts.
'2033': A curve in a city road with a bus following a car and people walking
on the side.
'2034': A blue skateboard with red wheels on the floor with someones foot
on it.
'2035': A plate topped with bread, greens and pasta and a bird.
'2036': A man and woman are taking photos with their right hands and eating
food with their left hands.
'2037': An old style bathroom with baby blue cabinets.
'2038': Someone holding out their hand with a pair of scissors on it
'2039': A tasty looking sandwich that is cut in half to eat.
'2040': People watch a man delivering a lecture on a screen.
'2041': A person on a sunny slope on a snowboard.
'2042': A small child wearing a tie stands with his overstuffed luggage.
'2043': Many children and a dog sit around a person in a Santa costume.
'2044': Two people riding horses near a river on a rock path.
'2045': Two men and a shark are in an odd looking boat.
'2046': The banana is laying next to a cracked almost empty bowl.
'2047': A refrigerator on a patio flooded with water, wine bottles and a
beer bottle.
'2048': This computer is packed up with two monitors and an ergonomic keyboard.
'2049': A man is drinking water from a blue bottle.
'2050': A black and white photograph of a stuffed teddy bear wearing a shirt
that reads "handle with care" and a small stuffed sheep.
'2051': Two boys and three girls are walking down the sidewalk under a sun
umbrella.
'2052': An orange truck driving down a street full of men in the back.
'2053': A surfer walking on a beach with coconut trees holding a surfboard.
'2054': A pair of people ride a large, horse drawn buggy near a small puddle
of water.
'2055': A plate with diced up lettuce topped with white carrots.
'2056': Persons of different origin walking through a hall.
'2057': Three people are standing near a bench looking out at mountains
and a lake.
'2058': An old yellow plane is flying in the sky.
'2059': Men race on sled vehicles towed by a group of husky dogs.
'2060': A large passenger airplane flying through a clear sky.
'2061': A man standing next to a dog on the ground.
'2062': A flowered bedroom with a bed with a spare blanket.
'2063': A person going up a snow hill on skis.
'2064': a couple of elephants out in a large field
'2065': A group of people wait in a red reception area with a ceiling fan.
'2066': 'White pastries sitting on top of a white plate with silverware. '
'2067': A man punching an innocent giraffe in the side of it's head.
'2068': A group of young people standing on top of a green slope.
'2069': The shiny motorcycle and an old car have been put on display.
'2070': A large black bear without a long tongue hanging out of its mouth.
'2071': Many cows are being housed in futuristic milking stations.
'2072': A large white polar bear sitting on top of a rock.
'2073': A woman cutting a piece of cake while a person in costume stands
behind her.
'2074': Two tall giraffes standing next to each other by trees and birds.
'2075': A billboard with six different advertisements on it.
'2076': A cowboy hat-wearing man standing next to a woman in a gray dress.
'2077': A vintage photo of a boat parked next to a lighthouse and a peer.
'2078': Many cows far from a body of water in a field.
'2079': A restroom with two sinks and a red colored stall.
'2080': A close up food in plastic containers with a blue plastic fork.
'2081': A surfer walking on a beach holding a surfboard.
'2082': Four tall buses driving along a parking lot next to a double decker
building.
'2083': A train is moving through a train station.
'2084': A small clock fixed to a building as vehicles pass by.
'2085': Two people sitting on a bench gazing up at the sky.
'2086': A woman holding a bag and a hot dog on the street.
'2087': A man walks a dog past rows of chairs outside a store.
'2088': A newly married couple eating a cake in a park.
'2089': A man in a neon green shirt and black pants holding a pink umbrella.
'2090': A group of people are climbing onto the back of a dump-truck.
'2091': A double-decker bus turned in to a traveling showcase for a University
'2092': A singular doughnut is arranged in a display case.
'2093': Two vases of fresh flowers sit on top of the table.
'2094': Two women in glasses using Nintendo wii remote controllers.
'2095': 'The woman is looking at the elephant in amazement. '
'2096': A rat is standing up to a white toilet.
'2097': Men keep watch on a herd of goats and sheep.
'2098': Several hot air balloons in the sky at night.
'2099': Brown cows laying down in a field of grass next to a tree.
'2100': A lady is sitting with her luggage bag as a couple of guys walk
on.
'2101': The baby is holding and looking at his tooth brush and a toy car.
'2102': A wooden table with two chairs far from a sink.
'2103': Utensils and containers line the sink in a kitchen.
'2104': Trying to catch four waves, surfers stand.
'2105': Two plates of pizza, a salad, and a drink are on a wooden table.
'2106': Several toy animals - a bull, giraffe, deer, parakeet, and crocodile.
'2107': The man with the black sweatshirt carries a goldfish.
'2108': The kitchen mugs are on three counters of a stove.
'2109': Four bananas in a bunch with brown dots and a glass of orange juice.
'2110': Green plants and climbing vines in a garden plot.
'2111': a blue and yellow fire hydrant sitting on the sidewalk next to a
quiet street
'2112': A crowd of people holding their cameras up looking at the scenery.
'2113': The jetskis are in the water for a thrilling night.
'2114': A sandwich covered in lots of greens on top of a table.
'2115': A horse standing in the dirt near a fence.
'2116': A road sign on top of a stop sign at an intersection
'2117': A woman in black shirt and skirt playing a piano.
'2118': An Air Force jet flying in a fiery red sky.
'2119': A couple of striped cows and some birds flying in the sky.
'2120': A lady is standing in a pastel colored bathroom in front of the
bathtub and there are Christmas lights hanging up outside of the doorway
and a rug on the floor.
'2121': A woman standing on a surfboard while posing for the camera.
'2122': A stove, some books, and a fridge in a kitchen.
'2123': A group of people sitting on a bench and kayaks near a lake.
'2124': 'A guy wearing a tie has his hands in his pockets. '
'2125': A pineapple and some oranges sit on a table.
'2126': The young boy is flying his kite on the beach by the water.
'2127': Two women and a child are playing a game with a Nintendo Wii controller.
'2128': A group of clowns riding a large gray elephant.
'2129': a bathroom with a big mirror above the sink
'2130': Interior bathroom shot of a glass shower and a bathtub with white
sink fixtures.
'2131': A stoplight that is flashing green lights at bicycles and cars.
'2132': A close up of sheep and a rooster on hay ground indoors.
'2133': A woman and a child on skis sliding down a snowy hill.
'2134': A cross with teddy bears lying next to it.
'2135': A table with a red food and a glass of wine.
'2136': A hot dog is on a plate with macaroni and cheese.
'2137': A singular dessert sitting behind a glass window with a display
card in front of it.
'2138': The picture of the couple in bed is displayed in the large window.
'2139': A pan with carrots, apples, meat, and squash.
'2140': A celebrity holding a smart device in their left hand.
'2141': A bathroom has a red sink with circular tiles.
'2142': A corner of a rest room with a cookie and coffee.
'2143': A wooden utility pole sports several street signs.
'2144': 'Two giraffes look over a railing blockade. '
'2145': There is a sandwich with many toppings on it.
'2146': Three skiers slide down a snow covered hill.
'2147': A woman wearing an Army t-shirt hits a tennis ball
'2148': A very small cute kid and a puppy are brushing their teeth.
'2149': A refrigerator on a patio empty of water, beverage cans and a beer
bottle.
'2150': A beach chair, umbrella, and cooler are in the sand on the beach.
'2151': A man drinking something from a red bottle
'2152': Three snowboarders are standing under the arch for a ski race.
'2153': The people have surfboards and kites and are on the beach.
'2154': a row of parking meters line a street in front of a stop sign
'2155': An image of a herd of giraffes on an island in the water.
'2156': A bathtub in a bathroom next to a sink.
'2157': A boy in a tie holding a small suit case.
'2158': Several people crossing a river with one person having food in their
hand.
'2159': A salad topped with a fried egg next to a white plate.
'2160': Fruits and vegetables next to a cooking pot.
'2161': A pasta with some different vegetables arranged on top of it.
'2162': A red player is taking a swing on a tennis court.
'2163': A man playing in a tennis match in a tennis court.
'2164': A box that has fruit and doughnuts inside of it.
'2165': 'a white fire hydrant in front of a red car '
'2166': A bunch of cakes are sitting on the counter.
'2167': A man uses a laptop in an otherwise bright room.
'2168': A male tennis player stands on court with a water bottle and prepares
to hit the ball.
'2169': A very nice bedroom that is very clean.
'2170': A tall church tower and a windmill are sitting on the side of a
road.
'2171': This is an image of two girls with chickens.
'2172': A picture of double sinks in a bathroom.
'2173': A small pizza with olives is place on a stack of plates.
'2174': A man is laying in a hospital bed and is hooked up to several machines.
'2175': A man putting down what appears to be a chocolate dessert.
'2176': A man flying through the air while riding a rocket.
'2177': A child in front of a well stocked refrigerator.
'2178': A person putting away an older model of a smart phone.
'2179': A man is at a kitchen counter by a dog.
'2180': A man with a tennis racket and a golf club gets ready to swing his
racket.
'2181': Three different pots sit near one another on a table.
'2182': A bunch of bikes that are sitting on the sidewalk.
'2183': A dog sticks his head inside a car window.
'2184': Several sheep grazing in the field with a house in the background.
'2185': Four teddy bears are lined up in a row on a shelf of books.
'2186': Two women in a room with one of them holding a cake and a balloon.
'2187': A man holds a tennis racket and a ball on a tennis court.
'2188': A sheep that is standing under a wooden plank from a fence with
a cow.
'2189': One elephant standing away from the rest of the herd, drinking water
and smelling flowers.
'2190': A girl is on the beach holding a toy.
'2191': Flowers of various shapes, one of which has Three Jack-O-Lanterns
in it.
'2192': A white plate with two slices of cheese and a whole banana unpealed.
'2193': A group of elderly couples standing on top of a snow covered slope.
'2194': A blue and silver train next to train station and autumnal trees.
'2195': Two animals standing in front of some trees.
'2196': There are two flashing electronic devices on top of the laptop.
'2197': A hand pets a cat on top of a suitcase.
'2198': A snowboarder is flying in the air over snow.
'2199': A dog walks a man past rows of chairs outside a store.
'2200': A person with a cane and a roller bag sitting on a bench.
'2201': A man and a woman are cooking for each other in a kitchen.
'2202': A young woman standing besides an elephant smiling.
'2203': A small child is reaching for lawn decorations.
'2204': Multi-colored umbrellas in a black and white picture near the water
'2205': The bathroom is painted pink and has a light blue ceramic tile that
adorns the shower wall along with a maple color vanity and door.
'2206': Two skateboarders trying to film a skateboard trick
'2207': THERE ARE PEOPLE RIDING ON AN ELEPHANT BACK
'2208': A dog curled up on top of some covers.
'2209': Shelves in a bakery filled with donuts.
'2210': A bathroom with pink tile and a bare pantry.
'2211': A white sink with a gray cabinet underneath it.
'2212': Overview of a pot of vegetable soup with wooden spoon on a stainless
steel stove top.
'2213': A large slice of pizza with jalapenos, cheese, and marinara sauce
on a plate.
'2214': Skateboarder grinding his board on the side of a beachfront boulevard.
'2215': A No mopeds, skates or skateboards sign on a pole.
'2216': A couple cuts into a wedding cake without grapes and oranges.
'2217': A person is sitting under a monochromatic umbrella.
'2218': a man is feeding an elephant over a fence
'2219': A group of men beside a field playing baseball.
'2220': A woman leaning on ski spikes on a sunny mountain.
'2221': a tripod sitting next to a laptop
'2222': Woman with blue dress sitting in modern chair next to vase in empty
room.
'2223': An orange bearded man holding a chubby beverage.
'2224': A hotel room with a bed and a chair and white walls.
'2225': A woman taking a picture of her reflection in a motorcycle mirror.
'2226': A pile of luggage sitting up against a white fence with a garden
gnome next to it.
'2227': A billboard at an intersection depicting "horse crossing".
'2228': A person wearing a large suit showing on the screen.
'2229': Several horses crossing a road with one person having food in their
hand.
'2230': A bathroom with a bathtub, a brass counter and decorative shower
stall.
'2231': A yellow bicycle riding past a forest.
'2232': Three small horses eating hay while a large horse stands behind.
'2233': A fish eye shot of people sitting inside at a cafe.
'2234': A colorful public restroom focused on the marble sinks.
'2235': A rusty white stove in a very small kitchen.
'2236': A man sits on a bench underneath trees.
'2237': 'A small group of people standing in a red and white room '
'2238': A kayak is sitting in the sand near the water.
'2239': A kale garnish on a white plate with a ham sandwich.
'2240': An orange cat laying on a white and brown cat in a bed.
'2241': A tennis court has a few people in the bleachers.
'2242': Two men and a woman standing beside an elephant.
'2243': A living room with a big table next to a floating book shelf.
'2244': A baby cow gets milk from its mother while two other cows stand
nearby.
'2245': A painting of flowers in vase setting on a table with two chairs.
'2246': A woman sitting on a bench with a tall building behind her.
'2247': A plate with two slices of pizza next to it.
'2248': a man that is skiing down a snowy field
'2249': A living room with two televisions decorated in a non-festive manner.
'2250': A woman is standing with an umbrella.
'2251': A biplane leaves a smoke trail while doing a trick.
'2252': A white decorated living room with an oval set dining room table.
'2253': Three people on packed snow trail, one skiing, two walking.
'2254': A giraffe stands on green grass in front of a shade tree and a flowerpot,
staring off into the distance.
'2255': A horse pulling a carriage on a narrow path.
'2256': A white bus parked next to a sidewalk near a fence.
'2257': A row of white toilets sitting on top of a rocky dirt ground.
'2258': A woman getting food off of a round table, with a purple sweater
on.
'2259': A group of people riding a large gray elephant.
'2260': A group of people that are standing near a basketball hoop and a
tennis net.
'2261': A woman and a chair are laying on a bathroom floor next to a toilet.
'2262': A little league team wears orange shirts and black caps.
'2263': A spoon rests on a plate next to a fork and a piece of cake.
'2264': Closeup of a pie that is sitting on a white plate.
'2265': A photo of a bright pink shoe next to a blue and green background.
'2266': A white motorcycle driving down a street next to a building.
'2267': A man has a striped shirt and checked tie.
'2268': The moon shining down on a foggy harbor full of ships.
'2269': A black cat sitting outside a bathroom sink.
'2270': There are a bunch of people snowboarding and cross-country skiing.
'2271': 'a bright kitchen with tulips on the table and plants by the window '
'2272': A cat stands on a counter drinking water out of a glass.
'2273': A vehicle and a motor bike with a surfboard on the beach.
'2274': An Apple desktop computer system is turned on with two monitors,
keyboard, mouse, a speaker, and other peripherals.
'2275': A red room with older style furnishings and curtains.
'2276': 'A black and white picture of three lambs. '
'2277': A younger man is skiing down a snowy mountain.
'2278': A herd of cows graze on some grass.
'2279': A man wearing a blue blazer is also wearing a red hat.
'2280': A bathroom with a metal shower door, a toilet and a towel handle.
'2281': A polar bear and a fish near a small pond.
'2282': A cat looking at a bird on the television while another cat watches.
'2283': Vehicles are riding next to a river with a huge clock on a building.
'2284': A man wearing a bike helmet standing next to a bicycle.
'2285': A black plush toy and a toothbrush are sitting on the lid of a toilet.
'2286': A baseball girl holding a little bat on grass.
'2287': 'A man sitting on a bed looking at a book '
'2288': A man holds down a microwave door as he looks into the microwave.
'2289': A traffic light is glowing against the dark sky.
'2290': the scissors sit in a containers with pens and markers
'2291': a female holding a tennis racket and lunging for a tennis ball
'2292': Several people with parasols are standing outside a large boat.
'2293': A man holding a red book in his hand while sitting on a bed.
'2294': Several people walking on a sidewalk, with one man holding an umbrella.
'2295': A dog chewing on top of a small white ball.
'2296': A wooden table with an orange laptop and purple pen.
'2297': A bunch of dirty looking white toilets scattered everywhere outside.
'2298': 'A group of children standing and sitting beside each other. '
'2299': A person riding skis on top of a snow covered slope.
'2300': A woman sits on a motor bike with a foldable cart extended.
'2301': A woman tennis player in a black army shirt and ballerina skirt,
swinging a tennis racket.
'2302': A bunch of mini bananas and pineapple slices are hanging above a
bowl of apples and oranges.
'2303': a woman with a tattoo is sitting on the train tracks
'2304': The action in a competitive professional basketball game.
'2305': this is a little girl standing in an airport
'2306': A coffee mug on a plate and half an eclair on wooden table.
'2307': Scene of eternity pools in the process of being completed.
'2308': A stop sign with additional warnings taped to it.
'2309': A tiny suitcase with a bunch of stickers on it.
'2310': A soccer player preparing to kick a ball during a match.
'2311': A kid sitting next to a bed with a remote.
'2312': A stoplight that is flashing green lights at cars.
'2313': A rack topped with plain donuts sitting side by side.
'2314': there is a white pizza that is on a small plate.
'2315': A very large floral-patterned teddy bear that is sitting in a chair.
'2316': Two young women are washing two motorcycles with hoses..
'2317': A MacBook Pro sitting on the top of a table which is wood.
'2318': A woman with a tennis racket is on the ground with legs together
next to a tennis ball in motion.
'2319': A bunch of work stations with a very big computer.
'2320': A man and a child are riding skateboards on a ramp.
'2321': A room with chair, bicycle, television and a Christmas tree.
'2322': A man and a child are taking selfies while brushing their teeth
and looking in the mirror.
'2323': Two sets of hands are each holding a cell phone while another hand
in the background is holding a glass.
'2324': A brown dog is sleeping inside the car.
'2325': Outside view of the people in Las Vegas with the MGM Grand sitting
and walking.
'2326': A white bowl of green granny smith apples.
'2327': 'A black stuffed animal sitting on top of a toilet in a bathroom
stall with blue floor tile. '
'2328': Two brown bears growling at each other while standing near a waterfall.
'2329': A calico cat drinks water from a faucet while playing with a toy
mouse.
'2330': A bike and an umbrella leaning against the side of a building.
'2331': A cat sitting in front of a large computer monitor and a bookshelf.
'2332': A beach with two boats and an airplane.
'2333': Two men are on a motorcycle and a third is on a scooter.
'2334': A man feeding four giraffes grass and leaves.
'2335': A plate with a big tasty looking waffle topped with whipped cream.
'2336': The exterior of a building with a clock.
'2337': A woman in a black jacket is flipping through a large book.
'2338': A brown horse stands over a light colored dog.
'2339': Motorcycle rider flying next to small red plane in urban area.
'2340': A man is high in the air as he skateboards on the ramp.
'2341': A group of people ignoring some kind of show or exhibit.
'2342': A knit item sitting on a laptop on a desk.
'2343': Several slices of meat are on top of a pizza and a bowl of soup
is on the table.
'2344': A stop sign installed upside down on a street corner
'2345': A solo animal standing on top of a grass covered field.
'2346': The large room has wooden counters with chairs behind them on both
sides.
'2347': There are two desktop computer and one laptop on the desk.
'2348': An automatic white toilet with a black seat sitting in a small stall.
'2349': A baseball player throws a pitch while others watch from the dugout.
'2350': 'A man in a neon snowsuit is standing on skis. '
'2351': A man biting into a doughnut and drinking coffee with a sly look.
'2352': The hand of a person picking up the last two pieces of pizza.
'2353': An elderly man and a young girl are eating a slice of pizza.
'2354': A diminutive fire hydrant rising though a suburban sidewalk.
'2355': A person standing before a big sign holding up a pastry and a coffee
mug.
'2356': 'Luggage is arranged in groups on a concrete platform. '
'2357': A cat sitting behind a large computer monitor.
'2358': 'two children wearing sweaters shirts and ties '
'2359': A young woman seated at a table holding three pizzas.
'2360': A commercial airplane and a helicopter sit on a runway at an airport.
'2361': A vintage red car behind a vintage army prop plane.
'2362': THERE IS A GAME A VOLLEYBALL GAME GOING ON.
'2363': A biplane flying upside down leaving a large vapor trail and a rainbow.
'2364': A plate filled with pastry on a table.
'2365': A large black truck in an empty parking lot.
'2366': A lady wearing a pink shoe and blue jeans.
'2367': A whole pizza on a white plate on a table.
'2368': A black colored toilet with a white seat.
'2369': A man in casual clothes stands near a table with computer equipment
on it.
'2370': A man with a receding hairline offers a slice of pizza to a toddler.
'2371': 'a stop sign sittin on a pole that is somewhat broken '
'2372': A little girl sitting on a man's lap in an old photograph.
'2373': A passenger jet is flying over some trees and a mountain.
'2374': A man is pretending to hit a bronze statue of a giraffe.
'2375': A car with a snowboard on its ski rack parked in a foggy parking
lot next to a snowmobile and two cars with empty ski racks.
'2376': A woman holding an umbrella in one hand and a phone in the other
up to her ear.
'2377': A plate containing potatoes, carrots and lamb.
'2378': A table with plates of sandwiches, fruit, and snacks.
'2379': A commercial airplane above a paved trail and crowd of people.
'2380': 'Woman playing in a tennis match in a tennis court. '
'2381': There is a dog that is drinking out of the toilet.
'2382': A pizza with a slice missing and some brownies are sitting on a
pizza stand.
'2383': A small giraffe stands in the grass near a road with a car passing
by.
'2384': A boy holding a kite while crossing a sidewalk.
'2385': A black and white picture of a little boy, a girl, and a dog.
'2386': A picture of a very large clock on the side of a building.
'2387': A man taking a picture in a side car mirror with his cell phone.
'2388': An umbrella and a fire hydrant that has dirty, brown water inside
are on the sidewalk.
'2389': A toilet and a sink made of material with sparkles.
'2390': A man holding a tennis racket playing tennis.
'2391': A sunny day at the beach with a lot of people.
'2392': There is an elephant standing near a tree.
'2393': Two tables with a wooden chair next to a sink.
'2394': We see a double decker train with a compartment in the side.
'2395': Three birds walking around a dry grass field.
'2396': A bicycle is standing next to a bed in a room.
'2397': A woman swinging her tennis racket while playing tennis in the rainy
weather.
'2398': A parent holds a soccer ball while another youth is behind them,
looking at the parent.
'2399': A pancake with vegetables piled up on it
'2400': A golden obelisk is positioned at the edge of an ornate building.
'2401': A close up of a person putting down a plate of food.
'2402': A camera hangs from a tripod connected to a laptop.
'2403': A brown dog laying on the ground with a metal bowl in front of him.
'2404': A fish eye view of a bus rounding a curve on a city street.
'2405': A little funny puppy figure is sitting in the middle of half eaten
pizza.
'2406': A bunch of people standing together with some umbrellas.
'2407': The orange handles of a hammer are sticking out of a holder.
'2408': 'Three images of a pie and a cup of tea or coffee. '
'2409': A crowd of people holding their binoculars up observing.
'2410': A bedroom in an old house that has already been renovated.
'2411': Two brown and white dogs running in a woodsy park.
'2412': A herd of sheep are blocking the road.
'2413': Women are standing on the street behind a barrier, using their cell
phones, while the men have moved on.
'2414': A brand new motorcycle with a helmet on display at a show.
'2415': a bedroom with a blanket and some pillows
'2416': A young kid hitting a bat with a baseball close to some chairs.
'2417': A woman on a skateboard riding by food vendors.
'2418': A man wearing sunglasses and a leather black hat.
'2419': People running on sand next to a mountainous area.
'2420': A stop sign with a eating animals sticker on it.
'2421': Person wearing a black bow tie.
'2422': A group of people riding skis across a snow covered slope.
'2423': A guy wearing glasses, a red shirt, a tie, and a watch.
'2424': A man and young girl surrounded by various fruits.
'2425': A bathroom with the shower on visible through a slightly ajar door.
'2426': 'Red fire hydrant with Leizan trees around it. '
'2427': A group of sheep in a grassy area with roses and trees in the background.
'2428': A shiny metallic stove in a brown colored kitchen.
'2429': a yellow woman standing over a bushel of black bananas
'2430': The vase is holding an arrangement of fresh vines.
'2431': The street signs for Gladys and Detroit streets are attached to
a metal pole.
'2432': A smooth table with a notebook and pen on it.
'2433': Two rhinos look over a railing blockade.
'2434': A laptop computer sitting on top of a wooden table.
'2435': 'A man wearing a black wetsuit surfing in the ocean. '
'2436': A toilet with a shower and mirrors with lights on.
'2437': a picture of a grizzly bear in the wild
'2438': A bunch of bikes that are sitting on a cracked sidewalk.
'2439': An adult holding onto a kite while standing on a green grass covered
field.
'2440': A vase and a chair are in a room, with a bouquet of tulips in the
vase.
'2441': Someone is cooking a vegtable stir fry for dinner
'2442': A fire truck parked near a curb by trees.
'2443': An airplane is at an airport with yellow hoses by it.
'2444': Two stuffed animals are sitting on a broken wooden chair with a
camera next to them.
'2445': A black and white photograph of a person wearing DC shoes on a surfboard
in the sun.
'2446': A group of men are riding in the back of a dump truck next to a
river.
'2447': A man and woman sit on benches with a teenager.
'2448': A den with beds, a chair, tables and lamps.
'2449': A painting is leaning against the front edge of a well used skateboard.
'2450': A woman sits on a bench next to a birdfeeder, watching the park.
'2451': A woman and a child hold a brown horse while another woman watches.
'2452': A bunch of birds flying around a couple of waves near the ocean.
'2453': A red stop sign with two green street signs on top of it.
'2454': Two stuffed animals are sitting on a broken wooden chair.
'2455': A single woman is standing in front of a table.
'2456': Several white birds standing in a puddle in a parking lot.
'2457': A box contains a breakfast with an omelet, tomato slices, a sausage,
and some toast.
'2458': Two brown horses pull a plow, steered by a man behind.
'2459': A man in colorful shirt and white shorts on a tennis court.
'2460': Workers in fluorescent yellow jackets standing under a fluorescent
orange umbrella.
'2461': Eight doughnuts sitting on a white serving tray.
'2462': A cat pears into the bowl of a toilet.
'2463': A statue is sitting on a table and a woman sits on a cement block.
'2464': A vase with purple iris's sitting next to a ceramic pitcher.
'2465': People and their stuff on a little boat in the ocean
'2466': A toilet that is made of plain material.
'2467': A parrot is wearing a helmet and sitting by a motor bike.
'2468': There are three vases made of clay and metal on a table.
'2469': A chair with stacked pillows is in a bedroom with a bed.
'2470': a woman with her luggage at a train station
'2471': Two books are lying on a table.
'2472': A pair of birds crossing a street towards a grassy area.
'2473': Zebras leaning down to drink at a watering hole.
'2474': A living room with a gray sofa and a white rug.
'2475': A man standing in a field of sunflowers with a dog in front of him
and frisbee type toys thrown in the air.
'2476': A shiny metallic refrigerator and a flower vase in a brown colored
kitchen.
'2477': A couple of men and one young man eating pizza.
'2478': Some stoplights that have every light lit up.
'2479': 'A woman stands beside her luggage at an airport. '
'2480': A set of twins who are playing with rubber ducks in the bath.
'2481': A man holding a surfboard walking on a beach next to the ocean.
'2482': A man and child sitting on a street with fruits in baskets.
'2483': Two boys are holding a huge stuffed bear near a crowd of kids.
'2484': A closeup of a burger with lettuce and bacon.
'2485': A large tusked elephant and a monkey walking in a wooded area.
'2486': A man skiing in a black slope.
'2487': An assortment of neckties hang on a metal rack.
'2488': The large group of children are outside playing with each other.
'2489': The bride, groom, and a musician stand behind a square, multi-layer
wedding cake.
'2490': A black cat and a goldfish are in a sink.
'2491': A trio of teddy bears bundled up on a bed.
'2492': A baby holding a fork and spoon looking at a cupcake and candle.
'2493': a baseball player with a bat on the field
'2494': A black and white portrait of a male.
'2495': A printer, keyboard, and a monitor on a desk.
'2496': A man in a neon green shirt and leather black pants holding a pink
umbrella.
'2497': 'Several square pizzas are sitting on round plates. '
'2498': A room without any stainless steel items or other accessories.
'2499': a small silver laptop on a wooden table
'2500': Three female workers stand behind rows of pastries.
'2501': Three zebras huddling together in a very dry area
'2502': A cat and a lamp are laying on a couch.
'2503': Three wild turkeys next to the dried pasture.
'2504': 'Sheep grazing in grass in the mountains '
'2505': Two girls that look on while another shares food.
'2506': A baseball game showing a pitcher waiting to throw a pitch.
'2507': A woman with a book bag sits on a ledge with her broken phone.
'2508': There is a grizzly bear swimming in the water.
'2509': A container that has a packed lunch in it.
'2510': A large blue lit bridge spanning over a lake.
'2511': A man is petting an innocent giraffe in the side of its head.
'2512': People crossing a busy city street full of vehicles.
'2513': A closeup of a pizza with tomatoes, lettuce, and bacon.
'2514': A miniature table with wooden bananas next to a Malaysian coin from
2009.
'2515': Some fruits growing in grass with a tall glass case next to it.
'2516': Two tall giraffes standing next to each other by trees.
'2517': A roasting pan full with apples, carrots, potatoes, and meat
'2518': 'Small girl in green shirt holding a slice of pizza to her face. '
'2519': A locomotive on train tracks in an open countryside.
'2520': The traffic light is at a four way intersection.
'2521': A man watches people delivering a lecture on a screen.
'2522': A group of guys and their girlfriends are in a dugout with their
gear.
'2523': The sausages and carrots are served with parsley on the side.
'2524': Bear cubs play among the fallen tree limbs.
'2525': A clean industrial kitchen with no one in it, but there are many
chef hats hanging on the wall.
'2526': A person holding up a tasty looking treat.
'2527': An older woman is skiing down a snowy mountain.
'2528': A street lined with flowers with people up and down the sidewalk.
'2529': Two woman and a man pose for a picture while one woman cuts a cake
'2530': A marble table with a green bowl holding a pizza.
'2531': A person petting the body of a cute fluffy sheep.
'2532': A vase with a book on display near a wall.
'2533': A man in a red shirt tossing a white frisbee.
'2534': A woman plays Wii in a room with two white sofas.
'2535': A luggage rack that has various pieces of luggage and containers
on it.
'2536': A three tier cake with some frosting and strawberries in the middle.
'2537': A man dressed in black snow gear stands on skis in the snow.
'2538': A group of men standing on horses in the water.
'2539': 'two zebras standing in line with the head of one resting on the
back of the other '
'2540': A barefoot little girl is running on the grass with a kite.
'2541': A woman has headphones on and is holding two cell phones.
'2542': there are two stuffed animals on a wooden bench
'2543': 'A bus loads and unloads passengers next to a plane. '
'2544': A large bear laying down on a leather hammock.
'2545': A woman that is running around on a tennis court with a racquet.
'2546': A beige small bathroom showing the toilet bowl and sink with white
tiles.
'2547': People looking into the front window display of a jewelry store.
'2548': Dogs walk down a busy city street, with traffic light.
'2549': A No bicycles, skates or skateboards sign on a pole.
'2550': Blossoming traffic lights in front of a hanging tree.
'2551': Two plates of breakfast food and a glass of juice.
'2552': Garbage and fire trucks on a city street.
'2553': The moon shining down on a harbor full of ships and submarines.
'2554': A brown horse stands over a light colored dog and a chicken.
'2555': A newly married couple sitting at a table in front of a four layer
wedding cake.
'2556': Two people holding wii remote controls in a living room.
'2557': A pile of different plain bags of luggage sitting on a floor.
'2558': A man walking down a street next to a road filled with cars.
'2559': A sheep with long hair stands under a fence.
'2560': A hand with finger on a blender filled with liquid.
'2561': A child is riding a bike led by several dogs while the man watches.
'2562': An empty road with no cars in a desert.
'2563': Two giraffes grazing from a tree in a field.
'2564': A young boy dressed in yellow holding a pizza in a box and a teddy
bear.
'2565': Three people are sitting on a bench looking out at mountains and
a lake.
'2566': A display of shoes and umbrellas are in a window.
'2567': Several middle eastern looking stickers were removed from a black
briefcase.
'2568': A woman in a gray dress and a man in white stand near a cake on
a gray table under a gray canopy.
'2569': A person with a hat and two dogs walking in the snow.
'2570': Two peanut butter and jelly tacos sliced in half.
'2571': A couple of children sitting in front of a blanket.
'2572': The skier is on the flat with front ski edges together and holding
ski poles.
'2573': A red stop sign and a trash can are sitting on the floor next to
a wall.
'2574': A hot dog beside a bun is topped with mustard.
'2575': A teddy bear is placed on a metallic sculpture.
'2576': A person that is washing some dishes in a kitchen.
'2577': A man doing a trick upside down on his sparkly snow board.
'2578': There is a group of sheep grazing on the grass and under an apple
tree in the field.
'2579': A cat sitting next to a banana tree.
'2580': a number of people walking on a side walk
'2581': A spacious clean bathroom that is well lit.
'2582': A man in white shirt sitting at a laptop in bedroom.
'2583': A cute cat is placing its paw on the foggy mirror.
'2584': A very cute small red chair by some tall stools.
'2585': Many people standing near a table with cake and balloons.
'2586': A red plate holds on it broccoli, carrots, muffins and meat.
'2587': A man with sheep on straw covered floor.
'2588': A man gazes at an intricately designed clock with roman numerals.
'2589': A lady is standing in christmas colored bathroom in front of the
bathtub and there are pastel lights hanging up outside of the doorway.
'2590': Two real teddy bears sitting on a wooden chair in a yard.
'2591': A couple of large elephants sleeping next to a baby elephant.
'2592': A cat laying down in a marble bathroom sink.
'2593': A group of people mingle on a yacht far from the coast.
'2594': Two customers and three employees interact in the deli.
'2595': Partial picture of a kitchen and a table and chairs under a lamp.
'2596': A black vase has four brown horses on it.
'2597': A person using an interactive gaming system while two people observe
from a couch.
'2598': The person is standing in the deep snow next to an igloo. The trees
are covered with snow.
'2599': A small, white formica kitchen with a refrigerator, sink and small
electrical appliances
'2600': People are walking in the rain holding umbrellas.
'2601': A bowl of broccoli with shrimp and sauce over it.
'2602': A young boy is running with a flying kite in the park.
'2603': A pair of girls sit on a bench outside.
'2604': A bookshelf that has various books and decorations on it.
'2605': A lamp sitting on top of a bed next to a little girl.
'2606': An umbrella next to a backyard patio is upturned from the wind.
'2607': A display of several plain decorated pink and white cakes.
'2608': 'Small personal pizza with bacon and spinach. '
'2609': A street sign leans beside stop signs and a light post across from
buildings.
'2610': A woman sitting on chair holding an umbrella.
'2611': The two hot dogs on the ceramic plate are ready to be eaten.
'2612': A person riding waves in a body of water.
'2613': 'A row of parking meters in front of a stop sign. '
'2614': A cat looks interested as he sits in the front seat of a car.
'2615': A picture of a woman wearing a suit, hat, and sunglasses.
'2616': A bathroom with a blue walls and a white shower curtain and tiles.
'2617': Several different kinds of pizzas and sushi rolls are displayed
on a buffet line.
'2618': A man talking on a phone sitting next to glasses.
'2619': A teddy bear and a realistic fish set next to each other.
'2620': A dog and a person are watching television together with a plant
in the room.
'2621': A meal of golden toast slices with condiments on the side.
'2622': A Teddy bear sits on a floral patterned chair.
'2623': Trade show visitors and a magician are with workers in a vendor
booth.
'2624': The woman is holding her phone toward the dog hanging out the car
window.
'2625': Several slices of meat are on top of a pizza.
'2626': The waffle has blueberries and banana slices with a strawberry in
the middle.
'2627': Spread coated with crackers, sitting on a plate, ready to eat.
'2628': People using electronic devises all facing in the same direction.
'2629': A large white dog jumping over a bed.
'2630': 'A man walking while holding a ball in his hand. '
'2631': A bus and other cars are driving down a multi-laned street with
a skateboard ramp on the side.
'2632': A smiling pair of skiers with a huge snow covered mountain behind
them.
'2633': A man and a child walking their dog down a sidewalk.
'2634': A woman is standing next to an old wooden bench.
'2635': Three stuffed animals lay in a bed cuddled together next to a lamp.
'2636': A number of cows standing near one another.
'2637': a group of people standing and holding video game remote controllers.
'2638': A person holding a smart device in their left hand.
'2639': A man is bluing a kite in an open area.
'2640': An giraffe and two ostriches at a zoo enclosure habitat.
'2641': A person skiing down a mountain in the snow while a helicopter flies
overhead.
'2642': 'All of the cows are poking their heads out, eating some hay. '
'2643': Two women play Wii in a room with a white sofa.
'2644': Two cats are lying on the brown couch.
'2645': A group of kids and a couple of women are holding video game console
controllers.
'2646': This is a plate holding a veggie sandwich.
'2647': A plate of shredded chicken with a mushroom cream sauce.
'2648': A red car is parked at a traffic light.
'2649': A train is traveling on the railroad alone.
'2650': School class photo from the boys school of Standard South Carolina
'2651': A woman and a child are skiing on a path by some trees.
'2652': A group of people crossing a street far from a bend traffic light.
'2653': A stuffed bear is sitting outside an eatery.
'2654': A yellow and blue plant flying in a gray sky.
'2655': Two women in round glasses using Nintendo wii remote controllers.
'2656': A fluffy white chair that faces towards a television.
'2657': A street pole with bicycle lane and deliveries signs, as well as
one ways, street, and no walking signs.
'2658': An old man standing near a bench in a public park.
'2659': Pizza and empty glasses on the dinner table.
'2660': Seagulls are flying near a beach at sunset.
'2661': A grilled sandwich with cheese served on a tray
'2662': A grey and white cat and a dog lay in a sink.
'2663': A person standing next to a bike on top of a road.
'2664': A crowd of elk walking along a snow covered mountain side.
'2665': A street sign sitting on the side of a road.
'2666': An orange and white cat laying on top of a bag of luggage.
'2667': A pair of girls stand next to a bench outside.
'2668': A person jumps in the air and catches a kite and a Frisbee at the
beach.
'2669': A military jet and a bird are flying through the air, overhead.
'2670': Two river otters are playing on a log.
'2671': 'Man blowing out white candles on top of a brown cake. '
'2672': Those zebras may have lost their parents and they could be nearby.
'2673': A pillow covered reading chair in the corner of the living room
'2674': View of jet airliner taking off over tree top.
'2675': A clean industrial spacecraft with no one in it.
'2676': There is an elderly woman taking a photo of herself in the mirror.
'2677': A giraffe walks around its exhibit at the zoo.
'2678': A group of people wait near a wedding procession of cars, one of
them juggling two apples.
'2679': A man skiing down a snowy hill alone.
'2680': Extreme close up of a cooked chicken, carrot, and broccoli dish.
'2681': A room with a bunch of stainless steel items and other accessories.
'2682': A woman walking down a street talking on a cell phone.
'2683': A giraffe lying down next to a very large tree.
'2684': The vintage shiny motorcycle has been put on display.
'2685': A room full of colorful furniture and a bookshelf.
'2686': 'A plate of cooked noodles, a fork, and a knife is displayed. '
'2687': The skier is happy to have won the race and received a medal.
'2688': A man and a child are holding tennis rackets in their hands while
on the tennis court.
'2689': Two adult pheasants walking slowly across a street
'2690': A man and a woman are in action on a green tennis court.
'2691': A computer desk has two curved monitors and other equipment on it.
'2692': Several helicopters that are flying in the air performing tricks.
'2693': A little girl and her grandpa are standing in an airport.
'2694': Frosted and sprinkled donuts stacked on a paper plate next to a
cup of coffee.
'2695': A zebra playing on a field with logs of tree
'2696': A hand holding a child's pair of scissors.
'2697': A man and a woman lean forward while swinging tennis rackets.
'2698': A black mouse with a pen holder and blue light-up parts is next
to a gray keyboard.
'2699': the bathroom has a mirror and a tiled sink
'2700': A very big whit jacuzzi with a shabby looking shower.
'2701': A blue train on some train tracks about to go under a bridge and
a hot air balloon floating above it.
'2702': Large work trucks sitting on the side of the street.
'2703': Some seals are riding surfboards on a wave.
'2704': A street with orange cones and a work truck on it.
'2705': A woman of Asian heritage eating a sandwich at a table with two
cups of hot beverages.
'2706': A group of men and women standing around a sidewalk together.
'2707': A woman wearing a hat while standing in front of a bathroom mirror.
'2708': A brown bird has a small yellow beak.
'2709': A cat sleeping on the counter next to the sink.
'2710': A family collecting seashells on a wet sandy beach.
'2711': An image of a herd of crocodiles in the water.
'2712': A street lined with cones with people up and down the sidewalk and
flower pots.
'2713': A flock of seagulls flying over the water together.
'2714': Three people are standing under the ornate arch for a ski race.
'2715': A group of giraffes in a field by some trees.
'2716': A laptop computer sitting on top of a white desk with a lamp.
'2717': A desk with two computer screens and a Cecil Cooper bobble head.
'2718': A bench painted exactly as the patriotic flag.
'2719': A bald woman with her luggage at a train station.
'2720': Reading materials are stowed above a zebra themed bed and a desk
for relaxation and work.
'2721': A hairbrush sits next to a toothbrush and a toy.
'2722': a close up of a polar bear in front of a camera
'2723': A group of people paddle a long canoe in a clear lake bordered by
foggy pine woods.
'2724': Two tennis players on the court and waiting to play.
'2725': A tray of food on the top of a table.
'2726': A stuffed animal lying next to a tooth brush.
'2727': a living room with a couch and large television
'2728': A girl with a ball facing a man with a racquet.
'2729': A person presses the power button on a blender containing liquid
'2730': A row of frosty refrigerator freezers sitting next to each other.
'2731': An assortment of crackers, dip, veggies, and juice are sitting on
a white counter.
'2732': An elderly man holding a bat on top of a baseball field.
'2733': Women in fancy hats serving cakes at a candle lit table
'2734': A cat that is laying down on a chair.
'2735': An airplane is flying over a blue sky.
'2736': Pineapples being sold and a man looking at them.
'2737': A beautiful woman cooking food in a kitchen.
'2738': A hot air balloon floating over a dry grass field.
'2739': Pedestrians walking on a sidewalk by an upright traffic light.
'2740': A woman riding skis across snow covered ground with a snowman in
the background.
'2741': A person presses the power button beside a blender containing liquid.
'2742': Three people are sitting under the arch for a ski race.
'2743': Many pieces of luggage and backpacks gather together, all with tags
attached.
'2744': A little girl is flying her kite in an open field.
'2745': Young woman with sheep on straw covered floor.
'2746': Two glass bottles sitting on top of a wooden table.
'2747': Fancy food in a bowl on a wooden table.
'2748': 'Two people sitting on a bench overlooking a body of water. '
'2749': an airplane parked in the dark on a runway
'2750': A bear laying in a canvas type net
'2751': A little girl and a boy are kneeling in front of an open refrigerator.
'2752': An older bicycle with decorative murals painted on.
'2753': The picture of the couple in bed is displayed in the small window.
'2754': Four zebras on a dirt path looking in different directions.
'2755': A herd of cows laying on rocks and dry grass.
'2756': A group of people standing on a beach riding surfboards.
'2757': A group of people sitting in front of a TV, holding Nintendo Wii
controllers.
'2758': A city scape scene with a train yard in the foreground.
'2759': A sandwich on a plate served with garnish.
'2760': Seven jets fly in formation leaving trails of smoke behind them.
'2761': A white car and a black truck parked parallel from one another,
with a white bus nearby.
'2762': An indoor farm area with cows in individual stations sitting and
standing on hay.
'2763': Brown dog lying on unmade bed in bedroom of home.
'2764': There is a fireplug at the corner of this intersection in the residential
section of town.
'2765': the surfer is riding the wave sideways along the beach.
'2766': 'Several cars travelling on a street with several traffic lights. '
'2767': A bunch of spotted sheep are walking around bored.
'2768': A long-haired man standing outside holding a racquet with both hands.
'2769': A man is flying a kite and sitting under an umbrella at the beach.
'2770': Extreme close up of a cooked chicken, mushroom, and broccoli dish.
'2771': Fancy food on a plate on a wooden table.
'2772': An extremely focused man playing with the Wii.
'2773': A utility vehicle parked in a wild bare field.
'2774': A desk with a keyboard, mouse and two monitors in it.
'2775': A plate of finger foods next to a yellow and raspberry topped cake.
'2776': A person in a snowy outfit is skiing down a hill.
'2777': A large tall bridge with a clock on the top.
'2778': A cat is sleeping while sitting in a sink.
'2779': A view of a baby goat sitting and a mother goat standing in a field.
'2780': This guy is looking at his cell phone while brushing his teeth.
'2781': A man standing by the ocean with something in his hand.
'2782': Leizan fire hydrant with Red trees around it.
'2783': A small bathroom has a cracked sink and a storage rack over the
toilet.
'2784': A man jumping over obstacles while riding a skateboard.
'2785': A group of people on the ski slope in their snowboards and skis.
'2786': Several desserts sitting on a wooden counter with display cards
in front of them.
'2787': A woman in black shirt and skirt playing a game of tennis.
'2788': A man is playing catch with a child and two dogs.
'2789': A red fire hydrant on a city sidewalk.
'2790': There are electronic devices on top of the two laptops.
'2791': 'Group of men sitting on bicycles watching a show on stage. '
'2792': A man watching two elephants behind a wire fence.
'2793': A batter getting ready to bat with the catcher and umpire in front
of him.
'2794': A tennis player grabs an extra ball from his pocket.
'2795': A woman on a tennis court holding a racket.
'2796': A BOY WITH A BLUE SHIRT AND LEATHER PANTS DOING A TRICK WITH HIS
SKATEBOARD.
'2797': A man beside a long exposure picture is riding an electric skateboard.
'2798': A skateboarder balances on the top of a ramp.
'2799': Three teddy bears laying in bed under the covers.
'2800': A man with an umbrella on a commuter train takes a snooze next to
a woman.
'2801': A woman sits on her luggage on a platform.
'2802': A rabbit sitting on top of a bench in a field.
'2803': A man wearing sunglasses and a black hat.
'2804': A zebra grazes on some green grass next to a riverbank.
'2805': A sheep standing in a dry grass field.
'2806': A fire hydrant beside a leafy green bush on a green lawn.
'2807': A floor with several different clocks on it, in both traditional
and modern styles.
'2808': A school bus travels along the road by a hill side.
'2809': Some spotted horse running around in a field.
'2810': A group of young children sitting around a vanilla cake.
'2811': A bird and a squirrel sit atop a wooden post and watch their surroundings.
'2812': A dog that is wearing a sun hat smiling.
'2813': A cat is drinking out of a glass on top of a table next to a vase.
'2814': A man and a child are riding snowboards on top of snow covered ground.
'2815': A group of sheep grazing in a grassy valley.
'2816': A two layer cake sitting on top of a marble table.
'2817': A bed next to a tent with a colorful ceiling.
'2818': A cart full of bananas being sold outside.
'2819': A large group of zebras and giraffes graze in the grasslands of
Africa.
'2820': A trolley train is traveling on a track along the beach and pier.
'2821': A young man riding a skateboard with red wheels.
'2822': A pan filled with mystery goo next to another pan.
'2823': A long brown and white room with an armchair and a kitchen.
'2824': A white bus is pulled up to a sidewalk.
'2825': A gamer holding a controller and throwing away a keyboard.
'2826': Two camels standing outside near a building.
'2827': a road filled with cars in a desert
'2828': A bus traveling down a straight road behind a black car.
'2829': A cat and dog napping together on the couch.
'2830': A biplane flying upside down leaving a large vapor trail.
'2831': A pile of luggage and a computer in a room with two women nearby.
'2832': Two little girls standing next to each other making cupcakes.
'2833': A couple of people that are standing near a train.
'2834': A little girl laughs and runs with a kite in a grassy park.
'2835': a big hill that has a bunch of snow on it
'2836': A plaster external wall with multiple old paper images attached.
'2837': A couple sitting at a table with a couple of pizzas and a pitcher
of soda.
'2838': A woman and a child in grey shirts and hats are sitting on a wooden
bench.
'2839': A bathroom with a sink, toilet and tub in front of a foggy large
mirror.
'2840': A little boy sitting down with his blanket and a toy.
'2841': 'A man in a blue coat skiing through a snowy field. '
'2842': Two brown bears swimming together in the water.
'2843': A dimly-lit inside view of a large decorated church.
'2844': Two stop street signs crossing each other above a green sign.
'2845': A grey motorcycle on dirt road next to a building.
'2846': A plate of food attractively arranged on a table.
'2847': A person is sitting under a colorful umbrella.
'2848': There is one desktop computer and two laptops on the desk.
'2849': A couple of computer monitors sitting on top of a wooden desk.
'2850': A group of zebra standing on top of a grass covered hillside.
'2851': A serious man is putting down video game controllers.
'2852': 'A group of zebras stand together by a rock wall. '
'2853': The man hugs the girl on the head as she laughs.
'2854': 'Blue plate with green, white, and red vegetables on it. '
'2855': An image of a plate of food with meat, fruit, and veggies.
'2856': A child and a cat hold toothbrushes halfway out of their mouths
while brushing their teeth.
'2857': A bear and cub on a marble display with a vase.
'2858': A man sitting at a wooden bench and table with an open umbrella
sitting on the table.
'2859': This is an image of a plate of pizza and a bowl of fruit with a
toy bunny.
'2860': A green car and a motorcycle have parked on the curb in a parking
lot.
'2861': A beach dock area lined with boats, and a small shack with a scooter
and small cart near it.
'2862': Several jets that are taxiing on the runway preparing for takeoff.
'2863': a room with a tv and some different types of couches
'2864': A metal utility pole sports several street signs.
'2865': Two women in colorful dresses lean against a white wall and one
of them is on a cell phone.
'2866': A woman is standing on a tennis court with a racket.
'2867': People in the mountains enjoying the day and hiking.
'2868': A man standing on an arid green field under a kite.
'2869': A man in a blue shirt laying next to a yellow surfboard.
'2870': A young girl and a boy with green jackets are eating a piece of
pepperoni pizza.
'2871': Cyclists riding on a sidewalk by a badly tipped traffic light.
'2872': A couple of silver cars parked around a fire hydrant and a bench.
'2873': a slice of pizza sitting on top of a table.
'2874': A man riding a bicycle with a boy on the back of it.
'2875': A baby sitting on a blanket between a lady and a man on a bench
under a tree.
'2876': Many children surrounded around a person with a beard on.
'2877': A large square cake is sitting on a plate.
'2878': A man and a woman are cooking in a kitchen.
'2879': A man in black carrying a sheep on his shoulders and a backpack.
'2880': A man and a woman sitting next to each other.
'2881': A short tower with a clock stands in front of a skyscraper.
'2882': Several people are riding the waves on their surfboards.
'2883': A woman sitting on top of a wooden bench near a park.
'2884': A vintage yellow refrigerator surrounded by wood cabinetry and a
crystal chandelier hanging from the ceiling.
'2885': A black and white image of people in clown costumes sitting near
a santa.
'2886': A herd of gazelle in dry vegetation near dry trees.
'2887': A person uses a black computer keyboard on a wooden desk.
'2888': A little girl kneeling down to pet two dogs on a leash.
'2889': Kids in a white shirt and gray pants walk toward a grassy area as
a man in baseball uniforms and an umpire are near them.
'2890': A person frying some curry-spiced food on a stove.
'2891': A bunch of open refrigerators in front of an old door.
'2892': A brown dog sitting on the ground with a metal bowl in front of
him.
'2893': A big heard of cows walking down a road in a row with yellow tags
on their ears.
'2894': A bathroom sink beside a toilet and blue trashcan.
'2895': A man and young girl sit behind a display of flowers.
'2896': An old woman sitting on a bench next to a fence.
'2897': The plow truck driver is talking to his neighbor.
'2898': A snowboarder and two people on skis in front of a ski lift.
'2899': A WHITE GOAT CLIMBING UP TO EAT SOME GRASS
'2900': A woman with a cell phone and a black dress looks at her large black
tear drop earrings.
'2901': A group of zebras that are standing in the dirt.
'2902': A bird sits atop a wooden post and watches its surroundings
'2903': Four giraffes standing around while three zebras walk by.
'2904': a person talking to referees on a tennis court.
'2905': A photo of a man, his wife, and their child on a bed.
'2906': This is an image of several zebra and a giraffe in a zoo.
'2907': A zebra all by itself in the green forest.
'2908': A man is helping an athlete next to a sport field.
'2909': Various size white refrigerators on display in dark room.
'2910': A person is using a stove and a microwave to cook some kind of food.
'2911': A couple and a dog are dressed in black and the male has a drink.
'2912': A mailbox beside a leafy green bush on a green lawn.
'2913': Gray food is shown on the small airplane tray.
'2914': A teddy bear sitting on the ground in front of many boxes.
'2915': A man and a girl under an umbrella at the beach.
'2916': A plate of cheese bread next to bread sticks and sparkling water.
'2917': A plate with a big tasty looking waffle topped with fruit.
'2918': A girl in plain dress sitting next to a white teddy bear.
'2919': A giraffe standing on a fence to eat some grass.
'2920': An old man sitting by a fountain in a public park.
'2921': A brown vase has four black horses on it.
'2922': a tray of food on a wooden table
'2923': A sofa sitting in a room near a mirror.
'2924': One train engine moves down the track with an orange train car behind
it.
'2925': A fleecy group of sheep grazing in a grassy field.
'2926': A herd of cattle is feeding at the river's edge while fish swim
by.
'2927': Giraffes and lions are in their wood and grass zoo enclosure.
'2928': Man sleeping in his bedroom next to a cat.
'2929': The plow truck driver and a policeman are talking to his neighbor.
'2930': There is a living room with a wide open view
'2931': What appears to be a beach-side eatery has an outdoor area with
high stools and a tilted walkway with a sign and a bench with a logo on
it, the whole of which rests on a metal railing.
'2932': A young boy dressed in yellow holding a pizza in a box.
'2933': A modern yellow plane is flying in the sky.
'2934': A bird leaving a trail in the sky.
'2935': An elephant walks alone past some big rocks boulders in an open
field
'2936': A tan horse with a blond mane inside of a coral.
'2937': Two sandwiches have been halved and placed on a plate with a spoon
and a knife.
'2938': A city sidewalk without people walking up and down.
'2939': A small airliner with a kangaroo on the tail wing.
'2940': The TV screen is displaying a very important message.
'2941': A boy in a plaid tie holding a small suit case.
'2942': A bathroom with a black tub and black cabinets has a white pattern
on the floor.
'2943': A market stand with many similar kinds of fruit.
'2944': Bicycles, trucks, and carriages are traveling on the road alongside
cars.
'2945': A white bicycle parked on a street in the rain.
'2946': A cat and two dogs are laying down on a brown couch.
'2947': A bowl full of marshmallows, chocolate, cookies, and other delicious
treats.
'2948': A man with a blender is at a kitchen counter by a dog.
'2949': A tractor and two boats beside the water.
'2950': A gazelle grazes in a field adjacent to trees.
'2951': A trio of teddy bears spread out on a bed.
'2952': A broken clock sits above green bushes under a blue sky.
'2953': An old time looking painting surrounded by greenery.
'2954': Two women wearing socks holding game controllers in each hand.
'2955': A red toilet is in a very small bathroom with a big mirror.
'2956': A box of green pizza with cheese peppers in a box.
'2957': A dog sitting in front of a laptop on top of a bed
'2958': A young Asian woman model sitting on a folding chair in a sleeveless
dress, sneakers and holding an umbrella.
'2959': A man in the air with a skateboard below a half pipe.
'2960': 'A couple cuts into a wedding cake with grapes and oranges. '
'2961': A tripod is on top of a laptop.
'2962': Trees are surrounding a water puddle.
'2963': A woman is sitting in a chair with an umbrella and a book.
'2964': A solitary zebra standing in the dirt.
'2965': A toilet covered in matte sitting inside of a room.
'2966': A cat is sleeping on the window sill.
'2967': A street scene with a car passing by.
'2968': A far away shot of a street sign with a sky background.
'2969': A surfing instructor teaches students with fluorescent surfboards
on a beach in front of large hotel buildings.
'2970': A man sitting on a bench with a shopping bag next to him on a train.
'2971': A person tries to guide three horses into a trailer.
'2972': A herd of cattle resting on a lush green field.
'2973': A grandpa and a douchey kid in a vest are about to fail at kite
flying.
'2974': The sculpture is of a vase of flowers on a table.
'2975': A dusky evening with a green street light turned off.
'2976': a group of giraffes walking towards a single tree.
'2977': a couple of yellow signs are near a taxi
'2978': A younger woman is talking in front of an elephant.
'2979': Three workers stand next to each other with their fruits and baked
goods behind them.
'2980': A woman holding a cold dog on the street.
'2981': A man and a child in neon green shirts and black pants are holding
pink umbrellas.
'2982': A cat and a book are laying on top of a chair in the living room.
'2983': A wooden dining room features large cabinets and a marble counter
top.
'2984': A cat and a dog rest together on a hideous orange couch.
'2985': Two naked babies in a bathtub in a bathroom.
'2986': A military jet flying through the air, overhead.
'2987': A person holds a phone in a car with the window rolled down
'2988': A red stop sign with a green street sign posted above it.
'2989': A bedroom with two beds placed next to one another with a desk to
one side and a small window on the opposite side.
'2990': Someone feeding a bird a piece of carrot.
'2991': A corded laptop with a Windows mouse on top of a counter.
'2992': Some couples are sitting on a statue of a horse and a plant.
'2993': A dog and a person are watching television together.
'2994': A sport team is posing in a park.
'2995': A flat screen TV replaces a bathroom mirror.
'2996': People walk down a crowded street at a festival
'2997': A group of school teachers posing for a picture.
'2998': A crying woman sitting on railroad tracks with a suitcase beside
her.
'2999': Some are sitting outside a building with suitcases.
'3000': A man in shorts and a long sleeve shirt playing tennis.
'3001': A man taking a picture of his reflection in an engraved motorcycle
mirror.
'3002': A man in striped white shirt and shorts playing a game of tennis.
'3003': 'A man surfing the waves on a surfboard in the ocean. '
'3004': A stack of random books are placed in front of a computer.
'3005': A moped and utility truck next to a large building.
'3006': A person in a helmet is riding a skateboard.
'3007': A zebra standing in a grassy field by a woods.
'3008': a gray white and black dog is laying on a brown couch
'3009': Two men playing a video game on the roof of the house.
'3010': A smiling grandmother and a very cute small girl sitting together.
'3011': A group of zebras walking away from trees and gazelles.
'3012': A bathroom with black and white toilet and a high-gloss tiled floor.
'3013': A man on a skateboard riding by food vendors.
'3014': Three snow boards behind trophies in a window.
'3015': a kitchen with two pineapples on the counter and a wok pot on the
burner.
'3016': a very clean sink in a bathroom and a towel
'3017': A Polar Bear walks toward water, while a small bird lands on the
opposite bank.
'3018': A herd of cement elephants standing next to each other on a block
of gray.
'3019': A woman skiing down a snowy hill alone.
'3020': A man in the kitchen standing with his dog next to the microwave.
'3021': This is two birds pecking at the remnants of a burger at an outdoor
restaurant.
'3022': a pancake topped with rice, spinach, and brocolli
'3023': An ornate clock on a building with tree branches.
'3024': A picture and a book of two young kids posing.
'3025': A person organizing many papers and cutting one with scissors.
'3026': 'A group of people standing near the motorcycles on the street. '
'3027': The backsides of people as they wait for a train leaving the station.
'3028': A man wearing a top hat, white gloves, and a red tie.
'3029': Two giraffes in a sanctuary standing close to the wall
'3030': A smiling man in a floral hat is wearing sunglasses.
'3031': Luggage is arranged in groups beside a concrete platform.
'3032': a bench with a couple of purple benches
'3033': A man, two kids and a dog are playing Frisbee.
'3034': A group of young people standing at the bottom of a snow covered
slope.
'3035': A young man balances himself as he tilts his rollerblades up at
the edge of an obstacle with his skateboard nearby.
'3036': A little boy with a red baseball cap watching tennis.
'3037': Two people outside of a stone building near a red fire hydrant.
'3038': Three hotdogs are prepared and loaded in different ways.
'3039': A sheep is standing in front of a river and some grass.
'3040': A cat is laying in an open suitcase on top of some clothes.
'3041': A bald smiling guy sitting at a table with some food.
'3042': A light that is sitting underneath a umbrella.
'3043': A green park bench underneath a tree in a park.
'3044': Two green street signs with a red stop sign on top of them.
'3045': A young girl in a yellow top poses with a white tennis racket.
'3046': A cat running with its tail straight up.
'3047': A woman standing next to a herd of animals.
'3048': A group of people playing with interactive gaming units and board
games.
'3049': A man is spilling a beverage from a red bottle.
'3050': A woman is sitting on a bench and a statue sits on a cement block.
'3051': 'A woman holding a phone in one hand up to her ear. '
'3052': a flat screen TV embedded in a restroom mirror.
'3053': The man is skiing down the snowy slopes.
'3054': A man in a crowd taking pictures with a cell phone.
'3055': Two planes fly in the air near each other.
'3056': Pizza and full glasses on the dinner table.
'3057': A row of white toilets and a sink sitting on top of a dirt ground.
'3058': people standing near a table with open pizza boxes
'3059': A man has a stick, which is holding some bread, inside his fingers.
'3060': A cat in a bedroom sitting on a striped covered bed.
'3061': A woman skiing off a path by some trees.
'3062': A baseball player catching a ball during a game.
'3063': A large jetliner is flying over an airport runway.
'3064': a person on skis makes her way through the snow
'3065': A bridled mule and a peacock stand in front of trees and leaves.
'3066': 'A surfboard leaning on a wheelbarrow in a backyard. '
'3067': The nomadic sheepherd walks in front of a large group of livestock
in their desert habitat.
'3068': Four men feeding a giraffe grass and leaves.
'3069': Sliced mangoes sit on top of a pastry dish on a plate.
'3070': A man with a hairbrush taking a selfie in the bathroom mirror.
'3071': 'A man jumping up on a blue tennis court with a black tennis racket
in his hand. '
'3072': A husky dog sitting on the front seat of a car
'3073': The men are enjoying the very large pizzas.
'3074': A man sitting in front of a laptop computer in an office.
'3075': A slice of pizza that is on top of a napkin.
'3076': A bathroom has yellow walls, brown floors, and a closet in it.
'3077': The woman has a knife and fork for eating the big pizza.
'3078': A group of people sit at a table with cake.
'3079': There is a white horse pulling a wagon and a trolley behind it.
'3080': A man with a laptop is looking over paperwork while holding a pen
on a desk.
'3081': Gold trimmed clock on top of roof of building
'3082': A clock sits above blue bushes under a green sky.
'3083': A small monkey sitting at the top of a banana tree.
'3084': Two stuffed bears are positioned at a table without a jar of honey.
'3085': A gamer holding a controller and wearing a headset while using a
keyboard.
'3086': A baseball player in a sleeveless red shirt is ready to hit the
ball.
'3087': A tall giraffe stretches to reach high leaves on a tree.
'3088': A guy standing on a snowboard in the snow.
'3089': A closeup on some chocolate cake has a fork by it.
'3090': A group of sheep are grazing in a grassy field next to a boulder.
'3091': a bunch of vehicles are coming down the road
'3092': A woman with graying hair looks down at a stand full of yellow bananas.
'3093': a bathroom with a silver walls and a toilet with a black toilet
seat.
'3094': Some horses standing near each other in a fenced in area with jumps.
'3095': A bunch of mini bananas are sitting in a bowl of apples and oranges.
'3096': A train on the tracks with its lights on
'3097': a red and grey fire hydrant on a street corner.
'3098': A baby elephant stands near to four larger adult elephants.
'3099': A wooden table holding two vases of flowers.
'3100': A bathroom with a bathtub with a light on above it.
'3101': Two computers sitting on top of a desk.
'3102': A white hot air balloon floats in the cloudy sky.
'3103': A skier upright and skiing down a slope.
'3104': A teen boy is skateboarding on the edge of a cement wall.
'3105': A man holding a racquet on top of a tennis court.
'3106': A man in white shirt and shorts playing a game of tennis.
'3107': A white and brown pigeon sitting alone on a bench.
'3108': Two lions have a big log in their enclosure.
'3109': Black and white photograph of women on an old park bench
'3110': 'Three big horn sheep are in an enclosed pasture. '
'3111': A man and a woman riding a bicycle with a boy on the back of it.
'3112': A boy feeding four giraffes at a zoo from his hand
'3113': Two men ordering food from a large outside restaurant.
'3114': A pole with stop lights and a bicycle lane sign.
'3115': A person jumping a glittery snow board in the air.
'3116': 'A bathroom has a sink, toilet, and trash can in it. '
'3117': A plate holding a grilled vegan sandwich and bowl of soup.
'3118': A tall church tower sitting on the side of a road.
'3119': A man swimming in the ocean near a sandy beach.
'3120': Two zebras in a jungle area fighting in a dirt area.
'3121': Two laptops next to a computer, keyboards and some mouses.
'3122': The microwaves are lined up against the wall.
'3123': A man and woman sitting on a sofa watching tv.
'3124': People sitting in a waiting room with a flat screen TV.
'3125': Three people are in a red and yellow boat in a large lake and one
woman holds a small umbrella.
'3126': A woman holding a cell phone with both hands.
'3127': A parking meter is on a sidewalk next to a bench and some green
bushes.
'3128': A beach full of umbrellas and surfers inside and outside of the
water.
'3129': 'The vanity is decorated with a red flower arrangement and glass
candles and perfume bottles. '
'3130': The couple are dressed up and posing for photos.
'3131': A large clock and a billboard on the side of a building above cars
on the street.
'3132': A bedroom with a bed and a flat screen TV on top of a glass dresser.
'3133': A dog looks interested as he sits in the front seat of a car.
'3134': A person grabbing a slice of pizza from a pizza box.
'3135': A donut being used as an ornament for a Halloween tree.
'3136': A man in a yellow shirt rides a red surfboard on light blue water.
'3137': A very cute small red bench by some tall stools.
'3138': A line of small dolls are in front of several DVD cases.
'3139': A couple stands next to a wedding cake with sparklers on it.
'3140': a woman in a white top at a table with food
'3141': A double-decker bus is parked in a large field with a hot air balloon
floating above it.
'3142': A pizza in a pan topped with cheese and vegetables.
'3143': An ornate table with food and a glass of red wine.
'3144': a man walking down a street smoking a cigarette
'3145': A man in uniform rides a horse down the cobblestoned street.
'3146': Two slices of chicken pizza on a plate.
'3147': A living room with a white sofa and a gray rug.
'3148': A woman wearing wireless headphones looking at some electronics.
'3149': A group of cows standing on top of a shore near water.
'3150': The large bear is made up of clay.
'3151': A sheep is walking along a wide field.
'3152': A pile of luggage stacked on top of a white fence.
'3153': Two little girls standing far apart from each other making pizza.
'3154': A motorcycle is parked inside of a building next to a piano.
'3155': A cat is sitting on top of a bench under a tree in a field.
'3156': there are two large dogs sleeping on the couch
'3157': The father and daughter are under an umbrella on the beach.
'3158': A motorcycle is on esplanade at the beach party.
'3159': A bear standing on rocks and his ears are up near a river.
'3160': A living room with white furniture, a small wooden table, and a
cozy fireplace.
'3161': A boy with a kite is standing on a sidewalk.
'3162': A man holding a silver flip phone open behind his face.
'3163': Pizza and empty plates on the dinner table.
'3164': A girl shares a bite of her pepperoni pizza.
'3165': A plate of cooked noodles, a fork, a knife, and a spoon are displayed.
'3166': A group of people mingle on a yacht beside the coast.
'3167': A woman standing behind a fence with a banana in her hand looking
at an elephant.
'3168': Many children surrounded around a person with a beard on, and three
dogs.
'3169': A white bike parked at a stop next to a crowd.
'3170': A cat is drinking something from a glass.
'3171': A tooth brush sits across from a toy.
'3172': Two giraffes eat from a tall food post in their enclosure.
'3173': The baby is holding and looking at his tooth brush.
'3174': A koala sitting on top of a rock.
'3175': A street sign mounted to the side of a pole.
'3176': A coin with a portrait and a book on the table.
'3177': A woman is standing in the middle of the snow with ski sticks as
the sun rises in the background.
'3178': A hot dog on a bun with spicy mustard and french fries on the side.
'3179': A bobble head is shown next to computer screens.
'3180': Scissors with orange handles, pens, and notebooks are in a container.
'3181': Two brown bears playing open mouthed in a pond.
'3182': Rows of various colored suitcases at an airport.
'3183': A scale with a musical instrument sitting on top of it.
'3184': An old fashioned refrigerator sitting in front of wooden cabinets.
'3185': A metallic cup, toothbrushes, and other items sit on the side of
a small sink.
'3186': Two men ride scooters and bikes next to the cars in the street.
'3187': 'A baseball player crosses home plate as his teammate waits. '
'3188': A pair of girls sit on a bench next to a fountain outside.
'3189': A group of people in a field with various kites in the sky.
'3190': A cat laying on top of a rocking chair in the living room.
'3191': Four boys are feeding a giraffe at a zoo from their hands.
'3192': A silver desk is covered with papers and has a white laptop on it.
'3193': A young man riding a skateboard on a stone wall.
'3194': A woman on her cellphone walking on the sidewalk in a city.
'3195': Young women having a meal at a table.
'3196': An odd looking toilet is against a wall with a mirror hanging above
it.
'3197': People in a shop looking at a wide variety of pottery.
'3198': A food that is topped with bananas and a brown sauce.
'3199': Two people standing next to a miniature replica of a suitcase.
'3200': A person with a backpack and a camera and a walking stick.
'3201': a big elephant walks underneath a small elephant.
'3202': A bench next to cement in a park.
'3203': Some paintbrushes that have been grouped together.
'3204': Birds with black and white beaks and long orange feathers in a park.
'3205': A man is falling off a snowboard on a snow covered slope.
'3206': People walk down a crowded street near a festival.
'3207': The asian dish is filled with several different ingredients.
'3208': A kitchen with a counter and a table with chairs.
'3209': A traffic light hanging in front of blossoming trees.
'3210': A colorful public restroom with plain walls and yellow counter.
'3211': A child places his hands on the head and neck of a sheep while another
sheep looks at his face.
'3212': A black and brown dog is running around with a heavy metal collar.
'3213': A kitchen with open appliances and black cupboards sits empty.
'3214': a white bus is sitting by a curb
'3215': 'A girl skis in a lot of snow. '
'3216': A man in a suit standing next to a control board and computer.
'3217': A giraffe grazing from two trees in a field.
'3218': Two giraffes stand together near rocks and a building.
'3219': A woman in period costume holds a dog in period costume.
'3220': A woman waiting on a bench on the sidewalk as birds go by.
'3221': A home bar with different drink ingredients under a disco ball and
a large decorative sign saying, "PUB".
'3222': A porcelain tea and bathroom set is hidden in a cabinet.
'3223': There is a woman and two men riding on an elephant.
'3224': A man is feeding a giraffe over a fence.
'3225': A person is cutting an apple and a cake on a table.
'3226': A man sitting at a table in front of a plate of food.
'3227': A man sitting near a table with a bunch of food on it
'3228': A stop sign standing up against a graffitied wall.
'3229': A blurry photograph of a lamppost clock and an arrangement of flowers
on a street corner.
'3230': A plate is filled with broccoli and noodles.
'3231': A zebra and a monkey playing on a field with logs of tree.
'3232': 'A large slice of pizza with cheese and marinara sauce on a plate. '
'3233': Two game birds with red heads flying over the sidewalk.
'3234': Two adults and children wearing baseball uniforms and hats.
'3235': A fully-stocked living room with no one in it.
'3236': A robot sitting next to a laptop in a dark room.
'3237': A photo of a tattooed woman that she took of herself.
'3238': An Apple user and his faithful cat surf the web.
'3239': A briefcase with decorated with stickers placed on a cracked table.
'3240': A view of a parking lot with parking meters.
'3241': Assorted meal sitting on a plate with a white glass of milk and
a glass of orange juice.
'3242': A businessman wearing a tie stands with his luggage.
'3243': A brown fuzzy bear standing in front of a leaf filled tree.
'3244': A view of a room that has a Christmas tree that has been decorated.
'3245': A male snowboarder stops and poses for a picture.
'3246': A cutting board with two slices of cheese and a whole banana unpealed.
'3247': Two young boys sitting on floor, one playing a computer game.
'3248': A bright bedroom with tulips on the table and plants by the window.
'3249': A man is swinging a golf club outside.
'3250': Road sigh on wooden pole shown upside down next to white wall.
'3251': A green street sign on a pole in front of a tall building.
'3252': 'a herd of cows lay down on some grass '
'3253': A strange plant growing next to a banana tree.
'3254': This is a snowboard with a ring in the middle of a back flip.
'3255': A herd of elephants standing in a water hole with a crowd of birds
watching.
'3256': Frosted and sprinkled donuts stacked on a paper plate.
'3257': 'a man skiing along a rail on the snowy hill '
'3258': A woman sitting on a ledge looking at two cellphones.
'3259': A picture of a restaurant interior is taken through a normal lens.
'3260': A group of musicians who are standing together.
'3261': A woman poses for a photo as she sits on a chair with an umbrella
'3262': A woman sitting in front of the Eiffel tower near dogs and pigeons.
'3263': A person walking along the beach with a surfboard and a kite.
'3264': A young kid and a dog are hitting a baseball with a bat close to
some chairs.
'3265': A guy wearing a tie has his hands and phone in his pockets.
'3266': A man wearing a red blazer is also wearing a blue hat.
'3267': A large silver refrigerator with two doors and an oven and an ice
dispenser.
'3268': A group of sheep in a rocky area with trees in the back ground.
'3269': pizza on a serving tray with empty plates next to it
'3270': A group of baseball players standing next to each other on top of
a synthetic field.
'3271': Two people using an interactive gaming system while a person observes
them from a couch.
'3272': A very clean sink and toilet paper in a bathroom with a towel.
'3273': Girls wash a boat while men look on.
'3274': a quarter is surrounded by some rocks with holes
'3275': A woman is high in the air as she skateboards on the ramp.
'3276': A red light is a wonderful contrast to the pink leaves on trees
'3277': A cat sleeping beside a laptop on a desk.
'3278': A green yellow and blue airplane is sitting on the runway.
'3279': A woman tennis player in a black army shirt and tennis skirt, swinging
a tennis racket.
'3280': A woman holding a tennis racquet on a court.
'3281': A man in uniform rides a horse down the street.
'3282': A group of people standing next to a double decker bus.
'3283': Several different opened umbrellas and chairs are all located near
each other.
'3284': A fold out sign next to a rainy sidewalk.
'3285': A cow and a dog standing in a grassy open field.
'3286': A zebra is bending down eating something off the ground while a
bird flies overhead.
'3287': a big heard of cows walking down a road in a row with green tags
on their ears
'3288': A wooden table with two chairs next to a sink.
'3289': The front edge of a well used skateboard.
'3290': An elderly woman sitting on the wooden bench resting.
'3291': An overgrown large statue of an elephant is attached to a business
sign.
'3292': The kitten is pawing its own image while gazing into the hand mirror.
'3293': A llama and a dog positions for a picture outside.
'3294': Two people carrying a giant suitcase in front of a building.
'3295': A pen is sitting on top of a laptop.
'3296': Arrows show what to do with the plates of food.
'3297': A toilet in a bathroom next to a sink.
'3298': Two stuffed animals in a wooden outdoor chair.
'3299': Several children are around a table at a birthday party.
'3300': 'A woman laying down on a bathroom floor by a trash can. '
'3301': A sheep standing up against the side of a house surrounded by grass.
'3302': A toddler in a pink shirt sits on the lap of a woman in an armchair.
'3303': Four smaller rabbits are hopping away from the women on the bench.
'3304': A young boy in a black jacket riding a white horse.
'3305': A painted fire hydrant is on the ground near an old rusted wall.
'3306': A crate on top of a car holding various luggage.
'3307': A display case in a bakery filled with donuts.
'3308': A spotted zebra grazes in a field adjacent to trees.
'3309': A woman with a tennis racket gets ready to swing her racket.
'3310': A man with a toothbrush taking a selfie in the bathroom mirror
'3311': A white airplane hauling cargo through the sky.
'3312': A zebra and two large giraffes inside a fenced area stand together
near many rocks.
'3313': 'A zebra grazes in a field adjacent to trees. '
'3314': A cat looking at another cat on the television.
'3315': 'a black goat standing next to two white goats '
'3316': The lion has his chin up as he lies on his chest.
'3317': Three giraffe's leaning over to get a sip of water.
'3318': A white airplane is driving down the runway.
'3319': An oak wood desk with a laptop computer sitting on it.
'3320': A striped patio umbrella pointed inside out over a picnic table.
'3321': 'Nice furniture is arranged in a fancy looking house. '
'3322': Person skiing on snowy slopes with wires above
'3323': A large dining room features wooden cabinets and a circular marble
counter top.
'3324': A man flying through the air while riding a bike.
'3325': Several zebras play in the green grass in the pasture.
'3326': A woman tennis player serving a tennis ball.
'3327': Four people battling the waves on the beach.
'3328': 'A small clean bathroom that is well lit. '
'3329': A group of people walking down a sidewalk and a bicycle passing
by.
'3330': There is a living room with a table and a huge TV.
'3331': A person holding a phone in each hand and wearing a head set in
front of a Christmas tree.
'3332': there are two woman and a man riding on a elephant
'3333': A One Way sign is located on the traffic light.
'3334': A group of young children standing in a room next to each other.
'3335': A woman and a teenager have headphones on and are holding two cell
phones.
'3336': A family throwing a frisbee on a sandy lot.
'3337': A man in a crowd taking pictures with a cell phone and holding an
umbrella.
'3338': Three girls walking down the sidewalk under a sun umbrella.
'3339': A man running on the beach carrying a surfboard.
'3340': A cat standing next to a white toilet and a rubber duck near a bath
tub.
'3341': A photo of a green bicycle parked in grass.
'3342': There is a cat and a dog, with the cat drinking out of the toilet.
'3343': A desk with a keyboard, webcam and two monitors on it.
'3344': A dog is sitting on a messily made bed while someone looks on.
'3345': A plane flying in the sky with a trail of white smoke behind it.
'3346': a plate of scones covered with chocolate sauce
'3347': A bathroom with a white tub and white cabinets has a black pattern
on the floor.
'3348': A burger with toppings on a plate.
'3349': A zebra all by itself outside of the green forest.
'3350': A toilet with a black seat next to a shower.
'3351': A person sprays the inside of a toilet and a sink.
'3352': Two women are squatting down and petting brown and black long haired
goats.
'3353': A skateboarder trying to film two skateboard tricks.
'3354': Dog lies on bed looking away from the camera.
'3355': A hot air balloon is floating over some trees.
'3356': A tall vase with red and white tulips next to a bowl of water.
'3357': One woman carrying a cake with candles and another woman in the
background.
'3358': A display of several elaborately decorated pink and white cakes
and flower arrangements.
'3359': A clear photo of a baseball player holding a bat.
'3360': 'Why would the cow be grazing in front of those homes?
'
'3361': Two mobile devices are lying on a table.
'3362': The end of a smartphone and a blue-illuminated black wireless mouse
sit on a table.
'3363': A new blender and printer sitting on a table.
'3364': 'A woman sitting on a unique chair beside a vase. '
'3365': A pizza with pepperoni and spinach leaves on it.
'3366': A person in a residential area stops near a walking sign.
'3367': A little girl in a striped pink shirt holding a game controller.
'3368': A red teddy bear sitting in a brown chair.
'3369': A woman in a red jacket is skiing down a slope while a chairlift
is moving above her.
'3370': A close up of a car with a dog in the back.
'3371': A man on a surfboard surfing a large wave with a seagull flying
overhead.
'3372': A city street sign mounted on a black pole near a high rise building.
'3373': A green fruit tree yields fruit ripe for picking.
'3374': A group of men sitting on a sidewalk together.
'3375': a male tennis player in a white shirt is holding his racket
'3376': Two athletes are competing on a playing field.
'3377': A pizza with a slice missing is hanging from a pizza stand.
'3378': 'Small wooden and white kitchen sink with a small mirror. '
'3379': A black mouse with blue light-up parts is next to a gray keyboard.
'3380': A man standing on a tennis court holding a racquet and a water bottle.
'3381': A baby deer and a fox and a large deer are standing in the woods.
'3382': an image of a female tennis player that is returning a serve
'3383': A hot dog with mustard and a pickle on it sitting on a white napkin.
'3384': A group of people sit at a table with rainbow-colored cake.
'3385': A huge suitcase and a backpack with a bunch of stickers on them.
'3386': A spotted herd of cattle walking down a road being followed by a
cowboy.
'3387': A sheep is walking along a flowery wide field.
'3388': 'Soccer players in orange and grey uniforms on a field. '
'3389': Some Zebras and giraffes are standing together, some eating.
'3390': A glowing airplane in route with a cloudy sky behind it.
'3391': A woman laying on a bathroom floor next to a toilet.
'3392': Giraffes in their wood and grass zoo enclosure
'3393': THIS IS A FAMILY OF RHINOCEROSES RUNNING THROUGH THE BUSH.
'3394': A banana sitting on top of a white plate next to a chocolate-filled
pastry.
'3395': Two soccer teams going after the spiky soccer ball.
'3396': There is a traffic light with a white sign underneath.
'3397': A large black bear with a long tongue hanging out of it's mouth.
'3398': A large statue of an elephant is attached to a business sign.
'3399': Two people and a dog are on a blue and green tennis court.
'3400': A group of men standing behind a table filled with pizza.
'3401': A half eaten slice of pizza and a cupcake are on a plate with a
knife and fork.
'3402': A man is drinking water from a red bottle.
'3403': A bathroom with a sink, toilet, tub, and jacuzzi in front of a large
mirror.
'3404': A brown cow stands over a light colored dog.
'3405': A patty, with frosting on top of it.
'3406': A living room has some chairs and a ceiling fan.
'3407': A white plate with two slices of cheese, a whole banana unpealed,
and a spoon.
'3408': 'A table with many different objects, including a plate of sandwiches. '
'3409': A woman stands next to her luggage on a platform.
'3410': Three wild turkeys on top of the dried pasture.
'3411': The women are enjoying the very large pizzas.
'3412': The street signs for Gladys and Main streets are attached to a wooden
pole.
'3413': A man in a red shirt with cellphone reflecting in a mirror.
'3414': A black stuffed animal sitting on top of a toilet in a bathroom
stall with pink floor tile.
'3415': A man sitting alone on a park bench in a park.
'3416': A tooth brush sits next to a toy.
'3417': A group of cyclists pass very large buildings in Asia.
'3418': A lion with his chin raised lies on a rock.
'3419': A guy takes a picture of his dog in the backseat with a book through
his side mirror.
'3420': Kitchen view with brick framework around the stove and by the oven.
'3421': 'The tray has a sandwich and two bowls near a beverage. '
'3422': A view of a wet day from indoors.
'3423': A white and gray kitten pokes its paw at a mirror and looks at its
distorted reflection.
'3424': A skier and a snowboarder are crouched down as they are skiing.
'3425': A camera sits on a tripod connected to a tablet.
'3426': The baby is standing next to several boxes of apples.
'3427': This is a broccoli carrot soup with a lot of mushrooms and broth.
'3428': A large silver refrigerator with two doors and an ice dispenser.
'3429': A person with a roller and a cane bag sitting on a bench.
'3430': A woman stands beside a large brown horse.
'3431': A chair sits on a bed with a little boy next to it.
'3432': Football jerseys and baseball memorabilia are displayed in glass
stacked casings.
'3433': A man and a women in an odd position holding Wii remotes.
'3434': Two women wearing no shoes are watching a movie.
'3435': A hot air balloon is flying over a van with multiple people and
a plane around it.
'3436': A zebra is running across an open field.
'3437': A skateboarder carrying his board down the sidewalk.
'3438': A young girl eating a slice of pizza.
'3439': A cute boy in blue is playing a video game.
'3440': A bunch of pies are sitting on the counter.
'3441': 'a man skiing down a hill by himself '
'3442': A woman climbing up a snowy, tree-lined path.
'3443': 'A three frame photo combination showcases two types of pie on the
right and left side with a coffee in the middle. '
'3444': 'Two women are squatting down and petting brown and white long haired
goats. '
'3445': Plates of food and a vase of flowers, along with two glasses of
red wine, are on a table.
'3446': A surfer paddles over a wave in clear blue water.
'3447': A man looking at a picture of a TV screen and a book.
'3448': 'Four men ride horses across a body of water. '
'3449': A guy standing behind a few horses.
'3450': Aerial view of an airplane ascending in to the dusky purple sky.
'3451': A lonely baseball player sits with their gear in the dugout.
'3452': A cat drinking out of a glass on top of a table.
'3453': A stop sign vandalized with an "eating animals" sticker above the
word "stop."
'3454': A crowd of people are gathered around a fountain and walking through
a covered sidewalk.
'3455': A traffic light that has some papers on it.
'3456': 'A sculpture of a toilet made from woven wood. '
'3457': some people and a woman in a yellow shirt and a pink frisbee
'3458': A cat standing next to a cracked open refrigerator door.
'3459': Some billboards that have every light lit up.
'3460': Two horses running and playing in the sun.
'3461': Vehicles riding in front of building with a huge clock on it.
'3462': A light colored horse stands over a brown dog.
'3463': Two adult hands touching cell phones together as a third watches.
'3464': Two men wearing no shoes playing video games.
'3465': Various sink cabinets lined up in a warehouse
'3466': A woman pats an elephant and a giraffe as a couple men watch.
'3467': A black and white photo of a farmer riding on horses.
'3468': Some horses standing near each other in a fenced in area
'3469': A short vase with red and white tulips in water.
'3470': A man wearing a bike helmet standing next to a bicycle with a basket.
'3471': A desktop computer is displaying a screen with words.
'3472': Butter is on a plate and is topped with a blueberry cake.
'3473': A man standing behind a woman holding a bat.
'3474': A table with a white cup and a cookie far from a toilet.
'3475': A couple is dressed in black and the male has a drink.
'3476': A woman at home posing with a cake.
'3477': A hand holds an iPhone displaying various movies and applications.
'3478': Spectators watching tricks on a BMX bicycle and a skateboard.
'3479': Three people walking their horses on a beach.
'3480': A woman is cooking on a large black stove
'3481': A street pole with one ways, except deliveries, street and no walking
signs.
'3482': A bunch of carrots and a watermelon sitting on a table.
'3483': An airplane that is soaring above the clouds.
'3484': A woman sitting looking at her phone with a plastic cast woman next
to her.
'3485': A large cat sitting in a bathroom sink under a mirror.
'3486': Two cooked hot dogs on a plate without parsley.
'3487': A woman is holding a baby with another young boy beside her.
'3488': Some dessert and toppings are in a blue plastic bowl.
'3489': A baseball player standing next to two walls on a baseball field.
'3490': A man next to a blue raft is attempting to catch a ride on a large
wave.
'3491': A beautiful blonde woman in tight blue jeans.
'3492': 'The airplane in the sky is doing tricks while spitting out smoke. '
'3493': A child wearing a scarf is holding a pizza box with pizza inside.
'3494': A man is on a snow board without a kite.
'3495': 'A collection of soap dishes, bowls, and small trinkets. '
'3496': Three tattooed young men playing Wii on a projection television.
'3497': A zebra grazes in a field adjacent to trees and a pond.
'3498': A woman placing an item in an outdoor oven on a farm.
'3499': A cat that is laying down on a wicker chair.
'3500': A tennis player and a spectator are watching a ball in a low position.
'3501': A hot dog and a bun with some mustard.
'3502': People watch from a large boat as a smaller boat is lowered into
the ocean.
'3503': A picture of a person cooking some food.
'3504': The food is prepared on the dish on the glass table.
'3505': A man who is about to hit tennis ball with a racket.
'3506': people ride their cars beside some motorcycles, passing by an empty
street with stores and apartment buildings.
'3507': The bottom of a helicopter is flying through the air.
'3508': A woman standing on a street with an umbrella.
'3509': An old photo of a little girl sitting on her mom's lap.
'3510': Baseball players in their uniforms on a baseball field.
'3511': The white flowers are sitting in a vase in front of the window.
'3512': A couple of women standing next to train tracks.
'3513': Two men sit in the woods as one of them throws a Frisbee.
'3514': The back edge of a well used skateboard.
'3515': The blonde woman in the red checked shirt is learning to use Wii
Fit.
'3516': a yellow book with a black pen on it
'3517': A room with a bed, a desk, and a fireplace.
'3518': a black counter on a wood cabinet in a kitchen
'3519': A man and a woman holding tennis rackets are playing tennis.
'3520': A woman sitting in a room taking a selfie in a mirror.
'3521': Two tall zebras standing next to each other by trees.
'3522': A grandmother feeding pizza to a reluctant toddler.
'3523': Small group using laptops and headphones in a classroom.
'3524': A man taking a bite of a doughnut while wearing a hat.
'3525': a person operating a laptop on a bench
'3526': A stoplight that is flashing red lights at cars.
'3527': A two layered cake sits on a table top next to a vase of flowers.
'3528': A blue bird and a lizard are sitting on top of a bowl of seed.
'3529': Zebras share a grassland with striped wild pigs in Africa.
'3530': A woman in white is playing on a tennis court.
'3531': A butterfly is perched on a clear vase with flowers in a close up
shot.
'3532': A woman that is sitting down in front of a table with a book on
it.
'3533': A cat and a dog sit in front of a TV and watch.
'3534': A woman is carving into a cake covered in fruit.
'3535': A man and a woman are about to serve a tennis ball.
'3536': Two guys in the woods playing with a disc.
'3537': 'A street sign is pictured at the forefront with an ornate building
in the background. '
'3538': A cat lying down beside a bench in a field.
'3539': A grandmother looks at her family's pizza dinner
'3540': A mail delivery truck is parked next to a red stop sign with a green
street sign posted above it.
'3541': A man flying a kite above a cloudy blue building in a tall sky.
'3542': A smiling child stands above a pink and red umbrella.
'3543': Three zebra standing far from each other on a dirt hillside.
'3544': Women and children are gathered around a blue cake.
'3545': A musical stuffed bear is sitting outside an eatery.
'3546': A man wearing a top hat and a green tie.
'3547': 'A picture of a cat staring at the ceiling. '
'3548': A group of friends and a man are skiing down a snowy hill together.
'3549': 'A group of cows grazing in a grassy field. '
'3550': A computer desk has two monitors and other equipment on it.
'3551': Two plates of pizza and a drink on a glass table.
'3552': A picture of a city skyline that looks incredible.
'3553': A group of giraffe standing next to each other.
'3554': A doll sitting on the ground in front of many boxes.
'3555': A baby in plaid shirt eating a plain cake.
'3556': Closeup of bathroom sink with oral care devices, a coffee mug, and
a flower vase.
'3557': A vase full of red flowers sits in a room without any red walls
or red decorations.
'3558': A person skiing in an open area of snow.
'3559': Children standing around a waiting room with a flat screen TV.
'3560': A One Way sign is located on the traffic light next to a mailbox.
'3561': A close up of two cell phones and a tablet near one another.
'3562': A living room with a couch and chair.
'3563': Rows of cylindrical cookies for sale in a bakery, seen behind glass.
'3564': A television and a lamp are on a couch and chair in the corner of
a room.
'3565': A solo rider is driving down a busy city street on a bike.
'3566': People outside at table eating cake on plates.
'3567': A hatless child is holding a pizza box with pizza inside.
'3568': A man is standing looking at something.
'3569': The new motorcycle on display is very shiny.
'3570': 'Two formally dressed guys are crossing the street. '
'3571': A man and woman in ski gear standing in front of a mountain.
'3572': Cyclists cross the street at the corner of luxury buildings.
'3573': A batter getting ready to bat with the catcher and umpire behind
him.
'3574': A woman watching a group of people cutting a cake.
'3575': A white horse standing in a corral looking on.
'3576': A group of teddy bears leaning against a row of movies
'3577': A toilet lid is closed next to a chair and a bathtub with a white
curtain and pink tile wall.
'3578': a man using his laptop while his cat looks at the screen
'3579': A yellow bicycle parked in tall grass.
'3580': A brown teddy bear sitting at a circular table with colored pegs.
'3581': A parking meter in front of a park bench.
'3582': A couple of women stand in a museum.
'3583': Several cows sleeping in the field with a house in the background.
'3584': A green skateboard with blue wheels on the floor with someones foot
on it.
'3585': A man holding a tennis racket and ball as if to start a serve.
'3586': Chicago style deep dish pizza with tomato sauce and mushrooms.
'3587': A bride, groom, and flower girl are near their wedding cake.
'3588': The view of a bathroom with a chrome wall mounted sink.
'3589': One tray of sushi rolls and a tray of fruits and veggies.
'3590': 'some horse running around in a field '
'3591': The meal consists of chopped chicken with shrimp, cheese, and broccoli.
'3592': A cup sits on the edge of a white tub in a bathroom.
'3593': A stop sign is lit up by the bright moon in the dark of night.
'3594': There are meats, fruits, and vegetables on a flatbread.
'3595': A street sign for the street named Brookside.
'3596': Two adult bears play fight in the water and catch fish.
'3597': Female skier frowning while standing in the snow.
'3598': 'People are walking down the sidewalk in a city. '
'3599': A man riding a black horse in uniform next to tall green trees.
'3600': A white bird with a brown head flys over a large body of water.
'3601': A small bird sitting on the back of a carved wooden bench.
'3602': A pile of clay and silver bowls sitting in a yard.
'3603': A person standing before a big sign holding up a chocolate-filled
pastry.
'3604': A group of people sitting on the side of a road.
'3605': A map with an orange floral pattern sits in front of a blue vase.
'3606': Some people next to a grass field are flying a kite in the sky.
'3607': A woman holding a silver flip phone open in front of her face.
'3608': The antique card shows the ship and a lighthouse in the bay.
'3609': A cow standing next to a white wall and bright blue door.
'3610': A person standing by a stove in a kitchen.
'3611': A man sitting at a table using a laptop computer.
'3612': A black sink with a white cabinet underneath it.
'3613': A person is riding on a skateboard on the street.
'3614': a bunch of pizzas are on display under a case
'3615': A bowl holds soup with broccoli, mushrooms, and other vegetables.
'3616': A group of women standing around a cake cutting slices.
'3617': A large and small giraffe are looking at something while lying on
a log.
'3618': a black woman wearing white attire and shoes running on a tennis
court,
'3619': A desk with a computer monitor, two mice, two cups and a keyboard
on it.
'3620': Two adult bears play fight out of the water.
'3621': An old fashioned train riding on train tracks in a wooded area.
'3622': A mouse is next to a keyboard on a desk
'3623': A man taking a bite of a doughnut while wearing glasses.
'3624': Old appliances and a bench are outside the back door of a repair
shop.
'3625': A couple of giraffe and a lion standing next to each other.
'3626': A giraffe standing in some tall grass outside.
'3627': A pizza covered in lots of greens on top of a table.
'3628': A canoe that is sitting in the water.
'3629': A room with a fire extinguisher, mugs hanging from a shelf, several
lights, and paintings on the walls.
'3630': A young boy with a purple shirt is on a gold skateboard.
'3631': A man and a lady are taking shots at doing their best Tennis serve.
'3632': A person sitting on the ground in a bathroom near a toilet.
'3633': There is a plant sitting on the toilet.
'3634': Two men ride bikes next to the cars in the street.
'3635': A person petting the head of a cute fluffy sheep with horns.
'3636': A wooden table holding two vases of flowers and a picture frame.
'3637': A person sitting next to a laptop in a dark room.
'3638': A woman using her laptop computer while a cat sits on her lap.
'3639': A bunch of people scattered outside of a building.
'3640': An ocean view with dozens of sailboats and birds in the sky.
'3641': 'A person being photographed while on a skateboard. '
'3642': A curved TV in a bathroom mirror next to sinks.
'3643': The grey and white cat stares up near a laptop and a lamp.
'3644': A large group of people are gathered around the table and a karaoke
machine.
'3645': A highway empty of traffic and buses.
'3646': A twin bed with a cat and phone on top of it, and a laptop on the
side.
'3647': A clean kitchen counter with a fruit basket and a clean sink.
'3648': Child's bed and monochromatic quilt surrounded by blue plastic walls.
'3649': A blue building with a stone door on it.
'3650': A man in red shirt looking at cellphone next to white truck.
'3651': A red car next to a gas station sign and parked blue and silver
motorcycles.
'3652': A woman wearing a bright pink t-shirt while looking at her cell
phone and sitting on a bench next to a blue wall.
'3653': A woman standing next to another woman in front of a building with
a fountain.
'3654': An uncooked pizza pie on a tray with another that is cooked.
'3655': The batter, catcher and umpire during a baseball game
'3656': 'a person with a shopping cart on a city street '
'3657': A city bus is parked on the curb waiting for people
'3658': A bathroom with sinks, a curved brass counter and decorative shower
stall.
'3659': A man and a child are standing in front of a fruit stand containing
several bunches of bananas.
'3660': Some kind of an omelette that has broccoli and sauce on it.
'3661': A little girl playing with a teddy bear and chewing on a toothbrush.
'3662': A man in a zebra print jacket holding a black umbrella.
'3663': green horse in brown field with trees and fence
'3664': A man holding horse reins connected to 2 horses on a grass field.
'3665': 'there is a yellow notebook on a black desk '
'3666': A little girl standing in a forest holding a black umbrella.
'3667': A room with a sink, bed and toilet in it
'3668': A crowd and a clown are watching a professional baseball game on
a sunny day.
'3669': A view of a cat lying in a open suitcase.
'3670': A bicyclist is doing tricks on a ramp.
'3671': Pens with orange handles are in a container with scissors.
'3672': A transparent box full of matching, ridged donuts with glaze.
'3673': A man and a child have a red water bottle up to their mouths.
'3674': A green cart with old luggage on it standing by.
'3675': A colored photo of a poolside dining area with the umbrellas black/white.
'3676': A man holding a baseball bat and a football while standing on a
baseball field.
'3677': A wooden table with bread on it next to a plate.
'3678': A group of friends riding a subway while using cell phones.
'3679': 'The boy is looking back at a wave in the ocean. '
'3680': 'Plates of Pizza with silverware next to ketchup and other condiments. '
'3681': A brown dog and a bird are laying on the ground with a metal bowl
in front of them.
'3682': A man next to a skateboard is riding by food vendors.
'3683': The toilet is covered in sparkles with a red object in front of
it.
'3684': A lady using a knife and fork to share a pizza.
'3685': 'Man and woman holding a knife up to a small cake. '
'3686': A mother and child fly a kite in a grassy field, with a mountain
in the background.
'3687': A bride, groom, and child are cutting a cake as they smile.
'3688': A man holding a surfboard sitting on a beach next to the ocean.
'3689': A zebra-print futon with a bookshelf and red cushions in a student's
room.
'3690': A bowl of bananas, sprinkles, blueberries, chocolate chips, and
marshmallows.
'3691': 'A couple of slices of pizza sitting on white paper. '
'3692': A hamburger with thousand island dressing and a Coke Zero on the
side.
'3693': A cat is drinking out of the faucet of a sink with a rubber duck
next to it.
'3694': An oversized teddy bear sitting on a blue chair.
'3695': Four men playing Ultimate Frisbee in a park.
'3696': A white horse with a brown mane is on the grass.
'3697': A woman standing at a kitchen counter with a child and a dog is
behind her.
'3698': A pair of insects living in a habitat.
'3699': A man in period costume holds a dog in period costume.
'3700': 'Several people traveling up a hill wearing snow gear. '
'3701': A cracked stop sign vandalized with an "eating animals" sticker
below the word "stop."
'3702': Set of toy animals sitting in front of a red wooden wagon.
'3703': Assorted meal sitting on a plate with a white glass of milk.
'3704': A bathroom with the lights on visible through a slightly ajar door.
'3705': A pancake with vegetables arranged on it.
'3706': A display in a store filled with lots of canned food.
'3707': A man holding a skateboard and a guitar.
'3708': A youth holds a soccer ball and a basketball while another youth
is behind him, looking at the first youth.
'3709': A picture of an art museum is taken through a fish-eye lens.
'3710': A soccer game where a girl in blue is dribbling ahead of the girl
in white.
'3711': A man on a short exposure picture riding an electric skateboard.
'3712': Several people on surfboards who are riding a wave with a dolphin.
'3713': an image of two cakes on the stove
'3714': Two dogs running across patchy grass; one rolling around with the
other.
'3715': 'Birds with long orange beaks and black and white feathers in a
park. '
'3716': Bicyclists are riding down the street with each other.
'3717': A rabbit and cat lying together on an orange couch.
'3718': A stove and some books in a kitchen.
'3719': Two people are walking far from each other on the side of the road.
'3720': A table with candles, plates of food, and a bottle of alcohol.
'3721': a green white engine is pulling some gray train cars
'3722': A black bike and a lamp rest against a brown bed.
'3723': A large round cake is sitting on a plate.
'3724': Two computers and a laptop are sitting on top of a desk.
'3725': A black and brown dog sits curled in a flowered wing chair.
'3726': The view of a bathroom with a wall mounted sink.
'3727': a person jumping a snow board in the air
'3728': A man kisses the side of a woman's head.
'3729': a large passenger airplane flying through a cloudy sky
'3730': A woman stands beside a large white horse.
'3731': The large bear is walking on a boulder.
'3732': Three birds are flying above an open field.
'3733': A fire hydrant and a stop sign are in the middle of the street curbside.
'3734': a train covered in black dirt sitting in a fancy train station
'3735': 'A white horse stands in a circus bigtop. '
'3736': A bunch of monkeys on motor scooters riding on a street.
'3737': A giraffe is walking above some tall grass.
'3738': A small cat and a monkey are sitting in the top of a banana tree.
'3739': A person holds a round cookie in front of the camera.
'3740': PASSENGER TRAIN IN THE NIGHT HOURS WITH NO SMOKING SIGN, AND TWO
WOMEN
'3741': A woman and a child are holding racquets on top of a tennis court.
'3742': A woman hiding her pink pointy-toed heels.
'3743': there is a small puppy on the kitchen floor
'3744': Zebras share a grassland with wild pigs and meerkats in Africa.
'3745': This computer set up has two monitors, an ergonomic keyboard, and
a cactus.
'3746': A white and brown cat lying alone on a bench.
'3747': Someone is holding a black plate with two slices of pizza and an
avocado.
'3748': A woman that has ski's and is standing in the snow.
'3749': A glowing image of a clock on a building.
'3750': A group of people and a toddler are standing around holding Nintendo
Wii controllers.
'3751': A woman standing at a train station near a pile of luggage.
'3752': A woman standing near a table with video equipment.
'3753': Three giraffe drinking from a pond with brush in back.
'3754': Four zebras stand together near a river in a grassy plain.
'3755': The inside of an empty public bus with black seats.
'3756': two people standing close to each other playing nintendo wii
'3757': A tennis player prepares to react during a match.
'3758': A skate boarder films a man doing a trick.
'3759': A close up of kittens on hay ground indoors.
'3760': A baseball player fielding a baseball on a field.
'3761': Two black and white photos of a meter on a curb.
'3762': A bedroom vanity sink with a large mirror and hairdryer on the wall.
'3763': A teddy bear sitting with a Toy Story stuffed animal on a bench.
'3764': a bunch of heart shaped cakes are on display
'3765': Two brown dogs walking in the field with their mouths open, chasing
after a ball.
'3766': Men race on wheeled vehicles towed by a group of husky dogs.
'3767': A cat looks at a person holding a bottle and a candle.
'3768': People gathered taking pictures with a cell phone.
'3769': A living room with a fireplace and a table and a bookshelf.
'3770': A wall urinal in a stall with a manual flushing system.
'3771': 'The food is prepared on the dish on the table. '
'3772': A clown standing near an elephant on a sunny day.
'3773': A man gets air catching the Frisbee near the water.
'3774': A woman makes eggs on the stove top.
'3775': People cross the street and a fountain at the corner of luxury buildings.
'3776': A small cat sitting in the top of a banana tree.
'3777': A table with breadsticks and three parcially filled glasses of wine
and a wine bottle.
'3778': A woman is turning the pages of a red book while sitting on a bed.
'3779': A smart car parked in front of a large cargo van.
'3780': A man opening a fountain spewing out rusty water into a street.
'3781': Two bears near the water fighting each other.
'3782': A person and a plant are sitting at a desk with a keyboard and monitor.
'3783': A choir is singing in a park.
'3784': A jet airplane coming in to land in a stormy cloudy blue sky.
'3785': A person above a skateboard does a flip in a parking lot.
'3786': A plant in a garden far from a white building.
'3787': A bird flying towards a brick of bird food on a pole.
'3788': Two men wearing ties cross the street at night.
'3789': People watching a holographic on screen presentation of a gentleman
in a suit.
'3790': Several vehicles and an illuminated horse drawn cart pull up outside
of a building.
'3791': Bananas, marshmellows, chocolate chips and sprinkles in a bowl
'3792': The little girl is having fun playing at the computer keyboard.
'3793': A person eating pizza and salad at a table.
'3794': A dog standing on a bench with an orange tree in back.
'3795': Two children look at some giraffes in an enclosure.
'3796': A woman wearing a pink hair towel and a hard hat is working in a
factory.
'3797': Two brown bears interacting in a grassy area.
'3798': There is a group of sheep sleeping on the grass in the field.
'3799': A couple of people sitting next to piles of fruit.
'3800': Two little brothers sitting next to each other.
'3801': A full plate with a fork is shown in between two children.
'3802': A stop sign with glitter stickers taped to it and additional warnings.
'3803': A man in uniform riding a horse by a fallen fence.
'3804': a woman in a dress and pale makeup sitting by a table
'3805': A bicycle riding in an intersection, past a furniture shop.
'3806': A photo of a daughter and her mother on a bed.
'3807': A soccer player is kicking the ball as the crowd watches.
'3808': A bed topped with three black pillows covered in a canopy.
'3809': Two women and a child are petting a few goats at a petting zoo.
'3810': A bathroom with a big mirror above the sink and a flower vase.
'3811': A person going up a snow hill on skis near an igloo.
'3812': A grey and white cat lays on top of a sink.
'3813': two teddy bears that are large sitting in a small garden
'3814': Passengers standing inside a green and white tour bus.
'3815': A bobble head is shown next to computer screens and a wall clock.
'3816': A hand holding a spraying hose to a toilet bowl in a small toilet
stall.
'3817': A pole with stop lights and a bicycle lane sign and a horse walking
sign.
'3818': A zebra has its nose pressed to the ground and a bird is perched
on a nearby tree.
'3819': Surfers stand with surfboards and paddleboards on a beach for the
early morning sunrise.
'3820': A sausage on white roll sandwich, cut in half, is on a italian plate,
with a garnish.
'3821': A close up of a cat sitting on a bench next to a flower pot.
'3822': A small cat is walking behind a folding bike.
'3823': A group of women operating a car wash.
'3824': A man sleeping in the window of a bus.
'3825': A white bus driving down a street next to a building.
'3826': A truck with a snow plow detached from the front.
'3827': A train passing under a small bridge on a green hillside.
'3828': A solitary elephant standing on top of a field.
'3829': A woman cooking on a modern stove.
'3830': There are two plates of food, a beer, and a vase of flowers in the
middle of the table.
'3831': A balloon is floating through a cloudy blue sky.
'3832': Man and woman holding a knife up to a small cake with a candle on
top.
'3833': A group of teddy bears stacked on top of a row of movies.
'3834': THIS IS A FAMILY OF GIRAFFES RUNNING THROUGH THE BUSH
'3835': A very cozy looking living room with an oval table and a fireplace.
'3836': An ornate clock on the side of a building next to a bush and a tree.
'3837': A skateboarder doing tricks on the rim of a pit
'3838': A plate holding a sandwich on a blue mat.
'3839': A teddy bear and a plush unicorn sitting on a faded wooden outdoor
chair.
'3840': A man on skis is going down a slope.
'3841': a table full of bananas being sold outside
'3842': A child holding a piece of food by a string.
'3843': Two women are looking at many colorful, heart shaped flowers.
'3844': A street sign with flags on it and a building in the background.
'3845': 'Small certain was child eating donuts off a blue plate. '
'3846': A vintage red guitar in front of a vintage army prop plane.
'3847': A bathroom that lacks a bright tile wall and big mirrors.
'3848': Some bean bags are sitting around a small table.
'3849': Some people chilling on the couch playing with a Nintendo Wii
'3850': A jet airplane coming in to land in a cloudy blue sky
'3851': There is a stuffed animal next to the toilet.
'3852': An abandoned refrigerator next to a building with a window and a
plant.
'3853': A person kicking up on their skateboard at the top of a ramp.
'3854': A red, white and blue fire hydrant on a city sidewalk.
'3855': Some flowers are sitting in the pink vase in front of the window.
'3856': A kitten is looking into a mirror and touching the mirror with one
paw.
'3857': Overview of a pan of vegetable soup with wooden spoon on a stainless
steel stove top.
'3858': The shirtless men are riding horses beside the lake.
'3859': Cows resting in fresh straw bays at a rodeo
'3860': A gigantic cow in an enclosure with straw on the floor.
'3861': Someone is cooking meat-filled stir fry in a skillet.
'3862': A brown horse standing next to a woman on a bicycle in front of
a house.
'3863': A woman is sitting with a suitcase on some train tracks.
'3864': A larger zebra resting its head on a striped with gold smaller zebra.
'3865': A clock that is surrounded by tall grass in a park.
'3866': A computer sitting on top of a table with a lamp.
'3867': A woman is standing beside a motor bike with a cart extended.
'3868': A man holding a tennis racket getting ready to hit a tennis ball.
'3869': The tall horse is standing beside white plants.
'3870': A plate with a bowl of chicken nuggets and two halves of a grilled
cheese sandwich.
'3871': there is a young child that is brushing his teeth
'3872': A plate topped with bread, greens and pasta and a fish.
'3873': A gentleman holding a hotdog in an outside eating area.
'3874': A purple mug is across from a bowl.
'3875': A bunch of bicycles are lined up next to each other.
'3876': A living room with a velvet couch and large television.
'3877': A man wearing a pixilated looking shirt and a neck tie.
'3878': A little boy that is standing beside a sidewalk with a suitcase.
'3879': 'Buses and cars on interstate going both ways. '
'3880': 'A tennis player hits a high ball in front of an audience. '
'3881': People walking down a cobblestone city sidewalk showing one with
headphones.
'3882': Shadows are cast onto the side of a train because of the sun.
'3883': A curly-haired woman stands next to her luggage on a platform.
'3884': A boy holding up an umbrella over a woman's head.
'3885': a blue building with a brick sign on it in front of a metal pole.
'3886': A man holding a baby girl while seated in a cafe.
'3887': A cowboy walking down a road being followed by a herd of cattle.
'3888': Some kind of a pancake that has broccoli and sauce on it.
'3889': A baseball player throws a pitch while others are cheering from
the dugout.
'3890': A partial sliced open piece of bread with some cheese and hotdogs
in the middle.
'3891': The restored old time car is parked near a four engine airplane.
'3892': A couple that is posing for a picture.
'3893': The plane is parked at the gate at the airport terminal.
'3894': A slice of pizza with a swirl of sauce next to it.
'3895': A smiling man in a hat is wearing sunglasses.
'3896': Two giraffes are standing next to a building.
'3897': A large digital clock and a painting are mounted to a wall.
'3898': A polar bear walks down a snowy tundra field.
'3899': 'A pizza pie sits in a dish on a table. '
'3900': A young girl holding a controller playing a video game.
'3901': A small bathroom, with a commode, a bathtub with bath toys in and
around it, and a showerhead.
'3902': A girl with an umbrella next to a chair.
'3903': A crowd of people and a giraffe standing in the middle of a street.
'3904': A infant holding a baby toothbrush in his hand looking at it.
'3905': A black-and-white picture of a rack full of cupcakes and doughnuts.
'3906': A striped cat sits in a bath tub.
'3907': A boy is looking into an open refrigerator.
'3908': A little boy and a teddy bear are drinking milk from a bottle while
laying in bed.
'3909': Cattle are grazing in a bright green pasture along a river and mountains.
'3910': A large group of people posing for a picture.
'3911': A cow rubbing its back under a fence post.
'3912': A woman sitting in front of a giant pizza.
'3913': 'There is a street sign on top of a stop sign near a tree. '
'3914': A small black and orange bird is flying over a table with banana
peels in it.
'3915': Two pieces of mesh luggage stand next to each other.
'3916': A person on a snowboard who is performing a trick.
'3917': People walk by a boat near a lighted bridge
'3918': A black cat and a bird are sitting inside a bathroom sink.
'3919': 'A yellow dog runs to grab a yellow frisbee in the grass '
'3920': Two laptops, a computer, a tablet, a keyboard, and other electrical
gadgets are on the table.
'3921': Ornate cup and saucer clock displayed against red background.
'3922': A camera and tripod is shown with a laptop.
'3923': School boys stand cross legged in front of a chalkboard sign in
a vintage black and white photo.
'3924': Man taking a photograph of himself eating a pizza slice
'3925': A box full of matching, ridged bagels with glaze.
'3926': 'Some zoo animals are walking and having fun in the zoo. '
'3927': Suitcases on top of a carrier and a kayak onto of a vehicle.
'3928': A pizza with tomatoes on it and a plate of spaghetti are sitting
on a table in a restaurant.
'3929': A traffic light with additional warnings taped to it.
'3930': A fire hydrant that is sitting in the grass.
'3931': A man and a girl with a bird under an umbrella at the beach.
'3932': A guitar is standing next to a bed in a room.
'3933': A room with a fire extinguisher, paintings hanging from a shelf
and several lights.
'3934': A young boy gets ready to fly a kite.
'3935': A woman and baby leaving from a train platform.
'3936': A man holding matches, a cigarette in his mouth, and an umbrella.
'3937': A bird sitting on a bench in front of a house.
'3938': Eight doughnuts and cupcakes are sitting on a white serving tray.
'3939': a white yellow and blue train at an empty train station
'3940': A person is moving green hay towards an elephant that is inside
the back of a black truck.
'3941': A man and woman are leaving a kitchen.
'3942': A stop sign on a broken post across the street from houses.
'3943': An older woman is talking in front of an elephant and a giraffe.
'3944': A historic structure in a meadow with two cows in the background.
'3945': A man is showing a picture in a side car mirror with his cell phone.
'3946': A grandmother puts a flower on the lapel of a boy's coat.
'3947': A man has his water bottle up to his red mouth.
'3948': A Polar Bear walks toward water, while a large bird lands on the
opposite bank.
'3949': A man stands beside an abandoned bus in a snowy forest at night.
'3950': An image of a very cute girl without face piercings.
'3951': A man in a defensive stance holding a sword.
'3952': A bride and groom couple cuts the wedding cake surrounded by balloons.
'3953': Luggage is sorted into groups, and sits outside the fence for pickup.
'3954': a plate of polents a tomatoe and brocolli
'3955': A little girl sitting on top of a bed next to a lamp.
'3956': A political candidate advertisement on the side of a coach bus.
'3957': An airplane flying in the sky beside some trees.
'3958': Two real animals sit at a table with honey.
'3959': A man near a frisbee in a parking lot holding water.
'3960': A bunch of dirty looking white toilets in a row outside.
'3961': Color corrected photograph of a person carrying a red, white and
blue spotted umbrella.
'3962': A man is carving into a cake covered in candles and fruit.
'3963': Two slices of veggie pizza on a plate.
'3964': A spotted group of horses are crossing a finish line.
'3965': A man and a woman standing in front of a painting.
'3966': A group of people are next to a large gray elephant.
'3967': A chubby bearded man holding an orange beverage.
'3968': A plate of food next to a table, it appears to be a salad.
'3969': A black and white photo of a farmer standing next to horses and
a cow.
'3970': A floral-printed beige outdoor umbrella is blown upside down.
'3971': A laptop computer, smart phone, and lamp are sitting on a desk.
'3972': two women sitting on a park bench, one looking over her shoulder
'3973': A black laptop at a desk with a printer.
'3974': a white and black cat looking up in the air in front of a desktop
computer.
'3975': A black and brown dog lies curled in a flowered wing chair.
'3976': There is a young man standing on a glowing skate board.
'3977': A red car is sitting in high grass.
'3978': A man and woman are in a kitchen.
'3979': A pan is filled with broccoli, peppers, and diced chicken.
'3980': an orange fire hydrant between two white poles on the side of a
sidewalk
'3981': A dog sitting on the couch with a cat laying on the floor.
'3982': A little boy that is standing on a sidewalk with a brightly-colored
suitcase.
'3983': 'Young man on top of a snowboard wearing maroon jacket. '
'3984': Three giraffes stand side by side looking at the camera.
'3985': A dog and a cat stretching together on a couch.
'3986': The transport train stretches out over the horizon as the white
bridge travels below it.
'3987': The man is playing a game of tennis on the court.
'3988': A bathroom with no toilets but a shower and a red and green bucket.
'3989': Woman showing off a very large burger.
'3990': a group of cars next to a train
'3991': The man is enjoying playing a Wii interactive video game.
'3992': A beach without any boats or tractors.
'3993': A slice of pizza with a swirl of sauce on top.
'3994': A little boy puts his hand in a pasta dish.
'3995': A woman sitting on a wooden bench next to a rock wall.
'3996': Three strange looking squirrels walking on the grass.
'3997': A woman cooking on an old fashioned stove.
'3998': A bird with outstretched blue wings is sitting on a bird feeder
with a squirrel.
'3999': A cat is propped up on the toilet seat next to a plant.
'4000': 'A group of people on the ski slope in their skis. '
'4001': A tiny bin filled with some ripe yellow bananas.
'4002': A kitchen with wooden furniture, a vase filled with red flowers,
and a fish tank.
'4003': An elephant and a giraffe are being fed while in a truck.
'4004': A person does a trick on a skate board by a beach.
'4005': A family are relaxing on the beach.
'4006': a city bus parked on the side of the road
'4007': A person stands and shows his tie off.
'4008': A man in baseball uniform throwing a grey ball.
'4009': A black and red parking meter on a sidewalk next to a bench and
a street.
'4010': 'a zebra grazes on some green grass next to some trees '
'4011': A plate of half eaten pizza and a burger.
'4012': A parking meter is next to a graffiti wall.
'4013': A man and a women standing next to each other.
'4014': A bicycle and a truck on a city street.
'4015': A man poses for a picture against a brick wall.
'4016': An empty bathroom with yellow walls on the lights on.
'4017': A skier crouched and skiing down a slope.
'4018': A small child wearing a tie and a hat stands with his luggage.
'4019': A living room with orange colored walls, and a purple chair.
'4020': A man standing on a hillside next to a boat on the lake holding
frisbee.
'4021': Cooked broccoli sitting on a plate with salmon.
'4022': The books are positioned on the table.
'4023': An old time looking clock surrounded by greenery and a statue.
'4024': A container with a sausage, egg, and tomato slices and another container
with croissants and bread.
'4025': Pedestrians walking on a sidewalk by a badly tipped traffic light
and a mailbox.
'4026': A pregnant woman and her dog are in bed reading a large book.
'4027': There is a polar bear swimming in the water.
'4028': There is some type of flat bread next to a topping.
'4029': A couple of giraffe standing in a building.
'4030': A red and white picture of a quiet street, only black is in color,
a black double decker bus drives down the road.
'4031': A hand holding a hot dog on a bun in a wrapper.
'4032': Four zebras on a dirt path looking in the same direction.
'4033': A zebra walking on a grass covered field.
'4034': Two computer screens and a cactus are sitting on a desk.
'4035': An old fashion sink with the cover painted pink far from the mirror.
'4036': A hand pets a cat in a backpack.
'4037': Cows and ponies are eating carrots and hay in the barn.
'4038': A fluffy giant bear and mouse on display at the mall.
'4039': A swooping small bird perched on a piece of wood.
'4040': The foot of a person next to a skateboard is prominent in this photo.
'4041': Cat staring at laptop screen as owner is online.
'4042': A zebra eating grass in a grassy yard
'4043': A kitchen with white cabinets and brick walls.
'4044': A child and an older man wearing a funny hat are in a dining room.
'4045': 'Several skiers glide down a hilly landscape covered in snow. '
'4046': A kitchen with a teapot on the stove and books on a shelf.
'4047': A group of women standing behind a table filled with pizza.
'4048': A man with glasses taking a selfie while eating pizza.
'4049': A woman sitting on a wooden bench viewing a beautiful river.
'4050': A bus sitting on the side of the road.
'4051': A giraffe behind a fences reaches for the hay in the basket.
'4052': A woman walking along a sidewalk while using a cell phone.
'4053': a couple of monitors are on a desk
'4054': A woman holding a bat stands behind a man.
'4055': A man stands on the shore as the tide rolls in from a fishing boat
on a desolate beach.
'4056': Green bushes sit above a clock under a blue sky.
'4057': A dog that is wearing a dog collar smiling
'4058': A young man doing a jump with his scooter and skateboard in a skate
park.
'4059': A professional baseball dropping his bat at home base.
'4060': A bride and groom are cutting a cake as they smile.
'4061': A woman sitting in front of the Eiffel tower near pigeons.
'4062': A sandwich with broccoli on a white plate.
'4063': The three teddy bears sit with their arms around each other and
a toy truck next to them.
'4064': Closeup of a cup holding scissors and other pens and pencils.
'4065': a teddy bear sitting on some kind of seat.
'4066': View of two desks with chairs far from a fireplace in an old style
living room.
'4067': 'An umbrella and rain boots sitting on a rug in a corner. '
'4068': Three sausages in buns are covered with the same toppings.
'4069': A bride and groom cutting their wedding cake that has flowers and
fruit on top.
'4070': A vase of red flowers is next to a bathroom countertop.
'4071': 'a vintage photo of a boat parked next to a peer '
'4072': A girl covered up with her blanket holding the television remote.
'4073': A man leaning against a bed looking at a book.
'4074': A man near a skateboard is coming up a ramp.
'4075': A brown and white cow standing in front of an iron fence.
'4076': 'A close up of what appears to be two traffic machines. '
'4077': A man standing in front of a clock.
'4078': An airplane in route with a cloudy sky above it.
'4079': A catcher is ready to catch the ball after it crosses the plate.
'4080': A bird standing on a wooden post near a house.
'4081': A bald man stands with his arms crossed as he looks at a clock.
'4082': Two giraffes are standing far from a building.
'4083': A bike sits parked next to a garbage can on the street.
'4084': A bed with stacked pillows is in a bedroom with a chair.
'4085': A young kid hitting a baseball with a bat close to some chairs
'4086': A beige outdoor umbrella is blown upside down.
'4087': A kid is riding a bicycle while pulling a kite behind him.
'4088': An ocean view with dozens of birds in the sky.
'4089': A boy wearing a hat while running to get his kite in the air.
'4090': A woman taking a selfie with a mobile phone.
'4091': A man eating a hot dog with one bite taken from it.
'4092': Numerous head of cattle are grazing in the grass.
'4093': This is a chair and umbrella that is sitting near an ocean.
'4094': A black car and a black bus parked parallel from one another.
'4095': A panoramic shot of several people standing near a plane.
'4096': An assortment of rags and tools hang on a metal rack.
'4097': Two people playing video game while standing, one in purple is smiling
and holding a cup of coffee.
'4098': A man with glasses and wearing a tie poses for a profile picture
with a flower bouquet.
'4099': Spectators enjoying a show of four men on two-wheelers.
'4100': A vase with a map on it next to red flowers.
'4101': A third man is on a bicycle and two are on a scooter.
'4102': A sink with toiletry items setting on the edge.
'4103': A herd of giraffe running across a field.
'4104': A broccoli and pasta salad with oil and vinegar dressing.
'4105': A living room with black carpet and white furniture.
'4106': A very young boy is using a keyboard on a tablet and a laptop computer.
'4107': A corner of a living room with a bookshelf and a TV in it.
'4108': An advertising bus traveling on a freeway next to other traffic.
'4109': A barefoot woman sitting in a chair relaxing.
'4110': A man beside a piece of equipment resembling a bicycle that has
very large wheels.
'4111': A floral vase sitting on a table next to a feather drape.
'4112': Three people sitting by an elephant behind a fence.
'4113': a man that is sitting down cutting a cake
'4114': An old blender is sitting next to a broken printer.
'4115': A dumpling topped with broccoli and a white plate.
'4116': A girl pins a bouttoniere on the lapel of her date while a dog watches.
'4117': A fire hydrant beside a green bush on a leafy green lawn.
'4118': A group of sheep grazing in a grassy field.
'4119': A truck painted green with designs parked by scooters and other
vehicles.
'4120': A single parking meter on a pole with a bicycle rack.
'4121': a man and a woman are laying in a bed
'4122': 'The encompassing of an outside town in the picture.
'
'4123': 'A laptop seems to have the infamous "blue screen of death" on the
desk. '
'4124': A cow is standing on a street corner.
'4125': An old doctors office with a desk and two windows with curtains.
'4126': A large knife showing pirate skull and bones on a counter top next
to a white mug.
'4127': People standing outside a group of buses.
'4128': A man uses a park computer on a bench.
'4129': A man in a jacket standing near a giant tv
'4130': A vase of flowers and candles are on a dining table.
'4131': A man and a woman are watching a game.
'4132': A group of people walking down a sidewalk.
'4133': Three strange looking birds are walking on the grass next to a pool.
'4134': A smiling child stands under a pink and red umbrella.
'4135': Empty stylish kitchen and bedroom with big picture windows.
'4136': A young baseball player tagging up at third base.
'4137': A dog is sitting on an armchair next to a lamp and a fridge.
'4138': A herd of elephants walking into a large body of water.
'4139': An extremely focused and sweaty man playing with the Wii.
'4140': Two children are practicing using the potty next to each other.
'4141': 'Two people stand in front of a bunch of elephants '
'4142': A room with a bed, a desk, a television, and a rug.
'4143': 'A young skateboarder talking into a microphone '
'4144': An adult black bear let's his short tongue protrude.
'4145': 'A small cow in a enclosure with straw on the floor. '
'4146': Male tennis player on the edge of the court.
'4147': Four gazelles stand together in a grassy plain.
'4148': A person presses the power button on a blender containing fruit
and liquid.
'4149': A woman taking a picture of herself in a mirror.
'4150': A painting of flowers and a candle with a vase.
'4151': A fully-stocked kitchen with no one in it.
'4152': A monkey playing in the water with balls.
'4153': A zebra in the back of a truck trailer.
'4154': A bridge and groom cutting their wedding cake that has fruit on
top.
'4155': A man holding a stick standing next to a green hillside and a river.
'4156': A woman holding a knife and fork near a giant pizza.
'4157': A grassy bench next to a tree in a park field.
'4158': A man holds a controller and keyboard with his hands
'4159': Stuffed toy bear with plastic green turtle displayed next to chair.
'4160': A plate of whole chicken with a broccoli cheese sauce.
'4161': Two old bookshelves are displaying an old computer game in front
of a television set.
'4162': Someone throwing a hot dog cut in half on some bread.
'4163': Many skiers are riding and skiing around the snow.
'4164': A white counter, a sink, a table, and two chairs.
'4165': A bedroom and kitchen areas feature red, white, and wooden furniture.
'4166': A group of sheep standing on a mountain side.
'4167': A group of young adults sitting next to each other.
'4168': Looking down at the spectators and players during a basketball game
'4169': A number of yellow and green traffic lights on a wide highway.
'4170': Boy riding a skate board over a concrete seat.
'4171': A living room with an old fireplace and desk.
'4172': A man looking down at an open laptop.
'4173': A man standing in front of a fruit stand containing a couple of
bunches of bananas.
'4174': There is a man and a child opening the oven door.
'4175': A person sits across from a pizza ready to be served.
'4176': A table topped with cupcakes, a cake covered in berries, and a plate
of sandwiches.
'4177': Two adults and children wearing soccer jerseys and hats.
'4178': A German Shepherd dog wearing a helmet sitting by a motor cycle
with a flag.
'4179': Two people sitting on a bench far from the ocean.
'4180': Zebras in their wood and grass zoo enclosure.
'4181': Two men wearing ties and hats cross the street at night.
'4182': There are women and a child laughing under the umbrella.
'4183': A man sitting on top of a double-decker bus over a billboard.
'4184': A man eats a hot dog while looking at the camera.
'4185': A man in baseball shirt standing in field with black mitt.
'4186': A desktop with two computers and fruit on it.
'4187': Some colorful peaches sitting on a table next to some other veggies.
'4188': Two trucks on a city street with a large worker sitting on top and
one worker climbing in through door.
'4189': Children look over the wrought iron fence into the brick archways.
'4190': A man with a receding hairline takes a slice of pizza from a toddler.
'4191': Crackers coated with spread, sitting on a plate, ready to eat.
'4192': Two slices of watermelon are served on a plate.
'4193': A picture of two young kids posing or a picture.
'4194': 'A lady is standing in pastel colored bathroom in front of the bathtub
and there are christmas lights hanging up outside of the doorway. '
'4195': A man and a child are opening a fire hydrant spewing out rusty water
into a street.
'4196': Airplane food is shown on the small gray tray.
'4197': 'a motorcycle parked in doors near other vehicles '
'4198': A portrait picture of a young man in a suit and tie.
'4199': A bus parked next to a red building with white trimming.
'4200': This is an advanced toilet with a sink and touch screen control
panel.
'4201': A moldy pile of clay and gold vases sitting in a yard.
'4202': A television, couch and chair in the corner of a room.
'4203': A man is about to serve a tennis ball.
'4204': Several people can be seen at the crest of the mountain.
'4205': A kitchen has a vintage gas range and yellow walls.
'4206': An old standing clock surrounded by tall grass.
'4207': 'A woman sits on a bench as people walk down a sidewalk. '
'4208': A commercial airplane with jet engines flying through the air.
'4209': A grey colored cat that is drinking from a glass of water.
'4210': A man is on his surfboard in the water with a dolphin.
'4211': A white, beige and brown baby bear under a beige/white comforter.
'4212': Four zebras stand together in a barren plain.
'4213': A couple of women holding video game console controllers
'4214': A clock suspended on the outside of a skyscraper.
'4215': A clock tower on top of a tall historic building.
'4216': A dog is sleeping on top of a laptop computer.
'4217': A little girl is standing beside several orange cones.
'4218': 'Several sheep standing around in the grass. '
'4219': A black plush toy sitting on the lid of a toilet.
'4220': A view of a work desk complete with a bookshelf, computers, and
camera.
'4221': A historical clock tower next to a modern steel window skyscraper.
'4222': 'a black and white dog laying in the grass with a frisbee '
'4223': Several motorcycles are parked at a red light in the road in a city
with tall buildings.
'4224': A sitting child and several adults outside of a batting cage.
'4225': A crumpled laptop seems to have the infamous "blue screen of death"
on the desk.
'4226': A very big white bus parked by the curb and a fire hydrant.
'4227': A small child is in the kitchen with an adult and dog.
'4228': A small sheep and a chicken are standing under a wooden fence post.
'4229': Closeup of a red vase with a white and yellow circle at the bottom.
'4230': A man and a girl next to an umbrella at the beach.
'4231': Sliced bananas sit on top of a pastry dish on a plate.
'4232': A smiling man in a hat is wearing a watch and sunglasses.
'4233': There's a number 41 bus with a green stripe and a flower basket
on it.
'4234': Some girls in colorful shirts standing by some pastries.
'4235': Dog wearing blue vest catching red flying disc at outdoor event.
'4236': Two people are riding scooters through the street traffic.
'4237': The basketball game is played by teams in white or blue uniforms.
'4238': A dog is sitting on the bed near a person using a laptop.
'4239': A colorful public restroom focused on the sinks.
'4240': Men on scooters are getting pulled by a group of dogs.
'4241': A woman smiles as she stands on a snowy hill with a snowboard.
'4242': A painting of a young boy laying on top of a bed hangs on the wall.
'4243': A smiling man and woman are sitting by a very nice looking cake.
'4244': A man is standing off a skateboard at a skate park.
'4245': A utility vehicle parked in a wild vegetated field.
'4246': A basketball player is shooting a ball on the court.
'4247': The train engine is followed by a line of open cars.
'4248': A tan colored teddy bear stands beside a crochet covered chair.
'4249': A man working on his laptop in the dark.
'4250': A dog swimming a small wave with his owner surfing behind him.
'4251': A cat standing next to a white toilet near a bath tub.
'4252': 'A man looking in the refrigerator with a cat also looking inside '
'4253': White ornate seat in nicely decorated room with television.
'4254': A very dull dressed man with a black top hat.
'4255': An airplane is flying through a clear blue sky.
'4256': A blue and red plane and a helicopter are on a runway.
'4257': A woman poses on front of a large pizza
'4258': A display of different pizzas and salads in a restaurant.
'4259': A fire hydrant is decorated with an American flag design.
'4260': A small child is holding onto lawn decorations.
'4261': A handsome man in tight blue jeans.
'4262': A plate of shredded chicken with a broccoli cheese sauce.
'4263': Three customers and two employees interact in the deli.
'4264': A white dog is on a sandy beach while the sea foam washes ashore
behind it.
'4265': A table with a large cake, small plates of cake, and cupcakes.
'4266': 'A car is seen through the rain soaked window. '
'4267': Four smaller dogs are running away from the women on the bench next
to an umbrella stand.
'4268': A white toilet with a black colored seat.
'4269': Street markers pointing to different locations in front of a few
stores.
'4270': A young boy without a spoon looking at a birthday cupcake.
'4271': The hotdog bun is filled with carrots and greens.
'4272': A group of women standing next to balloons and a cake.
'4273': A sheep is running up a hill.
'4274': A baby sitting between a lady and a man on a bench under a tree.
'4275': A pillow covered reading chair in the spacious corner of the living
room.
'4276': A multi colored plate served on a white table cloth.
'4277': Young girl in black balances on a pink surfboard.
'4278': A man and a plant are sitting in front of a laptop computer in an
office.
'4279': A large round pie is sitting on a plate.
'4280': A private airplane with propellers flying through the air.
'4281': Two men walking through a glowing crosswalk at night.
'4282': The taxi driver is talking to his neighbor.
'4283': Bunch of flowers sitting in vase empty of water and rocks on bottom.
'4284': A black cat sits in a white bathroom sink.
'4285': Scissors with orange handles are in a container with pens.
'4286': A woman talking on the phone looks in the distance.
'4287': A couple of white bathroom sinks sitting next to a toilet.
'4288': Woman with plated food near crowd of people.
'4289': A group of young children sitting next to each other.
'4290': 'An old man reads a book on a bench. '
'4291': A herd of cows wandering on lush green grass.
'4292': A bicycle that has its wheels on the floor.
'4293': A woman holding a flickering cell phone with both hands.
'4294': A group of children standing next to each other.
'4295': Some baseball players standing in a dugout watching a game.
'4296': A black trash bag in a restroom next to a toilet bowl and a sink.
'4297': A woman holding a small white dog while wearing a black hat.
'4298': 'A giant elephant is next to the Aurora rents sign. '
'4299': Two spotted dogs running across patchy grass; one chasing the other.
'4300': A close-up of a table with three boxes of pizza and a vase of flowers.
'4301': A chair sitting in the middle of a garden, in a black and white
photo.
'4302': A guy in a green shirt holding his cell phone to take a picture.
'4303': A man with a hat holds a small child at a restaurant.
'4304': A person and a dolphin wearing a wetsuit are standing on a surfboard
and holding out a paddle in a large body of water outside.
'4305': A plane is in the sky as several are parked on a runway.
'4306': A red car is parked outside of a barred window.
'4307': Two computer monitors on a desk with a keyboard and mouse
'4308': A man standing on a vehicle with two large wheels.
'4309': A buffet with many pizzas and sushi lined up behind glass.
'4310': Jockeys races horses on the beach on a clear day.
'4311': A very crowded beach with a crooked light pole.
'4312': A banana sitting on top of oranges and other fruit.
'4313': The large crowd has dispersed and is eating.
'4314': A man dropping an umbrella on a sidewalk.
'4315': A colorful child holding a toothbrush stands in front of small chicken
decorations.
'4316': 'a kitchen with white appliances and brown cupboards '
'4317': A church steeple is shown amidst telephone wires, a billboard, and
lights.
'4318': Three people in black shirts playing with a white frisbee.
'4319': Truck viewed from the back with vans and trucks hidden behind in
the background of the image.
'4320': The airplane is parked on the runway in the airport.
'4321': A rabbit sitting on the front seat of a car.
'4322': A large modern kitchen has mangoes on the counter.
'4323': A woman biting into a doughnut with a sly look.
'4324': 'A person in a snow sporting event is going rapidly down this show
chute-type course as people watch from the sidelines. '
'4325': A sheep rubbing its back under a fence post.
'4326': A boy without a kite is standing on a sidewalk.
'4327': A man is staring at something on top of his hand.
'4328': A living room with a fireplace and a brick wall.
'4329': A small black and orange bird is perched on a table with banana
peels in it.
'4330': an image of a plate of food with meat and veggies
'4331': Four people play a game of mixed doubles tennis while another man
looks on.
'4332': 'A bathroom with toys and books for young children. '
'4333': A group of women standing around balloons and cutting slices of
cake.
'4334': A catcher swinging a baseball bat in front of a young man.
'4335': A table topped with a sandwich, chili beans and a container of fries.
'4336': A well-lit and well-decorated living room shows a glimpse of a stained
glass front door through the corridor.
'4337': 'A large dog tied to a yellow fire hydrant.
'
'4338': A young boy is posing in a large grassy area.
'4339': Two women with a young child at a table.
'4340': A couple of people with some skis in the snow.
'4341': a young man doing a jump with his skateboard in a skate park
'4342': A vase full of red flowers and a painting sit in a room with red
walls and red decorations.
'4343': A man in a camouflaged snowsuit is standing on skis.
'4344': A bowl holds stew with broccoli and other vegetables.
'4345': A man and a child are sitting on a bench with a church behind them.
'4346': The sausages are served with parsley on the side.
'4347': Two large trucks are travelling along a tree-lined roadway.
'4348': 'Two babies sitting on their potties in the bathroom. '
'4349': A standing toilet in a bathroom next to a window.
'4350': Display for bananas with a euro money sign
'4351': A bathroom with a tiled toilet and a black and white floor.
'4352': A white plate topped with dicked up lettuce next to carrots.
'4353': A kayak sitting on top of a beach next to a body of water.
'4354': Landing strip with several planes, two men and an SUV.
'4355': The bathroom has very white appliances and some greenery in it.
'4356': A very cozy looking living room without an oval table.
'4357': A bicycle resting on top of a bed in a bedroom.
'4358': A bunch of pizzas are on display under a case with sushi rolls.
'4359': A dog that is wearing a bandana and a dog collar smiling.
'4360': A bicycle leaning against a bed in a bedroom.
'4361': A baby tabby cat running behind a bicycle leaning against a wall.
'4362': MOTOR CROSS BIKE AND RIDER IN THE AIR DOING TRICKS
'4363': a close up of a grill of doughnuts
'4364': People are walking on the street by a flower market and a homeless
person.
'4365': A plane landing on the runway leaves a trail of smoke behind.
'4366': A man is playing with a green flying disk and a kite.
'4367': A makeshift bedroom is decorated in metal and cardboard.
'4368': 'Two pieces of luggage stand next to each other. '
'4369': A lady eating a hot dog with one bite taken from it.
'4370': 'A sitting room with old furniture roped off to the public. '
'4371': A female tennis player hits a tennis ball with her racket.
'4372': A young woman is holding a slice of pizza with her mouth.
'4373': A small bus on the side of a street.
'4374': Luggage of three colors and sizes in a row.
'4375': A blue plate with a green salad beside it.
'4376': a small television in front of a bookshelf
'4377': A cow and a dog are standing on a street corner.
'4378': A herd of goats grazing on a pile of hay.
'4379': A very clean and cozy looking kitchen that could be in a home magazine.
'4380': A stop sign and a traffic cone are on the side of a street.
'4381': A man and a woman in yellow shirt and black shorts are playing a
game of tennis.
'4382': There is a woman taking a photo of herself in the mirror
'4383': A woman wearing a skirt shows off her tatttoos
'4384': 'A man holding a stick while looking up. '
'4385': Three trees standing in front of a wall.
'4386': A person that is cooking some food in a kitchen.
'4387': A vintage yellow refrigerator hidden behind wood cabinetry.
'4388': A large group of zebras gallop through the grasslands of Africa.
'4389': A young man holding a microphone and a guitar and a skate board.
'4390': A herd of elephants swimming in a river while tourists take photos.
'4391': Grey helicopter taking off above some green vegetation.
'4392': A man in green shirt with cellphone reflecting in a mirror.
'4393': A man with a sparkling helmet on riding on an electrical skateboard.
'4394': The fence is behind the stop sign instead of on the street.
'4395': The dork with the earring sits beside the Asian beauty who is way
out of his league.
'4396': A small cat is walking behind a bike.
'4397': A man holding and dancing with an umbrella.
'4398': A table topped with a cracked white plate covered in three donuts.
'4399': Three sausages in buns with pickles are covered with various toppings.
'4400': A bowl of broccoli with sauce over it.
'4401': A man and a woman with suitcases are waiting for a train.
'4402': The man is walking with an umbrella near other pedestrians.
'4403': A zebra standing under a leaf filled tree.
'4404': The sheep with most of it's wool shaved off stands near the herd.
'4405': A little girl holding a white Nintendo Wii game controller.
'4406': A young woman sitting on a bench next to a fence.
'4407': 'a construction site sits in front of a stop sign '
'4408': A white, beige and brown baby bear next to a beige/white comforter.
'4409': A woman sitting by a wooden table with green glasses and food.
'4410': A flower vase and a plate of food attractively arranged on a table.
'4411': A white truck is parked on a sidewalk.
'4412': A zebra standing on top of a grass covered field.
'4413': An eyecatching sign shaped like an elephant holding a billboard.
'4414': A horse lying down in the dirt near a fence.
'4415': Two curly-haired small children petting animals at a zoo.
'4416': A pile of carrots for sale in an indoor market.
'4417': Bride and grooms arms cutting the wedding cake with flowers on top.
'4418': A clean industrial kitchen with no one in it
'4419': Two jets are swooping past each other in a bright blue sky.
'4420': A woman sitting on a bench and a woman standing behind the bench
at a bus stop
'4421': A vase full of flowers and candles is sitting on display.
'4422': A white truck with a red car sitting in it's back.
'4423': 'a young girl is getting her temperature taken '
'4424': 'A large dog sleeps on a duvet comforter. '
'4425': The little boy is having fun playing with a robot toy and a computer
keyboard.
'4426': A picture of a women standing beside a motorcycle with a side car
with a desert background of hills.
'4427': Here is Massachusettes candidate Scott Brown's campaign bus and
trailer.
'4428': A long-haired woman standing outside holding a racquet with both
hands.
'4429': A group of people standing outside of a bus.
'4430': Two giraffes nudging over a pole in a forested area
'4431': A group of people are standing around holding video game controllers.
'4432': View of landscape and a waterfall from a train window.
'4433': A squinting tennis player stares at a tennis racket.
'4434': A giant bear, penguin, and mouse on display at the mall.
'4435': A living room with a fireplace and glass slider doors.
'4436': A man surfing in a black ocean wearing a wetsuit.
'4437': A large and small hippopotamus are looking at something while standing
next to a log.
'4438': People sunbathing near a beach under monochrome umbrellas.
'4439': Two slices of pizza on a black plate
'4440': A swirled vase full of flowers is sitting on display.
'4441': A worn out stuffed toy bear with rubber green turtle displayed next
to chair.
'4442': A golfer who has just made a shot.
'4443': A tennis player hitting a ball from an above position.
'4444': A group of four women stand together in front of pizzas and lollipops.
'4445': A camera and a microphone with a computer are set up on a tripod.
'4446': A man on sidewalk holding a zebra strip umbrella.
'4447': A black cat and a rubber duck are sitting inside of a sink in the
bathroom.
'4448': A large white polar bear playing in water.
'4449': a kitchen with brown appliances and white cupboards
'4450': A bunch of cars driving out of a parking lot.
'4451': A red plate topped with crispy broccoli, meat and veggies.
'4452': 'A room with a fire extinguisher, mugs hanging from a shelf and
several lights. '
'4453': Giraffes share a grassland with wild pigs in Africa.
'4454': A truck painted green with designs parked by other vehicles.
'4455': A small clean aquamarine bathroom that is well lit.
'4456': Two planes are close together in the sky.
'4457': An older woman is talking in front of an elephant.
'4458': A table with a plate of food next to a cup of pepsi and a glass
of wine.
'4459': 'Small bedroom with a bed and dresser with a small monitor on top
of it. '
'4460': 'A man in a black hat, white shirt and black pants jumping a skateboard
off a bench. '
'4461': Two people sitting on a bench with a picnic basket near trees.
'4462': Two people are playing in sand with a frisbee.
'4463': Three balloons that are sitting next to each other.
'4464': The browned cracked crust of a baked berry pie.
'4465': Three adult zebras walk calmly along close together.
'4466': Elderly women washing motor cycles in the middle of a street.
'4467': A table topped with apples, oranges and bananas.
'4468': a tall clock tower with bushes and trees in the foreground
'4469': Outside shot of a hut showing the door partially open.
'4470': A pair of black handled scissors rest on a roll of clear packing
tape.
'4471': two giraffes and some yellow trees and green flowers
'4472': A man kisses the top of a woman's head.
'4473': A young man with a hat eating a hot dog with bun.
'4474': A desk with two computer screens, a Cecil Cooper bobble head, and
a lamp.
'4475': a cat sitting in the sink in the bathroom
'4476': A man and a girl are riding surfboards at the beach.
'4477': A street sign with a glittering "Bacchanalia" above a stop sign.
'4478': A white counter on a wood cabinet in a kitchen.
'4479': Several children watch while a girl in a little sweatshirt plays
with a Wii remote while another person with a pink girl on their lap snuggle
in a chair in the background.
'4480': A stop sign that is hanging upside down.
'4481': An office cubicle with four different types of computers.
'4482': A white horse and a bird are standing near a riding field.
'4483': A bed with a white blanket and a yellow pillow.
'4484': Professional baseball players watch the batter, catcher and umpire
'4485': A sheep with short hair stands over a fence.
'4486': A cat laying next to a chair in the living room.
'4487': An clock is encased in the wall of an older building.
'4488': A calico cat is sitting on the roof of a car at night.
'4489': A herd of sheep on the road and a car
'4490': A giraffe standing in the middle of a lush green field.
'4491': A man holds a tennis racket off a tennis court.
'4492': 'Two women are looking at many colorful, heart shaped cakes. '
'4493': The person holds a plate with two red apples far from pedestrians
holding umbrellas.
'4494': An elderly woman holds a toothbrush halfway out of her mouth while
brushing her teeth.
'4495': A brown bird with a white head flys over a large body of water.
'4496': People and their fishing nets on a little boat in the ocean.
'4497': A picture of a cell phone Calculator and a pen next to a computer.
'4498': A potato chip and beige snack delivery van in a parking lot.
'4499': A cow is right behind a man on green grass.
'4500': A zebra-print futon with red cushions in a student's room
'4501': A dining table with cakes and a tv monitor
'4502': A bunch of cakes are by a white flower.
'4503': There are two otters that are playing together in the water.
'4504': Two zebras fighting in an enclosed area with green bushes.
'4505': Two birds are outside and perched on someone's sneakers.
'4506': A woman in a weird dress poses on a blue chair.
'4507': 'A young kid is holding a box of pizza. '
'4508': A cat sitting in front of a laptop on top of a bed.
'4509': A bathroom with a toilet, bathtub, and a cat in a bathroom.
'4510': A black and white photo of two meters on a curb.
'4511': A lady wearing blue and green playing tennis on a red court.
'4512': 'A girl in a floral dress sitting next to a boy in a blue shirt
eating food. '
'4513': a woman swinging her tennis racket while playing tennis
'4514': A woman and a large herd of goats in a desert setting.
'4515': A CALICO CAT SITTING INSIDE OF A SINK IN THE BATHROOM.
'4516': A hand holding a hot dog on a bun without a wrapper.
'4517': A herd of animals grazing on a dry grass field.
'4518': A bed in a ten with a colorful ceiling.
'4519': A dog and a horse stand together in a field.
'4520': a living room that has some couches and tables in it
'4521': A white bird sitting on top of a lake.
'4522': A zebra is eating grass in a grassy yard next to a pond.
'4523': A purple flower is in a watering can on the window sill.
'4524': A cross country skier listens to music as she glides across the
snow.
'4525': 'Three people try to guide a horse into a trailer. '
'4526': a big garbage truck outside a blue house.
'4527': Two geese and a ram stand next to a fence in the yard.
'4528': Two laptops, a computer, a keyboard, and books are on the table.
'4529': A person with a white umbrella, with two dogs.
'4530': A girl pins a bouttoniere on the lapel of her date.
'4531': A grey and orange flashing fire hydrant next to a street.
'4532': A brown and white cow and a chicken are grazing in a yard next to
a street.
'4533': The stop sign and a traffic light are at a four way intersection.
'4534': A lady is sitting in a pastel colored bathroom in front of the bathtub
and there are Christmas lights hanging up outside of the doorway.
'4535': A group of people with skis at the bottom of a mountain slope.
'4536': An empty sidewalk with a crooked light pole.
'4537': A big and white horse in a dirt cage with a water trough.
'4538': Three skiers climb up a snow covered hill while a hot air balloon
floats in the sky above.
'4539': Some zebras walk together through the grass.
'4540': A big bowl filled with some pasta, shrimp, meat, and veggies.
'4541': Two men holding smart phones next to each other.
'4542': 'A man cuts a pizza to serve with salad and wine. '
'4543': A man is falling off a snowboard on top of snow covered ground.
'4544': A woman riding skis down a snow covered slope.
'4545': A woman walking beside a bench on the sidewalk as people go by.
'4546': A bedroom with a black bed sitting next to a large dresser.
'4547': There is a very large pizza with different toppings on it
'4548': Two zebras standing far from a little one.
'4549': A small cat sitting next to a banana tree.
'4550': Multiple computer desks with a screen on each.
'4551': Two brown bears interacting in a rocky area.
'4552': Several people holding umbrellas and standing far from deer.
'4553': A large living area without a bed and some couches.
'4554': Their workers stand next to each other with three baked goods behind
them.
'4555': A plate is filled with broccoli, noodles, and carrots.
'4556': There are many glass vases on the ground in the street.
'4557': Half an eclair on a plate and a coffee mug on wooden table.
'4558': A man standing by the ocean with a beach ball in his hand.
'4559': There is a stuffed animal sitting on the toliet.
'4560': Two people on a bench near the water.
'4561': A table with a plate of food next to a cup of pepsi.
'4562': a couple sitting on a bench with a little girl
'4563': A large bear laying down next to a leather hammock.
'4564': A pizza with Canadian bacon and mushrooms in a fluted pan.
'4565': A batter, pitcher and umpire in a baseball game with man recording.
'4566': A black and white picture of three lambs in front of a barn.
'4567': 'Old appliances outside the back door of a repair shop. '
'4568': Two young girls feeding goats in a pen.
'4569': A woman has headphones on and is holding a laptop.
'4570': Animals trying to either move or go around fallen tree branches
'4571': A cat laying down on a blue comforter with pink sheets.
'4572': Three hot dogs with different toppings lined up on a tabletop.
'4573': Several jets that are flying in the air performing tricks.
'4574': A man and a woman stand next to each other in a kitchen with a coffee
maker on the counter.
'4575': A man standing in front of some Clysdale horses and some tulips
in front of some houses.
'4576': A scowling young man stands over a lap top computer screen.
'4577': A man flies a kite near a young child.
'4578': The window of the refrigerator has several papers on it.
'4579': A woman and a dog are holding onto a piece of pizza with their mouths.
'4580': A green fruit tree yields fruit not yet ready for harvest.
'4581': Two horses and some goats are in an enclosed area during the day.
'4582': A man and a woman in white shirt and black shorts are playing tennis.
'4583': A woman holds a sick child who is getting her medicine taken.
'4584': Several bicycles and a horse drawn cart pull up outside of a building.
'4585': Three snowmobilers climb up a snow covered hill.
'4586': A person and a toilet standing in a room.
'4587': A person on a skateboard does a flip in a parking lot.
'4588': A little boy with a pink blanket and a remote control lying on top
of a couch.
'4589': An empty alley at night with lots of lights in the background.
'4590': A plastic flamingo is sitting with a toy.
'4591': A woman kicking a soccer ball during a soccer game.
'4592': A male tennis player is preparing to serve the ball tennis court
'4593': A couple of little girls playing next to each other.
'4594': A sign prohibiting skating on the sidewalk with green and red writing.
'4595': A plate of food standing in front of a young girl.
'4596': A group of young boys playing soccer near a tree on a field.
'4597': A close up of sliced hot dogs and potato chips placed in a sandwich.
'4598': a living room with a lot of chairs and a big entertainment center
'4599': Black and white of a person wearing a wetsuit standing on a surfboard
and holding out a paddle, in a large body of water outside.
'4600': The desk has two monitors and one laptop on it.
'4601': A hamburger with grated parmesan is on a plate in front of a TV.
'4602': Two break room kitchens are shown with a microwave.
'4603': A street scene with a horse pulling a white carriage.
'4604': A white decorated living room without a set dining room table.
'4605': The smaller lion is standing next to the larger lion.
'4606': A tennis player is standing and reaching to hit the ball.
'4607': A white plate with a donut and napkin sculpture.
'4608': A kayaker is paddling on the waves as a sailboat sails in the background.
'4609': A white and gray kitten pokes its paw at a mirror and looks at its
reflection.
'4610': Two men stand near a pond as one of them throws a Frisbee in the
water.
'4611': A white man with a blue surf board.
'4612': Twilight at a city intersection with lit street signs and a fountain.
'4613': A drawing of a young woman with many facial piercings.
'4614': A man in a jacket and hat looks at the camera.
'4615': A woman in blue jacket holding a brown bear cub.
'4616': Two big stuffed bears and a toy truck are sitting behind a chained
fence.
'4617': A dime sits next to a group of stones.
'4618': A shot of an elderly man inside a kitchen.
'4619': A sheep and a tractor are moving along a wide field.
'4620': A man has jumped a ramp with his electric skateboard.
'4621': A surfer rides the face of a wave.
'4622': A man standing on a street with a umbrella.
'4623': A skateboarder is doing tricks on a ramp.
'4624': A shallow dish style pizza with a slice cut out of it next to a
glass of white wine.
'4625': A woman riding a green motorcycle with a side car.
'4626': A table with a bowl, wine-filled glass, and bread, among other items.
'4627': A man sitting at a table with a cat eating food.
'4628': some ball players are looking home plate and talking
'4629': A bunch of different foods on display on a counter.
'4630': A car and a few buses are riding in the rain.
'4631': The action in a competitive professional basketball game with cheerleaders.
'4632': A bottle in a ice bucket sits on a floor next to a luggage rack.
'4633': There is some type of topping on the top of a bagel.
'4634': Two men and a dog play around on a nature trail.
'4635': Two stuffed bears are positioned at a table with a jar of honey
and a glass of milk.
'4636': People are ignoring a man delivering a lecture on a screen.
'4637': Three young women smile brightly together under a large umbrella.
'4638': Many surfboards are propped against a rail on the beach.
'4639': A wall urinal and a toilet paper roll in a stall with an auto sensor
flushing system.
'4640': A yellow BMW touring motorcycle parked in the street as people look
on from behind a steel rail on the sidewalk.
'4641': A blue stuffed animal sitting on top of a toilet in a bathroom stall
with black floor tile.
'4642': The view of a bathroom with a freestanding sink.
'4643': A bear walks through several grasses near tall trees.
'4644': a man in a blue shirt playing with a white ball
'4645': A cat stretched out on a bed for a nap.
'4646': There is a living room with a table, bookshelf, and TV.
'4647': This picture looks like a janitors closet with buckets on the floor.
'4648': a white horse pulling a carriage with a man on it.
'4649': A man in a pink shirt and black pants holding a neon green umbrella.
'4650': Four baby elephants stand near to a larger adult elephant.
'4651': A cat laying down in a bathroom sink with a rubber ducky.
'4652': Congested cars are stopped at a traffic light on a highway.
'4653': A man standing in front of a few horses and a dog on the street.
'4654': The black and white photograph of a classroom of schoolchildren
is sharp and clear.
'4655': A plate of chocolate coffee cake with butter and an orange slice
on a table with breakfast foods.
'4656': A man gets air catching the glowing Frisbee near the water.
'4657': A vintage series of photos of two plates with different desserts
and another plate with a cup of coffee.
'4658': A camera is shown viewing 3 cupcakes, one of which is being touched.
'4659': A man and a child dressed in black snow gear stand on skis in the
snow.
'4660': A limping man walking with an umbrella near a railing above a river.
'4661': An enamel-coated skillet contains diced meat and mixed vegetables.
'4662': Scissors and other utensils in a cup sitting on a desk next to a
plant.
'4663': Several children playing a game together outside without boats in
the background.
'4664': The front end of a red motorcycle that is on display.
'4665': A dog sits on top of a canopy bed in a room.
'4666': Large four sided clock hangs on the corner of the building.
'4667': A small bird inches above flat surface near water.
'4668': Some children who are playing video games together.
'4669': A woman sitting on a bed looking at a book.
'4670': A white bed in a bedroom far from a table on a lamp.
'4671': A woman sitting in front of a laptop computer in an office.
'4672': Two men wearing bright yellow construction jackets eating and standing
under an orange umbrella
'4673': A gentleman walking in the rain along a river.
'4674': Two large trucks are travelling along a deserted roadway.
'4675': Two cake pans sitting and cooling on the counter.
'4676': A group of four zebras standing in different positions.
'4677': A camera with a computer is set up on a tripod
'4678': A street sign that reads Sparta sitting next to a tall building.
'4679': 'A young boy is flying a kite in a park. '
'4680': A black and white dog catching a blue flying disc
'4681': a table with a calculator and phone siting on it
'4682': A woman standing in front of the Eiffel tower near pigeons.
'4683': A man and a child in florescent green hoodies are holding fuchsia
umbrellas.
'4684': 'Cowboy riding a horse in a huge pasture..
'
'4685': A red bike is parked outside of a barred window with a flower pot
on the windowsill.
'4686': A person holding an older model of a smart phone with a cracked
screen.
'4687': A shocked looking man in the mirror about to brush his teeth.
'4688': A guy and a pretty girl taking a picture in the mirror.
'4689': A kitchen with a teapot beside the stove and books on a shelf.
'4690': A boat is floating in the water near the sand.
'4691': A plate of polenta and mushrooms, a tomato, and broccoli.
'4692': A white and red helicopter parked on a tarmac.
'4693': 'a man with a tennis racket gets ready to swing his racket '
'4694': A male skater jumps in the air at a skate park.
'4695': A man reaching out to catch a frisbee.
'4696': A teddy bear is sitting in front a group of boxes.
'4697': A front shot of a police car is parked on the side of the road.
'4698': There are meats and vegetables on a flatbread
'4699': A couple of people standing cutting a cake.
'4700': A man jumping up on a black tennis court with a blue tennis racket
in his hand.
'4701': A close up of a tinted vase with flowers.
'4702': Two plates topped with white food next to white dishes.
'4703': a lady using a knife and fork to cut a pizza
'4704': a close up of a cake on a plate on a table
'4705': A white toilet with a black seat on top of a tiled floor.
'4706': A large black and beige cat stands near a chair and a television.
'4707': A truck painted green with designs is moving towards other vehicles.
'4708': A view of a bathroom with the shower curtain open.
'4709': A couple of pieces of very nice looking luggage.
'4710': A bowl of juice next to a very close banana.
'4711': A sandwich with meat sitting next to grapes and an apple.
'4712': A giraffe all by itself in the green forest.
'4713': A man sitting on a bench in a wood.
'4714': A dime surrounded by a bunch of stones with holes in them and seashells.
'4715': A fish eye shot of people sitting outside among flowers at a cafe.
'4716': The bus and a bicycle are pulling off to the side of the road.
'4717': Two jets are flying against a bright blue sky.
'4718': A canoe and a barge are floating down a river with the skyline in
the background.
'4719': A bus going to crosstown parked on side of road.
'4720': A coin meter that is clean all over it.
'4721': Two plastic containers next to a wooden table.
'4722': A woman is drinking water from a red bottle.
'4723': A dense cake with fruit in it sitting on a chipped blue plate.
'4724': A man is kissing a woman on the top of the head.
'4725': several sail boats in the water at night
'4726': A park bench and street signs are on the corner of Furnace St and
Crapo St.
'4727': A hamster looks at a person holding a bottle.
'4728': A man in a purple shirt and matching tie looking pensive.
'4729': A black cat sits in a porcelain white bathroom sink.
'4730': A burger with tomatoes on it sitting on a table in a restaurant.
'4731': A beautiful woman cooking spices and food in a kitchen.
'4732': A bathroom has red walls with yellow accents.
'4733': A man is cleaning the bathroom mirror.
'4734': Suitcases on top of a carrier onto of a vehicle.
'4735': there are gathered types of food on the many different tables.
'4736': The airplane is flying over the runway at the airport.
'4737': Small train like structure riding down a dark train way.
'4738': A small child is outside the kitchen with an adult and dog.
'4739': A prop plane parked at an airport with support vehicles around it.
'4740': A group of friends standing on a subway while using cell phones.
'4741': 'Man in dress shirt and orange tie standing inside a building. '
'4742': Three people and a monkey ride on an elephant in front of a forest.
'4743': Some gazelles and one is by some water.
'4744': two teddy bears sitting at a table looking at a jar of honey
'4745': The tray has two sandwiches and a bowl near a beverage.
'4746': A yellow and blue plant swaying in a gray sky.
'4747': a big sandwich on a small silver plate with a bowl of broth on the
side
'4748': A ski resort with a bunch of people skiing down hill and going up
hill, while enjoying hot chocolate.
'4749': a purple mug is next to a bowl
'4750': A woman sitting on top of a wooden bench near a pond in a park.
'4751': The bathroom door is open with the light on.
'4752': People are walking on a sidewalk near a sign that says no peddling.
'4753': A man holding a black umbrella standing on his tip toes.
'4754': A fire hydrant waits in front of a tall building.
'4755': A large wooden pole with a green street sign leaning against it.
'4756': A person holding a black umbrella looking at a body of water.
'4757': A kitten is running next to a parked bike inside.
'4758': Two monogrammed pieces of hard luggage are seen here.
'4759': A woman covered in snow skis down a slope.
'4760': A toilet lid is closed next to a shower with a white curtain and
pink tile wall.
'4761': A large group of people standing next to a couple of buses.
'4762': Zebras and giraffes separate in a zoo cage.
'4763': A black sheep, a donkey, and others are in a corral together.
'4764': a teddy bear holding a stick next to a block toy
'4765': A couple playing a game of frisbee on a wet sandy beach.
'4766': There are many people who are gathered at a get together or a party
'4767': A woman and baby at a train platform.
'4768': A plate of sandwiches, half eaten pizza, and salad.
'4769': Two people standing next to a life size replica of a suitcase.
'4770': A distant view of a table with three boxes of pizza.
'4771': A van parked in an indoor parking lot.
'4772': A wooden table with a book and an inverted umbrella on it.
'4773': A residential bathroom with a sink, tub, toilet, and a rug setting
in it.
'4774': A sandwich on top of a metal tray next to a bowl of dipping sauce
and a soda can.
'4775': ON A CITY ROAD THERE IS LOTS OF TAXIS
'4776': A large modern kitchen has pineapples and a coffee mug on the counter.
'4777': 'The neon purple toilet with lid lifted is in the bathroom with
brown tile. '
'4778': A herd of sheep resting beside a pile of hay.
'4779': A woman holds a brown horse while a woman rides it.
'4780': A bluebery cake is on a plate and is topped with butter.
'4781': A woman in pink shirt holding a hotdog by tables with umbrellas.
'4782': A bicycle rider cycling on the edge of a ramp.
'4783': A woman holding a tennis racquet in the yard.
'4784': a group of people that are standing up outside
'4785': A small closed futuristic toilet in a cramped space.
'4786': Tall boxes and bicycles are stacked on a brown sidewalk outside.
'4787': A police officer on a motorcycle riding towards the corner.
'4788': A kite flying around a park with two men near it.
'4789': There is a living room without a wide open view.
'4790': A young boy gets ready to fly a kite with his dog.
'4791': A bunch of sheep are walking around bored.
'4792': 'A plane flies by next to some power lines '
'4793': A desk with a television, two mice, a cup and a keyboard on it.
'4794': Several people on surfboards who are riding a wave.
'4795': A man sitting in front of several glasses, talking on his phone.
'4796': A man holding onto a yellow frisbee while having long hair.
'4797': The plane is departing from the gate at the airport terminal.
'4798': Two black dogs next to a couch sleeping peacefully.
'4799': 'A man wearing glasses eating a donut. '
'4800': The kitchen is dirty and ready for us to see.
'4801': A young musician talking into a microphone.
'4802': A woman that is standing up in front of a table.
'4803': A woman with a cane and shopping bag sitting
'4804': A person in a black snow suit near a pair of skis in the snow.
'4805': A group of children and some ducklings are standing next to each
other.
'4806': A man in a black shirt plays on an ocean wave.
'4807': Some zebras are running on a plain of sands and grass.
'4808': Animals trying to either move or go around fallen tree branches
and a bucket.
'4809': A woman and a child playing tennis with spectators behind them.
'4810': a pretty lady with a red book smiling on a white bed
'4811': A man holds a bat while a woman watches.
'4812': A clean bathroom with mirrors, a bathtub, and a toilet.
'4813': A glass table holding two vases of flowers.
'4814': The black cat with white patches is sitting beside a remote control.
'4815': A couple of cars parked in a lot.
'4816': A man looking inside the refrigerator.
'4817': Cows are on a grassy field and one of them is a white and black
baby.
'4818': A couple of stop signs sitting under a red street sign.
'4819': A group of blue teddy bears sitting on top of a different colored
table.
'4820': A group of women sitting on a bench near a light pole.
'4821': A girl swinging a tennis racket in a match.
'4822': A bedroom with a bookshelf, a bed, and a flat screen TV on top of
a wooden dresser.
'4823': A tall child wearing a tie and holding a suitcase with other people
in the background.
'4824': A man and a child are standing on a lush green field under a kite.
'4825': A picture of an orange bathroom sink and a mirror.
'4826': There are two electronic devices next to the laptop.
'4827': A boy playing tennis on a yellow and green tennis court.
'4828': A man talking on a cell phone outside of a fast food place with
a bicycle parked next to him.
'4829': A metallic refrigerator freezer is next to a wooden counter with
a vase of flowers on it.
'4830': A tall street sign on a variety of light posts in front of a building.
'4831': A boy is throwing donut holes while sitting at a dinner table.
'4832': A bride and groom are dancing while they smile.
'4833': Two women standing beside a park bench, one looking over her shoulder.
'4834': A tunnel in the distance with multiple different colored lights.
'4835': A child is near a row of luggage carts as one man pushes a cart.
'4836': Woman carrying cake near man holding baby at outdoor celebration.
'4837': A skillet on a stove with meat in it.
'4838': An elephant and a parrot standing under the shade of a tree.
'4839': A man is standing on a tennis court with a racket.
'4840': A living room and kitchen areas features red, white, and wooden
furniture.
'4841': A young boy riding on top of a skateboard.
'4842': A plate holds a large salad with broccoli and carrots.
'4843': A woman in a green jacket skiing down a slope.
'4844': A girl is sitting on a brick wall next to a bicycle and using her
cell phone.
'4845': A single horse standing on top of a green field.
'4846': A child playing with a plastic bat and ball in a yard next to a
trampoline and garage.
'4847': A boat sitting on top of a beach next to a body of water.
'4848': A woman not wearing a pink hair towel is relaxing outside the factory.
'4849': Five desks with a computer in a row on each of them.
'4850': 'A young person is on their ski board in the snow. '
'4851': Two men wearing black and white striped ties cross the street at
night.
'4852': A row of white teddy bears on shelf next to DVDs.
'4853': An elephant walks around his exhibit at the zoo
'4854': Many caps and gloves sit behind the players in a baseball dugout.
'4855': A teddy bear sitting with a Finding Nemo stuffed animal on a bench.
'4856': A mattress sitting on top of three remotes.
'4857': A small, white formica kitchen with bar stools, a refrigerator,
sink, and small electrical appliances.
'4858': The dining table near the office has a bowl of fruit on it.
'4859': A man and woman are in a garden.
'4860': A black and white portrait of a bearded male.
'4861': A white bus is speeding past a sidewalk.
'4862': Two little girls sitting on the side of a white boat.
'4863': A person standing near a group of tennis nets.
'4864': Two girls are playing the Wii game system together.
'4865': A picture of a little statue surrounded by flowers in some dirt.
'4866': A woman standing next to a herd of animals and a bird.
'4867': A white cat with black paws is standing among some wooden boards
and a toy.
'4868': An image with a child holding an umbrella.
'4869': 'an open box of doughnuts on a table '
'4870': A very old red bicycle that is parked on some grass.
'4871': All of the cows are lying down, eating some hay.
'4872': Bunch of people sitting in the back of a dump truck
'4873': A red bench beside a slanted floor has the Coca-Cola symbol on it.
'4874': A group of kids posing for a picture next to a tennis court.
'4875': A large hamburger with cheese and ketchup on a plate.
'4876': Four bananas separate from each other with brown dots.
'4877': A pizza box sitting on top of a pizza covered in cheese.
'4878': A surfer on a white board riding a small wave and a shark swimming
nearby.
'4879': A broken telephone pole in a neighborhood with a stop sign and a
flower pot attached to it.
'4880': Surboarders are in the water and waiting on the shore.
'4881': A herd of cows grazing in a grassy field.
'4882': A bus is speeding down a dark road.
'4883': A person on skis is being pulled by sled dogs through the snow.
'4884': 'Three skiers pose in the snow in front of barren trees. '
'4885': A child petting two dogs on the side of the street
'4886': A man holding a dog wearing a costume in his arms.
'4887': A woman holds a sick child who is getting her temperature taken.
'4888': A pizza with bacon bits and spinach leaves on it.
'4889': The smaller giraffe is standing next to the larger giraffe.
'4890': A light pole is sitting near a group of women on a bench.
'4891': Three hotdogs and sushi rolls are prepared and loaded in different
ways.
'4892': The bowl of noodle salad has broccoli, corn, and meat in it.
'4893': A plate of food with a fried egg and colorful vegetables.
'4894': a girl holds a baby eating a bagel with a boy standing next to them
'4895': Rows of cylindrical cakes for sale in a bakery, seen behind glass
with a customer admiring them.
'4896': a bunch of sheep are standing behind a fence
'4897': A man in a black shirt stands beside an ocean wave.
'4898': A person on a snowy slope on a snowboard.
'4899': 'A clock tower stands in front of a large mirrored sky scraper. '
'4900': Two cake pans with cake on top of a stove and a coffee pot next
to it.
'4901': A man taking a picture of items for sale through the front window
of a store.
'4902': A cat and a bird are sitting in a tree, staring at the camera.
'4903': A woman with a dented tennis racquet that is on a tennis court.
'4904': A rainbow with a city street in the background.
'4905': There is a street sign next to a stop sign near a tree.
'4906': There are two slices of pizza on a paper plate.
'4907': A giraffe standing in the shade of two trees.
'4908': A train traveling down tracks next to a red field.
'4909': A street sign with six different locations on it.
'4910': Waffles and a pizza with vegetables and cheese are resting on a
board.
'4911': A red truck driving on a grassy field next to other trucks.
'4912': A woman talking on a phone sitting next to glasses and keys.
'4913': A man and a child are cutting a piece of cake while a person in
costume stands behind them.
'4914': a chicken meal with carrots broccoli and rice
'4915': She is cross-country skiing for the exercise it provides for her.
'4916': A display in a store filled with lots of bottles of soda.
'4917': A living room with a small table next to a book shelf.
'4918': A kayak and a boat have docked next to a wooden pier.
'4919': ' A young man with glasses eating a hot dog with bun.'
'4920': A young man kissing the top of a young woman's head.
'4921': A man takes a selfie with a black and white phone.
'4922': An American flag painted fire hydrant with balloons hanging at its
side and chains.
'4923': A view of a work desk complete with computers and camera.
'4924': A poorly-lit and poorly-decorated living room hides a glimpse of
a glass front door through the corridor.
'4925': A woman standing beside a wooden bench viewing some beautiful trees.
'4926': A wooden spoon in a soup pot on the stove.
'4927': A fire hydrant stands at the corner of two city streets.
'4928': 'A personal pizza on table in restaurant '
'4929': A group of cows who are standing together.
'4930': A bed with white and gray bedding and netting overhead.
'4931': A bunch of similar foods on display on a counter.
'4932': Lettuce and tomatoes next to a slice of pita bread.
'4933': An audience is looking at a film of a monkey taking that is projected
onto a wall.
'4934': Two young children holding a large teddy bear.
'4935': A group of people gathered together outside near a tent.
'4936': An orange cat sitting inside a bathroom sink.
'4937': A girl is leaning against a brick wall using her cell phone.
'4938': 'Several surfboards standing in a row on the beach '
'4939': A man and child standing next to a street with fruits in baskets.
'4940': A man holding onto a long frisbee while having yellow hair.
'4941': A cell phone underneath a calculator near a computer keyboard.
'4942': An elderly man hitting a ball with a racquet.
'4943': An image of a man getting ready to serve on the tennis court.
'4944': Two brown bears in water with a fish open their mouths to each other.
'4945': Three workers stand next to each other with their baked goods behind
them.
'4946': 'The woman is playing a game of tennis on the court. '
'4947': 'A well-lit and well-decorated living room shows a glimpse of a
glass front door through the corridor. '
'4948': A catcher is ready to catch the ball after it crosses the plate,
and a bat is lying on the ground nearby.
'4949': A dog peeking out from under some covers.
'4950': Small group using laptops and speakers in a classroom.
'4951': A red stop sign is glowing against the dark sky.
'4952': A balloon and an airplane are flying in the air during the day.
'4953': A girl in a green shirt holding her cell phone to take a picture.
'4954': A few cows grazing in a field near trees.
'4955': A black cat sitting on top of a sink in the bathroom.
'4956': A white plate on top of a table topped with fruits and vegetables.
'4957': One person rests on a bed in a bedroom where a dog is also sitting.
'4958': A family playing a game of frisbee on a wet sandy beach.
'4959': Airplanes do fly in unison during an air show.
'4960': A sun bear yawns and extends its long tongue.
'4961': A bear and cub on a marble display.
'4962': Plates of food and two glasses of white wine are on a table.
'4963': Two woman wearing no shoes playing video games
'4964': Two buses are near a river with other cars and trees in the background.
'4965': 'A red Dodge truck is parked near another Dodge. '
'4966': His surfboard carries a man near incoming waves.
'4967': African animals placidly grazing in a park enclosure.
'4968': An adult standing with a small suitcase on a street.
'4969': A lion laying in a canvas type net.
'4970': A small black and orange bird is perched on a table with banana
peels and candy wrappers in it.
'4971': A bathroom without toys and books for young children.
'4972': Many types of fruit and flowers on display on a street.
'4973': Cattle are running in a bright green pasture along a river and mountains.
'4974': Palm trees are in the foreground of a picture with a clock tower
standing above them.
'4975': A giraffe and the rest of the herd are walking in dry grass while
an elephant is drinking water.
'4976': A rowboat with paddles and no passengers is on the beach.
'4977': The seven alpacas are preparing to be sheered.
'4978': Two hot dogs are sandwiched between two slices of bread
'4979': Several people crossing a road with one person having food in their
hand.
'4980': A herd of elephants standing on top of a field.
'4981': A person is sitting and shows his tie off.
'4982': A woman with a knife cutting a red cake.
'4983': A baseball player holding a bat while standing on a field with teammates.
'4984': A man and young girl sit behind a display of fruits.
'4985': A desktop computer sitting on top of a wooden table.
'4986': A group of people and a horse are walking down a mountain road.
'4987': A man is herding his goats is the desert
'4988': A cat sitting in a bathroom sink next to a mirror.
'4989': A man on a skateboard is coming up a ramp.
'4990': A group of young and older dogs standing around.
'4991': Small automobile parked on the side of a beach area.
'4992': A solitary person walking along a snow covered mountain side.
'4993': A person with a florescent rainbow umbrella looking at the ocean.
'4994': 'a man wearing ski equipment on a snowy slope '
'4995': A banana is next to a plate with cookies and peanut butter.
'4996': A couple is dressed in black and the male with a pierced nose has
a drink.
'4997': A glass sign is hung on a wall behind two clocks.
'4998': A herd of llamas walking across a lush green field.
'4999': A woman is falling off skis on snow covered ground.
'5000': A man on skis sliding down a snowy hill.
'5001': A herd of sheep grazing in a grassy field.
'5002': Two vases filled with flowers on a marble table.
'5003': A young boy with a guitar is posing in a large grassy area.
'5004': A street sign in front of a beach house.
'5005': A ship turned into a traveling showcase for a University.
'5006': Two teddy bears sitting at a table with honey
'5007': A man using his laptop while his dog looks at the screen.
'5008': Man brushing his teeth and looking at his phone.
'5009': A woman sitting in a kitchen preparing food.
'5010': 'A double decker bus parked near a curb by trees. '
'5011': 'A turboprop airplane that is in the hangar for repair. '
'5012': A bus and a bicycle are sitting on the side of the road.
'5013': A bath and a toilet in a small room.
'5014': A man walking on the beach carrying a surfboard.
'5015': A gate is near lots and lots of luggage that is all grouped together
in different clusters.
'5016': A man standing at a train station near a pile of luggage
'5017': African elephants file through dry grass and shrub growth.
'5018': A lady dressed in khakis standing in a bathroom on top of the sink.
'5019': 'A surfer is on the water and is waiting for a wave. '
'5020': A couple of slices of pizza and a fruit salad are on top of a white
plate.
'5021': A renovated building with two planters outside the door.
'5022': A large cat sitting in a bathroom sink under a cracked mirror.
'5023': Guy takes a picture of his dog outside the car through his side
mirror.
'5024': A baby is dropping a toothbrush from its hand.
'5025': Three bottles of beer and two bananas on a counter.
'5026': A bunch of tubs are separated from each other.
'5027': Man in pink and black body suit on skateboard.
'5028': A herd of cows walking along a grassy hillside grazing.
'5029': The bride and groom stand behind a square, multi-layer wedding cake.
'5030': A stuffed teddy bear sitting on a metal sculpture
'5031': A woman in blue sweater holding two cellphones while wearing headphones.
'5032': A sandwich on a plate with three slices of bread, tomatoes, salad,
and chips on the side.
'5033': A little boy running on a field with a kite over his head.
'5034': Two stuffed bears are positioned at a table with a jar of honey
'5035': A sign on a sidewalk has a teddy bear on it.
'5036': A woman holding a piece of pizza in front of a kid.
'5037': Car with window down and dog sticking out while taking pictures
'5038': A man standing at the edge of a beach holding up his hand.
'5039': A man crashing through the air while riding a skateboard.
'5040': A metal blender on top of a stone counter.
'5041': Two men are dropping phones, causing them to unlink.
'5042': A man in black wetsuit on white surfboard riding wave.
'5043': A woman holding a wild animal on her shoulder.
'5044': A serious man is holding video game controllers.
'5045': Some girls in colorful shirts walking past some pastries.
'5046': a man wearing a hat holding a dog wearing a hat
'5047': A small bathroom has a sink, a storage rack over the toilet, and
a shower curtain.
'5048': There white cows in grassy area with temples in background.
'5049': A man in a green shirt is taking a picture with his cell phone.
'5050': a white fire hydrant between two orange poles on the side of a sidewalk.
'5051': Man in yellow and black body suit on skateboard.
'5052': A white refrigerator freezer and a dishwasher are sitting inside
of a kitchen.
'5053': A grilled sandwich with cheese served on a copper tray.
'5054': A man walking along train tracks with bags of luggage.
'5055': A young man hitting a ball with a racquet.
'5056': A man running his dog down a sidewalk.
'5057': A man stands beside a bus in a snowy forest at night.
'5058': Headless statues show of clothing beneath a colored background.
'5059': A couple of slices of pizza on top of a white plate.
'5060': A dog that is laying on a couch.
'5061': A bathroom has a sink, toilet, and mirror in it.
'5062': A woman taking a photo of her food with a cell phone.
'5063': A woman is sleeping with her head on a pillow.
'5064': Two people are sitting on many benches next to a light pole.
'5065': A woman holding two blue cellphones while wearing headphones.
'5066': A lot of sheep all in on grassy area.
'5067': A utility vehicle and a tent parked in a wild vegetated field.
'5068': A woman leaning on ski spikes on a snowy mountain.
'5069': A passenger jet is landing next to some trees.
'5070': A bald man in a black jacket is flipping through a large book.
'5071': A plate holding a grilled cheese sandwich and bowl of soup.
'5072': A street sign prohibiting bicycles, skates, and skateboards.
'5073': 'Brown cows laying down in a field of grass. '
'5074': A teddy bear and a ball are sitting on some kind of seat.
'5075': A surfer paddling on a board to go catch a huge wave.
'5076': A plate on a glass table full of bread.
'5077': 'The boys are playing soccer and they are running the ball '
'5078': the seven sheep are preparing to be sheered.
'5079': There is an empty tiled bathroom, with two sinks and two broken
mirrors.
'5080': A living room with walls painted blue and purple and furnishings
and accents in shades of beige.
'5081': A woman stands on a beach next to some water.
'5082': A street sign with flags and a high rise building in the background.
'5083': An adult man in a suit about to enjoy a bearded beverage.
'5084': A sculpture of a toilet made from carved wood.
'5085': There is a red bike that is on the street.
'5086': A sheep is being carried up a hill.
'5087': A man in a neon green shirt and black shorts holding a pink umbrella.
'5088': 'a young girl making a plate of food '
'5089': Man in orange shirt and dress tie standing inside a building.
'5090': A cruise ship sits out in the water while a large grey building
sits in background.
'5091': A traffic car is parked at a red light.
'5092': Plates that have a burger, french fries, and condiments beside them.
'5093': A boy getting ready to blow out birthday candles with a girl watching.
'5094': 'a man pets a cat over a bag '
'5095': A group of giraffes standing in dirt field with trees in background.
'5096': The batter, catcher, umpire, and cheerleaders are present during
a baseball game.
'5097': An image of a very cute girl with face piercings.
'5098': One zebra resting its head on the back of another.
'5099': a couple of buckets in a white room
'5100': A cat perches on top of an entertainment center in front of a TV.
'5101': A woman is sitting near a prominent landmark.
'5102': A deep dish style pizza with a slice cut out of it next to a glass
of white wine.
'5103': Trade show visitors and workers outside a vendor booth.
'5104': A man and a child eat a hot dog while looking at the camera.
'5105': 'An elegant room with burgundy and floral furniture. '
'5106': A man looks at a cart full of bananas.
'5107': A medium sized dog is running towards some people.
'5108': Two tall clear glass windows with a cat sitting at the base of each.
'5109': 'Small child getting her hair dried with a man standing behind her. '
'5110': A banana placed on a phone on a table.
'5111': Two small birds flying above a sidewalk next to patches of grass.
'5112': A woman wearing cowboy gear is sitting on a horse.
'5113': A man next to a surfboard is watching the waves.
'5114': 'A highway with a green exit sign and a yellow traffic sign. '
'5115': A white bus parked at a stop next to a crowd holding umbrellas.
'5116': A living room with hard wood flooring and two book shelves.
'5117': A couple of men sitting next to train tracks.
'5118': Trays of pastries and sandwiches beside a bowl of soup.
'5119': A group of different colored teddy bears sitting on top of a blue
table.
'5120': A bunch of pedestrians are walking down the road.
'5121': Four surfers are avoiding a wave as they stand.
'5122': A white train hauling cargo along a track.
'5123': A young man reads a book on a bench.
'5124': A child hiding under a baseball cap with a remote control and a
sippy cup.
'5125': One man and three women sit at a table eating pizza.
'5126': Two children sit at a table with honey.
'5127': A group of gazelles stand in front of a group of trees.
'5128': A man and a large herd of goats are in a desert setting near an
oasis.
'5129': A variety of desserts are being put away after people enjoyed them.
'5130': Three big llamas are in an enclosed pasture.
'5131': A left-handed male tennis player stands on court and prepares to
hit the ball.
'5132': A young man standing in a kitchen posing for a picture.
'5133': A laptop computer and a desktop computer on a white desk
'5134': A flock of white birds is flying above a parking lot puddle.
'5135': Zebras share a grassland with wild pigs in Africa.
'5136': a rock like table with a notebook and pen on it
'5137': Some white frosted flowers sitting in front of a white cake.
'5138': A man sitting beside a bus near a billboard.
'5139': A man with a football gets ready to throw the ball.
'5140': A woman holding a small pepperoni pizza at a table.
'5141': A man sitting by a circular table with food in bowls and pans.
'5142': A bedroom with a large bed sitting next to a white dresser.
'5143': A large white polar bear next to the water.
'5144': Two women are standing across from each other in the park.
'5145': A child and woman holding a knife up to a small cake.
'5146': A young man stands over a lap top computer screen.
'5147': A group of kids in casual clothes standing together in front of
various types of donuts.
'5148': A striped teddy bear is sitting on a chair.
'5149': a red fire hydrant in front of a white car
'5150': A basket filled with flowers next to a smaller vase filled with
even more flowers.
'5151': A kitchen filled with metal appliances and a window.
'5152': A teacher is outside on his bike.
'5153': A living room with white furniture and a small glass table.
'5154': A baker is working in the kitchen rolling dough.
'5155': A stop sign vandalized with an "eating animals" sticker below the
word "stop."
'5156': There are two children sitting on the floor, one is a baby.
'5157': A woman is standing next to a chair with an umbrella.
'5158': A bed with a dog and two cats lying on it.
'5159': A plate with a banana and carrots and cheese.
'5160': The lid is down on the toilet bowl.
'5161': A woman is watching other people play a Wii game.
'5162': A big black and white cow and a sheep standing next to a pole.
'5163': A table topped with a cake covered in berries next to a plate of
apples.
'5164': A flock of white birds stands in a parking lot puddle.
'5165': Two red lit traffic lights with a blue sky behind them.
'5166': A muddy dog is laying with its water dish in front of it.
'5167': A black rabbit sitting inside a bathroom sink.
'5168': A painting of fruit and a candle next to a vase.
'5169': A man holding a microphone in one hand while he holds a skateboard
in the other.
'5170': Three birds huddled together in a open field.
'5171': People are standing around playing a video game.
'5172': A cathedral is covered up in bright lights at night.
'5173': A polka-dot white umbrella that has been blown up the wrong way.
'5174': A child, two men, and one woman are in front of an elephant.
'5175': A motorcycle and a bus are traveling down a curvy road behind a
black car.
'5176': Two large giraffes inside a fenced area stand together far from
many rocks.
'5177': A squirrel sitting on top of a bowl of seed.
'5178': A parrot in a bathroom with a tub and a toilet.
'5179': A Christmas ornament is a donut with a squirrel on it.
'5180': Two men are on a bicycle and a third is on a scooter.
'5181': A man is riding a horse in an open field.
'5182': 'A police officer on a motorcycle sitting at the corner. '
'5183': There are pedestrians walking passed a traffic light.
'5184': Group of people play video games at bestbuy
'5185': Several jet planes descending in unison in a v formation.
'5186': A bathroom has yellow walls, a brown ceiling, and a closet in it.
'5187': "A man is playing catch with two children and a dog. \n"
'5188': A kitchen that has a bowl of fruit on the table.
'5189': A couple of computer monitors and some paintings are sitting on
top of a wooden desk.
'5190': A man is walking a dog on a sidewalk.
'5191': There is a plate with pastries and a book next to a keyboard.
'5192': A woman holding a slice of pizza and reaching for a fork.
'5193': A stuffed teddy bear and three cats on a stone wall.
'5194': A man and young girl surrounded by various vegetables.
'5195': A man lying on a beach by a person with a beach ball and a kite.
'5196': A display of wooden food and spices on a fine table.
'5197': A small child is holding onto flowers and lawn decorations.
'5198': Several people and children are sitting on some benches.
'5199': A Fedex truck drives in front of hills and a river.
'5200': A stuffed bear and a teddy raccoon sitting on a faded wooden outdoor
chair.
'5201': A vase that appears to be made out of wood.
'5202': A grandmother holds a spoon and looks at a cupcake.
'5203': A grandma is eating out of a tray.
'5204': A kid is wearing a striped shirt on a coach.
'5205': A beautiful blonde woman in tight ripped blue jeans.
'5206': A collection of sinks and basins are in use.
'5207': SIX PEOPLE ON A BUS, WITH FIVE OF THEM ON THEIR ELECTRONICS
'5208': The old fashioned train is going under the bridge.
'5209': A trash can and street signs are on the corner of Gladys and Detroit.
'5210': A dog and cat are playing together on an orange couch.
'5211': A person on a skateboard and bike at a skate park.
'5212': An Air Force jet flying through puffy white clouds in a deep blue
sky.
'5213': A kitchen with a spotted teapot on the stove and books on a shelf.
'5214': Several cows grazing in the field with a windmill and a house in
the background.
'5215': A park bench next to a tree in grassy field.
'5216': 'A man sits on his bed with a laptop in his bedroom as a ray of
sunlight streams through the window. '
'5217': The bird in the sky is soaring while singing a melody.
'5218': Several plaid and red umbrellas huddled under on a dreary day.
'5219': Two women sit next to each other on a park bench under an umbrella.
'5220': A mailbox near a tall bush in a field.
'5221': 'THERE IS SOME SORT OF VEGETABLES IN A BOWL '
'5222': A well decorated toilet seat with undecorated surroundings.
'5223': The rabbit is laying in the sun by the open door.
'5224': A boy and a little girl flying a kite on a grassy field.
'5225': A kitchen illuminated by a chandelier.
'5226': Two dogs are jumping over the brown couch.
'5227': Some street signs near a road with a truck.
'5228': A double decker bus drives down the street away from the curb.
'5229': A group of people standing on a field flying a black and white kite.
'5230': a bowl of different kinds of food on it
'5231': A pile of luggage in a room with two women nearby.
'5232': 'Two men with back packs and walking sticks '
'5233': 'A man is on his surfboard in the water. '
'5234': Frisbee in the air, a dog and a parrot squatting looking up at it,
and a man standing behind them watching, on the grass with a tree.
'5235': A little girl standing in the grass with two soccer balls in front
of her.
'5236': Two people are running across a field with a kite flying above.
'5237': Small girl in purple shirt holding a slice of pizza to her face.
'5238': A marble table topped with a sandwich, chili beans and a container
of fries.
'5239': A woman holding a camera is taking a picture.
'5240': Two adult bears play fight in the water.
'5241': A spotted black and brown dog is wearing a heavy metal collar.
'5242': Several male horse riders crossing a river to a rocky shore.
'5243': A bunch of people skiing at a lodge right in the mountains.
'5244': Chicago style deep dish pizza with tomato sauce and vegetarian toppings.
'5245': 'A desk with five computers in a row on it. '
'5246': A group of women sitting on a bench near a river.
'5247': A few sheep grazing in a field near trees.
'5248': An undecorated toilet seat with well decorated surroundings.
'5249': A herd of elephants standing on top of a burnt field.
'5250': A young redheaded woman in sunglasses and black tank top holds a
black leather purse and a white umbrella.
'5251': 'Someone feeding a goat a piece of carrot. '
'5252': Video games play a group of people at Best Buy.
'5253': This is an image of several zebra in a zoo.
'5254': A red pick up truck with a generator and a plow blade drives down
a snowy suburban road.
'5255': A tennis player hits a ball in front of a high audience.
'5256': three different donuts one is pink one is brown and one has white
sprinkles
'5257': Two men herding a pack of elephants across a field.
'5258': a man wearing skis is posing for the camera
'5259': Road sign on metal pole shown upside down next to white wall.
'5260': Zebras and giraffes out in the wild on a sunny day.
'5261': A blue utility truck with a tan interior.
'5262': A group of zebra standing in the tall grass.
'5263': A blue bicycle with a black basket on the front of it
'5264': The open engine is followed by a line of train cars.
'5265': A man is under a bench in front of a steple tower.
'5266': An old yellow plane and a hot air balloon are flying in the sky.
'5267': A kid on a bed with dozens of photos on the wall behind him.
'5268': A drooping pink and white flower without green leaves.
'5269': three people standing near one another with an umbrella
'5270': A stop sign vandalized with a "plant-based animals" sticker below
the word "stop."
'5271': A dog rests on a bed in a bedroom where one person is also sleeping.
'5272': 'A bus parked next to a white building with red trimming. '
'5273': A couple of cars are driving out of a lot.
'5274': 'a number of people sitting on benches '
'5275': A small black truck in a parking lot.
'5276': A picture of some people by the mountains.
'5277': There is a old bicycle that is next to a trolly on the street.
'5278': a person laying on the ground in a bath room near a toilet
'5279': A sculpture of a vase with a sunflower on a table.
'5280': A bathroom with a mirror and a toilet.
'5281': Fish eye angle view of small kitchen with fire extinguisher at far
end.
'5282': Three zebras and a gazelle walk along close to each other.
'5283': A woman getting ready to eat a pizza next to the table.
'5284': A cow standing outside of a white building with a blue entrance.
'5285': A bedroom in an old house that is being renovated with new paintings
on the walls.
'5286': A man holding a piece of cake on a plate stands by a girl in a green
shirt.
'5287': 'a man films a skate boarder doing a trick '
'5288': 'The shirtless men are riding horses through the lake. '
'5289': A man wearing glasses eating a hot dog.
'5290': A graffiti covered bicycle leaned against a red stucco building
with a red door.
'5291': Many pieces of luggage gathers together, all with tags attached.
'5292': A horse standing in the dirt near a tree and a fence.
'5293': A baseball player with a bat and an umpire are on a field.
'5294': A blue bench that is sitting on a sidewalk.
'5295': an image with a person holding an umbrella
'5296': This is a snowboard in the middle of a back flip.
'5297': three zebras grazing in a grassy area near shrubs
'5298': A train with people inside is about to go into a tunnel.
'5299': Old buses sit at the curb in front of a double-decker building.
'5300': Several different kinds of sushi displayed on a buffet line.
'5301': A white vase is beside a glass candle.
'5302': A large four sided clock leans against the corner of the building.
'5303': A corner of a living room with a cookie and coffee.
'5304': A man flying through the air with a parachute while riding a skateboard.
'5305': A group of people wait near a wedding procession of cars, one of
them holding two apples.
'5306': a stop site sits in front of a construction sign.
'5307': A lamp on a desk with a keyboard and mouse.
'5308': A bird perched on top of a tree branch.
'5309': A helicopter parked at an airport with support vehicles around it.
'5310': A woman walking next to a man riding a pink bike.
'5311': The girl is looking back at a wave in the ocean.
'5312': A teddy bear sitting on the ground next to many boxes.
'5313': Some frosted cakes with glimmering little decorations on top in
a display case for sale.
'5314': A giraffe stares into the camera while standing on green grass in
front of a blooming shade tree.
'5315': A man on a surfboard wiping out on a large wave.
'5316': A cute brown puppy is snuggled on a rumpled bed.
'5317': 'several jet planes flying in unison in a v formation '
'5318': A large metal chair with a brown teddy bear with button eyes in
it.
'5319': a cat in a bedroom laying on a striped covered bed.
'5320': City bus stopped, taking on passengers and luggage, at night.
'5321': Two dinosaur-shaped stuffed animals sit at a table with honey.
'5322': A large sculpture on a building at an intersection.
'5323': Frisbee in the air, a dog jumping and looking up at it, and a man
standing behind the dog watching it, on the grass with a tree.
'5324': A fork full of food sitting on a table next to a bowl that rests
on top of a circular disk.
'5325': A group of zebra running next to each other.
'5326': Picture of a plate with a fried egg and a sandwich.
'5327': A row of surfboards sticking out of the sand sitting next to each
other.
'5328': A man posing in front of skis for the camera.
'5329': A young boy lying in a bed with a sippy cup.
'5330': A person standing next to a car on top of a road.
'5331': 'An old person is holding a tennis racket. '
'5332': A black and white photograph of a small stuffed sheep wearing a
shirt that reads "handle with care" and a stuffed teddy bear.
'5333': A view of a store that sells teddy bears. There is a huge display
in the window.
'5334': 'a man stands on a beach next to some water '
'5335': A baseball player bobble head next to two computer monitors on a
desk.
'5336': Street signs on the corner of Furnace St and Crapo St.
'5337': A collage displays colorful deserts, fresh vegetables, and flowers.
'5338': A man sitting in a chair across from a table topped with food.
'5339': Others throw a pitch while a baseball player watches from the dugout.
'5340': A large pizza on a white plate sitting on a blue table.
'5341': Aerial view of suitcases scattered on a sidewalk.
'5342': A man opening a fire hydrant spewing out clean water into a street.
'5343': A bird cleans itself next to a crystal clear body of water.
'5344': Two giraffes in a sanctuary standing far from the wall.
'5345': The giraffe is standing in the shade of the tree.
'5346': A woman in a white shirt is about to catch a yellow frisbee.
'5347': A herd of zebra walking across a sloping grass covered field.
'5348': A couple of traffic lights sitting on the side of a road.
'5349': Toilet with white splatter paint on a black seat in a restroom stall.
'5350': A reflection of a dog looking out a window and a mountain in a side
view mirror.
'5351': A person on a ski and snowboard who is performing a trick.
'5352': A dish of vegetables and noodles with sauce.
'5353': three yellow bananas sitting inside of a basket
'5354': A big brown bear asleep in a hammock with a pillow.
'5355': An elephant on a road passes a standing car.
'5356': A vase full of flowers is sitting on display.
'5357': A room with chairs and a large mirror.
'5358': A big brown cow walking down a sidewalk near homes.
'5359': A pizza covered in lots of greens next to a table.
'5360': 'a group of bananas are resting on a stand '
'5361': A burger patty with vegetables piled up on it.
'5362': A cat is laying on a bed in front of a book shelf and a lamp.
'5363': A tower of a gray and white building has a weather vane and two
clocks.
'5364': A police man on a motorcycle is moving in front of a bush.
'5365': A girl is offstage singing while the guest on the bike enjoys himself.
'5366': Three people standing in front of a lake.
'5367': A baby deer and a large deer are running around in the woods.
'5368': Two brown bears in water open their mouths to each other
'5369': A person riding a snowmobile on a snowy slope.
'5370': A yellow tennis racket has a blue tennis ball on it.
'5371': 'Two bears are perched on trees out in the fog. '
'5372': A very small cute kid brushing his teeth.
'5373': 'A group of people looking at some kind of show or exhibit '
'5374': A woman and a child are cooking on a large black stove.
'5375': An outdoor area with a large bear and two smaller bears facing the
wooded tree area.
'5376': Two striped giraffes standing outside near a building.
'5377': there is a black microwave that is on top of a wooden table
'5378': A small toy sits on a plate with sandwiches and crusts.
'5379': Three skiers pose in the snow in front of barren trees and enjoy
hot cocoa.
'5380': Three people standing next to a large elephant and a monkey.
'5381': A man walking beside a ramp.
'5382': A barefooted young boy is flying a kite in a park.
'5383': A cat sitting in front of a monitor that is displaying an animated
picture of another cat.
'5384': a garbage bag in a white lighted bathroom
'5385': A baseball player grabbing a bat, in a game.
'5386': Several vehicles, a horse drawn cart, and a bicycle pull up outside
of a building.
'5387': A red stop sign without paper is standing there.
'5388': A young woman poses comically with a piece of pizza in her mouth.
'5389': A person is eating a pastry next to a gigantic chair.
'5390': A man in a wet suit stands on a surfboard and rows with a paddle.
'5391': A man surfing in the ocean with a sail boat behind him.
'5392': A slanted picture of a woman waiting to cross the street with a
bus passing by.
'5393': A soccer game where a girl in white and a boy in green are dribbling
ahead of the girl in blue.
'5394': A red and black boat and a sailboat are floating on top of water.
'5395': The desk has one monitor and two laptops on it.
'5396': A slice of pizza with a dollop of sauce on top.
'5397': An outdoor area with two large bears and a smaller bear facing the
wooded tree area.
'5398': 'A parasailer in the distance with two surfers in the foreground. '
'5399': 'A actress standing near an elephant on a sunny day. '
'5400': A person walking in a square carrying a rainbow colored umbrella.
'5401': A bathroom has yellow walls with red accents.
'5402': The bathroom door is closed with the light on.
'5403': A small bird is flying over a wooden bench.
'5404': A pen and several personal hair care items sit side by side on a
blanketed surface.
'5405': Women, children, and balloons are gathered around a blue cake.
'5406': A collection of various food pictures mostly of sushi rolls and
desert type items.
'5407': Various size white televisions on display in dark room.
'5408': The large group of children are outside playing with a soccer ball
and posing for a photo.
'5409': A little league team wears orange shirts and striped black caps.
'5410': A woman with a slice of pizza in her mouth next to another woman
and a book.
'5411': A boy in a blue baseball uniform running to tag out a boy in a red
uniform.
'5412': A blue shelf holds different sized silver vases.
'5413': Two tennis players on the court and waiting to play next to a swimming
pool.
'5414': A woman taking a picture up at the sky with her phone.
'5415': A piece of dutch chocolate cake with a spoon and a fork on a plate.
'5416': A very old red truck that is driving on some grass.
'5417': A room with a laptop screen in the background and a tv screen in
the foreground.
'5418': A man holding a microphone in one hand while he holds a sticker-covered
skateboard in the other.
'5419': A man with a parachute on ski's that is in the air.
'5420': 'A large chapel facing towards the alter with pews on either side
and beautiful glass and marble adornments. '
'5421': A woman holding a blue book in her hand while sitting on a bed.
'5422': A Zebra is resting its head on the back of another Zebra.
'5423': A young girl and a parrot are making a plate of food.
'5424': A plate full of noodles and broccoli, across from a knife and fork.
'5425': A close up of a stop sign with two hand written notes taped to it.
'5426': Children are playing near a beach at sunset.
'5427': Two cows in a meadow with a historic structure in the background.
'5428': Two striped-and-spotted zebras are battling each other on hind legs.
'5429': A pizza with tomatoes on it sitting on a table in a restaurant.
'5430': A refrigerator and a sink standing in front of some cabinets.
'5431': The opened laptop is sitting on the table along with a notepad and
other technological tools.
'5432': An old woman sitting on a bench next to a wooden fence.
'5433': A huge, swirling whirlpool with lots of spray is carrying a kneeling
wet-suited surfer to shore.
'5434': a surfing instructor teaches students with surfboards on a beach
in front of large hotel buildings.
'5435': The picture of the couple in a velvety bed is displayed in the large
window.
'5436': A lunch box with a sandwich, carrots, salad and a muffin.
'5437': The three teddy bears sit with their arms around each other.
'5438': A fish eye view of a bicycle rounding a curve on a city street.
'5439': A sign with the word pub sits on a wall and underneath it on a table
is a blender and three bottles of variety of alcohol and some flavoring.
'5440': a vending machine that has some food in it
'5441': A steel paneled kitchen with dining table and tiled floor.
'5442': A casually dressed man poses for the camera.
'5443': A bathroom has a circular sink with red tiles
'5444': 'A couple stands next to a wedding cake.
'
'5445': The people have surfboards and are on the beach.
'5446': A field with various wildlife and a wagon, with trees in the background.
'5447': A man has stick, which is holding some bread, between his fingers.
'5448': A tall building with four double decker buses driving along a parking
lot.
'5449': A clock suspended on the outside of a brown stone building.
'5450': A white room with a large window and a wooden dining table and white
chairs.
'5451': A man hitting a tennis ball with a tennis racket.
'5452': A woman plays tennis in front of a large audience.
'5453': A horse pulling a trolley carriage with a child and a man on it.
'5454': Some red toothpaste applied to a blue toothbrush.
'5455': A man holding a tennis racquet on a tennis court.
'5456': A room without a fire extinguisher, mugs hanging from a shelf and
several lights.
'5457': A couple of women in ties are outside.
'5458': A man and a child holding surfboards are walking on a beach next
to the ocean.
'5459': A wooden horse that has a ribbon around the neck.
'5460': Three wild sheep on top of the dried pasture.
'5461': Large baked pizza served on stand at marble table with beverages.
'5462': Large horse standing behind a small group of horses eating.
'5463': A child with various yard decorations some of which look like fish.
'5464': Several plaid and red umbrellas opened on a dreary day.
'5465': A little boy drinking orange juice from a bottle while laying in
bed.
'5466': A cat is on top of a car in the dark.
'5467': pizza with olives on black plate setting on table
'5468': A painting of a table with fruit next to it.
'5469': A hot air balloon and a plane are flying in the sky with trails
of white smoke behind them.
'5470': A small tiled bethroom stall with a black toilet seat.
'5471': A wooden vase of flowers sit on a small table near magazines.
'5472': A man in black shirt and blue shorts playing tennis.
'5473': A baby in plaid shirt eating a frosted cake.
'5474': A baby holding a cupcake looking at a spoon and candle.
'5475': A white bread sandwich on plate filled with ham and lettuce
'5476': A large clock on the side of a building above cars on the street.
'5477': White bathroom with two blue towels hanging by the shower.
'5478': A woman who is cleaning in the kitchen.
'5479': A person skiing in an enclosed area of snow.
'5480': A picture of a person eating some food.
'5481': A lush green valley with a waterfall surrounded by tall mountains.
'5482': This is an image of two girls with goats
'5483': Male children and young men in a large group picture.
'5484': There is one vase made of clay on a table.
'5485': 'a big plate with some potatoes and meat on it '
'5486': Two athletes are competing near a tree on a playing field.
'5487': a group of sheep on a big grassy field full of sheep
'5488': A young girl putting down a controller after playing a video game.
'5489': A man in white shirt and black shorts playing tennis.
'5490': A woman standing behind a fence looking at an elephant.
'5491': A young girl wearing a formal dress, and young man in a tie.
'5492': A red stop sign sitting on the floor next to a wall.
'5493': There is an orange street sign with a bicycle parked next to it
and a white sign underneath.
'5494': A man at home posing with a cake
'5495': A Korea Way sign under a West 32nd road sign.
'5496': Birds chirping in a park enclosure.
'5497': A couple of giraffe standing next to each other.
'5498': A big boy sitting down with his blanket and a toy.
'5499': Girl holding onto Dad on the back of a bicycle in traffic.
'5500': A brick building with a tall clock tower beside it.
'5501': Several refrigerators are lined up by a wall.
'5502': A picture of double sinks and a shower in a bathroom.
'5503': A man holding a pink umbrella standing on his tip toes.
'5504': The bride and groom stand behind a square, simple wedding cake.
'5505': Man on steps with tray of hot dogs on grilled buns.
'5506': Two plates both have food next to a bottle of wine and a vase of
flowers.
'5507': A man and a child take a picture of themselves eating food.
'5508': A lion standing in the middle of a rocky environment.
'5509': A small yellow and orange bird is perched on a table with banana
peels in it.
'5510': 'Four smaller dogs are running away from the women on the bench. '
'5511': A woman with white makeup is in a salon.
'5512': A large long train on a steel track next to a tower.
'5513': A man throwing a ball while frowning and on a field.
'5514': Two giraffes stand far from each other near rocks and a building.
'5515': An artistic team is posing in a park.
'5516': A girl takes a bite of her vegetable pizza.
'5517': A large pizza on a blue plate sitting on a white table.
'5518': The encompassing of an outside town and a beach in the picture.
'5519': 'A baby deer and a large deer are standing in the woods. '
'5520': An upscale living area containing white and glass furniture with
brown accents.
'5521': 'A toddler is getting messy while eating his cake. '
'5522': A beach with two boats and a tractor.
'5523': A hot dog in a bun topped with mustard and a pickle slice.
'5524': A napping polar bear in front of a camera.
'5525': A person holding a smart device in their left hand and a water bottle
in their right hand.
'5526': A postcard of a city is on a pole and next to it is a yellow taxi.
'5527': A man holding a wild animal in his arms.
'5528': The salad and dinner on the plate are ready to eat.
'5529': A room that has two televisions in it.
'5530': The women are playing a video game together.
'5531': A train and a bus are shown on the inside of a station.
'5532': A large metal chair with a brown teddy bear and a pillow in it.
'5533': A bunch of elephants standing next to a large tree.
'5534': A man riding a skateboard up the side of a steel ramp.
'5535': A person sitting next to a laptop in a bright room.
'5536': A chipped old standing clock surrounded by tall grass.
'5537': A brown and black dog laying on top of a bag of luggage.
'5538': Several rows of Crush soda in bottles in a refrigerator
'5539': A man is cutting into a cake as someone hugs him.
'5540': A zebra and two elephants are on a grassy field.
'5541': A lady is standing in pastel colored bathroom in front of the shower
and there are christmas lights hanging up outside of the doorway.
'5542': Four dolls are lined up in a row on a shelf of books.
'5543': two hot dogs in buns sitting on a white plate
'5544': A photo of a blue and green shoe on a bright pink background.
'5545': A flock of sheep walking along a rocky hillside grazing.
'5546': A dog is wearing a helmet and sunglasses and sitting by a motor
bike.
'5547': A giraffe standing next to a very large flowering tree.
'5548': A rack with some doughnuts in a glass case.
'5549': A boy not wearing yellow is holding a pizza in a box.
'5550': The restored old time car is parked near a boat.
'5551': A parking meter is on a sidewalk next to some dead bushes.
'5552': A man with dark hair, a shirt and a tie posing for a picture.
'5553': Several planes are near a person standing in a panoramic shot.
'5554': A little girl in a blue apron and wizard hat and a girl in a red
apron and hat.
'5555': A little girl holding a game controller and a teddy bear in a pink
shirt.
'5556': An abandoned refrigerator next to a building with a window.
'5557': A man takes a picture of himself eating food.
'5558': A cat looks at a person holding a bottle.
'5559': A box of six pastries containing two chocolate doughnuts, one strawberry,
one glaze, and two glazed crullers.
'5560': People fly kites in a large park in the middle of a city.
'5561': A white chair and a painting, books and shelves, and a TV on in
this room.
'5562': Two girls standing in the grass with a little soccer ball in front
of them.
'5563': 'a lady dressed in khakis standing in a bathroom next to the sink. '
'5564': A box full of matching, ridged donuts with glaze.
'5565': A woman hold a brown horse while a woman watches.
'5566': A plane flying in the sky with a trail of black smoke behind it.
'5567': A grey and white cat lays in a sink.
'5568': A woman that is standing on a tennis court with a racquet.
'5569': A view of a store that sells huge bears. There is a teddy display
in the window.
'5570': A man glares as a dog and other people behind him look on.
'5571': This guy is ignoring his cell phone while brushing his teeth.
'5572': An adorned with graffiti double decker bus sits parked on a curb.
'5573': Several museum displays of football helmets, baseball uniforms,
and bats.
'5574': A man is on a kite board with snow.
'5575': A laptop computer sitting on a desk next to a smart phone.
'5576': A train traveling down tracks next to lights.
'5577': A large salad bowl with a fork on the side on a flowered table..
'5578': An indoor farm area with cows in motorized individual stations sitting
and standing on hay.
'5579': A very sharp dressed man with a black top hat and a poodle.
'5580': Two cats are outside and perched on someone's sneakers.
'5581': A red stop sign sitting under a couple of street signs.
'5582': A solitary zebra stands in front of a group of trees.
'5583': A woman taking a picture on a sunny day by the ocean.
'5584': A white street sign behind a green large tree.
'5585': Two cell phones of differing quality are set side by side on a table.
'5586': Two men wearing ties cross the street in the daytime.
'5587': a white polar bear is laying down in its pen
'5588': A black Dodge truck is parked near another Dodge.
'5589': A man and a woman are in a kitchen with a fruit basket.
'5590': A woman holds a carrot in her right hand with a beverage in the
other.
'5591': A dog is chasing a soccer ball on a field.
'5592': A bus is stopped on a bright road.
'5593': A candelabra on a dining table.
'5594': A large jetliner flying over tall green trees and a dry grass field.
'5595': Person standing near the water with a green disc in hand.
'5596': A white horse standing on top of a dirt field next to a tree.
'5597': a fruit stand on the side of a sidewalk.
'5598': A small lemur stands in the grass near a road.
'5599': A brown teddy bear lying under an odd looking chair.
'5600': 'A man on a tennis court holding a racket. '
'5601': A cat sitting on a blanket on top of a pillow.
'5602': This video game has an Xbox console and instructions.
'5603': A large open area of land that has several zebra and giraffes of
different sizes and warthogs near them.
'5604': Everyone in the group is using electronic devices.
'5605': A herd of cows laying on dry grass.
'5606': A group of men on a field playing baseball.
'5607': A lady and a boy wearing red playing tennis on a blue and green
court.
'5608': An adorable elephant running through a grass covered forest.
'5609': The garage is littered with garbage beside the floor.
'5610': A blue plate empty of marshmallows, chocolate chips and banana.
'5611': A British flag painted fire hydrant with chains hanging at its side.
'5612': A person on the sidelines of a sporting event is watching people
go rapidly down a chute-type course.
'5613': A bear and a fox extend their long tongues while yawning.
'5614': A man and two women sitting on a tan ledge.
'5615': A group of zebras roam around a group of trees.
'5616': Two pieces of hard luggage are missing.
'5617': A cat is standing up to a white toilet and a sink.
'5618': A motorcycle and an old car in front of an old airplane.
'5619': A man and woman posing for a photo with pizza on the table they
are sitting at.
'5620': Motorcyclists are riding down the street with each other, passing
by snack trucks.
'5621': A man is cooking while wearing a jacket and scarf
'5622': A cutting board with pizza and a glass of wine
'5623': Two giraffes grazing in an open area with green bushes.
'5624': A herd of sheep are grazing in a green field.
'5625': 'Red flowers sitting in a vase with a red wall behind them. '
'5626': A building with a clock and a fountain that is in front of a building.
'5627': A man throwing a baseball on a baseball field.
'5628': A view of a room with a decorated Christmas tree and a fireplace.
'5629': A girl stands on an airport tarmac between orange cones in front
of an airplane being boarded.
'5630': Two men getting food at an inside restaurant.
'5631': A group of zebras are running across a field near some trees.
'5632': Person wearing a black Reel Big Fish tie.
'5633': An older Dodge pickup sits parked next to another older pickup.
'5634': A white toilet sitting next to a bathroom sink.
'5635': There is a stop sign on top of a street sign near a tree.
'5636': A woman is staring at something in her hand.
'5637': 'A man sitting by a table with food in bowls and pans '
'5638': A painting of a very large clock on the side of a building.
'5639': A girl getting ready to blow out birthday candles with a boy watching.
'5640': A toddler hitting the ball with a baseball bat in his backyard.
'5641': A dog rests on a bed in a bedroom where one person is also sitting.
'5642': A girl and a man playing with kites on the beach.
'5643': A white tent that has been blown up the wrong way.
'5644': A person with green skis skiing down a big hill.
'5645': A man in a suit stands near a table with computer equipment on it.
'5646': A person helping a child stand on a skateboard.
'5647': Plates that have a burger, french fries, and condiments on them.
'5648': A guy wearing a tie has his hands out of his pockets.
'5649': 'A young man playing with video game controllers.
'
'5650': A clock is shown with silver detailing around it.
'5651': Two teddy bears are under a table with honey.
'5652': A couple of men and one young man cooking pizza.
'5653': A young man takes a book and a picture of himself in the mirror.
'5654': A stuffed bunny is holding a tooth brush and a water bottle.
'5655': A man holding a baby while standing in front of a mirror.
'5656': 'A historical clock tower next to a modern glass window skyscraper. '
'5657': The stop sign is behind the fence instead of on the street.
'5658': A bright city street with a stop light and a big Christmas tree.
'5659': Two men holding laptops next to each other.
'5660': this lady is using controllers and those men are watching
'5661': 'A woman with large black tear drop earrings and a black dress looks
at her cell phone. '
'5662': A table with sandwiches, chili, french fries, and a drink.
'5663': A close up of a traffic light with a sky background.
'5664': A male and female tennis player are preparing to serve the ball
on a tennis court.
'5665': A row of little white teddy bears lean against a row of movies on
a shelf.
'5666': A building top with a clock on it.
'5667': A table with food and a glass of red wine.
'5668': Several women gathered together delivering 6 pizzas in take out
boxes.
'5669': Two dogs resting and basking in the sun.
'5670': Two lions in a jungle area fighting in a dirt area.
'5671': A man holding a ball while standing next to a gate.
'5672': A security guard is standing near a gate and lots and lots of luggage
that is all grouped together in different clusters.
'5673': 'A slanted picture of a woman waiting to cross the street. '
'5674': Persons of different origin standing in a hall.
'5675': A large commercial airplane landing on the runway.
'5676': A gentleman running in the rain along a river.
'5677': A woman is flipping through a book on a bed.
'5678': The man is juggling the water balloon.
'5679': A man wearing glasses throwing away a glazed donut out of doors.
'5680': A yacht and a motor bike on the beach.
'5681': A couple is playing wii in the living room.
'5682': Plates of burgers with silverware next to ketchup and other condiments.
'5683': A wooden handle in a pot with soup or stew next to an empty bowl
and a fork.
'5684': A sidewalk scene with focus on a yellow bench.
'5685': A two layer pie sitting on top of a table.
'5686': Some flowers stuck on the side of the road.
'5687': A muscular man and a large herd of goats in a desert setting.
'5688': A road filled with cars leads to an oasis in the desert.
'5689': A woman flying through the air while riding a skateboard.
'5690': A baseball player preparing to throw a pitch during a game.
'5691': A dell inspiron laptop and a cactus are sitting on a desk.
'5692': Young man on skate board balancing on wooden barrier near sidewalk
with small park area near by.
'5693': A group of people that are standing up outside with umbrellas.
'5694': A man wearing a tie poses for a photo with a camera.
'5695': A woman making cigars in a factory with an embroidered pink towel
on her head.
'5696': A large zebra standing next to a river bank.
'5697': A row of little white teddy bears lean against a row of movies and
ink cartridges on a shelf.
'5698': A cobblestoned city sidewalk with people walking up and down.
'5699': A table with food and a glass of white wine.
'5700': A few cows grazing in a field near trees and flowers.
'5701': 'Brown and black dog sitting on the brown couch by itself. '
'5702': 'a reflection of a dog looking out a window in a side view mirror '
'5703': A black toilet with a white seat sitting in a small stall.
'5704': A girl holding a kite while standing on a sidewalk.
'5705': A man is sitting on an old wooden bench.
'5706': A wet window blurs the image of an apartment building beyond.
'5707': A cat sitting on the velvety back of a sofa looking out a window.
'5708': A beige outdoor umbrella is blown right side up.
'5709': A street sign showing the intersection with Broadway, 6th Avenue
and Charlton St.
'5710': Three giraffe's leaning over to nibble on some leaves.
'5711': A half eaten slice of pizza is on a plate with a knife and fork.
'5712': Two airplanes and a hot air balloon are having a close call in the
sky.
'5713': The wave is riding the surfer sideways along the beach.
'5714': Woman with modern dress sitting in blue chair next to vase in empty
room.
'5715': A man and a child are sitting by a table with food in bowls and
pans.
'5716': Many cows are being housed in milking stations.
'5717': A commercial airplane above a dirt trail and crowd of people.
'5718': A sandwich with vegetables and cheese resting on a board.
'5719': A dry window shows a clear image of an apartment building beyond.
'5720': Three women that are standing in front of a glass table.
'5721': Woman with boxed food near crowd of people.
'5722': A passenger train rides on the rails, with another set of rails
nearby.
'5723': A reflection of a dog sleeping in a window in a side view mirror.
'5724': A group of baseball players far from each other on top of a field.
'5725': A woman and a child are getting ready to eat a pizza on the table.
'5726': A Pit bull playing with a soccer ball and a water sprinkler in the
grass.
'5727': The painting is of a vase of flowers on a table.
'5728': A pizza covered in lots of greens on top of a round table.
'5729': A bus traveling down a curvy road behind a black car.
'5730': 'a couple of women stand in a video game booth '
'5731': A couple dozen of glazed donuts and bagels are on a wire rack.
'5732': A cat eating out of a glass on top of a table.
'5733': A cougar in the trees with snow falling.
'5734': Two slices of pizza are sitting on a paper plate.
'5735': A black laptop next to a desk with a printer.
'5736': a close up of sheep on hay ground indoors
'5737': A highway with a green rest stop and a yellow traffic sign.
'5738': A young boy making a plate of food.
'5739': A train driving over a large bridge on a green hillside.
'5740': The metal park benches are painted dark purple.
'5741': There is a red truck and a bicycle on the street.
'5742': A large white airplane flies in the gray sky.
'5743': Horse with blinders on walking through wooded area
'5744': Several cows grazing in the field with a house in the background.
'5745': Green plants and climbing vines in a fenced garden plot.
'5746': A man is cutting into a cake as a dog hugs him and someone watches.
'5747': 'A lower shot of someone riding their skateboard. '
'5748': Two young girls in uniforms standing far apart.
'5749': Two giraffes and an ostrich at a zoo enclosure habitat.
'5750': 'a bed surrounded with plastic for walls and ceiling '
'5751': Two zebras grazing on an open area with green bushes.
'5752': A man looking in the refrigerator with a cat also looking inside,
and there's a carton of eggs on the shelf.
'5753': A bird sitting on top of a metallic park bench.
'5754': A black airplane flying in the sky above two bridges.
'5755': A fork, spoon, knife, and cup surround a plate of picnic food.
'5756': Garbage and police trucks and scooters are on a city street.
'5757': An older man is skiing down a snowy mountain.
'5758': Several cows lying down in a field of grass
'5759': A man wearing a top hat and a stripped red tie.
'5760': Two cats sitting on top of a pair of bright yellow shoes.
'5761': A luggage rack that has various pieces of luggage, a backpack, and
containers on it.
'5762': A woman has a red water bottle up to her mouth.
'5763': A helicopter flying over a freeway next to other traffic.
'5764': Cooked broccoli and carrots sitting on a plate with salmon.
'5765': TWO GIRAFFES STANDING IN THE SHADE OF A TREE.
'5766': A statue is beside a bench and a woman sits on a cement block.
'5767': A man on a surfboard surfing a large wave.
'5768': A picture of an animal is on a crooked pole and next to it is a
yellow taxi.
'5769': A living room has some chairs, a ceiling fan, and a table lamp.
'5770': An old fashioned train riding on train tracks in a desolate area.
'5771': A clock that is standing on a table.
'5772': A bunch of colorful balloons and street signs are in front of a
big building.
'5773': Two cats laying down on a brown couch.
'5774': An extremely nasty bath sink in front of pipes and cable.
'5775': A train traveling down twisted tracks next to lights.
'5776': An office desk with one computer monitor and two laptops.
'5777': A hotel suite with a desk sofa and bed
'5778': A bedroom with a bed and dresser.
'5779': A patio umbrella and a potted plant are pointed inside out over
a picnic table.
'5780': The young man is holding a clear Frisbee.
'5781': A trio of teddy bears bundled up on a bed with a lamp next to them.
'5782': Someone holding skiies is in the snow.
'5783': A crowd of people standing in the middle of a street.
'5784': A pair of animals living in a habitat.
'5785': A pen and several blanketed hair care items sit side by side on
a personal surface.
'5786': A boy with a kite running in the grass.
'5787': The man is flying his helicopter in the sky.
'5788': People on the beach playing with a dolphin.
'5789': a tennis player who has just made a shot.
'5790': two brown dogs walking in the field with their mouth open
'5791': A row of plants growing in the ground by a building.
'5792': A painting adorns a bathroom mirror.
'5793': 'A living room decorated with a modern theme. '
'5794': A market stand with many different kinds of fruit and flowers.
'5795': People holding balloons gathered taking pictures with a cell phone.
'5796': The remains of a piece of white cake sits on a red plate.
'5797': Blurry photograph of a lamppost clock light on a street corner
'5798': A youth holds a soccer ball while another youth is behind him, looking
at the first youth.
'5799': A person on an electric skateboard does a flip in a parking lot.
'5800': The nomadic sheepherd walks behind a large group of livestock in
their desert habitat.
'5801': A flock of seagulls flying over the water with dolphins swimming
below.
'5802': A person holding a phone in each hand and wearing a headset in front
of a fireplace and a Christmas tree.
'5803': A man in a blue sweater holding two cellphones while wearing headphones.
'5804': Two horses running across patchy grass; one chasing the other.
'5805': A little girl and a dog are running with her kite in an open field.
'5806': A red yellow and blue airplane is flying above the runway.
'5807': A pancake on a white plate with a kale garnish.
'5808': A person is sitting with their dog and cat watching TV.
'5809': A giraffe stands under a tree in a misty grassy place.
'5810': Antique living room furniture on display, behind red velvet ropes.
'5811': Lights shine on a glass dining room table.
'5812': A small sheep is standing under a crooked wooden fence post.
'5813': A man running on a lush green field under a kite.
'5814': Hot air balloons and scenic boats daily travel the Thames in England.
'5815': A couple of people sitting on top of a metal bench.
'5816': Four bowls and coasters of different eatables are kept on the slab.
'5817': A person hugging another while cutting a cake and surrounded by
balloons.
'5818': An assortment of crackers, dip and veggies sitting on a white counter.
'5819': three strange looking birds walking on the grass
'5820': An older Dodge pickup drives past another older pickup.
'5821': The man is hitting the water balloon with a bat.
'5822': A wooden cabin with a tall clock tower beside it.
'5823': A show floor with a shiny blue scooter surrounded by bars.
'5824': A well-lit and well-decorated glass front door shows a glimpse of
a living room through the corridor.
'5825': A group of kids posing for a picture on a tennis court.
'5826': A fork rests on a plate next to a piece of cake.
'5827': A young kid and a robot with a baseball bat get ready for the pitch.
'5828': A left-handed boy is hitting a tennis ball on a tennis court.
'5829': A grey and colorful plane on a runway with trees in the background.
'5830': A glittery pen is sitting on top of a laptop.
'5831': A man in the kitchen standing with his dog.
'5832': A boat on the water with its lights on.
'5833': A dime sits in the middle of a group of stones.
'5834': A cat watches as its owner uses the laptop.
'5835': An old man playing tennis as seen from above.
'5836': 'A person performing on the stage and a man sitting on the bike '
'5837': A young man riding a skateboard next to a stone wall.
'5838': A herd of three horses and some goats are standing on top of a green
field.
'5839': A man is kissing a blindfolded woman on the top of the head.
'5840': A little boy sits on a bed with a chair next to it.
'5841': A black and brown large dog sits on an upholstered couch.
'5842': A man is spilling water from a red bottle.
'5843': A huge suitcase without any stickers on it.
'5844': A man, his arm across the woman next to him, stands in a blandly
colored kitchen area, in front of a black-rimmed window, far from a counter
with a microwave, plates, with and without food, and wine bottles.
'5845': The toilet is covered in sparkles with a red object behind it.
'5846': A kitchen filled with transparent appliances and a window.
'5847': A toothbrush is being pushed against the stuffed animal
'5848': there are three vases made of clay on a table
'5849': Traditional Indian comfort food arranged on a plate.
'5850': People are walking in a parking lot in front of some shops.
'5851': A man is landing on the ground after riding a bike through the air.
'5852': a gray white engine is pulling some green train cars.
'5853': A grey horse standing next to a woman in front of a house.
'5854': A small toy is sitting on a plate of pizza.
'5855': A person riding a motorcycle on a clear road.
'5856': The landing airplane comes in very close to the vehicle in the road.
'5857': A person is pushing a spatula near slices of bread on a stove.
'5858': Person putting down a video game remote while using a computer mouse
with other hand.
'5859': A wooden utility pole sports several street signs and a birdhouse.
'5860': Athletes performing tricks on a BMX bicycle and a skateboard.
'5861': An empty clean kitchen with cabinetry, stove and dishwasher.
'5862': A brightly decorated living room with a stylish feel and a fish
tank.
'5863': Women in fancy shoes serving cakes at a candle lit table.
'5864': A hand spraying water into a white toilet bowl.
'5865': An orange and yellow painted freight train and an airplane are passing
by.
'5866': Woman in red shirt getting ready to hit tennis ball.
'5867': Two football players reach for the ball at the same time.
'5868': A zebra is standing in an open field with rolling hills.
'5869': A sheep that is standing under an iron plank from a fence.
'5870': A crowd of people are running through a covered sidewalk.
'5871': A woman and a child are standing in a kitchen making food.
'5872': Military men are holding awards while standing next to a man in
a suit.
'5873': Tourists with cameras, standing around behind a fence, watching
elephants.
'5874': One woman dropping a cake with candles and another woman in the
background.
'5875': A girl without a kite running in the grass.
'5876': 'an old photo of a little girl sitting on her dads lap '
'5877': A wall with several different clocks on it, in both traditional
and modern styles, and a painting hanging above it.
'5878': 'A cat laying down in a bathroom sink. '
'5879': 'A BLACK CAT SITTING INSIDE OF A SINK IN THE BATHROOM '
'5880': A giraffe facing the camera as its photo is taken.
'5881': A flat bus with a white tire sitting next to a bench.
'5882': A close up of a plate of food on a carpeted floor with a pillow
next to it.
'5883': A white plate served on a multi colored table cloth
'5884': A giraffe is alone in a wooded enclosure.
'5885': A cute cat laying down on top of a sink.
'5886': A grey and white dog sitting in the passenger side of a motorcycle.
'5887': Three teenage girls hover under an umbrella while they talk and
laugh.
'5888': A close up food in plastic containers with a metal spoon.
'5889': A large white fireplace with gold towels on the front.
'5890': A pizza sitting on top of a pizza box covered in cheese.
'5891': There are two stuffed animals on a plastic bench.
'5892': A picture of a restaurant interior is taken through a fish-eye lens.
'5893': People outside at table eating fruit and cake on plates.
'5894': A bleary-eyed young man holding a microphone and a skate board.
'5895': A pretty red white and blue parking meter by some shrubs.
'5896': A woman is on her surfboard in the water.
'5897': A young man wearing a suit and belt.
'5898': A woman sitting at a table with two pizzas.
'5899': a white horse that is standing next to a fence
'5900': 'Pedestrians crossing a street between buses and cars. '
'5901': A drawing of a tattooed young woman with many facial piercings.
'5902': Three zebras walk along close to each other.
'5903': Four bananas in a bunch with brown dots
'5904': A brown and black cat laying on a chair next to a laptop.
'5905': Two zebras and an elephant are on a grassy field.
'5906': A man holding a small white dog while wearing a black hat and a
scarf.
'5907': Two sets of hands are each holding a glass while another hand in
the background is holding a cell phone.
'5908': The waffle has banana slices and a strawberry in the middle.
'5909': five men riding their motor cycles on the street
'5910': A grey horse leads an attractive young woman through a paddock.
'5911': The man without the black sweatshirt carries a wooly sheep.
'5912': Three zebras standing in an oasis in the middle of a sandy desert
area.
'5913': 'a man pets a horse attached to other horses '
'5914': An airplane is letting off white smoke against a backdrop of clouds
in the sky.
'5915': A smiling man sitting by a very nice looking flower arrangement.
'5916': A large mural on a building at an intersection.
'5917': An old man reading a newspaper on a park bench.
'5918': two cellphones are sitting side by side on the table.
'5919': A ski resort with a bunch of people skiing down hill and going up
hill.
'5920': A smiling man holding up a very big pizza.
'5921': An antilope is eating grass in between two zebra.
'5922': Luggage is arranged in groups on a cracked concrete platform.
'5923': An assortment of rags hang on a metal rack.
'5924': A pair of birds crossing a river towards a grassy area.
'5925': 'two people stand in front of a motorcycle '
'5926': A group of people standing around holding Nintendo Wii controllers.
'5927': A fallen fire hydrant is sitting in the woods near red leaves.
'5928': Pink flamingos and white birds are gathered around a water puddle.
'5929': A man in a neon green shirt and black pants holding a yellow umbrella.
'5930': A boy and two little girls are dressed in uniform preparing for
the day.
'5931': Someone is eating a vegetable stir fry for dinner.
'5932': A brick structure with a clock tower in the background.
'5933': 'a huge room with desks and places to sit
'
'5934': A tall vase with red and white tulips in water.
'5935': 'A display of different pizzas in a restaurant. '
'5936': Two people riding a motorcycle to the beach.
'5937': A view of a fire place with a light on it.
'5938': A man and three women are standing in front of a table.
'5939': A woman sitting on a bench in a wood.
'5940': Two women and a child are playing a Wii game at a banquet hall.
'5941': A barefoot woman sitting in a double cushioned chair relaxing.
'5942': A dog is chasing a ball in the grass.
'5943': No one is in the room but there are chairs.
'5944': Two zebras fighting in an open area with thorny green bushes.
'5945': A male tennis player moves across the court and prepares to hit
the ball.
'5946': A view of a bathroom without the shower curtain open.
'5947': A roasting pan full with apples, carrots, onions, and meat.
'5948': 'A hotel suite with balcony overlooking the scenery '
'5949': A room filled with furniture and very large rugs.
'5950': A bowl of spaghetti and mushrooms is on the table.
'5951': A green frisbee sitting on top of a lush blue field.
'5952': A small carry-on bag, strapped to the handle of a larger suitcase
from the same set of luggage.
'5953': A girl running while holding onto a kite string.
'5954': A stop sign vandalized with an "eating animals" sticker and an umbrella
below the word "stop."
'5955': A large and small giraffe are looking at something while standing
next to a log.
'5956': A downhill man skiing down an older slope.
'5957': A white horse standing on top of a dirt field.
'5958': A large blue lit bridge spanning over a frozen lake.
'5959': A bride and groom near their wedding cake.
'5960': Surfers stand with surfboards on a beach for the early morning sunrise.
'5961': A boy standing besides an elephant smiling.
'5962': Two adults wearing sweaters, shirts, and ties.
'5963': Three hand formed clay pots with dripping paint
'5964': A car in front of a train on a bridge.
'5965': A man poses for a picture with a camera against a brick wall.
'5966': A young man holding a microphone and a skate board.
'5967': A pair of tall black hats and a closed red umbrella in the corner.
'5968': A sheep that is standing under a cracked wooden plank from a fence.
'5969': A room hiding a very big fridge and a dining table.
'5970': A yellow stop sign with a green street sign posted above it.
'5971': A man and a woman take their pictures using the bathroom mirror.
'5972': A giraffe stands in the brush near trees.
'5973': Green cat with black eyes sitting in a bathroom sink.
'5974': A room that has a fire extinguisher in it.
'5975': A young boy sleeping on satin floral printed sheets.
'5976': A close up of a drink with a sandwich in the back.
'5977': Several sheep standing around in the grass and flowers.
'5978': A dog is sitting on an armchair next to a fridge.
'5979': A flock of sheep are grazing on a grassy slope.
'5980': A small child wearing a tie and holding a striped suitcase with
other people in the background.
'5981': A white plane flies in the cloudy sky.
'5982': 'A large slice of pizza on a plate '
'5983': A baseball player swings his bat while a ball floats beneath his
head towards the catcher and umpire.
'5984': A small cow is running around outside with straw on the floor of
its enclosure.
'5985': A solitary person riding skis across a snow covered slope.
'5986': People sit around a table covered in liquor bottles and candles.
'5987': a red lady with a pretty book smiling on a white bed.
'5988': Two plastic containers sitting on top of a wooden table.
'5989': Two zebras are running while a hippo looks at them and some oxen
are in the background.
'5990': A child standing outdoors in the yard playing with a kite
'5991': A man in blue jacket holding a black bear cub.
'5992': A man riding a green motorcycle with a side car.
'5993': A young boy dressed in blue holding a pizza in a box.
'5994': A pizza pie and a salad sit in dishes on a table.
'5995': 'Two zebras graze on grass inside of an enclosure. '
'5996': A little girl and a teddy bear are looking inside the refrigerator.
'5997': A plastic bento box filled with rice, vegetables and fresh fruit
'5998': A bathroom with a glass shower door, a toilet, a towel handle, and
a sink.
'5999': A man out of the kitchen standing with his dog.
'6000': A cat and a dog napping together under a blanket on the couch.
'6001': A woman looking down at an open laptop.
'6002': A gazelle in a grassy field with trees.
'6003': A man off skis is standing at the bottom of a slope.
'6004': A polar bear playing in the water with balls.
'6005': Someone is cooking vegetarian stir fry out of a skillet.
'6006': Rotating searchlights in front view and a plane on a wide runway
in the background.
'6007': A fire hydrant covered in the patriotic flag.
'6008': A picture of a bathroom with a photo of a city near the sink and
a fern plant above the toilet.
'6009': Two women are looking at many colorful, heart shaped cakes and tarts.
'6010': Three zebras look towards the camera in their habitat.
'6011': A living room without wooden floors and furniture.
'6012': A single cow in a field looking back at the camera.
'6013': A man is sleeping with his head on a pillow.
'6014': A group of women and a man are standing behind a table filled with
pizza.
'6015': A peacock is standing in tall grass.
'6016': A lady holding a cake with candles on it while a lady near her is
making gestures with her fingers and there are balloons around them.
'6017': A distant shot of a table with food, bowls and cups.
'6018': A white cat sitting on top of a bathroom sink.
'6019': A woman holding a stick standing next to a green hillside.
'6020': 'a statue of an elephant with a box on its back '
'6021': This is a picture of a handicap car space in a lot parked in.
'6022': Girl holding onto Dad on the back of a motorcycle in chaotic traffic.
'6023': A close up of sliced pickles placed in a sandwich.
'6024': 'Guy takes a picture of his dog in the backseat through his side
mirror. '
'6025': two zebras grazing while a hippo looks at them and some oxen in
the background
'6026': A little funny rabbit figure is sitting in the middle of half eaten
pizza.
'6027': A professionally dressed man poses for the camera.
'6028': A bird is way up in a tree.
'6029': A white bread sandwich beside a plate filled with ham and lettuce.
'6030': A toilet in a tiled stall with rainbow streaks around the room.
'6031': There are many vases on display outside the building and a fountain.
'6032': Two women sitting at a table with a beautiful pizza.
'6033': A close up of a clear vase with flowers.
'6034': A person on a bike and a skateboard are riding on the street.
'6035': A bathroom with one sink with a light on above it.
'6036': A pan of stir fried vegetables and chicken being cooked.
'6037': A girl is playing a Wii videogame while enjoying a pumpkin pie at
Christmas time.
'6038': A zebra standing in a rocky field by a woods.
'6039': A lady is preparing pancakes in a charming white kitchen with a
mixing bowl.
'6040': A couple of cows and some birds flying in the sky.
'6041': A baby holds a toothbrush in its hand.
'6042': A woman in a yellow hat and blue jacket is holding a black bear
cub.
'6043': A car is traveling on the highway alone.
'6044': A herd of sheep are next to the road.
'6045': A bathroom with brown tile and a bare pantry.
'6046': A rowboat with paddles and no passengers is in the water.
'6047': A display of vintage animal toys and model ships on the floor.
'6048': A train passing through desolate areas on a train track.
'6049': Several cows and a horse are sleeping in the hay.
'6050': A line of matte motorcycles parked in front of a bar.
'6051': A beige outdoor beach ball is blown upside down.
'6052': A baby brown bear standing on top of a rock near a waterfall.
'6053': 'a bride and groom couple cuts the wedding cake '
'6054': A man is putting down items for sale in front of a store window.
'6055': a young woman with a slice of pizza in her mouth
'6056': A woman sitting down next to a man, who are both falling asleep.
'6057': A silver flying airplane over a parked low van.
'6058': Two bowls of food with vegetables on top.
'6059': an image of a flower arrangement in the vase
'6060': A blue pot of spinach dip with a wooden ladle.
'6061': A man in a crowd listening to music on a cell phone.
'6062': there is a old bus that is next to a trolly on the street
'6063': A twin bed with a hamster and laptop on top of it.
'6064': A man standing by a table looking at a laptop and a phone.
'6065': An adult in front of a well stocked refrigerator.
'6066': A police car is stopped on a dark road.
'6067': A red bench on a flat floor has the Coca-Cola symbol on it.
'6068': Three workers stand opposite each other with their baked goods behind
them.
'6069': a guy inside a car taking a picture through the mirror in a remote
area
'6070': A man and a child sit on a bench underneath trees.
'6071': A train passing through wooded areas and a river on a train track.
'6072': The plane is flying high in the sky.
'6073': A urinal hanging on a wall in between a sink and two stalls.
'6074': Two birds flying over the road in the daytime.
'6075': An old car in front of an old boat.
'6076': A bird sitting behind the water with a bear on the other side.
'6077': People are skating down the sidewalk in a city.
'6078': A man and a woman holding a drink posing for a photo with pizza
on the table they are sitting at.
'6079': Homemade tacos and crackers are on the table.
'6080': A train adjacent to an overpass bridge with train tracks and fields
on both sides.
'6081': a herd of elephants walking down a path in some tall grass
'6082': A female tennis player with ball in front of her, racket drawn back.
'6083': The sushi meal is prepared and ready to be eaten.
'6084': A batter and coach, catcher, and umpire are present during a baseball
game.
'6085': A teddy bear and a stuffed fish set next to each other.
'6086': Traffic is stopped at a red stop light with a police car parked
nearby.
'6087': Two people are riding elephants beside some trees.
'6088': Potted plants on top of a carrier onto of a vehicle.
'6089': Person in blue peacoat and hat riding a horse.
'6090': The skier and a snowboarder take off down the steep hill.
'6091': A pair of people ride a small, horse drawn buggy near a large puddle
of water.
'6092': A teddy bear is placed on a plastic sculpture.
'6093': A woman in a blue dress poses on a weird chair with an umbrella.
'6094': A little girl is standing between several orange cones.
'6095': A young woman is dropping a slice of pizza from her mouth.
'6096': A plate on a wooden table topped with lots of food.
'6097': Three large horses eating hay while a small horse stands behind.
'6098': 'A car with a snowboard on it''s ski rack parked in a foggy parking
lot next to two cars with empty ski racks. '
'6099': A long chair is next to a green bench.
'6100': A small bus traveling through a city with yellow buildings.
'6101': 'a dirty fridge standing in the middle of a patio '
'6102': many people standing near a table with cake
'6103': A chair sitting in the middle of the room, in a colorful photo.
'6104': A large orbital vase sits next to a candle on a table.
'6105': 'some guys in green jackets standing around a fire hydrant '
'6106': Two men, a kid and a dog are playing Frisbee.
'6107': A cat sitting on a table next to plants and a dog outside of a sliding
glass door, looking in.
'6108': A hiker walks through the tall grass in the forest.
'6109': Several people sitting at a train station while a train arrives.
'6110': A man riding on the back of a brown horse.
'6111': A man sitting on the floor next to a plant tree taking a picture
of himself in a mirror.
'6112': There is a very beautiful gazelle that is standing in the shade.
'6113': A man that is standing in the dirt with a bat and a ball.
'6114': The bedroom is out of order and not ready for the guests to use.
'6115': A room with a Tv, potted plant, tables and chairs
'6116': Two zebras running through a cloud of dust.
'6117': Two people bump their cell phones together at a party
'6118': a white woman wearing black attire and shoes running on a tennis
court.
'6119': Motorcyclists are parked on the street with each other.
'6120': 'A woman feeding a little boy french fries at a restaurant. '
'6121': ' a man talking on a cell phone outside of a fast food place'
'6122': A stop sign with a vegetarian animals sticker on it.
'6123': A painting with roman numerals surrounded by a white faced clock.
'6124': A red stop sign that reads " Eating Animals " below it.
'6125': A man is reading with his head on a pillow.
'6126': A little funny rabbit figure is jumping off the half eaten pizza.
'6127': Two zebras lying down with the head of one resting on the back of
the other.
'6128': Many cows are being housed in corrals.
'6129': A woman holds a bat while a man watches.
'6130': Three men are snowboarding down a snow covered hill.
'6131': Two giraffes and a zebra in a dirt area next to fence.
'6132': A man in a red shirt and a white hat catches a red frisbee.
'6133': An orange train engine moves down the track with one train car in
front of it.
'6134': A woman with blonde hair and glasses plays a video game
'6135': Two big potted plants sitting behind a chained fence.
'6136': Goats are grazing in a wet pasture with birds while cows watch from
a distance.
'6137': A messy room with door and bed and desk.
'6138': A vintage photo of a boat parked far from a pier.
'6139': Two foxes sitting at a table looking at a jar of honey.
'6140': A collaboration of pictures of various musical instruments.
'6141': A small giraffe is lying in the grass near a road.
'6142': A flock of white birds stands in a parking lot puddle next to a
flower pot.
'6143': A series of paintings of two plates with different desserts and
another plate with a cup of coffee.
'6144': A girl and a boy are hitting a tennis ball on a tennis court.
'6145': A ca walking with its tail straight up .
'6146': A cat sitting on top of a banana tree.
'6147': A brown bear walking in its zoo enclosure
'6148': Men are standing on the street behind a barrier, using their cell
phones.
'6149': A brightly colored balloon is high in the clear sky.
'6150': A herd of giraffes walking down a path in some tall grass.
'6151': View of jet airliner taking off over a mountain peak and tree top.
'6152': a large group of people are gathered around the table
'6153': A red stop sign with a trilingual green street sign posted above
it.
'6154': A red truck with a white car sitting in its back.
'6155': A herd of animals grazing on a lush grass field.
'6156': A bunch of carrots sitting on a table.
'6157': Snow is flying in the air over a snowboarder.
'6158': A bird is eating from a brick of bird food on a pole.
'6159': A formation of airplanes flying through a blue sky.
'6160': 'A picture of a bathroom with a fern plant near the sink and a photo
of a city above the toilet. '
'6161': A pizza covered in lots of greens and apples on top of a table.
'6162': 'The meal is prepared and ready to be eaten. '
'6163': Man works on laptop as three others work on a project.
'6164': A couple with pieces of very nice looking luggage.
'6165': The bedroom door is open with the light on.
'6166': a man is playing with a green flying disk
'6167': The man in a red hat and a pair of sunglasses is listening on his
cell phone.
'6168': A woman holding a knife and fork over a giant pizza.
'6169': The bowl of soup contains a large amount of broccoli.
'6170': Two people on a blue and green tennis court.
'6171': A giant giraffe is next to the Aurora rents sign.
'6172': 'a woman holding onto a piece of pizza with her mouth '
'6173': A polar bear partially submerged in a body of water with a whale
swimming nearby.
'6174': A piece of bread with mustard and a hot dog in the middle is shown.
'6175': A person walking down a street approaching a teddy bear sign.
'6176': A small barge pulling a tub boat through the water.
'6177': a plate with a hot dog in a bun, macaroni and cheese and stuffing
on it
'6178': 'Skateboarder grinding his board on the side of a pavement course. '
'6179': A cat in a bedroom laying on a striped covered bed next to a lamp.
'6180': A man in mid air while riding an electric motor bike.
'6181': A man standing next to train tracks with bags of luggage.
'6182': Three zebra and four giraffe inside a fenced area.
'6183': A man is doing skateboard tricks on a ramp
'6184': A large building with a statue on the front of it.
'6185': Three sausages and a hamburger covered in various condiments are
side by side.
'6186': 'a bell tower with a clock built inside of it '
'6187': A cat laying on a bed in front of a book shelf.
'6188': A laptop, headphones, and three cellphones are on a yellow table.
'6189': Two people are riding bikes through the street traffic.
'6190': A bathroom with sinks, a brass counter and decorative shower stall.
'6191': A little girl puts her spoon and hand in a pasta dish.
'6192': A billboard glows in the night sky.
'6193': A couple of men sitting in front of a building.
'6194': A group of zebras and flamingos are in a grassy area next to trees.
'6195': A doll sitting on some kind of seat.
'6196': A couple of people riding a pair of skis and a snowboard down a
snow covered slope.
'6197': 'A brown cow and two black cows eating grass in a field. '
'6198': A man and woman sitting on a couch playing a video game.
'6199': A tennis player is taking a swing on a red court.
'6200': 'A boy is eating donut holes while sitting at a dinner table. '
'6201': A train driving over a small bridge on a green hillside.
'6202': There are a group of people and some dogs sitting in chairs using
electronics.
'6203': A uniformed baseball player being watched by people.
'6204': A group of baseball players and a soccer team are standing next
to each other on top of a field.
'6205': A tall monitor is near a keyboard and a mouse.
'6206': A cat is sitting on top of a black leather chair next to a lamp.
'6207': A potato chip and snack delivery van in a parking lot.
'6208': A blue bicycle sits on a sidewalk near a street.
'6209': A blanket covered reading chair in the corner of the living room.
'6210': 2 women, one holding a cake, the other holding up her index finger
and a balloon.
'6211': A large black truck and a moped are in a parking lot.
'6212': A couple of buckets in a black room.
'6213': A cat is standing up to an automatic white toilet.
'6214': A residential street has an orange no parking sign far from a sidewalk.
'6215': A picture of a couple that just got married lying in a bed.
'6216': There is some spinach, salmon, broccoli, and garlic on this plate.
'6217': A couple of scuffed buckets in a white room.
'6218': Two old girls in uniforms sitting closely together.
'6219': some green yellow black white and orange birds and some plants
'6220': A single person on a motor scooter riding on a street.
'6221': A two layer cake sitting on top of a table.
'6222': A man wearing a striped hat holding a dog wearing a hat.
'6223': A man removing a hat while standing in front of a bathroom mirror.
'6224': Two toy vehicles and a police box are set up in a street scene.
'6225': A bowl full of food sitting on a table next to a fork that rests
on top of a circular disk.
'6226': A plate with a banana that is cut up, a donut and a spoon on it.
'6227': A young man holding a bat running on a baseball field.
'6228': A kitchen with a table and four chairs.
'6229': A man in a defensive stance with a tennis racquet.
'6230': a cat is way up in a tree
'6231': A wood carved bear is sitting on a table.
'6232': A red toilet with armrests and many pipes and wires behind it.
'6233': A military jet landing on the runway.
'6234': A picture of a little statue in some dirt.
'6235': There is a fountain that is in the middle of the city.
'6236': A grey and black cat lays in a sink.
'6237': A vendor has lots of different vases for sale.
'6238': A flag and a clock tower on top of a building outside on a sunny
day.
'6239': A baby holding a kite and some poles in the middle of a grass field.
'6240': Two women sitting on ledge looking at a cellphone.
'6241': A small bird sitting on the back of a wooden bench with butterflies
fluttering around.
'6242': A man preparing food on a large old oven.
'6243': Scenic boats daily travel the Thames in England.
'6244': Robots standing near a table with open pizza boxes.
'6245': A large black and beige cat stands near a television.
'6246': A child and a man pet a horse attached to other horses.
'6247': A girl with a striped green shirt brushing her teeth with a blue
toothbrush.
'6248': An office desk with two computer monitors and one laptop.
'6249': a huge suitcase with a bunch of stickers on it
'6250': A skier and a snowman posing on a steep snowy hill.
'6251': An empty bedroom with blue walls and the lights on.
'6252': 'A couple of guys are sitting with their luggage bag as a lady walks
on. '
'6253': There is a laptop on top of two electronic devices.
'6254': A stop sign that is next to some papers.
'6255': A couple of sandwich halves on top of a white plate.
'6256': A man carries his surfboard near incoming waves.
'6257': There is a mom that is brushing her teeth.
'6258': Three birds huddled together in a damp open field.
'6259': There are two tiny dogs sleeping on the couch.
'6260': A sidewalk scene with focus on a red bench.
'6261': this bathroom has blue tiles in the shower and is painted pink.
'6262': A giraffe and a monkey reaching up to some tree branches.
'6263': A street sign reads "Bacchanalia" above a stop sign.
'6264': 'Flowers neatly arranged in a clear vase filled with water. '
'6265': a young kid with a baseball bat gets ready for the pitch
'6266': 'The train engine number 6309 is operated by BNSF. '
'6267': A man wearing glasses is holding a donut.
'6268': A man skiing along a rail on the snowy hill with snowmen in the
background.
'6269': A painting of a white vase holding yellow tulips.
'6270': A black dog sits in a white bathroom sink.
'6271': A soccer player kicking a soccer ball on top of a field.
'6272': A brand new motorcycle on display at a show.
'6273': A cat standing in front of a curved tv on a tv stand.
'6274': A teddy bear standing in front of toy wooden shapes.
'6275': Many small children are posing together in the tilted black and
white photo.
'6276': A man leading a brown horse in uniform next to tall green trees.
'6277': A plate of some food on a table.
'6278': A kitten with a hat on its head is on a bed with its arm stretched
out toward the camera.
'6279': A man and his camels are herding goats in the desert.
'6280': A large giraffe looks at a smaller giraffe looking over an electric
fence.
'6281': A boy and a girl wearing orange shirts are on some grass.
'6282': A woman wearing a blue t-shirt while looking at her cell phone and
sitting on a bench next to a bright pink wall.
'6283': A little boy making a mess with his ice cream.
'6284': Two women sitting at a table with a pizza.
'6285': a child blows out the candles on a birthday cake.
'6286': 'A porch with several wind catchers hung from hooks. '
'6287': A couple of people standing next to piles of fruit.
'6288': people on the beach playing with a brown cow
'6289': 'What appears to be a beach-side eatery has an outdoor area with
a metal railing and high stools, the whole of which rests on a tilted
walkway with a sign and a bench with a logo on it. '
'6290': An umbrella and glittery rain boots sitting on a rug in a corner.
'6291': A couple of cats sitting next to a black monitor sitting on top
of a table.
'6292': Five people are stopping their motorbikes on the road.
'6293': A brown teddy bear sitting at a table with colored pegs.
'6294': A woman talking on the phone while wearing sunglasses looks in the
distance.
'6295': Outdoor show with sheep and horses prominent on grass field.
'6296': A man that is standing up cutting a cake.
'6297': An ornate bear sitting on a blue chair.
'6298': A blender is sitting next to a printer.
'6299': Dead cat laying down in black and white leaves.
'6300': A vending machine for microwaved food with a microwave at the bottom.
'6301': People looking into the front window display of a bakery
'6302': A man walking down a bridge smoking a cigarette.
'6303': A black orange and yellow train beside its track and some trees.
'6304': A group of cars and a helicopter are next to a train.
'6305': The bathroom is painted a dark blue and has pink ceramic tile that
adorns the shower wall along with a maple color vanity and door.
'6306': A couple of people with some skis and hot chocolate in the snow.
'6307': A painting of a fire place with a light on it hangs on the wall.
'6308': A couple and a grandma are sitting together.
'6309': A city street sign leaning against a black pole near a high rise
building.
'6310': A white bus that has a 41 Crosstown sign on the front.
'6311': Display for bananas with a dollar money sign.
'6312': A long-haired man standing outside next to a car holding a racquet
with both hands.
'6313': A red stop sign sitting on the side of a bright road.
'6314': A man has jumped a ramp with his skateboard.
'6315': A baseball kid with a young bat gets ready for the pitch.
'6316': Some girls in colorful shirts standing by some flowers and pastries.
'6317': A close up of glazed donuts that are plain or with chocolate.
'6318': a guy standing in front of a few horses.
'6319': A man and a child on skis are going down a slope.
'6320': A teddy bear sitting in front of toy wooden shapes.
'6321': A woman making cigars in a factory without a pink towel on her head.
'6322': A small bird perched on a piece of wood.
'6323': A marble pen sitting on top of an electronic device.
'6324': A giraffe sticking his head in the sky next to a tree.
'6325': A group of zebra standing next to each other on a grass field.
'6326': Two cows stand outside in their corral, with mountains in the background.
'6327': A picture of a young boy sitting on top of a bed.
'6328': A woman standing in the rain with an umbrella with a flock of birds
behind her.
'6329': 'A picture of a lot of girls and boys in front of a building. '
'6330': A group of grandparents at a table with a cake.
'6331': A sandwich is sitting in a white plate on top of a wood table.
'6332': The cake is prepared and ready to be eaten.
'6333': A table with food, a flower vase, and a drink on it.
'6334': A group of cows in a fenced in area.
'6335': Giraffes raising their heads from drinking at a watering hole.
'6336': A bedroom with a bed, TV and chandelier.
'6337': The small bathroom has a toilet with a black seat and a towel rack.
'6338': Two people posing next to a giant suitcase in front of a building.
'6339': Woman surfing body wave using a small board.
'6340': A woman prepares a pizza while a man watches.
'6341': A group of people walking on top of a beach.
'6342': There are 3 female peacocks and a male peacock together walking
around.
'6343': Closeup of a white and yellow vase with a red circle at the bottom.
'6344': 'A picture of a white toilet in the rest room. '
'6345': A man with a top hat and a blue tie.
'6346': A bicycle sitting on a green field.
'6347': A dog looks out of the window as the car driver goes past a historic
town.
'6348': A small lunch box with various vegetables, a fork, and a spoon.
'6349': A large plastic chair with a brown teddy bear in it.
'6350': A truck is sitting in the middle of a deserted area.
'6351': People fill a park area under a sunny sky while kites pepper the
sky.
'6352': A man throwing a ball while a child is smiling on a field.
'6353': Person holding on to a video game remote while using a computer
mouse with other hand
'6354': A sheep standing in a lush grass field.
'6355': Two women playing a game with a Nintendo Wii controller.
'6356': A young girl eating a burger slice.
'6357': Person wearing a rainbow-colored Reel Big Fish tie.
'6358': A tall tower with a clock stands in front of a skyscraper.
'6359': A person bundled up while frying something on the stove indoors.
'6360': A desktop computer sitting on a desk next to a smart phone.
'6361': A cat sitting in front of a monitor displaying a picture of another
cat and a vase of flowers.
'6362': A black cat is sitting in a cracked bathroom sink.
'6363': 'A group of birds in a bunch of puddles. '
'6364': A sleeping zebra has its nose pressed to the ground.
'6365': An elephant standing on a wood next to a rock bridge.
'6366': 'a bike sits parked next to a street '
'6367': A vintage yellow refrigerator surrounded by wood cabinetry.
'6368': Two girls watch a goat that is in a pen.
'6369': A group of passengers are seen while walkers walk alongside the
train.
'6370': A group of men standing around a cracked sidewalk together.
'6371': A girl is sitting on a wall and looking down at her cell phone.
'6372': The two big bears are fighting in the water with one another.
'6373': A man in a neon snowsuit is skiing down the slope.
'6374': There are two electronic devices on top of the laptop.
'6375': A beach with a boat and two tractors.
'6376': A vase with various cacti in it on a display case.
'6377': A white and brown cat and a bird are sitting alone on a bench.
'6378': A young man riding a bicycle with red wheels.
'6379': 'Skiers wait to take a lift up a snowy hill. '
'6380': a man is swinging a baseball bat outside
'6381': Some people are seen eating several large pizzas.
'6382': A surfer on a small board riding a white wave.
'6383': A small wheeled airplane on an open runway.
'6384': Baseball memorabilia is displayed in glass stacked casings.
'6385': A grandma holds a toothbrush in her hand.
'6386': A young male standing next to a park bench typing on a laptop.
'6387': A black street sign in front of a green large tree.
'6388': A woman sitting on a wooden bench near a statue, checking her phone.
'6389': A man sits on the beach while someone else holds a kite.
'6390': A person hugging another while cutting a cake.
'6391': Two umpires are talking with a player on different teams.
'6392': A computer sitting on top of a table.
'6393': a herd of sheep standing on top of a hill
'6394': A woman standing next to another woman in a building.
'6395': A clear image of a microwave available to use in a store.
'6396': A bedroom with a bed, painting, TV and ceiling fan.
'6397': Several cats sitting near a tree and a bird on a fence post.
'6398': A picture of a man holding a suit, hat, and sunglasses.
'6399': Small brown and white cat sitting in front of the laptop.
'6400': there are many vases on the ground in the street
'6401': A beautiful woman sitting on a bench next to a bronze statue.
'6402': A man riding a motorcycle through the rain.
'6403': An eyecatching sign shaped like a golden elephant holding a billboard.
'6404': A green cat is sitting on a yellow blanket.
'6405': Young women washing motor cycles in the middle of a street.
'6406': A teddy bear is next to a shark toy.
'6407': Train with lights on, multiple track area, near over/under pass.
'6408': A Frito Lay delivery van parked outside in a parking lot.
'6409': A white car that has a 41 Crosstown sign on the front.
'6410': Black and yellow photograph of a tractor on beach next to boats.
'6411': A giraffe at a zoo eating some grass.
'6412': A wolf and three wild turkeys are on top of the dried pasture.
'6413': A smiling pair of skiers with a huge snow covered mountain in front
of them.
'6414': There is a bicycle that is parked on the tarp.
'6415': 'The pick up truck is plowing the snow. '
'6416': A boy wearing green is holding a pizza in a box.
'6417': 'The front of a restaurant with someone holding up food '
'6418': A woman with a book bag sits on a ledge with her cell phone and
an umbrella.
'6419': A TV in a bathroom mirror next to a toilet and sinks.
'6420': 'a woman sits on a motor bike with a cart extended '
'6421': A kitchen that features a bright tile wall and big mirrors.
'6422': A city street sign mounted on a yellow pole near a high rise building.
'6423': A man in a black jacket holding a zebra print umbrella.
'6424': A child playing with a glittery plastic bat and ball in a yard next
to a garage.
'6425': A large open area of land that has several zebra of different sizes
and warthogs near them.
'6426': A woman sitting on a wooden bench next to a flowerpot and a rock
wall.
'6427': A car is driving down the road near some road signs and a billboard.
'6428': A plate on a wooden table full of bread.
'6429': A close-up of a glass table with three boxes of pizza.
'6430': A skier posing on a steep bare hill.
'6431': A man is miming punching a giraffe statue.
'6432': A black and brown parrot wearing a chain around its neck.
'6433': A tall clock tower with bushes, a fountain, and trees in the foreground.
'6434': Everyone in the group is putting away their electronic devices.
'6435': A man gets air catching the Frisbee far from the water.
'6436': A backpack-wearing person on a skateboard on a street.
'6437': Three zebras grazing in a rocky area near shrubs.
'6438': Three skiers pose in the snow behind barren trees.
'6439': Four kayakers are trying to navigate a river as they paddle.
'6440': A pizza with Canadian bacon and pineapple in a fluted pan and a
cheese grater on the counter.
'6441': A bathroom with a black and white toilet, a tiled floor, and a mirror
on the wall.
'6442': 'A model in a blue and white dress sits for a photo. '
'6443': A train driving over a small bridge near a waterfall on a green
hillside.
'6444': a close up of a table with many plates of food
'6445': A street with two electric busses and people walking.
'6446': A bathroom is very drab with blue, yellow, and red.
'6447': Three people are skiing and snowboarding on the snowy mountain.
'6448': A skier in a squat position on skies and a snowboarder are skiing
and snowboarding downhill.
'6449': A little kid frantically jumping around on a bed holding a remote.
'6450': Two women getting food at an outside restaurant.
'6451': A woman wearing a blue coat holds a furry animal in her arms
'6452': Woman holding baby near man carrying cake at outdoor celebration.
'6453': A couple sitting on a bench with a puppy.
'6454': The outside view of a large decorated church.
'6455': A Halloween ornament is a donut with a squirrel on it.
'6456': 'two people standing on a field with a kite flying above '
'6457': Three sausages covered in various vegetables side by side.
'6458': A hotel room with a small television, a work desk, and an armchair.
'6459': An office view shows cubicles and overhead lights in the background,
and to the front, a colorful looking man with a beard, vest and serious
tie.
'6460': two different bears fight with each other behind a log
'6461': A number of people walking on a sidewalk and riding bicycles.
'6462': A picture of a cat staring at the ceiling and a lamp.
'6463': A close up of a crystal vase with flowers.
'6464': A kitten above a bed with its arm stretched out toward the camera.
'6465': A man working on his laptop in the bright light.
'6466': A little girl sharing a slice of pizza in a room.
'6467': An open-mouthed, leashed dog has its head outside of an unlocked
car door sunroof as a blurry park-like vista rushes by.
'6468': A man biting into a doughnut with a sly look.
'6469': A monkey staring at laptop screen as owner is online.
'6470': A grey and white dog sitting out of the passenger side of a car.
'6471': A marble tiled dining room with some plants are seen.
'6472': A giraffe walking in its zoo enclosure.
'6473': Three zebras laying down in a sandy desert area.
'6474': A giraffe out and about eating some grass.
'6475': A hot air balloon is rising into a cloudy sky.
'6476': There are two children lying on the floor, one is a baby.
'6477': A bathtub with a cabinet on legs in a bathroom.
'6478': A dog and a horse and a chicken stand together in a field.
'6479': A couple of elephants standing in the grass near a stream of water.
'6480': Two parking meters with the light of the sunset reflecting off one.
'6481': The people are all in a movie theater, some are sitting.
'6482': Water traffic along the Thames by Big Ben
'6483': 'some people talking to a referee on a tennis court '
'6484': A table filled with dishes of very tasty looking food.
'6485': A woman with a guitar is sitting on railroad tracks with a suitcase
beside her.
'6486': An angle view of city bus near a side walk.
'6487': 'a fire hydrant near a tall bush in a field '
'6488': A black cat with white paws is standing among some wooden boards
and a toy.
'6489': A person in a loose helmet is riding a skateboard.
'6490': A tennis player is hitting a ball on the court.
'6491': A blue and silver car next to a gas station sign and parked red
motorcycles.
'6492': Small plane inches above flat surface near water.
'6493': A white bus with bicycle rack parked on the side of a street.
'6494': A smiling pair of skiers with a huge bare mountain behind them.
'6495': Two teams are playing baseball with the umpire touching the catcher.
'6496': a man and woman standing side by side in a kitchen next to a window
'6497': A woman holding a stick while looking up.
'6498': A sign prohibiting skating on the sidewalk with black and red writing.
'6499': A fire hydrant in the middle of the street curbside
'6500': A herd of sheep and a cow are blocking the road.
'6501': A photo of a bright pink shoe on a blue and green background.
'6502': A dog and a cat peeking out from under some covers.
'6503': Those zebras may have lost their parents and they could be far away
from us.
'6504': A man riding a scooter with a boy on the back of it.
'6505': A bookshelf, computer desk, two monitors, and other equipment are
in the room.
'6506': An empty bus is driving on the side of a parked road.
'6507': A man looking out the window of a bus
'6508': An image of two cakes on the counter.
'6509': A corner of a kitchen with a big fridge and a microwave.
'6510': Two turkey and jelly sandwiches sliced in half.
'6511': A sandwich and some watermelon and grapes are sitting on top of
a tablecloth.
'6512': A person is near a row of luggage carts as one man pushes a cart.
'6513': A cat is laying on sofa and the dog is laying on the floor in front.
'6514': A kid on a bed with paintings and dozens of photos on the wall behind
him.
'6515': A man lighting a cigarette as he crosses a city street.
'6516': A couple dozen of powdered donuts on a wire rack.
'6517': A woman poses for a photo and plays a guitar as she sits on a chair
with an umbrella.
'6518': A dozen doughnuts sits in a doughnut box and two are chocolate,
three are glazed and one is a raised pink iced.
'6519': An older man is skiing up a snowy mountain.
'6520': Several middle eastern looking stickers decorate a black briefcase.
'6521': A brown crust of pie with strawberry filling and a scoop of ice
cream on top.
'6522': A man with glasses and wearing a tie poses for a profile picture.
'6523': There are many vases on display inside the building.
'6524': A bedroom with a bed and a flat screen TV next to a wooden dresser.
'6525': 'A girl puts a flower on the lapel of a boys coat. '
'6526': A disheveled man uses his computer on a park bench.
'6527': A yellow pen on top of an open lap top computer.
'6528': A group of people are leaving a red reception area.
'6529': Two men getting food at an outside restaurant.
'6530': A heard of cows with yellow tags on their ears in a field of grass.
'6531': A yellow cat is sitting on a green blanket.
'6532': Two people are walking next to a motorcycle.
'6533': 'THERE IS A LIVING ROOM WITH A TABLE AND TV '
'6534': The photo of the bus stop has a blurry city in the background.
'6535': The helicopter is flying high in the sky.
'6536': A female tennis player is preparing to serve the ball on the tennis
court.
'6537': A hand holding a spraying hose to a toilet bowl and a mirror in
a small toilet stall.
'6538': A horse and cart are stopped on a busy street.
'6539': A man is running with his kite in an open field.
'6540': People using booklets and electronic devices all facing in the same
direction.
'6541': 'A zebra has its nose pressed to the ground. '
'6542': A herd of elephants standing in a water hole with a boat and a crowd
of people watching.
'6543': Four bowls of snacks of meat and crackers.
'6544': A tall vase with red and white tulips in water and a picture frame
are on the table.
'6545': A young boy and a girl on a tennis court prepare to hit tennis balls
with their racquets.
'6546': A goat leans propped against a tree on a grassy surface.
'6547': A man in a suit is holding awards while standing next to military
men.
'6548': 'a bathroom with blue and white walls '
'6549': A vending machine for microwaved food with a microwave on top of
it.
'6550': A banana and a nearly empty bowl of food resting on top of a table.
'6551': A large four sided clock hangs on the corner of the building next
to a bird's nest.
'6552': A very cozy looking living room with an oval table.
'6553': A man is on a transparent snow board with a kite.
'6554': 'A table with food and a drink on it '
'6555': A steel strainer with four ripe banana's on a table.
'6556': Street markers pointing to different locations behind a few stores.
'6557': A woman sitting on a bathroom floor next to a toilet.
'6558': 'A chocolate frosted donut on a plate with a cup of coffee and a
penguin napkin holder. '
'6559': Shadows are cast onto the side of an ocean because of the sun.
'6560': A very pretty sun-drenched kitchen with a small wooden dining table.
'6561': An adult standing behind a little girl while holding an umbrella.
'6562': A floral drape full of feathers sitting on a table next to a vase.
'6563': A sheep is on a field of grass with two men chasing it.
'6564': There is a dog wearing an elephant hat.
'6565': An elderly man and a young woman are skiing down the mountain slope.
'6566': a brown teddy bear sitting on an odd looking chair
'6567': A sailboat is riding the waves as a surfer surfs in the background.
'6568': A woman works on her laptop in the dark.
'6569': 'A calico cat drinks water from a faucet. '
'6570': The plate has a banana being sliced far from cookies.
'6571': some black cattle are grazing in a green field
'6572': Two women are taking a turkey out of the oven.
'6573': An Apple user and his faithful cat are napping on the couch.
'6574': Two zebras fighting in a cloud of dust
'6575': A triple decker sandwich is sitting beside a desk.
'6576': 'A pizza in a pan topped with cheese and meat. '
'6577': A blue frisbee sitting on top of a lush green field.
'6578': Camels are racing next to motorcycles and horses on a dirt track.
'6579': Some kind of bear sitting on a teddy seat.
'6580': The exterior of a building with a clock and a flower bed.
'6581': He was feeding the baby in his chair at the dining table.
'6582': Three young men playing Wii on a projection television.
'6583': A hand pouring water into a white toilet bowl.
'6584': A person sitting on the floor near a plate of donuts.
'6585': A toddler is getting messy while decorating his cake.
'6586': A person with a white umbrella, two dogs, and a parrot.
'6587': A close up of a jar of cooked rice and a bowl of oil.
'6588': A group of young men standing on top of a sandy beach.
'6589': 'The bathroom is a mess with sports gear. '
'6590': Two policemen standing next to a life size replica of a suitcase.
'6591': The pick up truck is plowing piles of leaves.
'6592': two teddy bear on the arden with some decorations
'6593': A clock on a stand displays the time in a garden.
'6594': There are 3 female peacocks together walking around.
'6595': 'A grassy hill side with some animals in the distance '
'6596': The photo of the double parking meter has a blurry city in the background.
'6597': A man holding an umbrella on a sidewalk.
'6598': A street pole with two-way, except deliveries, street and no walking
signs.
'6599': A surfer lying on a beach with a surfboard next to them.
'6600': A laptop sitting on a knit item on a desk.
'6601': 'A little league baseball team in orange uniforms posing for a group
picture. '
'6602': A view of a bathroom with a broken mirror that needs to be fixed
up.
'6603': A single child playing a game outside with boats in the background.
'6604': A man and a woman standing in front of an oval mirror.
'6605': A whole pastry, a glass Arizona tea and another piece of pastry.
'6606': A sushi roll sitting on top of a white plate.
'6607': An old motorcycle on display at a show.
'6608': A person holding a multicolored umbrella looking at a calm body
of water.
'6609': A man wearing a hat and scarf is holding a dog wearing a hat.
'6610': A wooden boat has docked next to this pier.
'6611': A person setting down a slice of pizza onto a plate.
'6612': a collection of various food pictures mostly of desert type items
'6613': A butter cake is on a plate and is topped with blueberries.
'6614': Two people sitting on a hammock near trees.
'6615': Several female horse riders crossing a river to shore.
'6616': Two large bicycles are travelling along a tree-lined roadway.
'6617': A boy draped in a blanket holds a remote control on a couch
'6618': A jet plane and a large white sphere.
'6619': The backsides of people as they wait for a train coming in to the
station.
'6620': A dining table with a fruit platter and a TV monitor.
'6621': Men outside of the airport push carts of luggage.
'6622': A man and woman in ski gear and snowboard standing in front of a
mountain.
'6623': The young boy is flying his kite on the beach overlooking the water.
'6624': A woman sitting at a table topped with pizza.
'6625': a small black bird is standing on a tray
'6626': A person does a trick near a skate board by a beach.
'6627': A giraffe standing next to a large elephant.
'6628': Two stuffed animals with a statue on top of them sitting in a patch
of dirt.
'6629': A barefoot toddler hitting the ball with a baseball bat in his backyard.
'6630': A train traveling down tracks next to buses and lights.
'6631': A white frosted cake sitting in front of some white flowers.
'6632': 'a man on skis stands on a snowy hill side '
'6633': A mouse walks underneath a big elephant.
'6634': A red mailbox is on the sidewalk next to a sign.
'6635': 'a pot filled with a soup with a lot of carrots '
'6636': 'A little boy with a red baseball cap playing tennis. '
'6637': 'Two men using nintendo wii remotes to play a game '
'6638': A giraffe in the wilderness eating some grass.
'6639': A street sign for the street named Crapo.
'6640': A small group of people standing in a tiled red and white room.
'6641': A bathroom with sinks, mirrors, and a shower.
'6642': There are two children sitting on the couch, one is a baby.
'6643': A group of giraffes drink water in the wilderness.
'6644': 'Scissors and other utensils in a cup sitting on a desk. '
'6645': A toilet with two sinks and mirrors with lights on
'6646': A salad made with yellow pepper strips and green sprouts sits on
a square white plate.
'6647': Baseball players prepare for the next pitch in a game.
'6648': An umbrella and tennis shoes sitting on a rug in a corner.
'6649': a blue suitcase sits on the floor in front of 2 pair of shoes
'6650': Young man on top of a sparkly snowboard wearing maroon jacket.
'6651': An adult and baby moose step out of a busy thicket in the wild.
'6652': A man looking over an open mechanical clock.
'6653': A person stands in front of two motorcycles.
'6654': A wall with several different clocks hanging from it across from
a mirror.
'6655': A boy riding a boogie board in the ocean waves.
'6656': A camera showing a picture of someone touching a cupcake.
'6657': a girl is looking into an open refrigerator
'6658': 'some kids playing with some large checkerboards painted on the
ground '
'6659': A very nice living room that is very clean.
'6660': There are three men in an odd looking boat.
'6661': A red bike with white handles is locked to a black pole on a sidewalk.
'6662': A man standing on a tennis court holding a racquet.
'6663': A small child that is holding a toothbrush and brushing their teeth
with a teddy bear next to them.
'6664': A low flying airplane over a parked rusty silver van.
'6665': A pretty red white and blue parking meter by some tall shrubs.
'6666': A messy bedroom doesn't have any red brick walls.
'6667': A woman carries a box of bananas down a crowded street.
'6668': The fire in the fireplace in a sitting room has been extinguished.
'6669': An old woman leans on her cushion while sitting on an ornate bench.
'6670': One beautiful young lady eating three slices of pizza.
'6671': A variety of croissants sitting on a paper plate.
'6672': A woman riding skis across snow covered ground.
'6673': A young girl with a video game controller in her hand.
'6674': A herd of cattle grazing on a lush green field.
'6675': Four giraffes and some kangaroos are standing around while three
zebras walk by.
'6676': A young man, a small boy, and a grandma are talking about a piece
of pizza.
'6677': A red fire hydrant beside a city sidewalk.
'6678': A white chair, books and shelves and a tv on in this room.
'6679': Some pineapples and an orange sit on a table.
'6680': A group of ladies playing video games in a dimly lit room.
'6681': A plate and a fork of noodles and broccoli are shown.
'6682': A table filled with flowers and dishes of very tasty looking food.
'6683': A fixed telephone pole in a neighborhood with a stop sign attached
to it.
'6684': A man and woman are watching a video game while holding hands over
their heads.
'6685': A chocolate frosted donut in a bowl with a cup of coffee and a penguin
napkin holder.
'6686': A pizza sitting on top of a white plate with lots of toppings.
'6687': A toddler and two young women are washing two motorcycles with hoses.
'6688': Several different opened towels all located near each other.
'6689': A coin with a portrait and some rings in the drawer.
'6690': A man uses his computer beside a park bench.
'6691': A man and a child are holding open an oven door in a kitchen.
'6692': Two sheep and a ram stand next to a fence in a tulip field.
'6693': A person carrying a crate on their shoulder that is full of bananas
and apples.
'6694': A young brunette woman with multiple face piercings.
'6695': A blue lighted bridge over water with swans at night.
'6696': On top of a red desk, a pair of scissors.
'6697': A large giraffe looks at a smaller giraffe and a bird looking over
a fence.
'6698': A crowded street at night with lots of lights in the background.
'6699': A man standing in the street with a umbrella and a car passing by.
'6700': A table with a napkin, doughnut next to a plate, and a cup of coffee.
'6701': Large baked pizza served on stand next to table with beverages.
'6702': Here is Massachusettes candidate Elizabeth Warren's campaign trailer.
'6703': A man in a palm suit stands in front of striped trees.
'6704': The man kisses the girl on the hand as she laughs.
'6705': A pizza in a pan topped with olives, cheese, and meat.
'6706': a child wearing a hat is holding a pizza box with pizza inside.
'6707': A person dropping a phone in each hand and wearing a head set in
front of a Christmas tree.
'6708': A table without plates of food and a bottle of alcohol.
'6709': A skateboarder jumps off the top of a ramp.
'6710': A gazelle standing on rocks and its ears are up.
'6711': A picture of a fish in the wild.
'6712': Traditional American comfort food arranged on a plate
'6713': A chair sitting in the middle of the room, in a black and white
photo.
'6714': A painting of a table with fruit on top of it.
'6715': Two faded street signs with a stop sign above, in a rural area.
'6716': An elderly man gets ready to fly a kite.
'6717': 'A pan with carrots, apples, meat, and potatoes. '
'6718': People watch from a smaller boat as a larger boat is lowered into
the ocean.
'6719': A bunch of dimes surrounded by a stone with a hole in it.
'6720': A porcelain tea set, bathroom set, and plant are on display.
'6721': A wall with several different clocks hanging from it with a mirror
next to them.
'6722': A cake with cream topping beside the plate.
'6723': A bicycle riding in a city area with traffic signs.
'6724': A large white sheep next to a small black one
'6725': A huge bear is sitting in front a group of boxes.
'6726': A vase with various flowers in it on a display case.
'6727': 'a black and white picture of tow baseball players and a coach '
'6728': A green bicycle sits on a sidewalk near a street.
'6729': Skiers on a ski slope; one laying on the ground.
'6730': THERE IS A FIRE BURNING IN THE FIREPLACE IN A SITTING ROOM
'6731': A lone bicycle parked in a parking lot with cars parked on a street.
'6732': A very big white restroom without a shabby looking shower.
'6733': A man serves a sliced apple to one of his friends
'6734': A group of people in a city with various kites in the sky.
'6735': The wooden park benches are painted dark purple.
'6736': a hallway next to a bedroom doorway and a blue padded chair.
'6737': A man standing behind two brown horses on a dirt field.
'6738': a black counter a sink and a table and two chairs
'6739': A black cat that is sitting in a rusty sink.
'6740': Donuts and a bag of beans on a table with remote.
'6741': Two bear cubs are playing on a log.
'6742': A line of small teddy bears are in front of several DVD cases.
'6743': A statue of a monkey with a box on its back.
'6744': A fire hydrant in a grassy field next to a bush
'6745': The grey and white cat stares up near a laptop.
'6746': A boy is sitting on a wall and looking down at his cell phone.
'6747': Three zebras and a lama huddling together in a very dry area.
'6748': A dell inspiron laptop is lying on a desk.
'6749': A dog is on the floor hiding under a curtain.
'6750': A very simple living area with a chair, sofa and TV.
'6751': An old brunette woman with multiple face piercings.
'6752': A collection of candles, bowls, and small trinkets.
'6753': A person in a helmet is riding a bicycle.
'6754': Fresh vases of two flowers sit on top of the table.
'6755': Two men and a child are ordering food from a small outside restaurant.
'6756': A black cat with green eyes sleeping in a bathroom sink.
'6757': A metal blender beside a stone counter.
'6758': A zebra stands in high grass in wooded area.
'6759': Same football players reach for the ball at two different times.
'6760': A person hugging another while smiling at a cake.
'6761': 'A group of school children posing for a picture. '
'6762': A jelly-filled donut with a cup of coffee and an ornate napkin holder.
'6763': A skillet contains mixed meat and diced vegetables.
'6764': there is a small black table next to a white toilet
'6765': Two people standing far from each other on a ski slope.
'6766': A person putting away a multicolored umbrella while looking at a
body of water.
'6767': A man sitting at a bar being served by a woman
'6768': A building wall and pair of doors that are closed, along with vases
of flowers on the outside of the building.
'6769': A man standing on rocks near a man walking on a trail in the woods.
'6770': 'a man sitting in a room taking a selfie in a mirror '
'6771': A man holding an umbrella on a beach during the day.
'6772': A red motorcycle is displayed in a showroom.
'6773': ' A white bus parked at a stop next to a crowd.'
'6774': The small bathroom has a toilet with a black seat.
'6775': A skateboarder doing a trick at a competition.
'6776': Men are riding horses while going over a bridge above the river.
'6777': A barge floating down a river with a blurry skyline in the background.
'6778': A large dining room features wooden cabinets and a marble counter
top.
'6779': A bunch of pottery stacked on a sidewalk.
'6780': A colorful light in front of a train on a street bridge.
'6781': The young girl wearing white rides atop the red and black pony.
'6782': A brown chicken is pecking on a lush green field.
'6783': 'a man with glasses sitting on a chair with a wiimote
'
'6784': A kid standing with a small suitcase and a tennis racket on a street.
'6785': A female skier stops and poses for a picture
'6786': 'A black metal bench with a had hanging on the back of it. '
'6787': Black and white photograph of a hot air balloon on beach next to
boats.
'6788': A vintage closeup shows a chair with a toddler with a big smile
and a big toy bear seated right next to a second toddler with a semi-smile,
holding what appears to be a coin purse.
'6789': A boy and two women are playing the wii game together.
'6790': A high rise building with flags and a street sign in the background.
'6791': A mouse is next to a keyboard and a pencil on a desk.
'6792': A man and woman sit on benches with a small child.
'6793': Three zebras standing together in a grassy field.
'6794': A man standing on a hillside next to a lake holding frisbee.
'6795': A woman is riding a horse as it jumps over a bar.
'6796': 'A few meters are sitting near an Air plane. '
'6797': A man on a beech vehicle making his way through the sand with an
umbrella.
'6798': Two brown bears playing open mouthed in a frozen pond.
'6799': Three zebras and two giraffes are standing in front of a wall.
'6800': A couple of children sitting next to piles of fruit.
'6801': Man looking at laptop playing video game in the bright light.
'6802': A dog sitting on a couch with a cat on the floor.
'6803': A foldable blue bicycle sits on a sidewalk near a street.
'6804': 'A woman taking a picture on a sunny day. '
'6805': A teddy bear sitting on the ground in front of towering boxes.
'6806': 'A man takes a black and white selfie with a phone. '
'6807': A young man is playing with a giraffe
'6808': A man standing on a wet beach holding a blue board.
'6809': A squirrel standing on a bench with an orange tree in back.
'6810': Three teddy bears and a robot toy are sitting next to each other.
'6811': A batter, catcher and umpire during a baseball game.
'6812': A red bike is parked outside of a barred window.
'6813': A desk with two laptops and an iMac.
'6814': A cat sits on the plant, and swats at its hind legs.
'6815': A cooked pizza pie on a tray with another that is uncooked.
'6816': A motor cross bike and a scooter rider in the air doing tricks.
'6817': Glowing street signs on the corner of Furnace St and Crapo St.
'6818': The two young girls are petting the two puppies.
'6819': a brown bike rests against a black bed.
'6820': A large airplane flying in the blue sky.
'6821': A living room with walls painted beige and furnishings and accents
in shades of blue and purple.
'6822': An illuminated graffiti covered wall and parking meter are seen
in this image.
'6823': A smiling man and a very cute small girl sitting together.
'6824': A man in a black jacket dropping a zebra print umbrella.
'6825': A group of women operating a hair salon.
'6826': A small child wearing a tie sits on his luggage.
'6827': The woman is next to the court, watching a game of tennis.
'6828': A large group of zebras graze in the sandy grasslands of Africa.
'6829': The neatly made bed is beside an open window.
'6830': A broken double parking meter stands on the street.
'6831': A man sitting upright on a surfboard paddling through the water.
'6832': Two weathered wood bears sitting on a little chair.
'6833': A cat standing in front of a monitor that is displaying a picture
of another cat.
'6834': A large jet airplane parked next to a flat tower.
'6835': A man with a tattoo is sitting on the train tracks.
'6836': A brown couch next to a red chair in a living room.
'6837': The clock is built near the roof of a building.
'6838': A TV with a picture of black men wearing two hats.
'6839': A statue of a bear wearing a blue ribbon.
'6840': A child and a man are flying their kites in the sky.
'6841': Two bear cubs are sleeping on a log.
'6842': A man and child pose for a picture together
'6843': A man drives a motorcycle down a road with a stop sign in the fog.
'6844': Man in white shirt and black pants standing next to red flatbed
truck cab next to a set of new tires.
'6845': A small kitchen with an open design concept.
'6846': A person holding a frisbee on a beach with two dogs on either side.
'6847': A colorful public restroom focused on the toilet stalls.
'6848': Two men with back packs and engraved walking sticks.
'6849': A woman in brown shirt holding a hotdog under tables with umbrellas.
'6850': An empty clean kitchen without cabinetry, stove and dishwasher.
'6851': A coach and tennis player speaking while fans watch in the stands.
'6852': A black polar bear is laying down in its pen.
'6853': 'An office view shows cubicles and overhead lights in the background,
and to the front , a serious looking man with a beard, vest and colorful
tie. '
'6854': A dime surrounded by a bunch of stones with holes in them
'6855': A toilet and a shower in a bathroom next to a sink.
'6856': A cat drinking out of the faucet of a sink.
'6857': A man with curly dark hair, a shirt and a tie posing for a picture.
'6858': A computer user types one handed on a keyboard while looking at
a monitor.
'6859': Two young black deer playing at the zoo.
'6860': Two stop signs in front of a building on a street.
'6861': A man in yellow shirt and black shorts playing a game of tennis.
'6862': An old man with glasses eating a hot dog with bun.
'6863': A referee and tennis player speaking while fans watch in the stands.
'6864': 'The stop sign is at a four way intersection. '
'6865': Three adult horses walk calmly along close together.
'6866': A person wearing a red biker shirt stands next to his dusty bike.
'6867': A man in casual clothing standing next to a control board and computer.
'6868': A picture of a restaurant interior with a barista is taken through
a fish-eye lens.
'6869': Two planes fly over the ocean near each other.
'6870': The painting is of a vase of flowers on a marble table.
'6871': The old man possesses a very unusual face.
'6872': there is a wooden microwave that is on top of a black table.
'6873': 'A hand is holding a carrot for a llama to chew. '
'6874': A row of white teddy bears on shelf above DVDs.
'6875': A man sitting on a bench with a glassy tall building behind him.
'6876': Two realistic bears are positioned at a table with a jar of honey.
'6877': A room with chairs, a large mirror, and a painting on the wall.
'6878': A view of a work desk complete with computers and a book.
'6879': A man sitting on a bench with an umbrella and a shopping bag next
to him on a train.
'6880': A toilet covered in glitter sitting inside of a room.
'6881': A football goalkeeper lunges and reaches back with the ball.
'6882': Three teddy bears that are sitting next to each other.
'6883': A very clean bathtub in a bathroom and a towel.
'6884': A wet dog is playing with a rubber toy bone and a string of balls.
'6885': 'a man on skis fly through the sky '
'6886': A man on a scooter watching someone on stage.
'6887': A man holding a book about the topic fun.
'6888': A close up of a toilet and a bath tub with soap.
'6889': A vase and a musical instrument are sitting on top of a scale.
'6890': Three rows of luggage of various color and size.
'6891': a bird sitting on a brick of bird food on a pole
'6892': A room with a bunch of stainless steel items and plants and other
accessories.
'6893': A baby lying down between a lady and a man on a bench under a tree.
'6894': People standing around a waiting room with a curved screen TV.
'6895': A smiling man standing near a very nice looking cake.
'6896': An ice skater listens to music as she glides across the ice.
'6897': People and a parrot are in a store that is selling bananas and apples.
'6898': A man reaching out to a giraffe's neck near a gate.
'6899': A woman tennis player in a black army shirt and tennis skirt, holding
a tennis racket.
'6900': A garage with ski equipment laid out on the floor.
'6901': An area outside a dwelling that has been flooded with standing water,
rocks, and trash piled up.
'6902': A woman and a child in black shirt and skirt are playing a game
of tennis.
'6903': A man attempts to fly several kites on a beach.
'6904': some planes on an air port run way
'6905': A herd of goats on the road and a car.
'6906': A biplane flying upside down leaving a large shimmering vapor trail.
'6907': The man is riding a bike led by several dogs.
'6908': a black and white picture of a little boy and girl
'6909': A bathroom without blue walls and pink tile.
'6910': A building sign with flags on it and a street in the background.
'6911': A dog chewing on top of a football and a large white ball.
'6912': A woman types on a laptop while a child and someone else operate
the mouse.
'6913': Young child playing with several lawn type ornaments.
'6914': A police man on a motorcycle and a helicopter are idle in front
of a bush.
'6915': The vanity is decorated with a dried red flower arrangement and
glass candles and perfume bottles.
'6916': Two zebras running around the green grass in an enclosure.
'6917': A cat that is looking at a television screen.
'6918': A painting of a yellow vase holding white tulips.
'6919': A shower and a toilet in a small room.
'6920': A group of women holding hats while standing at a dessert table.
'6921': A flock of birds flying over the ocean next to a beach.
'6922': Young men standing next to a table.
'6923': A sign pinned to a tree next to a parking meter and a trash can.
'6924': A spotted group of zebras that are standing in the dirt.
'6925': A man on a cellphone sticking his finger in his ear.
'6926': Several cars travelling on a street with several pedestrians.
'6927': Two dolls sitting on a wooden chair in a yard.
'6928': A child kneeling in front of a closed refrigerator and looking in
at an empty lower shelf.
'6929': A biplane leaves an iridescent smoke trail while doing a trick.
'6930': A small child laying in bed drinking a bottle of milk.
'6931': A man in a white shirt and a red hat catches a white frisbee.
'6932': Landing strip with two planes, several men and an SUV.
'6933': Two people are at a computer desk with a mouse.
'6934': Scissors and other utensils in a cup next to a desk.
'6935': Outdoor show with sheep beside a grass field.
'6936': A row of white toilets embedded in a dirt ground.
'6937': The referee watching two soccer teams going after the soccer ball.
'6938': There is a small umbrella on a beach chair with a banana.
'6939': The street signs for Gladys and Detroit streets are attached to
a wooden pole.
'6940': A hand adding a cherry to some small tarts.
'6941': A woman wearing a pink hair towel working in a factory.
'6942': An old man is wearing an odd hat
'6943': A woman taking a selfie while brushing her teeth and looking in
the mirror.
'6944': A picture of a child lying in a bed.
'6945': Two barefoot women holding game controllers in one hand.
'6946': A man in shirt and tie standing in a movie theater next to other
people.
'6947': A kayak floating down a river with the skyline in the background.
'6948': The meal is being prepared in the big wooden pot.
'6949': People playing board games together in a room.
'6950': A young boy lying in a bed with toy cars and a sippy cup.
'6951': A beach dock area lined with boats, and a small shack with a scooter
and a foldable small cart near it.
'6952': A man is laying in bed reading a book.
'6953': Some brown scissors are on a scrap book table.
'6954': A bedroom with wooden floors and furniture.
'6955': The couple are dressed casually and posing for photos.
'6956': Sliced bananas sit on top of a pastry dish on a chipped plate.
'6957': A child with a backpack and a ball underneath an umbrella.
'6958': 'A room with a couch, table set with dinnerware and a television. '
'6959': A bedroom with an armchair and a flat screen TV on top of a wooden
dresser.
'6960': A zebra and a gazelle graze on some green grass next to some trees.
'6961': A baby is dropping some poles in the middle of a grass field.
'6962': A plate of food sitting on a table, it appears to be a salad.
'6963': Two small children holding remote controls while sitting on a floor.
'6964': A masked crowd of people walking along a snow covered mountain side.
'6965': A pile of green bananas on top of a woman's shoulder.
'6966': A plastic bento box filled with rice, vegetables, fresh fruit and
a pizza slice.
'6967': A sign stating tree trimming is on a tree by a parking meter.
'6968': A group of sandy men standing on top of a young beach.
'6969': A group of people riding skis on a snowy surface with a snowman
nearby.
'6970': A large rhinoceros looks at a smaller giraffe looking over a fence.
'6971': An illuminated bus parked below an outside Apple sign.
'6972': A picture looking into a hat store and an umbrella shop.
'6973': Two zebras are standing together outside a barn.
'6974': People are riding on motorcycles together down a street while a
helicopter flies overhead.
'6975': A variety of doughnuts sitting on a paper plate.
'6976': 'A trolley train is traveling on a track along the beach. '
'6977': A red dog sniffs an old fire hydrant.
'6978': A woman on skis on a ski slope posing for a picture.
'6979': Two long boats are sailing near a hot air balloon and a large bridge.
'6980': A man's reflection looking at a picture in a shop window.
'6981': A man with a ball facing a girl with a racquet.
'6982': A person sitting next to a laptop and a lamp in a dark room.
'6983': A nicely decorated living room and dining area.
'6984': A dishwasher sitting inside of a kitchen.
'6985': a clean kitchen counter with a clean sink
'6986': A surfer is riding the waves as a sailboat sails in the background.
'6987': A girl with an umbrella in a chair
'6988': A red stop sign that reads "Eating Animals" and a basket of vegetables
below it.
'6989': A woman surfer riding the waves in the ocean.
'6990': Scene of sinks and mirrors in the process of being completed.
'6991': A yellow truck and a boat are sitting in high grass.
'6992': THERE IS SOME SORT OF FRUITS IN A BOWL.
'6993': A small compact car driving past a sprawling furniture store.
'6994': a brick building with a blue sign on it in front of a metal pole
'6995': A table with a napkin, doughnut on a plate, and a cup of coffee.
'6996': A person in a black snow suit on a snowboard in the snow.
'6997': A man in a blue hat, suit, and red striped tie walks past two other
men on a street.
'6998': Several cars parked in a lot in a city.
'6999': The bathroom is a mess with a laundry basket and sports gear.
'7000': A display of shoes, umbrellas, and hats are in a window.
'7001': A woman wearing shorts bends over a frying pan on a stove.
'7002': A photo of a man that he took of himself.
'7003': The man is sitting next to the park bench using his laptop.
'7004': Two guiding signs are pictured in front of a busy street.
'7005': A close-up of a plate of drink containing ice and lemon.
'7006': A clock and a painting are encased in the wall of an older building.
'7007': There is a speckled white horse pulling a trolley behind it.
'7008': A little girl in a pink shirt beside a game controller.
'7009': A cat sitting in front of a large computer monitor.
'7010': A PERSON HOLDING AN ANDROID CELL PHONE IN THEIR HAND.
'7011': A cat is knocking over something from a glass.
'7012': A small giraffe stands in the grass near a cobblestone road.
'7013': The room is crowded with many things including cups, a bicycle,
and a table with chairs on it.
'7014': An office desk with a book, computer keyboard, and mouse.
'7015': A laptop sits on a tripod connected to a camera.
'7016': A man poses with an empty bowl and two beers.
'7017': A young woman in a yellow shirt preparing to serve in a tennis match.
'7018': A cat sitting on top of a banana tree with a parrot perched on a
nearby branch.
'7019': A plate of waffles with blueberries, bananas, and strawberries on
top.
'7020': A meal of meat and corn and veggies on a white plate.
'7021': A person holding sunglasses and a multicolored umbrella looking
at a body of water.
'7022': A herd of cows are by a brick house and a greenhouse.
'7023': A man and a helicopter on skis fly through the sky.
'7024': An oven next to a wooden counter.
'7025': A man in a red shirt rides a yellow surfboard on light blue water.
'7026': Dog wearing red vest catching blue flying disc at outdoor event.
'7027': A boat that is sitting in the water.
'7028': An orange cat sits in a white bathroom sink.
'7029': A table with a large ice cream and small plates of ice cream.
'7030': A collection of kitchen utensils and spices in a metal bowl.
'7031': A child with various yard decorations some of which look like unicorn
and fish.
'7032': A serious man and a woman are holding video game controllers.
'7033': There black cows in grassy area with temples in background.
'7034': A beach has a grassy area with a park beach.
'7035': A herd of zebra in dry vegetation near dry trees.
'7036': A cat standing next to a black toilet near a bath tub.
'7037': A young woman with green eyes and piercings all over her face.
'7038': An empty vase of flowers on a bathroom sink counter.
'7039': A very simple living area with a chair and lamp on one side, and
a sofa and TV on the other.
'7040': An orange and white cat and a pillow are laying on top of a bag
of luggage.
'7041': A small bunny character is on a plate of pizza.
'7042': People fill a park area under a cloudy sky with hot air balloons
while kites pepper the sky.
'7043': A bird flying through the air, overhead.
'7044': an image of a girl getting ready to serve on the tennis court
'7045': a baseball player is swinging a bat and some grass
'7046': A television, leather couch and chair in the corner of a room.
'7047': A coin meter that is brand new.
'7048': A dog and cat are sleeping together on an orange couch.
'7049': This is a plate holding a double decker sandwich.
'7050': A surfer on a white board riding a small wave.
'7051': A boy holds a baby eating a bagel with a girl standing next to them.
'7052': An extremely focused child playing with the Wii.
'7053': The two burgers on the plate are ready to be eaten.
'7054': Man at top of boat with another person standing by end holding a
long stick
'7055': A man has a red water bottle up to his mouth.
'7056': Baseball players and a coach are taking baseball bats from a wall.
'7057': A kitten is sleeping next to a mirror and touching the mirror with
one paw.
'7058': The bathroom has very black appliances in it.
'7059': 'A red bicycle leaned against a red stucco building with a graffiti
covered door. '
'7060': Men on bikes are getting pulled by a group of dogs.
'7061': A scenic view of a valley with snow-capped mountains in the distance.
'7062': A red boat floating in front of a city scape.
'7063': Numerous head of cattle are grazing in the dewy grass.
'7064': One person is eating chilli and a mushroom and onion grilled cheese
and the other is having a sandwich and fries.
'7065': 'A person on skis is skiing down a snowy hill. '
'7066': The dining table near the kitchen has a bowl of fruit on it.
'7067': A woman sitting on a stone bench on a wall.
'7068': Small wooden and white kitchen sink with a small round mirror.
'7069': A close up of an oven with food cooking inside.
'7070': A woman sits on swings watching the park.
'7071': All of these men are using their laptops.
'7072': A large white kitchen range with gold towels on the front.
'7073': A couple of men standing in front of a building.
'7074': Multiple time pieces and a painting are displayed on the wall and
on a flat surface.
'7075': 'Three female workers stand in front of rows of pastries. '
'7076': A photo of a woman that she took of herself.
'7077': A man and a child are standing next to another person in a wheel
chair.
'7078': A black trash bag in a restroom next to a sink.
'7079': a tv in a bathroom mirror next to sinks
'7080': A big brown and white cow standing next to a pole.
'7081': A man is cooking while wearing a jacket, scarf, and apron.
'7082': A boy asleep on a large hammock under a mosquito net.
'7083': A red train traveling down tracks next to a field.
'7084': A pair of red boots stand next to a black umbrella.
'7085': A guy inside a car taking a picture through the mirror in an urban
area.
'7086': 'A slice of pizza with toppings on a plate. '
'7087': There are a bunch of people cross-country skiing.
'7088': A tennis player is smashing the ball to his opponent.
'7089': A man standing on a vehicle with two small wheels.
'7090': Empty stylish kitchen and living room with small picture windows.
'7091': A piece of pizza with thousand island dressing and a Coke Zero on
the side.
'7092': Sheep are on a rocky field and one of them is a white and black
baby.
'7093': A woman taking pictures of skateboarders on a busy street.
'7094': A person eating a piece of food in front of a cafe.
'7095': A child making duck lips while holding an orange.
'7096': A person holding a spoon with food on it in one hand and a plate
in the other.
'7097': An open-mouthed, leashed dog has its head outside of an unlocked
car door window as a blurry park-like vista rushes by.
'7098': Some snowboarders, one in a blue jacket and the other in white,
are on the slopes.
'7099': A kitchen has a fancy white fridge in the corner.
'7100': A man holding a cell phone with both hands.
'7101': Girl holding onto Dad on the back of a motorcycle in traffic.
'7102': Man in tan suit walking down a rural street lighting a cigarette.
'7103': A rack topped with glazed donuts sitting side by side.
'7104': Three people and one is riding an elephant.
'7105': Two zebras are standing next to a building.
'7106': Two men are skiing down a snow covered hill.
'7107': A person's hand holding up an active smartphone.
'7108': 'some little stones sitting around a dime '
'7109': Two computer screens that are sitting on a desk.
'7110': A cat curiously looks at a photo of a dog on a computer screen.
'7111': a dog laying on a soccer ball on a field.
'7112': 'A car driving in an intersection, past a furniture shop. '
'7113': A large airplane landing on the runway.
'7114': A young boy and a dog are riding on top of a skateboard.
'7115': A very large pizza sliced into pieces with cheese and toppings.
'7116': An elephant is alone in a barren enclosure.
'7117': The woman doesn't have a knife and fork for eating the big pizza.
'7118': a piece of white cake with yellow frosting on a paper plate
'7119': A group of people watching a woman cutting a cake.
'7120': A German Shepherd dog wearing a helmet sitting by a motor cycle.
'7121': An area outside a dwelling that has been flooded with standing water
and trash piled up.
'7122': Two elderly women have stopped to pet the sheep.
'7123': Several people standing at a train station while a train arrives.
'7124': A pair of black boots stand next to a spotted red umbrella.
'7125': Two adults and a baby elephant standing near a fence.
'7126': A rooster walking on a beach near the ocean.
'7127': A man taking a picture of his reflection in a motorcycle mirror.
'7128': Someone holding a hot dog cut in half on some bread.
'7129': A locomotive on train tracks in a wooded countryside.
'7130': The shirtless men are riding horses through the mountain and a lake.
'7131': A very big white bus parked by the curb.
'7132': People are walking along a sidewalk in a city.
'7133': Two birds that are chirping in a small garden.
'7134': A man stands with his arms crossed as he looks at a clock.
'7135': Two young girls in uniforms sitting closely together.
'7136': An elephant standing on rocks next to a wood bridge.
'7137': A view of two billboards and several traffic signs on one pole.
'7138': A tall street sign on a pole in front of a green building.
'7139': A twisted clock tower stands in front of a large mirrored sky scraper.
'7140': A whole cake on a white plate on a table.
'7141': A dog sitting on a chair underneath a painting.
'7142': An entertainment room set up with a table for two for coffee
'7143': A person holding up a half eaten pastry and a teapot.
'7144': The woman is not holding her phone while the dog hangs out the car
window.
'7145': The meal is being prepared in the small pot.
'7146': A cat has its front paws on a toilet seat.
'7147': Small automobile parked on the side of a crowded beach area.
'7148': A picture of a white toilet next to the rest room.
'7149': 'The person holds a plate with two red apples near pedestrians holding
umbrellas. '
'7150': A squirrel sits atop a wooden post and watches its surroundings.
'7151': Some aquarium fish are swimming and having fun in the aquarium.
'7152': 'A man and a woman playing a game
'
'7153': A large chapel and a garden fountain facing towards the alter with
pews on either side and beautiful glass and marble adornments.
'7154': A young boy not wearing yellow is holding a pizza in a box.
'7155': A person in a black snow suit on a pair of skis in the snow next
to a snowman.
'7156': A man looking in the refrigerator with a dog also looking inside.
'7157': 'A room with two sofas and a fireplace. '
'7158': People watching an on screen presentation of a gentleman in a suit.
'7159': Two twin beds in a room with a picture of flowers above it.
'7160': A close-up of a table with three boxes of pizza.
'7161': A group of young and older people sitting around a table.
'7162': A pregnant woman in bed reading a book
'7163': Three chairs lying in a room near a mirror.
'7164': A little boy that is standing on a sidewalk with a suitcase.
'7165': Rows of various colored suitcases and backpacks at an airport.
'7166': Bicycles are parked on the sidewalk near a bus.
'7167': A man sitting in a chair with a cat and a laptop.
'7168': People are making bagels while a bagel machine works in the background.
'7169': A bear sleeps in a hammock made of heavy canvas.
'7170': A car waits in traffic behind a school bus.
'7171': The ceramic lid is up on the toilet bowl.
'7172': An elephant in the back of a truck trailer.
'7173': A wall with several different clocks on it, in both traditional
and modern styles
'7174': Muddy water is being sucked in by a water hose.
'7175': Two people standing inside a life size replica of a suitcase.
'7176': A small open toilet in a cramped space.
'7177': 'A white decorated living room with a set dining room table. '
'7178': A twinkling traffic light with a one way sign near a trash can.
'7179': There is a seagull flying over the water.
'7180': Large assortment of small and large vases displayed outdoors.
'7181': A beige teddy bear is sitting on a chair.
'7182': A white brown dog standing on the side of a large wood fence.
'7183': 'A woman holding a red book in her hand while sitting on a bed. '
'7184': A swim team in orange uniforms posing for a group picture.
'7185': A woman has headphones off and is holding two cell phones.
'7186': A horse pulling a trolley carriage with a man on it
'7187': A green motorcycle parked next to a tent in a field.
'7188': A polar bear with his chin raised lies on a rock.
'7189': A laptop with a bouquet of fresh flowers on the desk contrasts with
the infamous "blue screen of death".
'7190': 'A WOMAN IS STANDING LOOKING AT SOMETHING '
'7191': An old Asian woman model sitting on a folding chair in a sleeveless
dress, high heels and holding an umbrella.
'7192': A type of meat in a box and donuts on a plate.
'7193': A blue pot of tomato sauce with a wooden ladle.
'7194': Cows stand and lay in hay strewn around a barn.
'7195': A woman with colorful makeup is in a salon.
'7196': A woman is dropping something from her hand.
'7197': a kid is wearing a blanket on a coach
'7198': A cow standing in the dirt near a fence.
'7199': A smiling child and a dog stand under a pink and red umbrella.
'7200': A vase with a handle and candles containing flowers sitting on a
table.
'7201': A woman behind a yellow shirt is about to catch a white frisbee.
'7202': A coin with a portrait and some rings on the table next to a vase.
'7203': The man is skiing down the bare slopes.
'7204': The passenger bus is painted orange and yellow.
'7205': A white room with a large window and a glass dining table and white
chairs.
'7206': A white desk is covered with papers and has a silver lap top on
it.
'7207': An old blender and printer sitting on a table.
'7208': A very large burger covered in cheese and toppings.
'7209': 'a person riding a motorcycle on a a foggy road '
'7210': A group of people sit at a table with champagne bottles and cake.
'7211': This kitchen has a black stove, stainless steel refrigerator and
white cupboards.
'7212': a car in front of a train on train tracks
'7213': A cat has its front paws on a metallic toilet seat.
'7214': Couch and chair near window with wood curtain and a lacy table in
the center and a table with flowers between the couch and chair.
'7215': A man serving food from a table with the arm of woman around his
chest.
'7216': A wooden table with an inverted umbrella on it.
'7217': an old car in front of an old air plane
'7218': A Fedex truck drives in front of hills.
'7219': A cat is sitting on a bright orange chair.
'7220': A man is watching a trick being done upside down on his snow board.
'7221': The action in an organized youth baseball game.
'7222': A person cutting a salad next to a pizza and bottles of wine on
wooden table.
'7223': A large pizza is shown on a table, with bottles of wine, glasses
of wine, and a cake.
'7224': A yellow work truck parked in tall grass.
'7225': An ornate clock on a building with a water fountain and tree branches.
'7226': A close up of sheep on damp hay ground indoors.
'7227': Two dancing guys in the woods playing with a disc.
'7228': A collage displays colorful deserts and fresh vegetables.
'7229': Dozens of people walking around a metro area
'7230': there is a fire hydrant surrounded by three metal poles
'7231': A tennis player is running after a ball.
'7232': A horse with blinders on galloping through a wooded area.
'7233': Two slices of veggie burger pizza on a plate.
'7234': A train on top of an overpass bridge set of train tracks with fields
on both side.
'7235': A dog catching a purple Frisbee in its paw on a green grass covered
field.
'7236': A close up of many drinks and fruit in a fridge.
'7237': Man at end of boat with another person standing by top holding a
long stick.
'7238': A grey and black plane on a runway without trees in the background.
'7239': Sheep stand and lay in hay strewn around a barn.
'7240': A toilet lid is closed next to a bathtub with a white curtain and
pink tile wall.
'7241': An iced sandwich on a plate next to a pressed coffee at Starbucks.
'7242': There is a basket filled with pastries next to a keyboard.
'7243': A red stop sign with two green street signs next to it.
'7244': A man with a top hat and a red tie.
'7245': A brown metal chair with a large teddy bear in it.
'7246': Several multicolored birds standing in a puddle in a parking lot.
'7247': Two giraffe and a zebra are standing in a field.
'7248': A cat and dog napping together on the plaid couch.
'7249': A woman drinking a beverage from a red bottle.
'7250': 'A church steeple is shown amidst telephone wires and lights. '
'7251': Girl trying out a game at a trade show.
'7252': A brown bear is lying asleep next to a hammock.
'7253': A small, white formica kitchen with an oven, sink and small electrical
appliances.
'7254': Several suit cases lined in rows with silver luggage tags on them.
'7255': Well decorated bedroom in a small yellow tinted area.
'7256': A woman is pretending to hit a statue of a giraffe.
'7257': A phone placed on a banana on a table.
'7258': A dog sitting behind a pair of black shoes.
'7259': A lime green room without older style furnishings and curtains.
'7260': A giraffe standing under a leaf filled tree.
'7261': A group of people using their telephones on a subway car.
'7262': A table with a laptop, camera, phone and other devices sitting on
it.
'7263': White horse carrying a man in a black buggy.
'7264': 'Some flowers are sitting in the white vase in front of the window. '
'7265': A man walking on his skis in the snow with snow covered trees in
the background.
'7266': A plate of fruit bread next to bread sticks and wine.
'7267': A medium sized dog is standing with some people.
'7268': A young child holding onto a kite while standing on a green grass
covered field.
'7269': A little cat is sitting beside the table and watching TV.
'7270': A old television set is displaying an old computer game in front
of two bookshelves.
'7271': There are two brown bears that are playing together beside the water.
'7272': A curious cat looking upward by a laptop screen.
'7273': A man decorating a piece of cake while a person in costume stands
behind him.
'7274': A person setting down a chocolate doughnut with a face drawn on
it.
'7275': a bowl of food next to a very close banana
'7276': The grey and white cat is far from a laptop, staring up.
'7277': A man at home posing with balloons and a cake.
'7278': Two small clocks sit behind a glass window.
'7279': A sidewalk next to the indoor sitting area of a restaurant.
'7280': A woman holding an umbrella next to a waterway.
'7281': Two people and a puppy are holding wii remote controls in a living
room.
'7282': 'A black and white photograph of a person wearing DC shoes on a
skateboard in the sun. '
'7283': A hot air balloon is floating in the sky.
'7284': Shadows are cast onto the smudged side of a train because of the
sun.
'7285': A sign with an arrow and two men standing on the sidewalk.
'7286': A clock set to twenty after three in a field
'7287': A black cat sitting next to a couple of monitors sitting on top
of a table.
'7288': A tablet sitting on top of a white desk.
'7289': 'A modern living room with a christmas tree set up in front of the
window. '
'7290': A set of twins who are getting out of a bath.
'7291': A parent and a child are kneeling in front of an open refrigerator
and looking in at an empty lower shelf.
'7292': A young boy is recording a performance on a cellphone of several
people.
'7293': An apple is on a plate with a banana and peanut butter.
'7294': 'Two people sitting on a bench looking out over the ocean '
'7295': A bunch of bikes that are sitting next to a bench on the sidewalk.
'7296': A person cross country skis through the snow and stops to build
a snowman.
'7297': A very short clock tower sitting next to a tall glass building.
'7298': A yellow bus traveling through a city with small buildings.
'7299': A man with a tennis racket is in the air with legs spread apart
next to a tennis ball in motion.
'7300': Three elephants and four giraffe inside a fenced area.
'7301': A large pizza is shown on a table, with bottles and glasses of wine.
'7302': Two giraffes with the backs turned to the camera next to a wall.
'7303': A sitting room with old artwork roped off to the public.
'7304': A display in a store filled with lots of bottles of soda and bags
of chips.
'7305': A train at the station with no passengers around.
'7306': Several students sit at a conference table with their laptops.
'7307': A cat laying on a bed in front of a tilted book shelf.
'7308': A barefoot woman and girl flying a kite near a large castle.
'7309': This is a stuffed animal beside a toilet seat.
'7310': A woman looking over an open mechanical clock.
'7311': A kid stands in the snow on his snowboard.
'7312': View from inside of a car of cars on road and a man on the side
of the road.
'7313': A child standing outdoors in the yard watching a kite fly.
'7314': A fence with a clock stands behind a church.
'7315': a laptop and three cellphones on a yellow table
'7316': Horses and sheep graze in a lushly green mountain meadow.
'7317': 'a couple of people sitting around a table '
'7318': A kitchen with a sink, dishwasher and some boxes on the counter.
'7319': A black cat sitting on top of a bathroom sink.
'7320': A teddy bear sitting in front of toy wooden shapes and a rocking
horse.
'7321': A wooden spoon sticking out of a pot of food.
'7322': Flowers sit on a table, on top of a vase, beside a watering container.
'7323': A man taking a swing at a tennis ball
'7324': A serving of food on a white plate.
'7325': A man holds down an oven door with mittens as he looks into the
oven.
'7326': A brown horse standing next to a woman in front of a house.
'7327': A pile of clay and gold vases sitting in a yard.
'7328': A white train hauling cargo along a meandering track.
'7329': A small vase of flowers sit on a wooden table near magazines.
'7330': 'A pair of black boots stand next to a red umbrella. '
'7331': A chair and a towel that is on a beach.
'7332': A woman and a child are riding a green motorcycle with a side car.
'7333': A couple of little girls sitting next to each other in a bathroom.
'7334': Girls wash a motorcycle and a surfboard while men look on.
'7335': A country-style kitchen with red tile and white cabinets.
'7336': A small white sheep next to a large black one.
'7337': A pro helicopter and a jet play flying close to each other in the
sky.
'7338': A herd of gray elephants standing next to each other on a block
of cement.
'7339': A woman in a blue coat skiing through a snowy field.
'7340': A wooden handle in a pot with soup or stew next to an empty bowl.
'7341': 'a black bear walking toward a rock '
'7342': A man is dropping a piece of food from a string.
'7343': A library with some plants are seen.
'7344': A blue plate filled with marshmallows, chocolate chips and banana.
'7345': There is an airplane parked on the tarp next to a helicopter.
'7346': A man is outside watching someone swing a baseball bat.
'7347': 'A close up photo of a pizza with a lettuce and prosciutto topping. '
'7348': We are looking up at a clock in the peak of a roof.
'7349': A living room with a lot of chairs and a big entertainment center
and a fish tank.
'7350': 'a table with two laptops and chairs '
'7351': A picture of a pink bathroom sink, a mirror, and a toilet.
'7352': A foot wearing a pointy pink flat shoe rested upon a bench.
'7353': A goat and others in a corral together.
'7354': A little girl is letting go of a big stuffed animal with other children
in the background.
'7355': The plate has a banana being sliced near cookies.
'7356': 'A little girl puts her hand in a pasta dish. '
'7357': A group of people sit beside umbrellas on the beach.
'7358': Several pieces of pottery and a canvas are in the process of being
painted.
'7359': A woman flies a kite near a young child.
'7360': A vase filled with red and white flowers on top of a table.
'7361': A train is moving through an overcrowded train station.
'7362': a couple of stuffed bears are on a bed
'7363': A small bathroom with an open design concept
'7364': A skillet contains diced meat and mixed vegetables.
'7365': A picture of pink bathroom sink and a mirror.
'7366': A kitchen table and chairs with greenery and tulips.
'7367': A herd of elephants walking into a large body of water with a flock
of birds flying above.
'7368': 'A commercial airplane sits on a runway at an airport. '
'7369': A group of people on a beach boardwalk with their mobile phones.
'7370': cars are stopped at a traffic light on a highway
'7371': A young man doing a jump with his skateboard outside a skate park.
'7372': A hot air balloon floating in a cloudy blue sky.
'7373': A man and a child are sitting on a bench with a tall building behind
them.
'7374': A woman sits at a counter while a man looks at her through a window.
'7375': A group of zebras and flamingos walk along the sand.
'7376': The two young girls are petting two goats and some chickens.
'7377': People are waiting for the train with umbrellas.
'7378': A group of zebras walk along the sand.
'7379': Signs and a bench give the street names and show where to park.
'7380': A man holding a phone in one hand up to his ear.
'7381': Many people are sitting on two benches next to a light pole.
'7382': A sink with a cabinet on legs in a bathroom.
'7383': A tv monitor looking at a cat on a desk.
'7384': A pen is sitting beside a laptop.
'7385': Three people in work uniforms and visors standing together in front
of various types of donuts and coffee cups.
'7386': A blurry photo of a baseball player throwing a ball.
'7387': A man in a wheel chair who is holding a baseball bat.
'7388': A delicious sandwich layered with meat and dressed with avocado
lies on a cutting board.
'7389': there are two birds standing on the plate of food
'7390': A bear sitting on a log with really long claws.
'7391': A woman in a dress and pale makeup sitting by a table with a lamp.
'7392': A large aircraft is shown in the air.
'7393': A very small cute kid brushing his teeth with a light-up toothbrush.
'7394': A red stop sign with a green street sign to the left of it.
'7395': Two people sitting at a table with a lamp posing for a photo.
'7396': A bunch of kids are posing with santa
'7397': A guy and a girl looking into the bathroom mirror taking a selfie
photo with electric toothbrushes in their mouths.
'7398': A train passing through wooded areas on a train track.
'7399': The brown toilet with lid lifted is in the bathroom with neon purple
tile.
'7400': An old blender and a lamp sitting on a table with a printer.
'7401': A little boy walking along a row of orange cones.
'7402': A man and woman playing a wii game.
'7403': 'A bunch of bikers are gathered on a city street. '
'7404': This is a plate holding a double decker sandwich and a pickle.
'7405': Two brown bears growling at each other while laying on a log.
'7406': Two people are sitting on a bench looking out at mountains and a
lake.
'7407': A trolley that is being pulled by a white horse.
'7408': Elephants with large tusks are standing around behind a fence with
a zookeeper.
'7409': Large canoe without any people on lake with trees lining shore.
'7410': A tiled toilet sitting in a bathroom next to a white wall.
'7411': A pink toilet with a black seat sitting in a small stall.
'7412': A stack of identical electronics devices on a table.
'7413': A new husband and wife feeding each other wedding cake as a waiter
and photographer take pictures.
'7414': A cat curiously looks at a photo of a cat on a computer screen
'7415': Rows of identical colored suitcases at an airport.
'7416': A blue vase with an orange floral patters sits in front of a map.
'7417': A boy with a fedora on holding a pizza box open.
'7418': An old fashioned refrigerator surrounded by modern cabinets
'7419': A book sitting on top of a wooden table.
'7420': African elephants file through lush wilderness.
'7421': A child wearing a hat is holding a metallic pizza box with pizza
inside.
'7422': A child kneeling in front of an open refrigerator and looking in
at an empty lower shelf.
'7423': A mailbox that has the stars and stripes on it.
'7424': The young girl wearing red and black rides atop the white pony.
'7425': A homemade cheese pizza and crackers are next to the table.
'7426': A wooden keyboard sitting next to a mouse on a computer table.
'7427': One person is eating chilli and a grilled cheese and the other is
having a sandwich and onion rings.
'7428': Looking down at a desktop with three monitors, a key board, mouse
and cell phones on it.
'7429': an image of a school approved lunch in a tray
'7430': The child smiles brightly while jumping in puddles with a pink umbrella.
'7431': African animals placidly grazing near a fountain in a park enclosure.
'7432': A close up of a cooked fruit flavored muffin.
'7433': An image of a solitary giraffe in the water.
'7434': Giraffes standing in a wooded area, touching heads.
'7435': People watching the Wii together in a room.
'7436': A dirty kitchen counter with a clean sink.
'7437': A man, woman, and child are posing for a photo with pizza on the
table they are sitting at.
'7438': A woman sitting in front of several glasses and flowers, talking
on her phone.
'7439': A pan with carrots, sliced apples, meat, and potatoes.
'7440': A person is moving green hay towards an elephant that is inside
the back of a white truck.
'7441': A younger woman riding a train while sitting under its window.
'7442': 'A girl takes a bite of her pepperoni pizza. '
'7443': A woman and kids with surfboards on a beach with a large rocky area
in background.
'7444': An old man sitting on a bench in a lakefront public park.
'7445': A brown and white cow standing behind an iron fence.
'7446': A view of a pair of boots sitting in a corner, with an umbrella
and a painting.
'7447': Two zebras in a sanctuary standing close to the wall.
'7448': A black-and white picture of a rack full of doughnuts.
'7449': A man holding a black and yellow umbrella.
'7450': A dog relaxes on an armchair in a living room.
'7451': A bunch of cars parked in a parking lot.
'7452': A mother and child fly a kite in a grassy field, with a tower in
the background.
'7453': The Mexican dish is filled with several different ingredients.
'7454': A blue bus parked in front of a tall building.
'7455': A woman laying in a hospital bed hooked up to an IV and monitors.
'7456': A small certain grandmother was eating donuts off a blue plate.
'7457': A group of horses are crossing a finish line
'7458': A man riding a skateboard down the side of a ramp.
'7459': A cat pants next to a bowl of water on the ground.
'7460': A dog standing on a curved ledge in front of a lemon tree.
'7461': A plate of food with a colorful egg and fried vegetables.
'7462': A girl is leaning over a fence offering food to an elephant.
'7463': a parked tent and a green motorcycle and some trees
'7464': A dark stop sign sitting on the side of a red road.
'7465': A man on sidewalk holding a solid black umbrella.
'7466': A brown and black cat laying on laptop next to a chair.
'7467': A herd of sheep grazing on a pile of hay.
'7468': A tiny Fed Ex truck with three different containers that the truck
is pulling.
'7469': A panda yawns and extends its long tongue.
'7470': A vase with red flowers on it next to a map.
'7471': A solo motorcycle is on display at a museum.
'7472': A girl is sitting on a wall with a dog and looking down at her cell
phone.
'7473': Soccer players in their uniforms on a soccer field.
'7474': A sheep and a pig are on a field of grass with two men walking around
them.
'7475': A man in a white shirt holds his phone as he sits by a man in a
gray t-shirt.
'7476': A group of baby elephants and one adult elephant drinking water.
'7477': A photograph where the only color is coming from the bananas on
a stand.
'7478': A view of a parking lot with parking meters and a fountain.
'7479': someone that has some skiies on in the snow
'7480': A slice of pizza is on top of a napkin and a fork.
'7481': Three young men are playing Wii on a coffee table in front of a
projection television.
'7482': Two cell phones and a book are sitting next to each other on a table.
'7483': A bicycle traveling down a curvy road behind a black car.
'7484': There is a young man standing on a skate board.
'7485': A white horse is standing near a riding field.
'7486': A herd of cattle is feeding at the river's edge.
'7487': The young man is throwing a clear Frisbee.
'7488': Two girls are painting together.
'7489': A table with food, candles, and a glass of red wine.
'7490': People playing a game on green grass in front of a mountain.
'7491': A penguin riding a snowboard down a snowy slope.
'7492': A red and black plane sitting on a runway.
'7493': A guy and a girl looking into the bathroom mirror taking a selfie
photo with toothbrushes in their mouths.
'7494': A passenger train rides on the rails, crossing over another set
of rails.
'7495': A couple of horses are standing in the street next to a car.
'7496': A Windows laptop computer with a large mouse.
'7497': A guy and a pretty girl standing next to the mirror.
'7498': Two little girls are dressed in costumes preparing for a play.
'7499': Well decorated bathroom in a small yellow tinted area.
'7500': Bunch of branches sitting in vase filled with water and rocks on
bottom.
'7501': A surfer is on the water and is waiting for a wave with a seagull
flying overhead.
'7502': A homemade cheese pizza and crackers are on the table.
'7503': Two little girls standing next to each other making dough and pizza.
'7504': A group of people walking across grass, dressed informally.
'7505': Two young boys sitting on a couch, one playing a computer game.
'7506': A parking meter on the side of the street with a ring for attaching
bicycles and a scooter rental machine.
'7507': Others flying a kite on the beach while a man runs along the sand.
'7508': A cat sitting on a laptop computer next to a woman.
'7509': Two dogs running across patchy grass with a sprinkler on; one chasing
the other.
'7510': A man holding horse reins connected to 2 horses on a dirt field.
'7511': A dirty fridge leaning against the wall on the patio.
'7512': Animals using electronic devices all facing in the same direction.
'7513': There is an elephant standing near a flowering tree.
'7514': A beautiful woman sitting at a table with two pizzas.
'7515': A big orange sign about street maintenance near a street.
'7516': A table with a notepad and phone sitting on it.
'7517': A close up photo of a pizza with a lettuce, mushrooms, and prosciutto
topping.
'7518': A pair of red scissors on top of a desk.
'7519': A scruffy Polar Bear walks toward water, while a large bird lands
on the opposite bank.
'7520': An umbrella is on a table with many different objects, including
a plate of sandwiches.
'7521': An orange and white cat standing in front of a flat screen TV
'7522': A double decker bus sitting on a green field.
'7523': A bowl filled with leftover food and a cupcake sitting next to a
banana.
'7524': Two zebras running while another horse standing and staring.
'7525': A wooden door with multiple old paper images attached.
'7526': A big skyscraper that has a bunch of snow on it.
'7527': A room with a bookshelf, potted plant, tables and chairs.
'7528': A pole with stop lights and a horse walking sign.
'7529': a couple of people that are walking in some grass
'7530': A young woman with blue eyes and piercings all over her face.
'7531': A brown dog standing on a wooden swing near a lemon tree.
'7532': Two women and three men are skiing down a snow covered hill.
'7533': An empty bathroom without blue walls with the lights on.
'7534': Two friends throwing a volleyball and a frisbee on a sandy lot.
'7535': A man in a green shirt stands by a girl holding a piece of cake
on a plate.
'7536': A person riding a wave on top of a surfboard.
'7537': The bedroom is littered with garbage on the floor.
'7538': A man and a child are drinking beverages from red bottles.
'7539': A sliced pizza sitting on a table next to a frosted glass of water
and a glass of wine.
'7540': A small group of people standing outside of a red and white room.
'7541': A man in a purple shirt and matching hat looking pensive.
'7542': A person holding a smart device in their right hand.
'7543': A street sign on a rural street with a sidewalk next to a river.
'7544': A cracked white pitcher holding flowers in a window sill.
'7545': A white cow that is standing next to a fence.
'7546': A woman holds a black dog while another woman watches.
'7547': A man walking with an umbrella near a railing above a river.
'7548': A large dining room lacks wooden cabinets and a marble counter top.
'7549': A shower that is made of material with sparkles.
'7550': Curious sheep on a large, well used pasture.
'7551': A black dog running with a red round frisbee.
'7552': A person holding a piece of food in front of a sign.
'7553': People sitting at tables outside a large clock tower.
'7554': The chair and rug are in the room with the fireplace.
'7555': A white and black cat looking up in the air in front of a desktop
computer and a lamp.
'7556': Several jets that are flying in the air performing tricks and fireworks.
'7557': Several babies are standing next to a box of apples.
'7558': Two giraffes have a big log in their enclosure.
'7559': A woman is sitting on an old metal bench.
'7560': A man and a woman pull an elephant out of a truck.
'7561': A herd of giraffe running across a flower-filled field.
'7562': A flat screen TV embedded in a restroom mirror next to a toilet
bowl.
'7563': a white table with a chocolate drink and a piece of brown cake.
'7564': Two adult pheasants flying slowly across a street.
'7565': A woman in a red skirt is about to catch a white frisbee.
'7566': Overview of a pot of meat soup with wooden spoon on a stainless
steel stove top.
'7567': A bus and a few cars are riding in the rain.
'7568': A young man kissing the top of a grandmother's head.
'7569': Two dogs running and playing in the sun.
'7570': A man and child sitting on a street with fruits in baskets and flowers.
'7571': 'a piece of yellow cake with white frosting on a paper plate '
'7572': a big teddy bear sitting next to some boxes
'7573': Two dishes of food and several blue arrows and napkins are on the
table.
'7574': A delivery truck travels along the road by a hill side.
'7575': A woman catching a green Frisbee next to a field.
'7576': A black and brown dog is wearing a heavy leather collar.
'7577': A man with black hair and a top hat
'7578': A bear sleeps in a hammock made of heavy canvas and a wool blanket.
'7579': A sandwich with a swirl of sauce on top.
'7580': A white plane hovers over the cloudy sky.
'7581': A pro plane and a jet play flying close to each other in the sky.
'7582': A small lunch box with various vegetables and a fork
'7583': A living room with two televisions and a fireplace decorated for
the holiday.
'7584': A very pretty living room with a small wooden dining table.
'7585': The two young girls are petting the two goats.
'7586': A small boat is floating in the water.
'7587': A laptop computer sitting on top of a wooden table next to a lamp.
'7588': 'two zebras standing close to a little one '
'7589': A person in a Santa costume sits around many children.
'7590': A woman sitting at a kitchen counter with a child and a dog is behind
her.
'7591': Two people watching wii in a living room.
'7592': A horse drawn vehicle and several carts pull up outside of a building.
'7593': A bedroom with the walls painted orange-red color.
'7594': Some cows are poking their heads out, eating all of the hay.
'7595': A dog is sleeping on an armchair next to a fridge.
'7596': A large black truck in a parking lot
'7597': 'A person in a black snow suit on a pair of skis in the snow. '
'7598': Two young girls in dresses sitting closely together.
'7599': A pizza with a slice missing is sitting on a pizza stand.
'7600': A little girl smiling for the camera with an umbrella behind her.
'7601': A crowd of people are walking through a covered sidewalk.
'7602': A bathroom with a big mirror next to the sink.
'7603': 'Some zebras are on a plain of sands and grass. '
'7604': A woman in brown shirt holding a hotdog by tables with umbrellas.
'7605': Closeup of a plate of food that includes chicken, mushrooms and
carrots.
'7606': A hand holding a child's pair of scissors and a pencil.
'7607': Those men are using controllers and this lady is watching.
'7608': A table with three plates with food and a man and a woman both holding
utensil near plates.
'7609': A kitchen island has a farmhouse sink on it.
'7610': A concrete platform is arranged in groups with luggage on it.
'7611': A salad is in a red container and has lettuce, tomatoes and bits
of carrots in it.
'7612': The skier is leaning back while jumping through the air.
'7613': A man sitting on the floor taking a picture of himself in a mirror.
'7614': A bridge in the distance with multiple different colored lights.
'7615': Two women are playing a Wii game at a banquet hall.
'7616': Half a cake and two plates of cupcakes on a table.
'7617': A man riding a skateboard along a sandy beach.
'7618': Looking down at the spectators and players after a basketball game.
'7619': A man riding a skateboard up the side of a ramp and through a hoop.
'7620': The chair, couch, and a rug are in the room with the fireplace.
'7621': A female tennis player with ball behind her, racket drawn back.
'7622': a long brown and white room with a kitchen
'7623': A man stands beside a large brown horse.
'7624': Two brown dogs walking in the field with their tails wagging.
'7625': A boy guiding a pony with a man riding on it.
'7626': A little kid sitting on top of a bed holding a remote.
'7627': A woman with a slice of pizza in her mouth next to another woman.
'7628': Man looking over paperwork while holding pen on desk.
'7629': A smiling woman in a hat is wearing sunglasses.
'7630': Men and children are gathered around a blue cake.
'7631': Two people sitting on a picnic blanket eating.
'7632': Many skiers are walking and skiing around the snow and trees.
'7633': A bear walks through tall grass near several trees.
'7634': A teddy bear is sitting near to a toy with pegs.
'7635': A lady holding an ice cream cone and a hotdog in an outside eating
area.
'7636': A person on a skateboard and scooter at a skate park.
'7637': The bathroom has a mirror and a porcelain sink.
'7638': A delivery truck travels along the road over a hill side.
'7639': The picture of a flower vase and a bed is displayed in the large
window.
'7640': People sit around a sparkling table that is covered in liquor bottles.
'7641': A street sign is pictured against a cement wall.
'7642': A pizza that is in a silver pan and sitting on a black surface.
'7643': A delivery truck and a bicycle travel along the road by a hill side.
'7644': The tennis player wearing a purple outfit is about to hit the glowing
tennis ball.
'7645': A clock fastened to a brick store front reads 10 after 10
'7646': A train car is open and shows the door on the other side.
'7647': An older woman riding a train while sitting under its foggy window.
'7648': The chair and couch are in the room with the fireplace.
'7649': A herd of giraffe standing next to each other against a stone wall.
'7650': A cat sitting on a bench in front of a house
'7651': A woman is cooking in an outdoor state of the art commercial looking
oven in the midst of a farm.
'7652': A Windows laptop with a corded mouse on top of a counter.
'7653': A bicyclist stopping on the road to take a picture
'7654': A street sign showing the intersection with Avenue of the Americas,
6th Avenue and Charlton St.
'7655': A yellow taxi cab sitting amidst tall buildings.
'7656': A pizza sitting on top of a plate with lots of white toppings.
'7657': A dreadlocked guy having a spill on his skateboard.
'7658': A little boy standing in a field below a kite.
'7659': A sandy dog is on a white beach while the sea foam washes ashore
behind it.
'7660': A man handing a monkey and an elephant a stick in an enclosure at
a zoo.
'7661': A man wearing a hat while standing in front of a bathroom mirror.
'7662': A man swinging his tennis racket while playing tennis.
'7663': Model of two cars with a man near a blue phonebooth.
'7664': Square pastries are stacked on a white platter.
'7665': A sink in a very small bathroom.
'7666': Many skiers are walking and skiing around the snow.
'7667': Three people sitting on a bench with a picnic basket in front of
a lake.
'7668': Cows grazing in a field with rocks in the background.
'7669': A man holding up what appears to be a vanilla dessert.
'7670': A bathroom with wooden floors and white walls.
'7671': A brown and white goat standing in front of an iron fence.
'7672': A herd of three cows standing on top of a green field.
'7673': A painting of a bunch of pottery at a very old store.
'7674': A skateboard that has its wheels on the floor.
'7675': 'A bathroom with a toilet, a plant, a stand and several footwear
on the floor. '
'7676': A man cuting a piece of cake while a person in costume stands behind
him.
'7677': Street signs going in every direction behind a yellow building.
'7678': Double-decker buses sit at the curb in front of an old building.
'7679': 'A lunch box of some sorts is placed on the table. '
'7680': A strange bird perched on a banana tree.
'7681': A man is pretending to hit a statue of a giraffe.
'7682': A residential street has an orange no parking sign near a sidewalk.
'7683': 'a painting of some colorful flowers on a table '
'7684': A woman is typing on a laptop on a wooden table.
'7685': A person on a surf board riding a wave.
'7686': Several plaid and red umbrellas opened on a dreary day with a sunbeam
shining through the clouds.
'7687': A brown bird has a small yellow head.
'7688': A woman sitting alone on a park bench in a park.
'7689': Several snowmobilers race down a hilly landscape covered in snow.
'7690': a man standing on rocks near a man riding horses on a trail in the
woods
'7691': A red fire hydrant is on the sidewalk next to a sign.
'7692': A person sits in a chair in a living room next to some windows.
'7693': Many people flying kits under a party cloudy sky.
'7694': A yellow and blue bird flying in a gray sky.
'7695': A man on a striped board leaning against shorts on a beach.
'7696': A curly-haired woman in a blue top with headphones and two cellphones.
'7697': A painted individual is in the open view in the picture.
'7698': A kitchen with a table and a sofa.
'7699': A group of boys in jackets holding a chalkboard.
'7700': A young boy is posing in a small grassy area.
'7701': a couple of men in ties are outside
'7702': A car and a truck on a city street.
'7703': 'A room with a desktop computer and a picture of a mummy. '
'7704': The vanity is decorated with a red flower arrangement, glass candles,
perfume bottles, and a book.
'7705': A black road bicycle and a hula hoop are leaning against a bed.
'7706': Aerial view of an airplane ascending in to the sky.
'7707': A man kicking a soccer ball during a soccer game.
'7708': A guy wearing glasses, a red shirt and a tie.
'7709': A man purses his lips while holding up an orange in front of his
face.
'7710': A black cat that is sitting in a sink.
'7711': A couple of large elephants standing next to a baby elephant.
'7712': A couple of children sitting in front of a toybox and a blanket.
'7713': A man holding a piece of food by a string.
'7714': A woman taking a picture in a side car mirror with her cell phone.
'7715': A man puts a red bottle up to his mouth.
'7716': A colorful plate with a donut and napkin sculpture.
'7717': A young boy is holding a baby with another woman beside him.
'7718': A dog laying down on a blue comforter with pink sheets.
'7719': Some oranges in a glass fruit bowl on top of a wooden table.
'7720': 'Many small children are posing together in the black and white
photo. '
'7721': Four men dismount their horses near a body of water.
'7722': A man and woman playing a video game while holding hands over their
heads.
'7723': The garden is clean and ready for us to see.
'7724': Two brown bears swimming together in the water next to a canoe.
'7725': A cat is sitting next to a bathroom sink.
'7726': A black cat laying on a white lap top.
'7727': a couple of horses are standing in the street
'7728': A solitary person on skis at the peak of a mountain.
'7729': A plate holding a blue sandwich on a mat.
'7730': Bread in a paper bag on top of french fries in paper container with
a drink on the side.
'7731': Several different pieces of electronic equipment and computers are
under a desk.
'7732': A group of people wait in a blue reception area.
'7733': An upside down girl picking up a little umbrella by its handle.
'7734': A woman holds her small child in her lap.
'7735': A fold out sign sitting on a rainy sidewalk.
'7736': Black and white photograph of a tractor on beach next to boats.
'7737': A child with a messy face eating a plate of food with hands
'7738': A herd of cattle walking down a road being followed by a cowboy.
'7739': A goat stands on its high legs and leans against a grassy bank.
'7740': Small bedroom with a couch and dresser with a small monitor on top
of it.
'7741': A pretty red white and blue parking meter by a flower bed and some
shrubs.
'7742': A man opens a fire hydrant and brown colored water is flowing out.
'7743': An elephant standing in a shaded clearing next to a river in a wooded
area.
'7744': Man blowing out brown candles on top of a white cake.
'7745': A football game on TV reflects in a foggy bathroom mirror.
'7746': A woman standing in front of some Clysdale horses in front of some
houses.
'7747': A man holding a baseball bat while standing on a baseball field.
'7748': A clean kitchen counter with a clean microwave.
'7749': Two monitors and a laptop sit on a desk in front of a empty chair.
'7750': Several cows, a horse, and a rabbit are eating hay.
'7751': A group of zebra standing next to each other on a dirt field.
'7752': A freckled man and woman in ski gear standing in front of a mountain.
'7753': A kite surfer gets high in the air while his kite is out of the
picture frame.
'7754': A woman throwing a ball while smiling and on a field.
'7755': 'Black cat with green eyes sitting in a bathroom sink. '
'7756': A small dog laying on a bed next to a laptop computer.
'7757': A group of people who are standing together.
'7758': A living room has white furniture and fire place.
'7759': 'A bathroom with a glass shower door, a toilet and a towel handle. '
'7760': A formation of birds flying through a blue sky.
'7761': Rows of cylindrical cakes for sale in a bakery, seen behind glass.
'7762': A sink and some shelves are in this small bathroom.
'7763': A man in a striped suit stands in front of palm trees.
'7764': The room has red wall, white carpet and matching furniture.
'7765': A living room has a furniture and white fire place.
'7766': A man and a woman standing in front of a mirror.
'7767': Assorted fruits are arranged on a white platter.
'7768': Green plate with blue, white, and red vegetables on it.
'7769': A modern living room with a christmas tree moved away from the window.
'7770': A domed airplane tower is next to a parked building.
'7771': On a city road there is lots of taxis and a bus.
'7772': Several flowers planted next to a wall.
'7773': Two cellphones and a book are sitting side by side on the table.
'7774': A brown teddy bear is in a hammock.
'7775': A gentleman is waving a flag at people passing by in a train.
'7776': A man and a woman hold a controller and keyboard with their hands.
'7777': A tripod and a microphone sitting next to a laptop.
'7778': An older man snowboarding down a slope.
'7779': A boy wearing yellow is holding a pizza in a box and a basketball.
'7780': The hand of a person picking up the last two pieces of pizza and
a soda can.
'7781': A group of people running down a mountain road.
'7782': Two zebras and another animal grazing in the grass.
'7783': A silver obelisk stands in the middle of an ornate building.
'7784': A giraffe stares into the camera while standing on green grass in
front of a shade tree.
'7785': A couple of silver cars parked around a fire hydrant.
'7786': A street corner is boarded by unpainted walls.
'7787': A lot of sheep are running on a grassy area.
'7788': 'A man sitting on a bench surrounded by trees. '
'7789': Sheep are on a grassy field and one of them is a white and black
baby.
'7790': A small bird sitting on the back of a wooden bench.
'7791': An elephant standing under the shade of a tree.
'7792': A girl puckers up as she holds a large orange in her hand next to
a man.
'7793': A hand with finger on a blender that is empty.
'7794': A shower and a toilet that is in a small bathroom.
'7795': Two people posing next to a giant statue with a suit case.
'7796': A person in two toned jeans sits on the back of a bench.
'7797': A guy trying out a game at a trade show.
'7798': A white plate with some broccoli and tofu.
'7799': People are running in the park and walking.
'7800': A dining table without cakes and a tv monitor.
'7801': Two men are in a car and a third is on a scooter.
'7802': A young girl who is brushing her teeth with a toothbrush and drying
her face with a towel.
'7803': A baseball player pitching a ball on a field,
'7804': A lot of girls ski in the snow.
'7805': A red and white plane sitting on a runway.
'7806': Two people are swimming in the ocean with several empty chairs and
an umbrella on the beach.
'7807': A stop sign on an intact post across the street from houses.
'7808': A full size bed with mosquito netting above, all in neutral colors.
'7809': Empty cake and lavishly decorated drinking glasses await their tropical
guests.
'7810': A dinner plate that has multicolored steamed rice with stir fry
vegetables and chicken.
'7811': People and a train pass by a boat near a lighted bridge.
'7812': 'a couple sitting at a table with a couple of pizzas '
'7813': A man holding an umbrella on a sidewalk next to a car.
'7814': A cat jumps on a table drinking water out of a glass.
'7815': The boy is looking back at a dolphin jumping in the waves of the
ocean.
'7816': Girls wash a motorcycle while men look on.
'7817': A country-style kitchen with white tile and red cabinets.
'7818': A crowd of people sitting down next to each other.
'7819': A woman playing tennis with spectators behind her.
'7820': A grandmother with a kite is standing on a sidewalk.
'7821': A bird with colorful wings and head perched in a tree.
'7822': This dog is riding behind a man on a skateboard.
'7823': A table topped with a large white frosted cake sitting next to small
pastry.
'7824': A man taking a picture of himself in the rear view mirror.
'7825': A decorated belt saying "Reel Big Fish".
'7826': Garbage and police trucks on a city street
'7827': A white and black cat laying on a black blanket next to a remote.
'7828': A trolley filled with balloons is being pulled by a white horse.
'7829': A plane flies over some buildings.
'7830': A large airplane sitting next to two boats on an ocean side.
'7831': Giraffes leaning down to drink at a watering hole
'7832': Scene of sinks in the process of being completed
'7833': A fluffy bird perched on top of a tree branch.
'7834': A gazelle is running through the green shrubs.
'7835': A table with a plate, wine-filled glass, and bread, among other
items
'7836': A young man in sunglasses and a yellow shirt is preparing to serve
in a tennis match.
'7837': Two zebras and a different animal grazing in the grass.
'7838': A man and a child opening a fire hydrant on a city side walk.
'7839': 'Two men playing a video game in the house. '
'7840': A white couch, books and shelves and a tv on in this room.
'7841': A cow with short hair stands under a fence.
'7842': A young man swinging a baseball bat in front of a catcher.
'7843': An elderly woman seated at a table holding three pizzas.
'7844': 'Two giraffes standing outside near a building. '
'7845': Three beautiful young ladies eating one slice of pizza.
'7846': A man talking on the phone looks in the distance.
'7847': One zebra resting its head on the spotty back of another.
'7848': One giraffe resting its head on the back of another.
'7849': Several broccoli plants planted next to a wall and a bench.
'7850': A bear sitting next to a log with a really long tongue.
'7851': A grey colored cat that is knocking over a glass of water.
'7852': A group of zebras stand in front of a group of trees and a camel.
'7853': 'A hand holds an iPhone displaying various applications. '
'7854': People are getting off a boat on a sandy island.
'7855': There is a platter with a salad on lacey white linen.
'7856': A black and white image of people sitting near a santa
'7857': A little kid is throwing a water balloon.
'7858': View of a very messy bedroom with multicolored boxes and bags covering
the floor.
'7859': There is a fireplug at the corner of this intersection near the
shopping mall in town.
'7860': A bathroom sink with a towel rack, toothbrush and a mirror.
'7861': The taco shell is filled with carrots and greens.
'7862': A grey and white rabbit lays in a sink.
'7863': A man wearing a striped white shirt and tie standing in a room.
'7864': A brown doll sitting at a table with colored pegs.
'7865': A clock sits above green bushes under purple mountains and a blue
sky.
'7866': An armchair and a full size bed with mosquito netting above, all
in neutral colors.
'7867': A lower shot of someone carrying their skateboard.
'7868': There is a street sign for W. Centre st. and a traffic light on
the corner.
'7869': Nice furniture is scattered around a fancy looking house.
'7870': A globe is shown next to computer screens.
'7871': A DJ and a skateboarder are turning their board at the top of a
ramp.
'7872': 'A cat laying on a blanket on top of a pillow. '
'7873': A computer sits on a desk by a printer.
'7874': A colorful public restroom with striped walls, a yellow counter,
and a beautiful mural painting.
'7875': A man skis using a sail in an open snow-packed field next to an
igloo.
'7876': The boy and girl are making pizzas and salad together.
'7877': Two naked babies on training toilets with a rubber duck in a bathroom.
'7878': A metal cup filled with paintbrushes and two ladels.
'7879': A skateboarder riding his board down the sidewalk.
'7880': A white sink in a small, marble bathroom.
'7881': A kid stands in the snow next to his skis.
'7882': A boy and a man playing with kites on the beach.
'7883': A boy playing baseball about to hit a ball.
'7884': A group of people standing on a field flying a colorful kite.
'7885': A man riding a bicycle with a curly-haired boy on the back of it.
'7886': A group of people on a multicolored street area with one person
holding a bust umbrella over head.
'7887': A large tusked elephant resting in a wooded area.
'7888': 'A filtered image of a microwave available to use in a store. '
'7889': A cowgirl and a man are riding horses in an open field.
'7890': A group of basketball players walking on the court
'7891': People are sitting in chairs next to phones and computers.
'7892': There is a yellow notebook on a red table.
'7893': A sink, some shelves, and a bathtub are in this small bathroom.
'7894': A man in a wheel chair who is dropping a baseball bat.
'7895': A woman with a hat, tie and striped halter smoking a long cigarette.
'7896': A bus driving in a city area with traffic signs.
'7897': We see a double decker bus wit a compartment in the side.
'7898': A hand holding a spraying hose to a toilet bowl in a spacious toilet
stall.
'7899': A beige teddy bear and a lamp are sitting on a chair.
'7900': A passenger jet is flying over some trees.
'7901': Adult giraffe standing next to young one by the huge building.
'7902': A very old red truck that is parked on some grass.
'7903': A calico cat drinks water beside a faucet.
'7904': A bedroom with a desk, blanket, and some pillows.
'7905': A fire hydrant near a tall bush in a hilly field.
'7906': a bathroom with a mirror and a sink
'7907': A hand holding a pencil.
'7908': A group of squirrels running down a street next to tall buildings.
'7909': A lady using a knife and fork to cut a deep-dish pizza.
'7910': An airplane and a helicopter are at an airport with yellow hoses
by them.
'7911': Three people standing far from one another with an umbrella.
'7912': A woman that is holding a book sitting on a bed.
'7913': a bathroom with a toilet and a lot of ski boots
'7914': Two hot dogs on a white tray with a piece of parsley.
'7915': A very pretty kitchen with a small wooden dining table.
'7916': A few meters and suitcases are sitting near an Air plane.
'7917': A bald man in a florescent green hoodie holding a fuchsia umbrella.
'7918': The orange handles on scissors are sticking out of a holder.
'7919': A child is holding up a half eaten pastry.
'7920': A child holds a spoon and looks at a cupcake.
'7921': Woman playing Nintendo Wii in font of business people in office
'7922': A hand holding a spraying hose away from a toilet bowl in a small
toilet stall.
'7923': three different donuts one is pink one is green and one has white
sprinkles.
'7924': A living room with a big table away from a book shelf.
'7925': A man in black carrying a sheep on his shoulders.
'7926': Many color photos of an orange train on the tracks.
'7927': A clock tower next to a large building and a park in a city.
'7928': The batter is tapping his bat on a cracked home plate.
'7929': A woman and a boy are getting food off of a table, with a purple
sweater on.
'7930': A vase with purple iris's sitting next to a cracked ceramic pitcher.
'7931': A man riding a snowboard on top of snow covered ground.
'7932': A cat and a fish are in a bathroom sink next to a mirror.
'7933': A covered in frosting toddler celebrates his birthday with a cupcake.
'7934': People walk down a busy city street, with traffic light.
'7935': A grey and black striped plane on a runway with trees in the background.
'7936': A couple of horses are crossing the street.
'7937': A woman stands by a bench as people walk down a sidewalk.
'7938': A man riding a brown horse in uniform next to tall green trees.
'7939': Two men playing a game with a Nintendo Wii controller.
'7940': a man handing an elephant a stick in an enclosure at a zoo
'7941': A row of refrigerator freezers sitting next to each other.
'7942': A table with sandwiches, chili, salad, and a drink.
'7943': A girl and a doctor are in a hospital room with a hospital bed,
IV, and monitors.
'7944': The business and street signs are obscured from view.
'7945': A truck is shown with another car in the back of it.
'7946': Man works on laptop as three others work in a garden.
'7947': A table topped with a white plate covered in three donuts.
'7948': A highway with a green exit sign and a red traffic sign.
'7949': An ornate three frame photo combination showcases two types of pie
on the right and left side with a coffee in the middle.
'7950': Some people chilling on the floor playing with a Nintendo Wii.
'7951': A grey and orange fire hydrant next to a street.
'7952': An elephant is alone in a wooded enclosure.
'7953': A bunch of pottery and an umbrella sitting on a sidewalk.
'7954': Camels grazing in grass in the mountains.
'7955': Baseball players taking baseball bats from a wall.
'7956': Two people playing wii in a living room.
'7957': A very tall clock tower sitting next to a tall glass building.
'7958': 'The end of a computer keyboard and a blue-illuminated black wireless
mouse sit on a table. '
'7959': A monkey uses a black computer keyboard on a wooden desk.
'7960': A surfer paddling on a board to go catch a wave.
'7961': A bathroom with ski equipment laid out on the floor.
'7962': A woman standing at a kitchen counter pouring something from a measuring
cup and holding a spatula.
'7963': A tractor and two boats far from the water.
'7964': A couple of people sitting on top of a wooden bench next to a lamp
post.
'7965': A white toilet sitting in a bathroom next to a shower.
'7966': An outdoor farm area with cows in individual stations sitting and
standing on hay.
'7967': A man is feeding an elephant and a kangaroo over a fence.
'7968': A woman sitting on ledge with three pigeons, with gate railing,
trees, and base of the Eiffel Tower behind.
'7969': A white bus without a bicycle rack parked on the side of a street.
'7970': Various sink cabinets stacked in a warehouse.
'7971': A young boy with a balloon and a spoon looking at a birthday cupcake.
'7972': 'A West 32nd sign under a Korea Way road sign. '
'7973': Large work trucks and a bus are sitting on the side of the street.
'7974': A flower vase in a white lighted bathroom.
'7975': An elderly woman seated at a table holding three burgers.
'7976': A close up of a grill with apple slices and doughnuts.
'7977': 'A group of young boys playing soccer on s field. '
'7978': A man standing in the street with a umbrella.
'7979': Another large, ornate skyscraper rises above a clock tower.
'7980': A herd of sheep grazing on a pile of hay next to a tractor.
'7981': A row of vending machines and several refrigerators are lined up
by a wall.
'7982': A woman is sitting on a bench near a fence and a flowerpot.
'7983': A train with lights on traveling on train tracks.
'7984': An elephant leads a baby elephant towards a door.
'7985': 'a cat laying on top of a chair in the living room '
'7986': A man stands behind a bus in a snowy forest at night.
'7987': An elephant is walking through the green shrubs.
'7988': A kitchen with a pantry and a table with chairs.
'7989': Looking down at a desktop with a television, a key board, mouse
and cell phones on it.
'7990': Within a bathroom with a mirror in the foreground.
'7991': A young woman standing in the kitchen pours from a large measuring
cup.
'7992': A stone building with a blue door on it
'7993': A taxi is shown that is not in service.
'7994': A little boy feeding french fries to a woman at a restaurant.
'7995': An elephant standing in the middle of a rocky environment.
'7996': A man skiing down a foggy hill by himself.
'7997': A clock and a fountain are attached to a brick building.
'7998': A burger with lots of cheese on a flat brown surface.
'7999': A tennis court has a few people and umbrellas in the bleachers.
'8000': A couple stands by a couch while playing wii.
'8001': A yellow dog runs to grab a yellow frisbee near the grass.
'8002': People are sitting in chairs on phones, computers, and reading magazines.
'8003': A man and a child are walking with an umbrella near other pedestrians.
'8004': A white boat sitting on top of a lake.
'8005': a van parked in a outdoor parking lot
'8006': A plate filled with pastry is on a table next to a chair.
'8007': An orange cat with green eyes sitting in a bathroom sink.
'8008': A table with five red cups, a pineapple and some oranges on a plate
'8009': Children are playing near a beach and a pier at sunset.
'8010': A herd of cattle are grazing in a green field.
'8011': An ornate obelisk stands in the middle of a golden building.
'8012': A cyclist doing tricks on the rim of a pit.
'8013': A man opens a fire hydrant and clear colored water is flowing out.
'8014': A cat with pink eyes sitting on a blue bed.
'8015': A woman with two young children at a table
'8016': A lush green train traveling past a train station next to a blue
mountain.
'8017': A pizza that is in a silver pan and sitting on a white surface.
'8018': Three birds huddled together near a river in an open field.
'8019': a woman in a blue dress some black chairs and another person looking
in an oven
'8020': A red fire hydrant is sitting in the woods near fallen leaves.
'8021': A person ice skating on a winters day.
'8022': A plate topped with noodles, a fork, and a spoon.
'8023': The man is listening on his cell phone
'8024': Three remotes sitting on top of a mattress.
'8025': A young man pushing a skateboard with red wheels.
'8026': A fire hydrant and a balloon are decorated with an American flag
design.
'8027': Old style car and trolley going down a modern street.
'8028': A woman and a dog sit on a motor bike with a cart extended.
'8029': Two cooked hot dogs on a plate with parsley.
'8030': 'A man on a surfboard riding a wave '
'8031': A sail boat surfing in the ocean with a man behind it.
'8032': A white bird sitting on top of a frozen lake.
'8033': a white cake is by a bunch of flowers
'8034': A pizza is being enjoyed by people with various toppings on it.
'8035': 'The business and street signs are clearly visible. '
'8036': A sky view of a solitary plane flying in the sky.
'8037': A few men eating an assortment of foods at a table with a painting
hanging on the wall behind them.
'8038': A man and a woman in white shirts and shorts are playing a game
of tennis.
'8039': 'A small two tier wedding cake is embellished with red flowers,
on a table with stemware artfully arranged. '
'8040': Two stuffed animals are sitting on a broken plastic chair.
'8041': a street corner is boarded by painted walls
'8042': A couple of zebra standing on top of a rock and near a waterfall.
'8043': A large group of zebras graze in the grasslands of africa
'8044': Two smoothies are on display on a plate with a fruit garnish.
'8045': A woman taking a selfie while eating pizza.
'8046': A woman in a florescent green hoodie holding a fuchsia umbrella.
'8047': Two plates of pizza and a drink beside a wooden table.
'8048': Two airplanes having a close call in the sky.
'8049': A boy with a kite and a balloon is standing on a sidewalk.
'8050': A cute girl in pink and a boy are playing a video game.
'8051': A man in uniform riding a camel by a fence.
'8052': A young man with a slice of pizza in his mouth.
'8053': A boy covered up with his blanket holding the television remote
'8054': A building wall and pair of doors that are open, along with vases
of flowers on the outside of the building.
'8055': A bathroom with orange plain wallpaper and a mirror.
'8056': Cattle lie in the grass to chew their cud.
'8057': Black and white sheep in hay next to wooden fence.
'8058': A woman in a red jacket skiing down a slope
'8059': A decorated neck tie saying "Reel Big Fish"
'8060': Several propeller planes flying in unison in a V formation.
'8061': A row of parking meters line a street in front of a bicycle and
a stop sign.
'8062': A person laying on the ground in a bathroom near a toilet and a
mirror.
'8063': A small child wearing a tie stands with his luggage.
'8064': An empty bathroom with blue walls on the lights on.
'8065': A very crowded sidewalk with a crooked light pole.
'8066': A laptop computer and a lamp are sitting on a desk.
'8067': Man and son standing on the beach side with a self assembled kite.
'8068': A man sitting cross legged behind a mirror on the floor taking a
self portrait.
'8069': Men keep watch on a herd of goats.
'8070': A photo of bright pink gloves on a blue and green background.
'8071': A photo of a green truck parked in grass.
'8072': A man smiles watching a rider approach with two horses.
'8073': A bright evening with a green street light shining.
'8074': One person is eating chilli and a grilled cheese and the other is
having a sandwich and fries.
'8075': A person operating a laptop and reading a book on a bench.
'8076': A collection of kitchen utensils in an ornate metal bowl.
'8077': A child holding an older model of a smart phone.
'8078': a couple of young kids are sitting together
'8079': A couple is sitting at a table talking.
'8080': A group of giraffes and a lion drink water in the wilderness.
'8081': A white and brown dog wearing a chain around its neck.
'8082': A man with a helmet on riding on a non-motorized skateboard.
'8083': A display case in a bakery filled with cupcakes and donuts.
'8084': A giraffe reaching up to some tree branches
'8085': A giraffe extends its long tongue while yawning.
'8086': 'A variety of street signs on a light post in front of a tall building. '
'8087': A cake with cream topping and chocolate sprinkles on the plate.
'8088': A room empty of furniture and very large rugs.
'8089': A sign with roses on it is advertising a tea room.
'8090': A couple waits in a red reception area.
'8091': Cat sitting on a bed in a room facing the television.
'8092': A dog is sitting on a neatly made bed while someone and a teddy
bear look on.
'8093': A herd of zebra standing next to each other against a stone wall.
'8094': 'A man sitting on a bed flipping through pages of a book. '
'8095': Two cats are sitting on a pair of shoes outdoors.
'8096': Three zebra, four giraffe, and a monkey are inside a fenced area.
'8097': A blue train traveling past a train station next to a lush green
mountain.
'8098': Several sheep and a horse are eating hay.
'8099': two people playing video game while standing one in purple is smiling
'8100': A vanilla frosted donut on a plate with a cup of coffee and a penguin
napkin holder.
'8101': 2 pair of suitcases sit on the floor in front of a blue shoe.
'8102': A zebra and a giraffe out and about eating some grass.
'8103': A pillow covered reading chair and a blanket are in the corner of
the living room.
'8104': A man is falling down the snowy hill.
'8105': A baseball player bobble head next to two computer monitors and
a lamp on a desk.
'8106': there are two plates of food and a beer in the middle of the table
'8107': An old man sitting on a bench in a public park.
'8108': A little girl laughs and runs with a sparkling kite in a grassy
park.
'8109': A clock tower stands behind a large mirrored sky scraper.
'8110': A group of people and a mattress are in the back of a dump-truck.
'8111': Two zebras are battling each other on hind legs.
'8112': A woman showing off her pink pointy-toed heels.
'8113': 'A young man and a small boy are talking about a piece of pizza. '
'8114': A baby and a Teddy bear hold a toothbrush in their hands.
'8115': A zebra standing next to a zebra laying on the ground.
'8116': A kitchen and dining area decorated in white with artwork in the
dining area.
'8117': The woman is enjoying playing a Wii interactive video game.
'8118': a man plays tennis in front of a large audience
'8119': A girl stands on a orange tarmac between airport cones in front
of an airplane being boarded.
'8120': The large bear is made up of rocks and clay.
'8121': A desk with a computer, computer keyboard, mug, empty plastic bottle,
red pen, and a laptop.
'8122': Several planes are in the sky as one is parked on a runway.
'8123': A collection of sinks, basins, and mirrors are on display.
'8124': A young child smiles on a scooter in an historic photo.
'8125': A jet plane and a mountain range.
'8126': A large tusked elephant walking in an open area.
'8127': A horse in a pasture of tall grass observing a gray energetic dog.
'8128': A close up of a bathroom sink with soap and toothbrushes.
'8129': A brown horse walking through a leaf covered forest.
'8130': Two horses in an enclosed area during the day.
'8131': A man eats from a handheld dish while holding a green radio.
'8132': A man standing in front of a fruit stand containing several bunches
of bananas.
'8133': A surf board holding a person in a body of water.
'8134': Three men standing around a table eating breakfast.
'8135': A group of four flamingos standing in different positions.
'8136': An empty clean kitchen with cabinetry, a digital stove, and a dishwasher.
'8137': A statue with two stuffed animals next to it sitting in a patch
of dirt.
'8138': A woman talking on a phone sitting next to glasses.
'8139': A soccer player kicking a ball on a field.
'8140': A hand is dropping a carrot for a llama to chew.
'8141': A group of people sitting on a field under a cloudy blue sky.
'8142': A baseball player swings his bat while a ball floats above his head
towards the catcher and umpire.
'8143': A colorful picture of a rack full of doughnuts.
'8144': This is a rubber duck and a stuffed animal on a toilet seat.
'8145': He was holding the baby on his couch in the living room.
'8146': A woman sitting on a standard chair beside a vase.
'8147': Cows are grazing in a pasture with wet birds.
'8148': Two brown bears sleeping next to each other while laying on a log.
'8149': A giraffe and two zebras are standing in a field.
'8150': 'a blue bike parked on a side walk '
'8151': There are women that are laughing next to the umbrella.
'8152': Two people on skis in front of ski lift.
'8153': A herd of elephants and a zebra are walking down a path in some
tall grass.
'8154': Two teddy bears a pink one, and a tan one. The tan bear is wearing
a pink shirt that says the harvey girls.
'8155': 'A man with glasses looking at himself in the mirror with a toothbrush
in his hand. '
'8156': The woman is riding the large brown horse.
'8157': A metal cup filled with scissors and two ladels.
'8158': A woman in a blue dress is standing next to a weird chair.
'8159': A bedroom with a small bed placed next to a desk and a two windows
on the opposite side.
'8160': An elephant rests in his exhibit at the zoo.
'8161': A box of pastries is sitting on a table.
'8162': A child wearing a baseball cap with a remote control and a sippy
cup.
'8163': A skate board rider skating on the wooden edge of a ramp.
'8164': two people sitting on a bench next to the ocean
'8165': Several students sit at a conference table with their laptops and
a plant.
'8166': A kid sitting on a couch with a remote.
'8167': A man throwing a ball while smiling and off a field.
'8168': A skyscraper with a clock stands in front of a tall tower.
'8169': A kitchen with a sink, dishwasher and boxes on the counter.
'8170': Four bowls of different eatables are kept on the slab.
'8171': A woman in brown shirt holding a hotdog by overcrowded tables with
umbrellas.
'8172': An old doctors office with two windows with lace curtains.
'8173': A tall bus parked in front of a blue building.
'8174': Two cats are sitting on a polka-dotted pair of shoes outdoors.
'8175': An American flag painted telephone pole with chains hanging at its
side.
'8176': Some very nice looking planes in the sky.
'8177': The tennis player is walking on the court.
'8178': A goldfish is swimming in a sink.
'8179': One tray of rice and a wooden tray of fruits and veggies.
'8180': A serving of food and a fork on a white plate.
'8181': Various sink cabinets and toilets are lined up in a warehouse.
'8182': A small cat is sleeping behind a bike.
'8183': Two cell phones are sitting next to each other on a table.
'8184': The vanity is decorated with a glass flower arrangement and red
candles and perfume bottles.
'8185': A red tree with a doughnut hanging by a strip of plastic ribbon.
'8186': A group of people that are standing far from a tennis net.
'8187': A cat is playing with a ball in the grass.
'8188': 'a pregnant woman laying in bed reading a book '
'8189': A highway filled with lots of motorcycles and buses.
'8190': The bowl of noodle salad has broccoli and meat in it.
'8191': A bus parked to the side of an empty road with a bicycle leaning
against a nearby tree.
'8192': A man sitting on top of a green bench with a tennis racquet.
'8193': This is an advanced toilet with a sink and control panel.
'8194': A toothbrush is being pushed against the stuffed animal and a book.
'8195': A man wearing glasses eating a hamburger.
'8196': A silver shelf holds different sized blue vases.
'8197': Two penguins swimming together in the water.
'8198': Various books and plates displayed next to a woman.
'8199': A large white polar bear playing with a rubber duck in water.
'8200': The small bathroom has an automatic toilet with a black seat.
'8201': A black puppy playing with a hand as it sits on a black suitcase.
'8202': Large commercial cargo plane sits on tarmac next to radar equipment.
'8203': 'An umbrella on a backyard patio is upturned from the wind. '
'8204': A vintage army prop plane in front of a vintage red car.
'8205': A little girl and a boy walking along a row of orange cones.
'8206': A corner of a living room with a TV in it.
'8207': Several cows and a horse are eating hay.
'8208': 'A woman holding a book about the topic fun.
'
'8209': A professionally dressed man walks towards the camera.
'8210': 'Kitchen appliances outside a building with yellow doors. '
'8211': Two women have stopped to pet the llama.
'8212': An antique green pickup truck is parked in a field of flowers.
'8213': Number of street signs in front of a big building.
'8214': Two large zebras inside a fenced area stand together near many rocks.
'8215': Two large bears fighting or playing on a raft in water.
'8216': Two boys riding on a single bicycle on a beach boardwalk.
'8217': A man is falling off a skateboard along a sandy beach.
'8218': A woman is holding a baby who is wrapped in a towel and holding
a toothbrush
'8219': Colored statues show off clothing beneath a headless background.
'8220': A beach area with boat umbrellas and grass in the distance.
'8221': The young boy is flying his surfboard and kite on the beach by the
water.
'8222': A woman and a child carry a box of bananas down a crowded street.
'8223': A little cat is sitting on the glass table and watching TV.
'8224': A brown and white dog standing next to another dog.
'8225': A vase is filled with a bouquet of roses.
'8226': Children in front of a couple of blankets are sitting.
'8227': A flat screen television next to an older tube television.
'8228': A man and a child on a sidewalk holding a zebra strip umbrella.
'8229': a close up of a toilet and a bath tub with toys
'8230': This boat has docked next to a wooden pier
'8231': A bathroom without a toilet and a lot of ski boots.
'8232': A black and white photo of a group of kids and a puppy.
'8233': The metro train is painted white with blue lettering.
'8234': The scissors, pens, markers, and tape sit in containers on the desk.
'8235': A black stuffed animal sitting next to a toilet in a bathroom stall
with blue floor tile.
'8236': A single sheep in a field with a tree, looking back at the camera.
'8237': A wooden lamp post clock rises above a tall fence of a property
for sale.
'8238': Some black cattle are strolling through a green field.
'8239': 'The dinner on the plate is ready to eat. '
'8240': A baseball player dropping a bat, in a game.
'8241': Two women petting a few goats at a petting zoo
'8242': A dog is sitting on the sill of a back door window.
'8243': a man on a skateboard in the air coming on to a ramp
'8244': Young man on skate board balancing on concrete barrier near sidewalk
with small park area near by.
'8245': A person in jeans and two toned shoes sits on the back of a bench.
'8246': Two people swap their cell phones together at a party.
'8247': A young man is playing with a giraffe and a monkey.
'8248': A flashing street sign in front of a skyscraper.
'8249': Two men standing on the street wearing casual clothes.
'8250': A three door, stainless steel refrigerator under a wine cabinet.
'8251': A kitchen has a modern gas range and yellow walls.
'8252': 'a man wearing a top hat and a red tie '
'8253': 'A skillet on a stove with vegetables in it '
'8254': A cow grazing on the grass near a bus stop on the side of a sidewalk.
'8255': A dog sitting in front of a TV and laptop on top of a bed.
'8256': A man and a woman in suits stand near a table with computer equipment
on it.
'8257': Several white birds standing in a parking lot with an umbrella in
a puddle.
'8258': A woman sitting looking at her phone with a painting next to her.
'8259': 6 guys at a table with plates of food around them.
'8260': A sculpture of people standing in a line on a bench with their purses
on the ground while two women sit behind them.
'8261': A variety of desserts are being displayed for people to enjoy.
'8262': A building with a very pointy roof and a clock.
'8263': A cauldron filled with a soup with a lot of carrots.
'8264': A man that has glasses, a hat, and an umbrella.
'8265': Two girls with a large white teddy bear.
'8266': An abstract picture of an open air zone that looks incredible.
'8267': Searchlights in front view and a plane on a wide runway in the background.
'8268': A person holds a phone in a car with the sunroof rolled down.
'8269': A white sink and a dishwasher are placed in the middle of a constructed
kitchen.
'8270': People fly sparkling kites in a large park in the middle of a city.
'8271': A black and brown large dog sits on a suede upholstered chair.
'8272': A table with a notebook, calculator, and phone sitting on it.
'8273': The foot of a person on a skateboard is prominent in this photo.
'8274': A man with glasses holds a small child at a restaurant.
'8275': A burger under a table, with another next to it.
'8276': Some little stones and flower petals are sitting around a dime.
'8277': A yellow road bicycle leaning against a bed.
'8278': A place setting, excluding a burger, fries, a glass and condiments.
'8279': 'a blurry photo of a baseball player holding a bat '
'8280': A large helicopter sitting on a tarmac at an airport.
'8281': A group of women standing next to a layered cake.
'8282': An old advertisement shows a large kitchen with white cabinets and
appliances and yellow walls.
'8283': A large stack of trunks and luggage on a sidewalk with people behind
it.
'8284': 'A person cross country skis through the snow. '
'8285': A coffee table has two monitors and other equipment on it.
'8286': People in a store that is selling bananas and apples.
'8287': A model of two cars and a motorcycle with a man near a blue phonebooth.
'8288': An older man is wearing a funny hat in his dining room.
'8289': Multiple time pieces displayed on the ceiling and on a flat surface.
'8290': Many people walk through a park as few kites fly in the air.
'8291': A polar bear and a bird near a frozen small pond.
'8292': A bench is on a sidewalk next to some green bushes.
'8293': 'A pasta entree with broccoli on a white plate. '
'8294': People and dishes from cake at a children's party.
'8295': A woman sitting on a bench surrounded by trees.
'8296': A white umbrella that has been blown up the wrong way.
'8297': A flag and a gold trimmed clock on top of the roof of a building.
'8298': A traffic light on a tree by a metal pole.
'8299': A camera and microphone on a tripod are shown with a laptop.
'8300': 'A cat sitting on the man''s lap while the man types on the laptop. '
'8301': A steel BMW touring motorcycle parked in the street as people look
on from behind a yellow rail on the sidewalk.
'8302': A person is eating a gigantic pastry next to a chair.
'8303': A bathroom that features a bright tile wall and big mirrors
'8304': brown horse in green field with trees and fence
'8305': A collection of luggage that has been placed on a wooden carrier.
'8306': Assorted meal sitting on a tray with a white glass of milk.
'8307': A girl sitting on top of a couch under a pink blanket.
'8308': A kitchen filled with metal appliances, a window, and a painting.
'8309': Two small children hold a video game controller.
'8310': Some girls in some shirts standing by colorful pastries.
'8311': A blue plate with a burger on top of it.
'8312': A kitchen has wooden cabinets and black countertops.
'8313': A cat with blue eyes sitting on a pink bed.
'8314': A giraffe is walking in some tall grass
'8315': A brown and white sheep grazing in yard next to street.
'8316': Several round pizzas are sitting on square plates.
'8317': A white bus with bicycle rack parked next to an office building.
'8318': A group of small children are running down the field and playing
soccer near a swimming pool.
'8319': 'The large group of children are outside posing for a photo. '
'8320': A brown dog standing on a wooden bench near a lemon tree.
'8321': A pizza has been topped with ham near a large glass of wine.
'8322': People walking on sand next to a mountainous area.
'8323': Toiletry items are hanging from the edge of a sink.
'8324': Four surfers are trying to catch a wave as they stand while a seagull
flies overhead.
'8325': A car on a road passes a standing elephant.
'8326': A herd of cattle are standing and grazing in a field.
'8327': A restaurant with blue stools next to a bar and a red table.
'8328': A ham sandwich on a white plate without a kale garnish.
'8329': there is some type of flat bread with topping on the top of it
'8330': A variety of doughnuts scattered on a paper plate.
'8331': A bunch of sheep and a horse are walking around bored.
'8332': A couple of white bathroom sinks sitting next to a toilet and a
plant.
'8333': A woman attending an exposition about the future.
'8334': A young man is holding a slice of pizza with his mouth.
'8335': A white sink and a mirror are in a small, tiled bathroom.
'8336': Camera equipment is set up in a room with a poster and vending machines
in the background.
'8337': A white stove top oven with two tea pots on top of it.
'8338': Two women stand in the woods as one of them throws a Frisbee.
'8339': A man is bent over opening an oven.
'8340': A woman purses her lips while holding up an orange in front of her
face.
'8341': A few cows sleeping in a field near trees.
'8342': The bathroom has a wall sink, medicine cabinet, toothbrush holder,
bare walls, and a bathtub.
'8343': A orange cat is laying on a grey sofa.
'8344': Two people are at a computer desk with a chair and a mouse.
'8345': A man wearing a white shirt and tie standing in a room with a painting
on the wall.
'8346': A large brown dog jumping over a white wood fence.
'8347': A corner of a kitchen with a small fridge.
'8348': A skier in a squat position on skies skiing downhill.
'8349': A pancake with vegetables and maple syrup piled up on it.
'8350': Two cakes and a plate of cupcakes on a table.
'8351': A dog lying in an open suitcase.
'8352': White ornate seat in nicely decorated room with a painting.
'8353': A newspaper spread out on a made bed with a quilt and pillow.
'8354': A girl with a book and an umbrella in a chair.
'8355': A person is going up a snow covered mountain while a hot air balloon
floats in the distance.
'8356': Two trees standing next to each other on a ski slope.
'8357': Large running mower sitting next to two boats on a ocean side.
'8358': A man standing behind a fence looking at an elephant.
'8359': A couple of little girls sitting next to each other.
'8360': A man texting on a cell phone outside of a fast food place.
'8361': An image of a clock on a building.
'8362': A large clock and an umbrella sitting on a sidewalk in front of
a brick building.
'8363': Plate of crackers with something spread on them away from a keyboard.
'8364': A little girl and a parrot are smiling for the camera with an umbrella
behind them.
'8365': A little boy is running on the grass with a kite.
'8366': A woman surfer is riding the waves with sea turtles in the ocean.
'8367': this is an image of a plate of pizza with a toy bunny.
'8368': A little league baseball team in orange uniforms running towards
the camera.
'8369': A cat lying on a bench in front of a building.
'8370': A plate with a banana, grapes, and slices of cheese.
'8371': 'Cooking utensils are on the backdrop of a stove. '
'8372': A rooster walking on a beach with a surfboard near the ocean.
'8373': A herd of elephants being herded into a river while tourists take
photos.
'8374': Three people are sitting on a bench looking out at mountains and
a lake with a boat.
'8375': A parking meter has graffiti on it near a graffiti wall.
'8376': A close up of a platter of doughnuts.
'8377': A close up of a lion in front of a camera.
'8378': Several stands holding green bananas for sale.
'8379': 'A photo of a video game in the middle of a large mirror in a bathroom. '
'8380': 'a number of horses standing near one another '
'8381': A child brushing their teeth in a bathroom.
'8382': An old man is wearing an odd hat and holding an umbrella.
'8383': A person leaning up against a rainbow colored rail while holding
a metal umbrella.
'8384': This computer set up has two monitors and an ergonomic keyboard.
'8385': A skier posing on a steep snowy hill.
'8386': A roller chair, a sofa and cushions, and a wood luggage bag lie
by the side of the road.
'8387': A metallic bear is placed on a teddy sculpture.
'8388': A man sitting on the forest bench in the park.
'8389': A vase filled with yellow and white flowers.
'8390': Three people in casual uniforms and visors standing together in
front of various types of donuts.
'8391': A blue train on some train tracks about to go under a bridge
'8392': A tall lamp post clock rises above a wooden fence of a property
for sale
'8393': The brown dog is sitting near a silver dog bowl.
'8394': A large bird perched up on two tree branches.
'8395': A yellow taxi cab sitting below tall buildings.
'8396': A bath cat sits in a striped tub.
'8397': A man is beside his surfboard in the water.
'8398': A red boat anchored in front of a city scape.
'8399': A group of people sitting inside a bus.
'8400': A show floor with a shiny blue motorcycle surrounded by bars and
a helmet.
'8401': A boy stands at the top of a jump with his skateboard.
'8402': A group of kids at a table with a cake.
'8403': Two short boats are sailing near a large bridge.
'8404': A clock on a stand displays the time next to a fountain in a garden.
'8405': A cat is sitting on an armchair next to a fridge.
'8406': A red bench that is sitting on a sidewalk.
'8407': A marble table with a white plate holding soup and pizza.
'8408': An indoor farm area with sheep in individual stations sitting and
standing on hay.
'8409': A white bathroom sink sitting under a bathroom window.
'8410': A bathroom with a sink, bathtub, and a cat in a bathroom.
'8411': A young man wearing a suit and neck tie.
'8412': The couple are dressed up and holding flowers while posing for photos.
'8413': Some sort of sushi roll and broccoli spears are on the side of a
plate next to a chicken dish.
'8414': Two large airplanes flying through white clouds in a blue sky.
'8415': A group of zebras running across a field.
'8416': A lone cow laying on dry grass.
'8417': Children & one adult watching a kite fly in an open area.
'8418': He is cross-country skiing for the exercise it provides for him.
'8419': A sky view of several planes flying in formation in the sky.
'8420': 'A man, his arm across the woman next to him, stands in a blandly
colored kitchen area, in front of a black-rimmed window, next to a counter
with a microwave, plates, with and without food, and wine bottles. '
'8421': A big brown horse walking down a sidewalk near homes.
'8422': A vintage red car and a scooter are in front of a vintage army prop
plane.
'8423': A woman and a young girl holding a floral-patterned kite on a green
field.
'8424': A vase filled with yellow and white flowers and a picture frame
are on the table.
'8425': A woman skiing on a path by some trees.
'8426': Some baseball players sitting in a dugout watching a game
'8427': A building with a handcrafted clock that is in front of a building.
'8428': A man is in the ocean waves near his surfboard with a dog on it.
'8429': A child places his hands on the head and neck of a sheep while another
sheep shies away from his face.
'8430': Three ostriches standing in a sandy desert area.
'8431': A bird and a bee are standing on a piece of wood.
'8432': A smiling girl standing beside a sign that says "Princess Parking
Only".
'8433': A person on a skateboard in front of a building on a street.
'8434': PASSENGER TRAIN IN THE NIGHT HOURS WITH TWO SMOKING SIGNS, AND NO
WOMEN.
'8435': A kid sitting on a bed with a remote.
'8436': A chair and a beach ball are sitting near an umbrella and an ocean.
'8437': The boys are playing indoor soccer and they are running the ball.
'8438': An old woman and a boy standing besides an elephant smiling.
'8439': A surfboard carrying a person on the beach at sunset.
'8440': 'The little boy is drinking from a sippy cup and holding the remote
control. '
'8441': A woman uses her computer on a park bench.
'8442': A group of teddy bears holding kids and looking happy.
'8443': Two men wearing an orange construction jacket eating and standing
under a bright yellow umbrella.
'8444': A red bicycle pulled away from a red stucco building with a graffiti
covered door.
'8445': A plate of cheese bread next to bread sticks and wine.
'8446': A dog and a person are watching television apart.
'8447': There is a man standing near a river with a umbrella
'8448': A number of spotted horses standing near one another.
'8449': A man dressed in khakis standing in a bathroom next to the sink.
'8450': A messy room with a door and a picture frame on the wall above the
bed and chair.
'8451': A man sitting next to a woman in a gray dress.
'8452': A messy bedroom has one red brick wall.
'8453': Brushes with orange handles are in a container with pens.
'8454': A corner of a rest room with a mirror, cookie, and coffee.
'8455': Several vehicles and a horse drawn cart pull up outside of a building.
'8456': 'The model toys are positioned on the table. '
'8457': Two girls pet a goat that is in a pen.
'8458': A rusty red truck sitting on a grassy field next to other trucks.
'8459': The little boy is having fun playing at the computer keybord
'8460': A crowd of people and magicians sitting down next to each other.
'8461': A hot air balloon with a kangaroo on the tail wing is flying in
the sky.
'8462': There is a fire hydrant next to a red sign
'8463': A sleeping dog is on the floor hiding under a curtain.
'8464': A kitchen has black cabinets and wooden countertops.
'8465': A street lined with cones with people up and down the sidewalk.
'8466': The yellow truck drives through the tall grass in the forest.
'8467': Soccer players in orange and grey uniforms and a bottle of sports
drink on a field.
'8468': A couple men pat an elephant as a woman watches.
'8469': A building with a flagpole, a very pointy roof, and a clock.
'8470': A young man sits next to a laptop computer screen.
'8471': A strange plant hanging off a banana tree.
'8472': A shot of a young man inside a kitchen.
'8473': A hot dog is smothered with bacon, pickle-flavored onions, and mustard.
'8474': Business people playing Nintendo Wii in front of a woman in the
office.
'8475': A conductor pulling a wagon with a horse down the road.
'8476': Living room area of home with wood flooring and fireplace.
'8477': A young man is feeding a giraffe.
'8478': A table topped with pasta, chili beans and a container of fries.
'8479': A couple of elephants out in a barren large field.
'8480': A bus going to crosstown and a bicycle parked on the side of the
road.
'8481': A small child playing with some toys next to a field.
'8482': A blurry, leashed dog has its head outside of an unlocked car door
window as an open-mouthed park-like vista rushes by.
'8483': A giraffe stands underneath a tree on grass.
'8484': A bathroom with a sink, toilet, trash can, and a potted plant in
it.
'8485': A woman sitting at a bare table.
'8486': A flock of birds and a herd of sheep are walking across a lush green
field.
'8487': A dull metallic refrigerator in a brown colored kitchen.
'8488': A group of young girls playing soccer on a field.
'8489': A group of people flying kites on a paved field next to buildings.
'8490': A red plate holds on it broccoli, carrots, muffins, fish and meat.
'8491': A woman and a child are striking a ball with a racket.
'8492': A bedroom done in animal prints without red and black pillows.
'8493': The moon shining down on a harbor full of ships.
'8494': A person holding a piece of food in front of a sign and a camera.
'8495': A vendor has lots of different vases and mugs for sale.
'8496': A woman takes a picture of herself eating food.
'8497': A group of people standing outside of a double decker bus.
'8498': The broccoli and potatoes are being cooked with ham and carrots.
'8499': A half eaten sandwich is on a plate with a knife and fork.
'8500': A close up of a sandwich with a drink in the back.
'8501': An older Dodge sedan sits parked next to another older sedan.
'8502': There is a bus parked on the side of the street next to a car.
'8503': A man and a child in a tennis tournament getting ready to hit the
ball.
'8504': A modern fashion double oven cook stove with a griddle.
'8505': A group of young children sitting around a chocolate cake.
'8506': A polished table with a bowl full of food sitting on it next to
a fork that rests on top of a circular disk.
'8507': Some horses are running around in a field near a pond.
'8508': A woman makes sausages and eggs on the stove top.
'8509': An orange color photo of many trains on the tracks.
'8510': A bunch of brown signs on a pole.
'8511': Sheep graze in a lushly green mountain meadow
'8512': Three people in work uniforms and visors standing together behind
various types of donuts.
'8513': A table with a laptop, phone and other devices sitting on it.
'8514': A man drops a red bottle from his hand.
'8515': A woman and two men are playing a video game in the house.
'8516': Two monitors are displaying blue screens on the desktop as they
sit next to a speaker, a keyboard and a mouse.
'8517': A big burger on a small silver plate with a bowl of broth on the
side.
'8518': Two women in white dresses lean against a colorful wall and one
of them is on a cell phone.
'8519': An adult giraffe standing near a white duck in a field of grass.
'8520': A hot dog with mustard on it is standing on a white napkin.
'8521': 'A lunch bowl with bread, sausage, tomato, and egg. '
'8522': Five women riding their motor cycles on the street.
'8523': Jockeys races camels on the beach on a clear day.
'8524': A man sitting on a bench surrounded by fruit-bearing trees.
'8525': Two cooked hot dogs and chicken drumsticks are on a plate with parsley.
'8526': A wet window blurs the image of a parking lot beyond the apartment
building.
'8527': A man and woman get air catching the Frisbee near the water.
'8528': Several different kinds of pizzas displayed on a buffet line.
'8529': A woman wearing a navy t-shirt hits a tennis ball.
'8530': A male baseball player wearing red and white is running to first
base.
'8531': A man on a piece of equipment resembling a bicycle that has very
large wheels.
'8532': A man and a woman are posing for a picture in a kitchen.
'8533': A very tall building surrounded by lush green grass.
'8534': A small clean bedroom that is well lit.
'8535': Baseball players in their uniforms on a baseball field with synthetic
turf.
'8536': many cows next to a body of water in a field
'8537': A bed with a yellow blanket and a white pillow.
'8538': A teddy bear holding a flower next to a block toy.
'8539': Boy standing on a skate board as seen from under the board.
'8540': A book sitting on top of a toilet in a bathroom stall with blue
floor tile.
'8541': A dozen doughnuts sits in a doughnut box and one is chocolate, three
are glazed and two are raised pink iced.
'8542': A man is holding a kite at the beach.
'8543': Large assortment of small and large paintings displayed outdoors.
'8544': A person riding skis and a snowboard on top of a snow covered slope.
'8545': A large tall glass-walled building with a clock on the top.
'8546': An airplane is sitting on a runway next to a tower.
'8547': A beach chair and umbrella in the sand on the beach.
'8548': 'A front shot of a Crosstown bus is parked on the side of the road. '
'8549': A couple of dishes are sitting on a stove.
'8550': 'A plastic tree with a doughnut hanging by a strip of red ribbon. '
'8551': 'Hot dog with mustard on it sitting on a white napkin. '
'8552': A man is on a bench in front of a steple tower.
'8553': An old fashioned refrigerator sitting in front of glass cabinets.
'8554': A white plate with some broccoli, carrots, and meat.
'8555': A woman surfing the waves on a surfboard in the ocean.
'8556': A grandmother holding onto a little blond girl.
'8557': A large black and beige cat stands near an angled television.
'8558': A kitchen island has a farmhouse sink and a coffee maker on it.
'8559': A woman surfing rocking waves in the water.
'8560': A group of people with parasols are standing around a boat on a
river.
'8561': A thick crust cut pizza on a plate with wine by its side.
'8562': two giraffes and some green trees and yellow flowers
'8563': 'A little league baseball player is getting ready hit the ball with
his bat. '
'8564': A woman and a doctor are in a hospital room, with the woman laying
in a hospital bed and hooked up to several machines.
'8565': A man riding a skateboard up the side of a cement ramp.
'8566': Water traffic along the Thames above Big Ben.
'8567': A very simple living area with a chair, sofa and a TV mounted on
the wall.
'8568': A large screen showing a smiling person wearing a suit.
'8569': A woman is ice-skating on a frozen lake.
'8570': Two people playing basketball while standing, one in purple is smiling.
'8571': 'a bath room with sinks and mirrors '
'8572': A man sits on a bench with a church in the background.
'8573': A man eating at a table with a cat sitting next to him.
'8574': Two vases and a clock sit on top of the table with fresh flowers.
'8575': A double parking meter on a pole with a bicycle rack.
'8576': An urban street with a streetlight, park bench, and people walking.
'8577': A group of men traveling on horses in the water,
'8578': Luggage is sorted into groups and sits outside the fence and a tent
for pickup.
'8579': A large white dog laying underneath a bed.
'8580': A red Dodge truck is parked near a rusty Dodge.
'8581': There is a woman sitting on the railroad tracks.
'8582': A man is touching an intricately designed clock with roman numerals.
'8583': Several pieces of pottery in the process of being painted.
'8584': A person on a motorcycles driving past a group of people behind
a fence.
'8585': A photograph portrait of a male teen in coat and tie with a book
in his hand.
'8586': A group of young people standing on top of a snow covered slope.
'8587': Two young children sitting on a couch playing Nintendo.
'8588': A street sign and a bike are pictured against a cement wall.
'8589': A woman hold a black horse while a woman watches.
'8590': Two birds perched up on a large tree branch.
'8591': A man lies on the beach while someone else holds a kite.
'8592': There is a white horse pulling a trolley in front of it.
'8593': A little girl is putting down a white Nintendo Wii game controller.
'8594': Three stuffed animals lay in a bed cuddled together.
'8595': A mirrored tower stands in front of a large clock skyscraper.
'8596': A stop sign that is attached to a broken metallic pole.
'8597': Three hot dogs with different toppings scattered on a tabletop.
'8598': A kitten is walking next to a parked bike inside.
'8599': A woman is walking her dogs off the city sidewalks through the newly
fallen snow.
'8600': Woman surfing small wave using a body board.
'8601': 'The tennis player wearing a purple outfit is about to hit the tennis
ball. '
'8602': Camera equipment is dismantled in a room with vending machines in
the background.
'8603': Two cats are sitting on a pair of shoes under an umbrella outdoors.
'8604': A black and white image of people sitting near a santa and a penguin.
'8605': People cross the street at the corner of luxury buildings.
'8606': A modern looking clock surrounded by greenery.
'8607': A dense cake with a candle and fruit in it sitting on a blue plate.
'8608': Some kids standing up playing wii with each other
'8609': The goalkeeper in green grabs the ball among a group of children
playing soccer.
'8610': A wooden sheep is standing under a small fence post.
'8611': A young man in a helmet standing by a folding bicycle.
'8612': A traffic light and intersection with bicycles and cars traveling
in both directions on the street.
'8613': A middle-aged man wearing a suit and neck tie.
'8614': A woman smiles as she stands in glittery skis on a snowy hill.
'8615': A woman sits on a ledge and ignores her phone.
'8616': Two small children and a puppy are holding remote controls while
sitting on a floor.
'8617': A vase full of irises with a pitcher on an end table
'8618': Three zebras look towards the camera near a watering hole in their
habitat.
'8619': a bunch of tubs are lined up next to each other
'8620': The boy and mother are making pizzas together.
'8621': A soccer game where a girl in white is dribbling ahead of the girl
in blue.
'8622': A couple taking a photo of themselves with clean teeth.
'8623': A girl holding a skate board is speaking into a microphone.
'8624': A teddy bear and a robot are next to a goldfish toy.
'8625': Several different pieces of electronic equipment and computers on
a desk.
'8626': A cat rests on a bed in a bedroom where one person is also sitting.
'8627': A llama is biting on a hand-fed carrot.
'8628': A man swimming in the ocean with something in his hand.
'8629': Old style bus and trolley going down a modern street.
'8630': 'A lady is taking a shot at doing her best Tennis serve. '
'8631': A man on a long exposure picture riding an electric skateboard.
'8632': A grey ship sits out in the water while a large cruise building
sits in background.
'8633': Three laptops and a cellphone on a yellow table.
'8634': three sheep grassing in a pasture side by side.
'8635': Cattle are grazing in a bright green pasture along a river and snowy
mountains.
'8636': A desk with two computer monitors and a laptop.
'8637': An airplane is flying past a domed tower.
'8638': 'The man is looking into a mirror holding a toothbrush. '
'8639': A bathroom that has two televisions in it.
'8640': A distant view of a very big pretty city bus.
'8641': A faded stop sign with two street signs above, in a rural area.
'8642': An adult is cooking at the kitchen counter near a baby and a dog.
'8643': A toddler celebrates his birthday with a toy car and a cupcake.
'8644': Various crates holding luggage are on top of a car.
'8645': A man and a woman in a defensive stance with tennis racquets.
'8646': Three women sitting at a table eating breakfast.
'8647': there is a white fire hydrant on a street between two identical
red poles.
'8648': The two otters are playing in water.
'8649': A tennis player hitting a ball in a low position.
'8650': A boy and a girl are swinging tennis rackets in a match.
'8651': An old toilet painted red with a wooden lid and a hanging plant.
'8652': Red cup and saucer clock displayed against ornate background.
'8653': A person is flying over a snowy slope on a snowboard.
'8654': A man in a white shirt and gray pants walks toward a grassy area
as kids in baseball uniforms and an umpire are near him.
'8655': A woman wearing headphones and sunglasses looking at some electronics.
'8656': Two monkeys are hanging from some tree branches.
'8657': An adult moose and a baby moose step out of a busy thicket in the
wild, while a hawk flies overhead.
'8658': View of two desks with chairs next to a fireplace in a modern living
room.
'8659': Square pastries are assorted on a white platter.
'8660': A broccoli and pasta salad with oil and vinegar dressing and cheese.
'8661': A woman is holding a toothbrush while the baby wrapped in a towel
looks on.
'8662': A catcher is not ready to catch the ball after it crosses the plate.
'8663': A girl with a green shirt brushing her teeth with a blue toothbrush.
'8664': 'a desk with two monitors and a laptop on it '
'8665': A bicycle is standing next to a canopy bed in a room.
'8666': 'A man holding a tennis racquet in the yard '
'8667': A salad made with green pepper strips and yellow sprouts sits on
a square white plate.
'8668': A man with blonde hair, a shirt and a tie posing for a picture.
'8669': A one-handed youth holds a soccer ball while another youth is behind
him, looking at the first youth.
'8670': A plate of dessert with a slice of cake and fresh berries.
'8671': A woman that is holding a book and a candle sitting on a bed.
'8672': Some kids sitting down playing wii with each other.
'8673': A couple of zebra standing on top of a rock.
'8674': Some monkeys are sitting on two tree branches.
'8675': A group of giraffes in a grassy area next to trees.
'8676': A person is holding a spatula near slices of bread and eggs on a
stove.
'8677': The pitcher, catcher and umpire during a baseball game.
'8678': A herd of sheep grazing on a golden pile of hay.
'8679': Black horse carrying a man in a white buggy.
'8680': A fire hydrant distant from a tall bush in a field.
'8681': A man and a dog are reaching out to catch a frisbee.
'8682': A container with a sausage, egg, and tomato slices and another container
with bread.
'8683': The bus is pulling off to the side of the road.
'8684': An ornate clock on the side of a building next to a tree.
'8685': Hand holding a small pair of scissors with a red handle.
'8686': A black toilet and a bath in a room.
'8687': A man holding onto a little brunette girl.
'8688': Two black goats standing next to a white goat.
'8689': A kitchen with wooden furniture and a vase missing red flowers.
'8690': A man catching a green Frisbee next to a field.
'8691': A tablet and a desktop computer on a white desk.
'8692': A tooth brush sits next to a fluffy toy.
'8693': A white street sign and a flag pole are in front of a green large
tree.
'8694': A hot dog on a bun with spicy mustard on it.
'8695': a bathroom with two sinks with a light on above them.
'8696': A group of young men playing a game of basketball.
'8697': A dish of meatballs, vegetables, noodles, and sauce.
'8698': A bathroom with a sink, toilet and tub in front of a large mirror.
'8699': A pizza has been topped with pineapple near a large glass of wine.
'8700': A hand holds an iPhone switching between various applications.
'8701': Two men and a woman sitting on a tan ledge.
'8702': 'a bunch of people gathered inside of a building '
'8703': A man is taking a picture of food with a mobile device.
'8704': A man wearing a shirt and a pixilated looking neck tie.
'8705': A woman is skiing down a snowy hill.
'8706': A street sign reads "Bacchanalia" above a traffic light and a stop
sign.
'8707': A woman wearing an Army t-shirt catches a tennis ball.
'8708': A pizza that is in a silver pan and sitting on a reflective white
surface.
'8709': A cute brown puppy is jumping on a rumpled bed.
'8710': A man is holding a long racquet on a surfboard in the middle of
the sea.
'8711': A stack of plates with olives is placed on a small pizza.
'8712': A building wall and pair of doors that are open, along with vases
of flowers inside of the building.
'8713': a grassy field with two zebras in it
'8714': Man flying a kite on the beach while others run along the sand.
'8715': A red couch next to a brown chair in a living room.
'8716': A yellow bus with tinted windows driving uphill down a street.
'8717': A table topped with a plate of sandwiches covered in berries next
to a cake.
'8718': A group of people standing inside a double decker bus.
'8719': Two cupcakes sitting on a paper plate.
'8720': A woman in pink shirt and hat sitting on a wooden bench.
'8721': Two hot dogs with pickles in buns sitting on a white plate.
'8722': A bunch of old refrigerators in front of an open door.
'8723': A white bus is driving down a street next to a park and a building.
'8724': A man and a child throw a tennis ball and pose their racquets.
'8725': A street sign reads "Bacchanalia" below a stop sign.
'8726': A brown and white cow mooing in yard next to street.
'8727': A sign with the word "Pub" hangs above several liquor bottles.
'8728': A large clock fixed to a building as a hot-air balloon passes by
and vehicles drive below.
'8729': Four picture collage of a snowboarder wearing a red jacket and brown
pants going down a snowy mountain side.
'8730': A tall glass case with some fruits in it and some grass growing
'8731': A copse of men sitting next to each other at a table.
'8732': 'Four people learning how to surf on the beach. '
'8733': A large white dog is laying underneath a bed and a lamp.
'8734': A room with a couch and a bookshelf, chair, table and television
in it.
'8735': A man pets a cat and a dog over a bag.
'8736': A woman in a suit and pale makeup sitting by a table.
'8737': A close up of a cake on a plate with a fork on a table.
'8738': A large orbital candle sits next to a vase on a table.
'8739': An adult brushing their teeth in a bathroom.
'8740': A book is sitting on top of a laptop.
'8741': A male is playing a video game and two people are watching.
'8742': A man wearing a red stripe vest and a gray tie.
'8743': A small boat is beached on the shore.
'8744': A plate of food with a fried egg and monochromatic vegetables.
'8745': A young man riding on a surf board with a dolphin on an ocean wave.
'8746': A larger zebra resting its head on a smaller zebra.
'8747': three people and one is petting an elephant
'8748': A Superman toy is lying face down on the table next to an empty
plate of food.
'8749': A pair of clear handled scissors rest on a roll of black packing
tape.
'8750': A woman pats an elephant as a couple men watch.
'8751': A row of white toilets sitting on top of a dirt ground.
'8752': View of landscape and a building from a train window.
'8753': There is a cat wearing an elephant hat
'8754': White birds are gathered around a water puddle.
'8755': Pizza pie sitting on top of a table in a park.
'8756': The old fashioned train is going over the rainy bridge.
'8757': A red and black boat floating next to the water.
'8758': A brown horse with a white mane is on the grass.
'8759': Lettuce and tomatoes on a slice of pita bread.
'8760': A highway with a green exit sign, a yellow traffic sign, and a billboard.
'8761': 'a man in the air with a skateboard above a half pipe '
'8762': Eggs and vegetables are inside of a cooking pot.
'8763': Two people are at a glass computer desk with a mouse.
'8764': A glass vase is beside a white candle.
'8765': A tall giraffe stretches to reach a bird's nest and high leaves
on a tree.
'8766': A woman wearing a skirt covers up her tattoos.
'8767': Two men standing on the street wearing a suit and tie
'8768': Two women ordering food from a small outside restaurant.
'8769': A cat standing next to a foldable bike parked against a wall.
'8770': A large cargo van parked in front of a smart car.
'8771': A bowl of banana's, sprinkels, chocolate chips, and marshmellows.
'8772': A black girl standing in a forest holding a little umbrella.
'8773': A bathroom with orange appliances and white walls.
'8774': Six people beside a bus, with five of them on their electronics.
'8775': A white traffic stop sign with a blank red sign below it.
'8776': A computer is placed in front of a stack of random books.
'8777': A group of goats in a fenced in area.
'8778': A very nice living room with a guitar that is very clean.
'8779': Three young women smile brightly together under a spotted large
umbrella.
'8780': A man sits at a counter while a woman looks at him through a window.
'8781': A young boy pushing a skateboard.
'8782': Several motorcycles are parked at a red light in the road in a city
with a park nearby.
'8783': A red stop sign sitting on the floor next to a graffiti-covered
wall.
'8784': Dandelions are scattered around a dry grass field.
'8785': A group of people riding motorcycles on the street.
'8786': A small child eating a plate of food using utensils.
'8787': A plate of finger foods next to a blue and raspberry topped cake.
'8788': A man on a bike is riding down a street next to a road filled with
cars.
'8789': A boy laying on top of a couch under a pink blanket.
'8790': A counter topped with a large white frosted cake sitting next to
small pastry.
'8791': A man that is standing in the sand.
'8792': A video screen with faces of a couple of guys on it.
'8793': A sheep is on a blooming field of grass with two men walking around
it.
'8794': A big dog next to a person's leg.
'8795': Two dogs running across patchy grass; one chasing the other.
'8796': A giraffe and a peacock facing the camera as their photo is taken.
'8797': A man pets a cat beside a bag.
'8798': A child looks at a spoon and holds a cupcake.
'8799': A fold out sign sitting on a rainy sidewalk next to an umbrella.
'8800': A white giraffe standing near an adult duck in a field of grass.
'8801': A cross with teddy bears tied to it.
'8802': A mailbox that has dirty, brown water inside.
'8803': A man wearing a tie poses for a photo
'8804': A drab public restroom focused on the sinks.
'8805': A bowl of food with mushrooms in it.
'8806': A younger man is wearing a funny hat in his dining room.
'8807': A bowl filled with champagne sitting next to a banana.
'8808': A white sink with a black cabinet underneath it.
'8809': 'a table top with some food on top of it '
'8810': A brown and black dog standing next to another dog.
'8811': A man puckers up as he holds a large orange in his hand.
'8812': A group of men playing a game with remote controllers.
'8813': Living room area of home with carpeted flooring and fireplace.
'8814': Some children and a robot are playing video games together.
'8815': A bicycle and a public transit vehicle on a road.
'8816': Giraffe, zebra, and lion are grazing in a field next to plants.
'8817': They are going to serve pizza and mango for lunch today.
'8818': An assortment of doughnuts are arranged in a display case.
'8819': Two bears on the water fighting each other.
'8820': 'a baseball player with a bat on a field '
'8821': 'A white train with a yellow front running on rails. '
'8822': A woman is at a kitchen counter by a dog.
'8823': Two people standing on a beach flying a kite.
'8824': Two eagles are perched on trees out in the fog.
'8825': A black-and white picture in front of a rack full of doughnuts.
'8826': An animal holding a piece of food in front of a cafe.
'8827': A brown and white cow grazing in yard next to street.
'8828': A yellow submarine and a red boat are floating in front of a city
scape.
'8829': A man is adoring from afar a statue of a giraffe.
'8830': A large white airplane flies in the blue sky.
'8831': A man on a surfboard with two people swimming behind him.
'8832': A laptop computer sitting on top of a lego desk.
'8833': Another player competes in a video game as two people watch.
'8834': A man walking on a snow covered slope.
'8835': A camera showing a blurry picture of someone touching a cupcake.
'8836': A man running while holding a ball in his hand.
'8837': A sun bear and a raccoon yawn and extend their long tongues.
'8838': A rat is scurrying next to a parked bike inside.
'8839': A young woman sledding through a snow covered forest.
'8840': A school bus drives in front of hills.
'8841': Two women in a room with one of them holding a cake.
'8842': A TV with a picture of two men wearing black hats.
'8843': Several glasses sitting in front of a woman, talking on her phone.
'8844': A man standing next to a beautiful woman in a short blue skirt facing
the crowd.
'8845': A road sign on top of a traffic light at an intersection.
'8846': A boat stowed up on the beaches on sand.
'8847': 'A vase of red flowers sits on a bathroom countertop. '
'8848': a desk with a monitor and two laptops on it.
'8849': Two people and a parrot are sitting at a table eating.
'8850': A horse and a dog positions for a picture outside.
'8851': a person that is sitting down with a plate of food
'8852': A pregnant woman laying in bed reading a book.
'8853': Two men ride a folding bike along a busy street.
'8854': A woman in a blue dress with no shoes, seated with her legs crossed
on a chair in the middle of a room.
'8855': A trio of giraffes stand together in the grass.
'8856': 'a computer desk with multiple computers and screens
'
'8857': Several birds standing in a white puddle in a parking lot.
'8858': A lady and a little girl flying a kite on a grassy field.
'8859': Football players prepare for the next play in a game.
'8860': Three girls walking down the sidewalk in raincoats.
'8861': 'A picture of a variety of refrigerators on display. '
'8862': Two giraffes laying down outside near a building.
'8863': A group of birds is perched at the river's edge.
'8864': An old photo of a sailor and a boat parked next to the dock.
'8865': A cat is propped up on the toilet seat.
'8866': A close up of what appears to be a street sign and two traffic machines.
'8867': Surfers ride their surfboards on a beach for the early morning sunrise.
'8868': A bright city street with a stop light, a big Christmas tree, and
an ice rink.
'8869': A group of young men standing next to a sandy beach.
'8870': Man brushing his teeth and putting down his phone.
'8871': A woman holds a beverage in her right hand with a carrot in the
other.
'8872': Guys and a girl are sitting at a table eating pizza and talking.
'8873': A man is on a snow board with a kite.
'8874': A pressed sandwich on a plate next to an iced coffee at Starbucks.
'8875': A young boy running with a colorful kite on a sidewalk.
'8876': A solitary sheep walking across a lush green field.
'8877': A man in a florescent green hoodie putting away a fuchsia umbrella.
'8878': A cup with soda in front of a panini with a side of greens.
'8879': A man that is standing in the dirt with a wooden bat.
'8880': An adorable elephant walking through a grass covered forest.
'8881': Some black cattle and a horse are grazing in a green field.
'8882': A BOX OF DOUGHNUTS exceeds a dozen.
'8883': Horses and bikers racing on a track with many houses in the background.
'8884': Three teddy bears and a stuffed cat on a stone wall.
'8885': A grandfather looks at his family's pizza dinner with his grandmother.
'8886': A room with a mummy and a picture of a desktop computer.
'8887': A bathroom vanity sink with a large mirror and hairdryer on the
wall.
'8888': A brand new blender is sitting next to a printer.
'8889': A cracked statue with two stuffed animals on top of it sitting in
a patch of dirt.
'8890': A slice of pizza sitting on top of a white plate.
'8891': A glass building with a tall clock tower beside it.
'8892': An abandoned bus is stopped on a dark road.
'8893': A large jetliner is sitting on top of an airport runway next to
a control tower.
'8894': A large dog laying on a bed next to a laptop computer.
'8895': A desk with two laptops and a monitor.
'8896': A bathroom with blue and white tiles.
'8897': A white bus with a flat tire sitting next to a bench.
'8898': A white cat laying on a black laptop.
'8899': A tasty looking soup that is served in a bowl to eat.
'8900': A black and red parking meter on sidewalk next to a street.
'8901': Two stuffed teddy bears sitting on a wooden chair with an umbrella
in a yard.
'8902': A futuristic commercial airplane sits on a runway at an airport.
'8903': 'Someone is holding a black plate with two slices of pizza. '
'8904': The black and white photograph of a classroom of schoolchildren
is a bit out of focus on the left side of the picture.
'8905': A building top with a clock and a flagpole on it.
'8906': Persons of different origin standing in a hall with paintings on
the walls.
'8907': A group of basketball players playing on the court.
'8908': A woman drinking something from a red bottle.
'8909': A person holds sunglasses and a phone in a car with the window rolled
down.
'8910': A bathroom sink and a showerhead beside a toilet and blue trashcan.
'8911': A stop sign leans beside street signs and a light post across from
buildings.
'8912': The kitchen is clean and ready for us to see.
'8913': Four bowls of different eatables are kept next to the slab.
'8914': A historical bridge next to a modern glass window skyscraper.
'8915': a close up of a plate of food on a carpeted floor
'8916': a blue and red plane on a runway
'8917': A dog standing on a ledge in front of a lemon tree.
'8918': A man and a palm tree lie on the beach while someone else holds
a kite.
'8919': 'A living room with white walls, rectangular windows, and grey and
red furniture. '
'8920': A bald man standing outside holding a racquet with both hands.
'8921': A group of zebra lying down on a grass covered hillside.
'8922': A hammock hanging over a picnic table.
'8923': Many surfboards are lying on the beach.
'8924': Some kind of chicken, rice, and vegetable dish on a paper plate
being served to a man.
'8925': A woman is sitting in a swivel chair with an umbrella.
'8926': There is a man opening the oven door.
'8927': A young woman stands over a laptop computer screen.
'8928': A brown black and white dog wearing a helmet is running alongside
a black scooter.
'8929': A toddler eats cake with his hands in his high chair.
'8930': A woman is riding a large brown horse.
'8931': White birds are flying over a water puddle.
'8932': A cat is sitting on the bed near a person using a laptop.
'8933': A man uses a laptop and holds a coffee mug in an otherwise dark
room.
'8934': A woman getting ready to eat a pizza on the table.
'8935': A picture of an animal is on a pole and next to it is a yellow taxi.
'8936': A large pizza on a stone pizza cooking tray.
'8937': A painting of a bright pink shoe on a blue and green background
hangs on the wall.
'8938': A person is putting down a half eaten pastry.
'8939': A young boy who is holding a transparent kite in his hands.
'8940': The browned smooth crust of a baked berry pie.
'8941': A group of motorcycles are on display at a museum.
'8942': A vase with a variety of cacti sitting in the window.
'8943': An old man and his cute cat enjoy a nap together.
'8944': A big league baseball player is getting ready hit the ball with
his bat.
'8945': Monochromatic lights reflect off the items inside this bathroom
stall.
'8946': Hot air balloons and water traffic can be seen along the Thames
by Big Ben.
'8947': A cat and a toothbrush are near a bathroom faucet, with water flowing.
'8948': The traffic lights glow green in the night sky.
'8949': Several different pieces of electronic equipment and books on a
desk.
'8950': A girl is playing a Wii videogame at Christmas time.
'8951': A pizza casserole with two kinds of crackers on the side.
'8952': A young child holding onto balloons and a kite while standing on
a green grass covered field.
'8953': A painting of some colorful couches on a table.
'8954': An orange detour sign sitting on either side of a couple of cones.
'8955': some small chairs are sitting around a red table.
'8956': A woman is sitting beside her luggage at an airport.
'8957': A woman sitting beside a wooden bench on a wall.
'8958': A rack topped with glazed donuts and croissants sitting side by
side.
'8959': A photo of a man and his wife on a bed
'8960': A night time street scene of a street light and church.
'8961': A guitar is placed on a metallic sculpture.
'8962': Fruits and vegetables inside of a cooking pot.
'8963': There is a fire burning in the fireplace and a bookcase in a sitting
room.
'8964': A man without glasses and wearing a tie poses for a profile picture.
'8965': A person riding a two thick wheeled bike next to the sand.
'8966': A boy holding a kite while standing on a sidewalk.
'8967': 'Several vehicles providing aerial transportation are shown in the
photo: helicopter, hot air balloon, small plane and glider.'
'8968': A traffic light and intersection with cars traveling in both directions
on the street.
'8969': A large hot air balloon flying in the blue sky.
'8970': A man standing next to train tracks with a guitar case and bags
of luggage.
'8971': The man with the black sweatshirt carries a wooly sheep and a goose.
'8972': The man has a knife and fork for eating the big pizza.
'8973': 'Two brown and white dogs running in a park. '
'8974': 'A male skier is posing for the camera while a young girl is in
the background. '
'8975': A porcelain tea and glassware set is on display.
'8976': A cat sitting on a couch with a dog on the floor.
'8977': A little girl holding a baseball bat on grass.
'8978': A man is staring at a glowing object in his hand.
'8979': This is a broccoli carrot soup without a lot of broth.
'8980': Shadows are cast over the side of a train because of the sun.
'8981': The woman is looking into a mirror holding a toothbrush.
'8982': A picture frame is next to a vase holding an arrangement of dried
vines.
'8983': A white plate topped with broccoli, carrots, and a dumpling.
'8984': A man is sleeping in his bedroom next to a cat and a bird.
'8985': A black yellow and blue train at an empty train station.
'8986': A grassy hill side and a river with some animals in the distance.
'8987': The room has red wall, white carpet and velvet matching furniture.
'8988': 'The large crowd has gathered and is eating. '
'8989': A cup, toothbrushes, and other items sit on the side of a small
sink.
'8990': A woman pinning a flower onto a man's blazer.
'8991': A white cow standing on top of a dirt field.
'8992': A cat is sitting inside of a bathroom sink with a rubber duck.
'8993': A bedroom done in red and black prints with animal pillows.
'8994': A woman standing next to a dog on the ground.
'8995': A left-handed baseball player lunges and reaches back with the ball.
'8996': Large canoe with many people on lake with trees lining shore.
'8997': Some oranges in a wooden fruit bowl on top of a glass table.
'8998': There is something missing under that wooden shelf.
'8999': Two zebras grazing while a giraffe looks at them and some oxen in
the background.
'9000': A child with various yard decorations some of which look like birds.
'9001': A banana sitting on top of a white plate next to an orange and a
pastry.
'9002': A small tiled bathroom stall with a white toilet seat.
'9003': A man riding skis across snow covered ground.
'9004': A collection of paintbrushes in a metal bowl.
'9005': Two black dogs on a leather couch sleeping peacefully.
'9006': A blurred close up of a cooked fruit flavored muffin.
'9007': A plate of food sitting on a table, it appears to be a meat-filled
dish.
'9008': Looking down at a desktop with two monitors, a key board, mouse
and cell phones on it.
'9009': A young man playing with wireless video game controllers.
'9010': A sausage on italian roll sandwich, cut in half, is on a white plate,
with a garnish.
'9011': A rear shot of a Crosstown bus is parked on the side of the road.
'9012': Two stuffed animals in a plastic outdoor chair.
'9013': A handsome man sitting on a bench next to a bronze statue.
'9014': Lights shine on a wooden dining room table.
'9015': One bicycle is parked next to many motorcycles.
'9016': A man sitting in front of a giant pizza.
'9017': A man and a woman are sleeping with their heads on pillows.
'9018': A woman in grey shirt and hat sitting on a wooden bench.
'9019': Four women stand behind boxes of large pizzas and hamburgers.
'9020': A young man riding a skateboard with red wheels and sunglasses.
'9021': A toddler celebrates his birthday with a cupcake.
'9022': There is a small black table next to a red toilet.
'9023': 'A cheese pizza sitting on top of white paper and a large plate. '
'9024': A young man in a yellow shirt preparing to serve in an tennis match.
'9025': A dog is wearing a helmet and sitting by a motor bike.
'9026': A kitchen and dining area painted red.
'9027': Three people standing by an elephant behind an electrified fence.
'9028': A large jetliner taking off from an airport runway.
'9029': A man walking next to a woman riding a pink bike.
'9030': A boy takes a bite of his pepperoni pizza.
'9031': The child is looking at the elephant in amazement.
'9032': A newly married couple sharing a piece of there wedding cake.
'9033': A Fedex truck drives in front of snowy hills.
'9034': A man surfing the waves with a seagull on a surfboard in the ocean.
'9035': A group of people walking on a sidewalk next to buildings and a
fountain.
'9036': A pile of luggage sitting up against a white fence.
'9037': A group of children sitting in front of a blanket.
'9038': A group of cows in a wooden fenced in area.
'9039': A white car and a bicycle parked on a street in the rain.
'9040': Some girls in colorful shirts standing by some flowers.
'9041': A bird with brown wings and head perched in a tree.
'9042': An elderly man with a green jacket eating a piece of pepperoni pizza.
'9043': A white bathtub with a black cabinet underneath it.
'9044': Two bears in the water splashing at each other.
'9045': A group of pillows sitting next to each other in bed.
'9046': 'A living room with the walls painted orange-red color. '
'9047': A couple sitting under an umbrella on a bench with a little girl.
'9048': A person holds an oddly shaped cookie and a cup of coffee in front
of the camera.
'9049': 'The garage is littered with garbage on the floor. '
'9050': A living room that has some couches, tables, and a rug in it.
'9051': A wooden spoon above a soup pot on the stove.
'9052': There are pedestrians walking passed a fountain.
'9053': A little girl standing behind an adult while holding an umbrella.
'9054': A table with several dishes on it with a television.
'9055': A bicycle is lying next to a bed in a room.
'9056': A blue plate with a green salad on top of it.
'9057': A surfer rides the face of a wave while seagulls fly overhead.
'9058': A group of people paddle a long canoe in a clear lake bordered by
pine woods.
'9059': A large old oven preparing food with a man standing next to it.
'9060': A photo of a young male in a suit jacket and tie.
'9061': A white stove and a blender in a very small kitchen.
'9062': a tub boat pulling a small barge through the water
'9063': 'A stop sign is mounted upside-down on it''s post. '
'9064': Two wooden elephants stand next to a young fence.
'9065': A laptop computer is displaying a screen with words.
'9066': A boy and a man playing with drones and kites on the beach.
'9067': A tree underneath a green park bench in a park.
'9068': Two men and a child are getting food at an outside restaurant.
'9069': The over ripe bananas are hanging from a stand.
'9070': People fill a park area under a cloudy sky while kites pepper the
sky.
'9071': People are getting off a boat on a rocky island.
'9072': French fries in a paper bag on top of bread in paper container with
a drink on the side.
'9073': A man in a yellow shirt laying next to a blue surfboard.
'9074': 'A dog and cat lying together on an orange couch. '
'9075': A giraffe with the back turned to the camera next to two walls.
'9076': A man skiing down a hill by himself with a chairlift in the background.
'9077': A large balloon is shown in the air.
'9078': Men keep watch on a herd of sheep.
'9079': Man in tan suit walking down a city street lighting a cigarette.
'9080': A refrigerator standing in front of some cabinets.
'9081': A yellow pen on top of a closed lap top computer.
'9082': A bell tower with a clock and a bird's nest built inside of it.
'9083': A young child smiles on a foldable scooter in an historic photo.
'9084': a motorcycle parked next to a green tent in a field
'9085': Picture of a plate with a boiled egg and a salad.
'9086': a white and red plane parked on a tarmac
'9087': A young man riding a skateboard with a microphone in hand.
'9088': a single slice of pizza with ham slices on it on a plate
'9089': Three people on packed snow trail, two skiing, one running.
'9090': An assortment of crackers, salsa and veggies sitting on a white
counter.
'9091': 'a pot of food on a stove with broccoli '
'9092': A cat and a bird are in a bathroom with a tub and a toilet.
'9093': A woman standing looking at her phone with an iron cast woman next
to her.
'9094': 'A bowl holds soup with broccoli and other vegetables. '
'9095': A man offering a child a bite of a cheeseburger.
'9096': A clock is shown with gold detailing around it.
'9097': A woman in high heels is leading a white horse with a rope.
'9098': 'a colorful kite flying by some people in the park '
'9099': A man on a bicycle watching someone on stage
'9100': A colorful train in front of a street light on a bridge.
'9101': A woman that is sitting down in front of a table.
'9102': A bus and a small compact car are driving past a furniture store.
'9103': Spectators enjoying a show of two men on four-wheelers.
'9104': There is an empty tiled bathroom, with a bathtub, two sinks, and
two mirrors.
'9105': A man is staring at something in his hand.
'9106': A vase filled with flowers next to a smaller vase filled with even
more flowers.
'9107': A far away shot of a toilet and a bathtub with toys.
'9108': A room with chairs and an antique large mirror.
'9109': Outdoor show with sheep prominent on grass field.
'9110': A white toilet flushing in a bathroom next to a shower.
'9111': A woman falling asleep next to a man, who are both sitting down.
'9112': room with stone floors and a wood fire place
'9113': a person holding a plate with food on it in one hand and a spoon
in the other.
'9114': Two stuffed animals are lying on a broken wooden chair.
'9115': A lady is putting down a cake with candles on it while a lady near
her is making gestures with her fingers.
'9116': A green chair is next to a long bench.
'9117': Two striped cats lying with two sneakers on a ledge.
'9118': A group of people and luggage on a stained airport tarmac.
'9119': A large blue and white bus on a road.
'9120': A coin meter that has paint and a camera all over it.
'9121': A heard of cows with yellow tags on their ears outside a field of
grass.
'9122': A picture of a women sitting on a motorcycle with a side car with
an oceanic background of waves.
'9123': a green tent and a parked motorcycle and some trees
'9124': Many people flying kites and a hot air balloon under a party cloudy
sky.
'9125': 'three people riding horses on a beach '
'9126': a brown white and black bear and some trees
'9127': Lavishly decorated cake and empty drinking glasses await their tropical
guests
'9128': Colorful lights reflect off the items inside this bathroom stall
'9129': An old man making duck lips while holding an orange.
'9130': Suitcase with stickers outside on table in city.
'9131': A man and a lady are eating hot dogs, with one bite taken from each.
'9132': 'A dinner plate with beans, bones, and veggies. '
'9133': A large closed area of land that has several zebra of different
sizes and warthogs near them.
'9134': A woman takes her picture using the bathroom mirror.
'9135': Oval food trucks are parked around small tables.
'9136': A living room with two televisions decorated for the holiday.
'9137': A bedroom and dining area decorated in white.
'9138': A large group of people posing for a picture with umbrellas.
'9139': A small giraffe stands in the grass near a road.
'9140': A person standing next to a laptop in a dark room.
'9141': A lady holding a cake with candles on it while a lady near her is
making gestures with her fingers.
'9142': This is a black and white photo of a white kitchen.
'9143': two women playing the wii game together .
'9144': A playing flying over a van with multiple people around it.
'9145': a giraffe behind a fence eating grass from a feeder
'9146': A white pitcher holding flowers in a window sill.
'9147': A table with plates of food and a bottle of alcohol.
'9148': A man with graying hair looks down at a stand full of yellow bananas.
'9149': A boy is on the beach holding a toy and a beach ball.
'9150': A cat sitting in an office chair with a lamp next to it.
'9151': A vase with pink iris's sitting next to a ceramic pitcher.
'9152': A man and a dog on skis stand on a snowy hill side.
'9153': 'The vase is holding an arrangement of dried vines. '
'9154': A lady wearing a pink shoe and a scarf with blue jeans.
'9155': A barge floating down a river with the skyline beneath it in the
background.
'9156': A young man kneeling down while riding skis.
'9157': A woman holding a tennis racket getting ready to hit a tennis ball.
'9158': A woman is walking her dog through the city.
'9159': A dog rests on an ornate bed in a bedroom where one person is also
sitting.
'9160': Two adult men sit among a group of little league baseball players
for a group photo.
'9161': A large living area with a bed, some couches, and a bookshelf.
'9162': A brown bear is swimming in a pool of water.
'9163': A night time street scene of a street light, church, and skyscraper.
'9164': A standing toilet in a bathroom next to a mirror and a window.
'9165': White pastries are assorted on a square platter.
'9166': This bathroom has pink tiles out of the shower and is painted blue.
'9167': A run down building with a statue outside the door.
'9168': A couple of men in socks and ties are outside.
'9169': The store is lined up with bikes on the floor.
'9170': A group of cows grazing in a grassy valley.
'9171': A close up of a cat near a bowl.
'9172': An orange, black and white cat on top of a car.
'9173': The view of a bathroom without a wall mounted sink.
'9174': A table topped with apples, oranges, bananas, and pineapples.
'9175': A bathroom with blue walls and white tiles.
'9176': View of a very messy bedroom with boxes and bags covering the floor.
'9177': a living room with wooden floors and furniture
'9178': A sink and a toilet with a bathtub in a bathroom with a cat next
to it.
'9179': A close up of a sliced hot dogs placed in a sandwich.
'9180': A small baby is dropping a white and blue toothbrush.
'9181': A toddler in a yellow dress sits on the lap of a woman.
'9182': 'A bus stopped at a curb to allow people to board the bus. '
'9183': A shiny, new, low riding sports car.
'9184': A collection of kitchen utensils in a plastic bowl.
'9185': A young girl standing in front of a plate of food and a glass of
water.
'9186': A man in blue shirt and black shorts playing tennis.
'9187': A passenger airplane is taking off into a clear sky.
'9188': The cross country skiers are enjoying their run.
'9189': Speakers on top of an open laptop on a desk.
'9190': A baby and two children are practicing using the potty next to each
other.
'9191': Gazelles run through dry grass and shrub growth.
'9192': A dog sits on top of a bed in a room.
'9193': A young man in a helmet standing by a bicycle.
'9194': An older man and a child are downhill skiing down a slope.
'9195': Two vases filled with flowers on a table.
'9196': A young girl wearing a formal dress, a young man in a tie, and a
grandmother are standing together.
'9197': A bus is parked between two green lit traffic lights with a blue
sky behind them.
'9198': 'A young male sitting on a park bench typing on a laptop. '
'9199': A tall cat is sitting in a gray window.
'9200': A collection of luggage that has been stacked up on a wooden carrier.
'9201': Two otters playing together while swimming near a log.
'9202': A man poses with two empty bowls and a beer.
'9203': A red toilet in a very small bathroom.
'9204': Two sandwiches have been halved and placed beside a plate with a
knife.
'9205': A cat and a dog are laying down on a blue comforter with pink sheets.
'9206': A fruit smoothie is on display on a plate with two strawberries
for garnish.
'9207': A large black kitchen range with gold towels on the front.
'9208': Soccer players in orange and purple uniforms on a field.
'9209': People in a grocery store that sells fruit, drinks, and kebab.
'9210': A man working on his laptop in the dark with a lamp next to him.
'9211': Some dessert, caramel sauce, and toppings are in a blue plastic
bowl.
'9212': A man drives a uniquely striped motorcycle down a road in the fog.
'9213': There is an oval colored couch behind the cream coffee table.
'9214': A cat is wearing a small elephant hat.
'9215': A place setting, including a burger, fries, a glass and condiments..
'9216': A man taking a photo with a giraffe sculpture.
'9217': Sheep grazing in a field with rocks in the background.
'9218': A woman with a red umbrella is walking two dogs out of the snow.
'9219': A couple of men in ties are inside.
'9220': Beans and a bag of donuts on a table with remote.
'9221': A white goat is climbing up to eat some grass and flowers.
'9222': Young girl in pink balances on a black surfboard.
'9223': Two giraffes and a monkey eat from a tall food post in their enclosure.
'9224': An individual and a bird are in the open view in the picture.
'9225': The closed door to the bathroom is shown here.
'9226': A boy in plain dress standing next to a white teddy bear.
'9227': A young boy flying a monochrome kite on top of a sidewalk.
'9228': A group of people on motorcycles driving past a person behind a
fence.
'9229': There is a banana and two pieces of cheese on a plate.
'9230': A larger carry-on bag, strapped to the handle of a small suitcase
from the same set of luggage.
'9231': We see a double decker bus with an umbrella stand and a compartment
in the side.
'9232': A pole with stop lights and a metallic horse walking sign.
'9233': A close up of a table with food, bowls and cups.
'9234': Two oddly shaped flowers in a pink wood vase.
'9235': An image of a male basketball player that is dunking the ball.
'9236': A laptop next to two computers, keyboards and some mouses.
'9237': A man sitting on top of a bus over a billboard.
'9238': A calico cat that is sitting in a sink.
'9239': There is a stuffed animal sitting on the toilet next to a candle.
'9240': This picture looks like a janitor's closet with overflowing buckets
on the floor.
'9241': People playing a game on green grass behind a building.
'9242': 'A refrigerator on a patio flooded with water, beverage cans and
a beer bottle. '
'9243': A woman has stick, which is holding some bread, between her fingers.
'9244': A man has a checked shirt and striped tie.
'9245': A man opens a brown colored hydrant and water is flowing out.
'9246': A solo sheep standing on a mountain side.
'9247': Young men playing on the beach with a seagull in the foreground.
'9248': A dining room with some plants are seen.
'9249': A person holding up a vanilla doughnut with a face drawn on it.
'9250': A little boy with a pink blanket and a remote control sitting on
a couch.
'9251': A bus and other cars driving down a multi-laned street .
'9252': Pair of giraffes exploring a large, airy zoo enclosure.
'9253': A large building with a clock on the front of it
'9254': A male baseball player wearing red and white is up to bat.
'9255': A man sitting on a wooden bench next to a rock wall.
'9256': A group of people walk alongside the road.
'9257': A woman and a child are standing on a tennis court with a racket.
'9258': Penned sheep eating hay in indoor facility area.
'9259': A young girl is getting a bandage put on.
'9260': Two parking meters with the light of the sunset reflecting off one
and clouds in the background.
'9261': A cow and several horses are eating hay.
'9262': A pancake mixed with rice, spinach, and broccoli.
'9263': A compass tower with a clock sitting on top of it.
'9264': Two zebras at the zoo eating some grass.
'9265': a guy at a table with 6 plates of food around him
'9266': A bathroom with a glass shower, glass and wood vanity and a toilet.
'9267': This is two birds pecking at the french fries of a burger at an
outdoor restaurant.
'9268': A black toilet in a tiled public bathroom stall.
'9269': A dog curled up on a bed for a nap.
'9270': A break room kitchen is shown with two microwaves.
'9271': 'Two boys riding on a single bicycle on a city street '
'9272': A blender sits on a kitchen shelf in front of a toaster.
'9273': A little girl sitting down with her blanket and a toy.
'9274': A large jetliner sitting on top of an airport runway.
'9275': A row of parking meters in front of a bench and a stop sign.
'9276': This bathroom has green tiles in the shower and is painted blue.
'9277': Passengers at the station with no train around.
'9278': A man cuts a salad to serve with pizza and wine.
'9279': A computer desk with a monitor and two laptops.
'9280': Three sheep are grazing in a pasture next to a pond.
'9281': A smiling man sitting by a very nice looking cake.
'9282': A woman types on a laptop while someone else operates the wireless
mouse.
'9283': Vase full of feathers sitting on a table next to a floral drape.
'9284': A picture of a cell phone Calculator and a computer.
'9285': A skateboarder is turning his board at the top of a ramp
'9286': A tall bus parked in a lot beside a colorful building with many
windows.
'9287': A black bear walking toward a birdhouse and a rock.
'9288': Cars are driving on the street near an old building.
'9289': The people are practicing riding their surfboards on the beach.
'9290': A smiling man, a very cute small girl, and a puppy are sitting together.
'9291': A woman smiles watching a rider approach with two horses.
'9292': A clock tower and a fountain stand in front of a large mirrored
sky scraper.
'9293': A photo of a dim pink shoe on a blue and green background.
'9294': The two sheep are preparing to be sheered.
'9295': 'The man is flying his kite in the sky. '
'9296': a close up of a cat sitting on a bench
'9297': An man standing in a kitchen with a small puppy.
'9298': The refrigerators are lined up against the wall.
'9299': A woman in blue jacket falling off a snowboard.
'9300': This boat has docked next to a concrete pier.
'9301': A horse and a chicken and a dog positions for a picture outside.
'9302': A man with thick black glasses eats a hotdog.
'9303': a close up of a dog with a car in the back
'9304': Two small brown elephants standing over a large elephant.
'9305': A person sitting by a stove in a kitchen.
'9306': A polar bear is swimming in a pool of water.
'9307': A man watches as a dog catches a toy in the air.
'9308': A girl standing in front of a few horses.
'9309': An advertising billboard featuring the statue of an elephant with
a howdah on its back.
'9310': A set of twins who are taking a bath.
'9311': A person is watching waves in a body of water.
'9312': A crowd of people holding their cameras up taking pictures.
'9313': The green handles of scissors are sticking out of a holder.
'9314': Two people beside a blue and green tennis court.
'9315': A man and a woman in black shirts play on an ocean wave.
'9316': A small black bird is flying above a tray.
'9317': A bunch of kids are sitting on the lap of Santa.
'9318': Cat sitting on recliner back in room facing the television
'9319': A statue of a cow printed on a map of the Boston subway.
'9320': 'There is a group of sheep grazing on the grass in the field. '
'9321': A two tier cake with some frosting and strawberries on top of it.
'9322': A man is crashing on a motor bike in mid air.
'9323': A very large semi truck and a motorcycle without any load are parked.
'9324': A orange calico cat on top of a vehicle.
'9325': 'A blue shelving unit has a vase and metal cups on it. '
'9326': 'A boy is on the beach holding a toy. '
'9327': A man holding a hat while standing in front of a bathroom mirror.
'9328': A woman on her cellphone standing on the sidewalk with a bicycle
in a city.
'9329': Two giraffes in a zoo enjoy a walk and an overripe snack.
'9330': Three giraffe drinking from a river with brush in back.
'9331': an image of a large number of suitcases in a pile
'9332': A red fire hydrant is on the sidewalk next to a trash can and a
sign.
'9333': A person on a skateboard stands helping a child.
'9334': A group of people and luggage near an airport tarmac.
'9335': A group of zebras and giraffes by a water hole.
'9336': A bird sitting on top of a park bench.
'9337': A bottle in a luggage rack sits on a floor next to an ice bucket.
'9338': An umbrella that is sitting underneath a light.
'9339': A person holding a multicolored umbrella looking at a body of water.
'9340': A toilet in a tiled stall with plain streaks around the room.
'9341': Two hot dogs are on top of two slices of bread.
'9342': Closeup of a cake that is sitting on a white plate with forks next
to it.
'9343': A man in uniform riding a horse and a cow by a fence.
'9344': A place setting, including a burger, fries, a bowl and condiments.
'9345': People sunbathing near a beach under colorful umbrellas
'9346': A huge room with couches and places to sit and desks.
'9347': There is a woman sitting on the beach.
'9348': Street signs going in every direction in front of a yellow building
and a park.
'9349': Two young girls petting goats in a pen.
'9350': A backpack with stickers outside on table in city.
'9351': A plate containing potatoes, broccoli, carrots and chicken.
'9352': A bedroom done in animal prints with red and black pillows.
'9353': A metal bench is resting on a sidewalk with a bus and street in
the background.
'9354': Two birds are flying over the remnants of a burger at an outdoor
restaurant.
'9355': Person in red peacoat and hat riding a horse.
'9356': An auto-cleaning white toilet sitting next to a bathroom sink.
'9357': A man wearing cowboy gear is standing beside a horse.
'9358': Balloons are floating above a motorcycle on the esplanade at the
car show.
'9359': Several people can be seen at the crest of the mountain overlooking
a beautiful waterfall.
'9360': A row of surfboards leaned up against a wood rail in the sand.
'9361': A man and a woman are about to hit tennis balls with rackets.
'9362': A young man reading a book on a park bench.
'9363': Small bedroom with a bed, bookshelf, and a small monitor on top
of the dresser.
'9364': A woman with a slice of pizza in her mouth across from another woman.
'9365': A clock that is standing on a table next to a painting.
'9366': A purple motorcycle parked on display next to other vehicles.
'9367': A spotted black and white dog wearing a helmet and a black scooter.
'9368': there is a small glass vase that has purple flowers in it
'9369': A dog surfing a small wave with his owner swimming behind him.
'9370': A baby brown bear lying on top of a rock.
'9371': A person with a rainbow umbrella looking at the ocean
'9372': A male skier stops and poses for a picture.
'9373': 'A room with a couch, chair, table and television in it. '
'9374': A man with a top hat, red tie, and a cane.
'9375': Young man on skate board balancing on concrete barrier near riverbank
with small park area near by.
'9376': A dining table with cakes, a vase, and a TV monitor.
'9377': A group of zebras drink water in the wilderness.
'9378': A brick structure with a clock tower in the forefront.
'9379': A woman sitting by a table with food in bowls and pans.
'9380': A group of four zebras and giraffes standing in different positions.
'9381': A lamp and some food are on top of a table.
'9382': Two elderly people sitting at a table posing for a photo.
'9383': There is a plate filled with pastries far from a keyboard.
'9384': Beach full of surfers inside and outside of the water.
'9385': an image of a herd of giraffes in the water
'9386': Several dolphins are swimming around a large boat.
'9387': Bicycles and cars are stopped at a traffic light on a highway.
'9388': A red fire hydrant is next to a public water fountain.
'9389': Two women waiting at a bench next to a street.
'9390': A man that has ski's and is standing in the snow.
'9391': An umbrella at the beach next to the sea.
'9392': Frisbee in the air, a squirrel squatting looking up at it, and a
man standing behind the squirrel watching it, on the grass with a tree.
'9393': A child and a man are miming punching a giraffe statue.
'9394': A clock on the second floor of a building, sitting below statues.
'9395': A young girl without a green jacket eating a piece of pepperoni
pizza.
'9396': A sign with teddy bears and a flower pot on it is advertising a
tea room.
'9397': A woman in grey shirt and sunglasses sitting on a wooden bench.
'9398': A kitchen with two pineapples on the counter, a wok pot on the burner,
and paintings on the walls.
'9399': A picture of a lot of girls, boys, and dogs in front of a building.
'9400': Three rows of luggage of uniform color and size.
'9401': All of the goats are poking their heads out, eating some hay.
'9402': 'two air planes flying in the air near one another '
'9403': A woman poses for a picture against a brick wall.
'9404': A man and a woman in a classroom holding Wii remotes.
'9405': A man holding a black dog while wearing a small white hat.
'9406': Car with window down and fluffy dog sticking out while taking pictures.
'9407': A young man playing tennis as seen from above.
'9408': A shaggy dog is playing with a string of balls.
'9409': 'A bridled mule stands in front of trees and leaves. '
'9410': A person is sitting beside a colorful umbrella.
'9411': a metal bench resting on a sidewalk with cars on a street in the
background
'9412': Children look over the brick fence into the wrought iron archways.
'9413': People fly hot air balloons in a large park in the middle of a city.
'9414': A solo soccer player on field kicking ball.
'9415': People are walking in front of some shops.
'9416': The bathroom door has three panels of frosted glass.
'9417': People and a dog in a shop looking at a wide variety of pottery.
'9418': A tinted bus with yellow windows driving uphill down a street.
'9419': A person with big skis skiing down a green hill.
'9420': A man holding a game controller with a woman looking on.
'9421': Some bananas and strawberries on a large waffle
'9422': A park playing Ultimate Frisbee with four men.
'9423': A woman in uniform shows something on her cell phone to a group
of girls.
'9424': A sport team is posing in a park with a fountain.
'9425': A man sitting on a hillside next to a lake holding a frisbee.
'9426': Some baseball players are sitting on a bench near a field.
'9427': A dirt motorcycle on grey road next to a building.
'9428': A couple cuts into a wedding cake with strawberries and oranges.
'9429': Faces of a couple of guys with a video screen behind them.
'9430': An overhead helicopter is following a crowd of people walking along
a snow covered mountain side.
'9431': Several broccoli plants planted next to a wall.
'9432': 'A low flying airplane over a parked silver van. '
'9433': Some bananas and strawberries beside a large waffle.
'9434': a man holds down an oven door as he looks into the oven
'9435': a sink and a toilet that is in a small bathroom
'9436': 'And antique red car is positioned in front of an airplane. '
'9437': A cat sitting on the back of a sofa looking out a window.
'9438': A small bedroom with a closet off to the side.
'9439': A womman sitting on railroad tracks with a suitcase beside her.
'9440': The brunette woman in the red checked shirt is learning to use Wii
Fit.
'9441': A marble table with white plate holding a pizza.
'9442': 'A school bus waits in traffic behind a car. '
'9443': A black cat licks a doughnut in front of a yellow toy.
'9444': An empty street at night with lots of lights in the background.
'9445': A bright kitchen with plants on the table and tulips by the window.
'9446': A billboard and a lit up street sign at an intersection.
'9447': Stuffed toy bear with rubber green turtle displayed next to chair.
'9448': A cute brown puppy is snuggled on a velvet rumpled bed.
'9449': A cat climbing on top of a shelf with a tv
'9450': A single broccoli plant planted next to a wall.
'9451': A man is cooking in an outdoor state of the art rustic looking oven
in the midst of a farm.
'9452': A little powder room with a colorful toilet, multicolored tile floor,
and a blue towel.
'9453': There is a platter with a steak on white linen.
'9454': A man surfing rocking waves in the water.
'9455': A married couple is in front of a sparkling wedding cake getting
ready to cut it.
'9456': Many giraffes inside a fenced area stand together near two large
rocks.
'9457': A couple is riding skis on a snowy surface.
'9458': A box full of matching, smooth donuts with glaze.
'9459': The front of a restaurant with someone carrying food.
'9460': A table with a white cup and a cookie next to a toilet.
'9461': 'A GREEN TABLE WITH A OLD RUSTY BLENDER AND A PRINTER '
'9462': Dozens of people on bikes are riding around a metro area.
'9463': 'A sculpture of two women stting on a bench with their purses on
the ground while people standing in a line behind them. '
'9464': A young girl holding a formal dress, and a young man holding a tie.
'9465': A couple of computer monitors leaned against a wooden desk.
'9466': A couple of yellow signs and a traffic cone are near a taxi.
'9467': People are walking across the street at a parking lot and an intersection.
'9468': A man riding skis on top of a ramp.
'9469': A restroom with a toilet and a red colored stall.
'9470': An ambulance parked on the side of the road.
'9471': A young skateboarder talking into a microphone and a camera.
'9472': A group of boys in suits holding a chalkboard.
'9473': A kitchen that has a vase of flowers on the table.
'9474': A man is on a surfboard with a kite.
'9475': A bathroom sink across from a toilet and blue trashcan.
'9476': A bedroom done in floral prints with red and black pillows.
'9477': A large body of water with three boats floating on top of it.
'9478': 'A very large teddy bear that is sitting in a chair. '
'9479': An older man is sitting on the bus above a movie advertisement.
'9480': A small child and a dog playing with some toys in a field.
'9481': A man is falling off a skateboard down the side of a ramp.
'9482': A family are playing frisbee on the beach.
'9483': A toilet in a tiled stall without rainbow streaks around the room.
'9484': Two men with back packs and canoe paddles.
'9485': One elephant standing next to the rest of the herd, drinking water.
'9486': A man dressed in colorful snow gear stands on skis in the snow.
'9487': 'A woman poses in a dress next to a hair dryer. '
'9488': A vending machine that has some toys in it.
'9489': A large plant sitting on a sidewalk in front of a brick building.
'9490': A dog is jumping to catch a Frisbee in his mouth.
'9491': 'a herd of elephants standing in a water hole with a crowd of people
watching '
'9492': A man skiing down a snowy hill crowded with people.
'9493': A person holding many papers and cutting one with scissors.
'9494': Two tigers in a zoo behind a wire fence.
'9495': A man holding a tennis racket in his hand while on the tennis court
'9496': Two teddy bears that are large sitting in a small garden with a
birdhouse.
'9497': Four bowls of trail mix, vegetables, and crackers are on the table.
'9498': a single giraffe walking towards a group trees
'9499': A woman is standing in the middle of the snow with orange and black
ski sticks as the sun rises in the background.
'9500': Some children playing with a toy in a small field.
'9501': 'an old fashion double oven cook stove with a griddle '
'9502': A woman on a tennis court getting ready to serve the ball with a
water bottle next to her.
'9503': A group of people that are sitting at a table talking.
'9504': a dog laying next to some white blankets on a colorful bed
'9505': A woman in white shirt and shorts playing a game of tennis.
'9506': A sign pinned to a tree next to a parking meter.
'9507': A water fountain with two stuffed animals on top of it is sitting
in a patch of dirt next to a statue.
'9508': 'A group of people in the back of a dump-truck. '
'9509': Monkeys and giraffes are standing in a wooded area, touching heads.
'9510': A glowing stop sign installed upside down on a street corner.
'9511': A small closed toilet in a cramped space.
'9512': A bathroom with white painted walls and gray tile near the bathtub.
'9513': A calico cat is sitting on the sidewalk next to a car at night.
'9514': a hotel room with one bed and blue chair.
'9515': A desk with two computer monitors, two mice, a cup and a keyboard
on it.
'9516': Frisbee in the air, a dog squatting looking up at it, and a man
sitting behind the dog watching it, on the grass with a tree.
'9517': A living room with grey and red walls, rectangular windows, and
white furniture.
'9518': A plastic tree with a candy cane and a doughnut hanging by a strip
of red ribbon.
'9519': The front of a restaurant with a dog and someone holding up food.
'9520': Three monkeys ride on the back of an elephant.
'9521': A bird sits atop a carved wooden post and watches its surroundings.
'9522': Black and white photograph of young ballerinas.
'9523': People fly kites near a fountain in a large park in the middle of
a city.
'9524': A man flying a kite with two strings on a beach.
'9525': ' A couple of detour signs sitting on either side of an orange cone.'
'9526': A woman, a small child, and a toy car watch a train as it passes.
'9527': This is a snowboard on the edge of a back flip.
'9528': Lasagna on a serving tray with empty plates next to it.
'9529': Closeup of a plate of food that includes chicken, mushrooms and
broccoli.
'9530': A single girl walking down the sidewalk under a sun umbrella.
'9531': A baseball player outside in a red shirt is ready to hit the ball.
'9532': A table topped with a white plate covered in three donuts and a
fruit bowl.
'9533': Three old men at a table eating breakfast at a restaurant.
'9534': People are walking in the rain holding umbrellas and phones.
'9535': A big bin filled with some ripe yellow bananas.
'9536': Bicycles stand near the curb behind a lime green double-decked bus.
'9537': There is a small steel fridge and a plant in this kitchen with wood
tiles.
'9538': A bunch of new refrigerators in front of an open door.
'9539': A man with a rubber duck taking a selfie in the bathroom mirror
while holding a toothbrush.
'9540': A painting of a vase and a book with a sunflower on a table.
'9541': A person is standing across from a pizza ready to be served.
'9542': 'An hand pets a cat in a suitcase. '
'9543': A child with a white umbrella, with two dogs.
'9544': A traffic light with a one way sign far from a trash can.
'9545': A salad is in a red container and has lettuce, tomatoes and roasted
bits of carrots in it.
'9546': A chicken walking around on the ocean shore.
'9547': A child and a dog sitting between their feet on a footstool watching
TV.
'9548': aerial view of suitcases grouped together waiting on a sidewalk
'9549': Two giraffes nudging over a pole in a deserted area.
'9550': a bunch of elephants are standing by a body of water
'9551': An old photo of a little girl standing beside her dad.
'9552': a tennis player is serving the ball to his opponent
'9553': The man in the diner and the woman looking into the window are making
eye contact.
'9554': A large elephant standing next to a bunch of trees.
'9555': A tram and a car make their way through town.
'9556': View of two desks with chairs next to a fireplace in an old style
living room.
'9557': A woman standing in a kitchen making food.
'9558': Some snow skiers, one in a blue jacket and the other in black.
'9559': Workers in fluorescent orange jackets standing under a fluorescent
yellow umbrella.
'9560': An airplane flying in the sky over some trees and a lake.
'9561': 'A Tenn player that is returning a tennis ball back to his opponent. '
'9562': A black cat standing on top of a gray car.
'9563': Men are riding horses while going through the river.
'9564': A brown and white cow and a horse standing in front of an iron fence.
'9565': Two monitors topped with a laptop on a computer desk.
'9566': Black and white photograph of a tractor on a beach with a lighthouse
next to boats.
'9567': The batter is tapping his bat on home plate.
'9568': A teddy bear sitting in front of a pile of boxes.
'9569': A man walking with a goat next to him.
'9570': An image of a school approved lunch in a tray with a fork.
'9571': A clock set to twenty after three in a field surrounded by sunflowers.
'9572': A young man takes a picture of himself in the mirror.
'9573': A plane flying straight up and high in the sky leaves a tail of
smoke.
'9574': A kitchen with a yoga mat and a table and four chairs.
'9575': A can of spam with sandwiches next to plates.
'9576': Two tea pots with a white stove top oven on top of them.
'9577': A frog sitting inside of a sink in the bathroom.
'9578': a small room with a tiny cot, little sink and toilet
'9579': A black-and-white picture of a spinning rack full of doughnuts.
'9580': A pile of green bananas in front of a woman's shoulder.
'9581': A plate with five red cups, a pineapple and some oranges on a table.
'9582': Two formally dressed women are crossing the street.
'9583': 'Two buses in city with other cars and trees. '
'9584': a cat is rinsed off with soap and aqua
'9585': Three horses grazing in an open field.
'9586': An ice cream truck parked outside in a parking lot.
'9587': A homemade cheese pizza and salad are on the table with crackers.
'9588': An office desk with a computer keyboard and mouse.
'9589': Cars are parked on the street near an old building and a bicycle.
'9590': A large truck on a city street with two works sitting on top and
one worker climbing in through door.
'9591': A man holding an umbrella next to a waterway.
'9592': A traffic light with a one way sign near a trash can.
'9593': A man is standing nearby a snowy hill with his skiis.
'9594': Several people are swimming in the ocean with two empty chairs and
an umbrella on the beach.
'9595': Two women are holding many colorful, heart shaped cakes.
'9596': A woman sits on a motorcycle with a sidecar.
'9597': A couple and their small baby girl are sitting on a bench under
an umbrella.
'9598': A woman smiles from behind the book she has been reading.
'9599': A cat is laying in an open suitcase next to some clothes.
'9600': A buffet with many pizzas lined up behind glass.
'9601': A person riding skis on a snowy slope while a hot air balloon floats
in the sky above.
'9602': A dog chewing on top of a large white ball.
'9603': A giraffe standing next to a very large tree.
'9604': A show floor with a shiny blue motorcycle surrounded by bars.
'9605': Two pieces of luggage and a guitar stand next to each other.
'9606': A table topped with a cake covered in berries next to a plate of
sandwiches.
'9607': A painting next to an older tube television.
'9608': A swarm of bees are buzzing and collecting nectar in a field.
'9609': A surfer paddles over a wave with a dolphin in clear blue water.
'9610': A picture of a couple that just got married sitting on a bed.
'9611': A yellow train with a white front running on rails.
'9612': A man is cooking in an outdoor state of the art commercial looking
oven in the midst of a farm.
'9613': A bus driving in a city area with an ice cream truck and traffic
signs.
'9614': A man holding a bike helmet standing next to a bicycle.
'9615': Two people riding horses on a riverbank.
'9616': The man is meditating in front of the mirror with a candle.
'9617': The baked asian dish is filled with several different ingredients.
'9618': Two small girls wearing blue jackets pose for a photo.
'9619': A bathroom with a mirror, sink, and shower.
'9620': A man talking on his cell phone with his other hand in his ear.
'9621': A bagel machine is making bagels while people people work in the
background.
'9622': A small elephant walks underneath a big elephant and a zebra.
'9623': A man juggling oranges with puckered lips.
'9624': Some very nice looking boats in the water.
'9625': People sit around a table that is covered in liquor bottles.
'9626': A blue and silver train next to train station and trees.
'9627': This is a broccoli carrot soup with a lot of broth.
'9628': A couple of men in front of a television with a remote.
'9629': A little boy holding a white Nintendo Wii game controller.
'9630': A child playing with a plastic bat and kite in a yard next to a
garage.
'9631': A bowl holds a large salad with broccoli.
'9632': A doll sits on a floral patterned chair.
'9633': A sideways view of a pizza on a pizza stone.
'9634': Several women gathered together posing with 6 pizzas and tacos in
take out boxes.
'9635': A crate on top of a car holding a guitar.
'9636': A group of people flying kites on a grassy field next to buildings.
'9637': a city street at night with a lit clock on the corner
'9638': The man with the black sweatshirt carries a wooly sheep.
'9639': A teddy bear and a train toy are set next to each other with a stuffed
fish.
'9640': An overhead view of a pizza on a pizza stone with a rolling pin
nearby.
'9641': a woman is striking a ball with a racket
'9642': Some cinnamon toast, eggs, and a banana that are half eaten on a
table.
'9643': Some office supplies that have been grouped together.
'9644': Picture of a plate with a fried egg and a salad.
'9645': A closeup of a pizza with lettuce and bacon.
'9646': A woman with a hat, tie and long halter smoking a striped cigarette.
'9647': A man is flying a kite at the beach.
'9648': A boy sitting on top of a couch under a pink blanket.
'9649': A little boy sits on a chair with a bed next to it.
'9650': A woman walking down a street smoking a cigarette.
'9651': A ball and a stop sign put upside down on a metal pole.
'9652': Three chairs sitting in a room near a mirror.
'9653': Two hot dogs in buns aside from a white plate.
'9654': 'Guys sitting at a table eating pizza and talking '
'9655': Several children watch while a girl in a black sweatshirt plays
with a Wii remote while another person with a little girl on their lap
snuggle in a chair in the background.
'9656': A carriage pulling a horse on a narrow path.
'9657': 'An elderly woman sitting on the bench resting. '
'9658': 'A bunch of pottery sitting on a sidewalk '
'9659': 'A bench on cement in a park '
'9660': Two people sitting on a bench with an umbrella next to the ocean.
'9661': a man in mid air while riding a motor bike
'9662': A young woman skiing through a snow covered forest and over a river.
'9663': MAN ON A CONTRAPTION, SURROUNDED BY A BICYCLE AND ANOTHER PERSON
'9664': A herd of elephants are marching triumphantly through a river.
'9665': A broken city bus parked on the side of the road.
'9666': Men standing alone on different sidewalks.
'9667': Two large airplanes flying through a blue sky.
'9668': A calm looking man in the mirror about to brush his teeth.
'9669': A very big work station with a bunch of computers.
'9670': there is a small steel fridge in this kitchen with wood tiles
'9671': A smaller screen showing a person wearing a suit.
'9672': A child holds a toothbrush halfway out of their mouth while brushing
their teeth.
'9673': A statue of a bear wearing a red ribbon and a bird perched on its
shoulder.
'9674': A spotted herd of three horses standing on top of a green field.
'9675': An assortment of doughnuts are arranged in a display case next to
a coffee pot.
'9676': A glowing sign on a sidewalk has a teddy bear on it.
'9677': A very tiny teddy bear that is sitting in a chair.
'9678': An empty bowl sitting on a table next to a fork that rests on top
of a circular disk.
'9679': A woman showing off her pink fluffy heels.
'9680': A low flying airplane below a parked silver van.
'9681': Outside shot of a restroom showing the door completely shut.
'9682': The young man possesses a very unusual face.
'9683': A little boy and a dog with a pink blanket and a remote control
sitting on a couch.
'9684': Two giraffes, one grown and one baby, standing next to each other
'9685': A couple celebrating a birthday in a kitchen.
'9686': A sign with the word "Pub" hangs behind several liquor bottles.
'9687': A bird and a fish clean themselves next to a body of water.
'9688': 'THERE IS A RED TRUCK THAT IS ON THE STREET '
'9689': A little boy with headphones and a red baseball cap playing tennis.
'9690': A plate holding a grilled cheese sandwich and mug of soup.
'9691': A left-handed little boy with a red baseball cap playing tennis.
'9692': A white with red striped bus is stuck in the slow lane on a freeway
surrounded by several other cars.
'9693': Several people walking on a bridge, with one man holding an umbrella.
'9694': Model of two cars with a man near a red phonebooth.
'9695': A man standing in a kitchen making food.
'9696': A boy running while holding onto a kite string.
'9697': A man in black shirt and white shorts on a tennis court.
'9698': Several people crossing a road with one person having food on their
head.
'9699': There is an empty tiled bathroom, with two sinks and two mirrors.
'9700': A bathroom that has a broken wall in the shower.
'9701': A young girl and a boy with video game controllers in their hands.
'9702': 'an old photo of a boat parked next to the dock '
'9703': Several boys are recording a performance on a cellphone of a young
person.
'9704': Several rows of Crush soda in bottles and apples in a refrigerator.
'9705': A airplane is flying through a cloudy blue sky.
'9706': A cat sitting in the sink in the bathroom with a bottle of shampoo
nearby.
'9707': A man guiding a pony with a boy riding on it.
'9708': A person snowboarding in an open area of snow.
'9709': A man in a black jacket is flipping through a large book.
'9710': A man and a child with tennis rackets walk from the net of a tennis
court.
'9711': A man riding a skateboard and holding a microphone.
'9712': A baby holding a spoon looking at a cupcake and candle.
'9713': A man talking on a cell phone outside of a bank.
'9714': A computer with a camera is set up on a tripod.
'9715': two dogs laying down on a brown couch
'9716': An advertising billboard featuring an abstract elephant with a howdah
on its back.
'9717': 'Some Zebras and cattle are standing together, some eating. '
'9718': A watering flower is in a purple can on the window sill.
'9719': A far shot of many drinks in a fridge.
'9720': There are two slices of pizza next to a paper plate.
'9721': A laptop computer, a desktop computer, and a printer are on a white
desk.
'9722': A teacup and a plate of scones covered with chocolate sauce are
on the table.
'9723': A plastic bear with a hammer next to a peg board toy.
'9724': A table topped with a sandwich, chili beans, a container of fries,
and a muffin.
'9725': Some toy animals hanging on the wall near a picture.
'9726': A nicely decorated living room with a bookshelf and dining area.
'9727': Two men ordering food from a small outside restaurant.
'9728': A woman throwing a hot dog on the street.
'9729': Two small children holding remote controls while lying on a floor.
'9730': A large pot of meaty soup with a large wooden spoon.
'9731': People in a grocery story that sells fruit and drinks.
'9732': A black cat is sitting on top of a bathroom sink.
'9733': A cat and a bird are sitting on a bench in front of a building.
'9734': Two horses stand outside in their corral, with mountains in the
background.
'9735': 'An old fashion sink with the cover painted pink near the mirror. '
'9736': A man holding a baby taking a picture.
'9737': A living room with white furniture and a small wooden table.
'9738': A man is playing with a yellow flying disk.
'9739': A couple of little girls sitting next to each other with a rubber
duck in a bathroom.
'9740': A carved bear that has a ribbon around the neck.
'9741': The man stands next to the large brown horse.
'9742': A living room decorated with a modern theme has an aquarium.
'9743': A group of sheep in a grassy area with trees in the back ground.
'9744': Two slices of pizza on a white plate.
'9745': A man standing in front of some Clysdale horses in front of some
houses.
'9746': The toilet has a red cover with a sparkly object in front of it.
'9747': A collage displays colorful deserts and fresh flowers.
'9748': Some are standing outside a building with suitcases.
'9749': A woman holding a hot dog on the street.
'9750': Two cats are outside and perched on someone's worn sneakers.
'9751': A couple is sitting in front of a wedding cake.
'9752': A close up of a bowl with fruits and broccoli.
'9753': The clock is far from the roof of a building.
'9754': A woman is cutting and preparing two pizzas.
'9755': Three skiers climb up a snow covered hill.
'9756': A woman is striking a ball with a paddle.
'9757': A black cat sits in a bathroom sink.
'9758': They are going to serve pizza topped with pineapple for lunch today.
'9759': A brown chicken standing on top of a lush green field with sunflowers.
'9760': This is a black and white photo and a painting of a white kitchen.
'9761': A group of men standing around a sidewalk together.
'9762': A couple of men standing next to train tracks.
'9763': A black and white photo on a desk with a keyboard and monitor.
'9764': A toilet lid is closed next to a bathtub with a pink curtain and
white tile wall.
'9765': A boy with an umbrella in a chair.
'9766': A person is falling down a snowy slope.
'9767': A group of giraffes drink crystal clear water in the wilderness.
'9768': A tattooed white woman with a blue surf board.
'9769': Many small puppies are posing together in the black and white photo.
'9770': Two stuffed teddy bears sitting on an ornate wooden chair in a yard.
'9771': A white dog sitting on red table next to metal object.
'9772': A rabbit is laying in an open suitcase on top of some clothes.
'9773': A stop sign that is attached to a broken wooden pole.
'9774': Two peanut butter and jelly sandwiches sliced in half and a fruit
salad.
'9775': A man taking a photograph of himself and his friend eating a pizza
slice.
'9776': A woman holding a shiny racquet on top of a tennis court.
'9777': A woman in a white dress and a man in gray stand near a cake on
a white table under a white canopy.
'9778': A group of dogs that are lying in the grass.
'9779': A tennis player is jumping and reaching to hit the ball.
'9780': A diminutive fire hydrant rising though a suburban sidewalk and
a mailbox.
'9781': A city sidewalk with an ice cream cart and people walking up and
down.
'9782': A woman and a dog pose in front of a large pizza.
'9783': Street signs going in every direction in front of a yellow building.
'9784': some douchey kid in vest who is about to fail at kite flying.
'9785': room with wood floors and a stone fire place
'9786': A very large semi truck without any load is parked.
'9787': A wooden screen TV sitting on top of a flat bench.
'9788': An orange, black and white cat next to a car.
'9789': A bathroom without orange decorated wallpaper and a mirror.
'9790': A group of women standing next to a cake.
'9791': A closed box of doughnuts on a table.
'9792': Two people sitting on a bench facing away from a body of water.
'9793': Plates of pizza and salad with silverware next to ketchup and other
condiments.
'9794': An airplane is parked next to a squared tower.
'9795': A tall monitor and a flower vase are near a keyboard and a mouse.
'9796': A vase and two plastic containers are sitting on top of a wooden
table.
'9797': Two people sitting on a hammock overlooking a body of water.
'9798': A flock of seagulls are playing on a beach.
'9799': A group of sheep sleeping in a grassy valley.
'9800': A man talking in front of a photo of a black and white sofa with
an orange fence behind it.
'9801': A cat is rinsed off with soap, shampoo, and aqua.
'9802': People playing a game on green grass in front of a building with
a fountain.
'9803': A couple with balloons are celebrating a birthday in a kitchen.
'9804': A pen sitting on top of an electronic devise
'9805': A toilet without sinks and mirrors with lights on.
'9806': A goat sits propped against a grassy surface.
'9807': A bowl filled with food on top of a wooden table.
'9808': The personal sized pizza is on a table in the restaurant full of
plants.
'9809': Two soccer teams and cheerleaders are going after the soccer ball.
'9810': A large passenger airplane flying through a full moon in the sky.
'9811': A small bear and a bird near a polar pond.
'9812': A group of zebras walking toward trees.
'9813': Four bowls of snacks of vegetables and crackers.
'9814': A cluttered room with a bed, a desk, and a television.
'9815': A passenger airplane is taking off into a cloudy sky.
'9816': A red bench on a slanted floor has the Coca-Cola symbol on it.
'9817': A woman is walking her dogs on the city sidewalks through the newly
fallen snow.
'9818': A man holding a hot dog on the street.
'9819': A small child holds two video game controllers.
'9820': Two young girls petting sheep in a pen.
'9821': A bathroom with toilets and mirrors.
'9822': A donut being used as a snack for someone near a Christmas tree.
'9823': A man in a black jacket is closing a large book.
'9824': 'Several people on the beach and some have surf boards. '
'9825': A small baby is holding a white and blue toothbrush.
'9826': Food items displayed such as coffee cake, a pastry and a beverage
beside a glass cup.
'9827': An airport and plane unloading passengers with luggage.
'9828': The bathroom has a wall sink, medicine cabinet, toothbrush holder,
and bare walls.
'9829': A moustachioed couple of men standing next to each other.
'9830': A goat leans propped against a grassy surface.
'9831': A smiling man is holding video game controllers.
'9832': A white toilet and a bath in a room.
'9833': A big car sitting next to some boxes.
'9834': A person with a rainbow umbrella and a kite is looking at the ocean.
'9835': A black and brown dog is wearing a heavy metal collar.
'9836': A presenter is standing next to a large screen at a conference.
'9837': A little boy and a girl are drinking from sippy cups and holding
the remote control.
'9838': A fish eye view of a bus rounding a curve on a rural street.
'9839': A man drinking a beverage from a red bottle.
'9840': An old woman sitting on a bench next to a flower pot and a fence.
'9841': A man reaching out to an elephants trunk near a gate.
'9842': A double sink vanity with mirror, bathtub, toilet, and shower stall
in a bathroom.
'9843': A boat is near the sand sitting in the water.
'9844': The action in an organized dance competition.
'9845': A one-eyed man holding a silver flip phone open in front of his
face.
'9846': Three images of a cherry pie and a cup of tea or coffee.
'9847': A street sign that reads Roma sitting next to a tall building.
'9848': Street markers pointing to few locations in front of different stores.
'9849': A pizza that is in a white pan and sitting on a silver surface.
'9850': Two men play around on a nature trail.
'9851': A person on a skate board is being watched while doing a trick.
'9852': A young person is falling off their ski board in the snow.
'9853': A pregnant woman is in bed reading a large book.
'9854': A woman standing next to a wooden bench by a rock wall.
'9855': A fence is standing behind a bunch of sheep.
'9856': A toaster sits on a kitchen shelf in front of a blender.
'9857': A parking meter has a sign promoting the end to homelessness.
'9858': Some brown horses are grazing in a green field.
'9859': The old fashioned train is going over the bridge.
'9860': A man on a blue raft attempting to catch a ride on a large wave.
'9861': A pack of wolves laying on dry grass.
'9862': there is a cat that is drinking out of the toilet
'9863': A bathtub surrounded with plastic for walls and ceiling.
'9864': Spinach and tomatoes on a slice of pita bread.
'9865': 'a close up of an oven with food cooking on top '
'9866': Two large teddy bears are playing in a small garden.
'9867': A plate of breakfast food and two glasses of juice.
'9868': A woman holding a baby girl while seated in a cafe.
'9869': A man on a surfboard riding a wave with a seagull flying overhead.
'9870': a close up of a vandalized street sign
'9871': A baseball player lunges and throws towards the ball.
'9872': A small cow and a puppy are in an enclosure with straw on the floor.
'9873': A boy swinging a tennis racket in a match.
'9874': A motorcycle parked behind two vans in a parking lot.
'9875': A slanted bench on a red floor has the Coca-Cola symbol on it.
'9876': Scenic boats daily dock at the Thames in England.
'9877': A zebra running through a grassy field by a woods.
'9878': A glass computer sitting on top of a desktop table.
'9879': A young man throwing a blue frisbee while standing on a lush green
field.
'9880': Blue bathroom with two white towels hanging by the shower.
'9881': A picture of a young boy laying on top of a bed.
'9882': A parking meter on the side of the street with a ring for attaching
bicycles.
'9883': Two cellphones are sitting side by side on the glass table.
'9884': A German Shepherd dog wearing a helmet lying on a motor cycle.
'9885': A group of stuffed animals sitting next to each other in bed.
'9886': A room with a bookshelf and some different types of couches.
'9887': A man and a child are catching a green Frisbee next to a field.
'9888': A couple taking a photo of themselves cleaning their teeth
'9889': An empty bowl with a fork is shown in between two children.
'9890': A foot wearing a round pink flat shoe rested upon a bench.
'9891': a blue garbage truck outside a big house.
'9892': A person is running on the beach and catches a Frisbee.
'9893': three people standing in front of trays of doughnuts and bagels
'9894': A woman covered in frosting holds a plate of cake.
'9895': A man standing in front of a few horses on the street.
'9896': A man on sidewalk dropping a zebra strip umbrella.
'9897': A plate without a banana and slices of cheese.
'9898': Two teddy bears a tan one, and a pink one. The pink bear is wearing
a tan shirt that says the harvey girls.
'9899': A pasta with some different vegetables mixed in
'9900': The notebook and pen is laying next to the laptop.
'9901': A painting of flowers in vase setting beside a table with two chairs.
'9902': a man and a large herd of goats in a desert setting.
'9903': Two dotted airplanes flying in the air near one another.
'9904': A black road bicycle leaning against a bed.
'9905': A sheep with short hair stands under a fence.
'9906': The skier is sad to have lost the race.
'9907': A red bike is parked outside of an unbarred window.
'9908': A vase filled with flowers next to a larger vase filled with even
more flowers.
'9909': A chicken and a crab walking around on the ocean shore.
'9910': A woman sitting on a wooden bench viewing some beautiful trees.
'9911': Other kids are playing a game system while a girl looks on.
'9912': An ornate clock inside a building next to a tree.
'9913': The kitchen and patio are clean and ready for us to see.
'9914': A man glares as other people in front of him look on.
'9915': A man and a teenager are holding a baby girl while seated in a cafe.
'9916': A gray cat is sitting in a tall window.
'9917': Goats graze in a lushly green mountain meadow.
'9918': A small bathroom, with a commode, and a bathtub with bath toys in
and around it.
'9919': A statue with two stuffed animals on top of it sitting in a patch
of dirt.
'9920': A red stop sign sitting on the side of a dark road.
'9921': a big colorful black bird with a little beak sitting on a branch
'9922': Dog lies on bed looking towards the camera
'9923': A black and white bird catching a blue flying disc.
'9924': A man on ski's that is in the air.
'9925': An airplane is letting off white smoke against a blue sky.
'9926': Within a bathroom with a sink in the foreground.
'9927': A meal of white meat and corn and veggies on a plate.
'9928': A woman sitting on a beach towel holding an umbrella.
'9929': A bird and a dog are sitting near a bowl of birdseed.
'9930': A man purses his lips while holding up an orange and a banana in
front of his face.
'9931': A man off skis lands on the ground.
'9932': The man is meditating in front of the mirror.
'9933': a brown bear is lying asleep in a hammock
'9934': Many children sit around a person in a Santa costume.
'9935': Three bodies of water with a large boat floating on top of each.
'9936': A polar bear is napping next to a pool of water.
'9937': The waffle has banana slices and a strawberry on the side.
'9938': A white and gray kitten pokes its paw at a mirror and runs away
from its reflection.
'9939': 'White sheep standing in front of a colorful wall in a building. '
'9940': A motorcycle and other cars driving down a multi-laned street.
'9941': ' a man holding onto a little blond girl '
'9942': The giraffe is standing in the shade of the tree next to a water
fountain.
'9943': A woman riding a pink bike next to a man walking.
'9944': A motorcycle is on esplanade at the car show.
'9945': The plate of soup contains a large amount of broccoli.
'9946': A bathroom is very colorful with blue, purple, and red.
'9947': A delicious sandwich layered with pickles and meat and dressed with
avocado lies on a cutting board.
'9948': 'Two men biting a surfboard with a shark on it. '
'9949': A baseball player is still holding a bat and some grass.
'9950': A large stuffed bear sitting outside of a building with a scooter
parked next to it.
'9951': A hawk perched on a piece of wood.
'9952': A flashing flock of birds flying over the ocean next to a beach.
'9953': Two men sharing food at an outside restaurant.
'9954': A yellow horse drawn carriage in front of a white building.
'9955': A dog relaxes on a sofa in a living room.
'9956': a black toilet in a white counter bathroom
'9957': An old dog sniffs a red fire hydrant.
'9958': 'A parking meter with a sidewalk and fence in the background. '
'9959': A group of people standing with remotes in hand.
'9960': Vegetable pieces and knife are kept on table. Cabbage is on the
cutting board.
'9961': A small man and a young boy are talking about a piece of pizza.
'9962': Three men laughing at some pictures from a projector and a painting.
'9963': A double parking meter on a pole with a foldable bicycle rack.
'9964': There are two birds standing on the bowl of food.
'9965': Horses are racing next to motorcycles on a dirt track.
'9966': A woman wearing glasses eating a glazed donut out of doors.
'9967': An orange calico cat is on top of a vehicle next to a tree.
'9968': A street sign is pictured against a brick wall.
'9969': 'A grey dog with a black collar sits outside in the sun. '
'9970': A computer workstation with two additional laptops and a monitor.
'9971': A man and woman lying on a sofa watching tv.
'9972': One elephant standing away from the rest of the herd, drinking water.
'9973': A swan floating in the water near a bunch of grass and rocks.
'9974': A collaboration of pictures of various food items
'9975': A child and a Tenn player are returning a tennis ball back to his
opponent.
'9976': Group of people play video games away from bestbuy.
'9977': This kitchen has a stainless steel stove, black refrigerator and
white cupboards.
'9978': A newly married couple standing next to a four layer wedding cake.
'9979': A sheep stepping on top of a dry grass field.
'9980': A cat curled up on a bed for a nap.
'9981': a huge teddy bear sitting on a brown box.
'9982': Several kites sit on the ground, with a few people in the background.
'9983': A fountain in a garden near a white building.
'9984': A bathroom is very colorful with blue yellow and red.
'9985': Some plants are sitting on a statue of a horse and a couple.
'9986': A small cat is walking behind a bike and an umbrella.
'9987': A person jumps in the air and catches a Frisbee at the beach.
'9988': A group of school children posing for a picture with balloons.
'9989': A computer desk with two monitors and a laptop.
'9990': A cell phone on top of a calculator near a computer keyboard.
'9991': An umbrella on a beach cabana is upturned from the wind.
'9992': Group of soccer players on field kicking ball.
'9993': Donuts in a box and a type of meat on a plate.
'9994': A close up photo of sushi with a lettuce and prosciutto topping.
'9995': A large tusked elephant walking in a wooded area.
'9996': A dinner plate without beans, bones, and veggies.
'9997': Several backpacks lined in rows with luggage tags on them.
'9998': The person has a bag and some magazines laying on the table and
a chair next to it.
'9999': Some people are seen eating several large square-shaped pizzas.
'10000': A large jetliner flying over a dry grass field.
'10001': 'A boy is hitting a tennis ball on a tennis court. '
'10002': A man and woman are taking selfies while eating something fried.
'10003': A large cat and a rubber duck are sitting in a bathroom sink under
a mirror.
'10004': A two door, stainless steel refrigerator under a wine cabinet
'10005': A colorful outdoor umbrella is blown upside down.
'10006': A person uses headphones and a black computer keyboard on a wooden
desk.
'10007': A woman waiting at a bench next to two streets.
'10008': A woman looking at a bench next to a statue sitting on a bench.
'10009': A large blue unlit bridge spanning over a lake.
'10010': A city bus is parked next to a streetlamp on the curb waiting for
people.
'10011': A person leaning up against a metal rail while putting down a rainbow
colored umbrella.
'10012': Two black cats on a couch sleeping peacefully.
'10013': A plate of croissants covered with chocolate sauce.
'10014': A clock tower with a compass sitting on top of it.
'10015': A glass of wine on a plate with a thick crust cut pizza by its
side.
'10016': A woman working with a pair of scissors as she makes cigars.
'10017': Birds flying over sand next to a mountainous area.
'10018': A traffic light vandalized with an "eating animals" sticker below
the lights.
'10019': A little boy standing on a field with a balloon and a kite over
his head.
'10020': A spare bedroom with a bed with a flowered blanket.
'10021': A man carrying a pig on his shoulders.
'10022': A large living and dining room area with a beautiful stone fireplace.
'10023': "An individual is in the open view in the picture. \n"
'10024': A man standing next to a woman in a gray dress.
'10025': Two people walking along a side walk next to a carousel on the
tracks.
'10026': A close up of two cell phones far from one another.
'10027': An elephant drinking water while the rest of the herd is walking
in dry grass.
'10028': A room with some big window in the center of it.
'10029': A stuffed teddy bear sitting beside a metal sculpture.
'10030': A white and red plane and a helicopter parked on a tarmac.
'10031': A lime green room with wooden older style furnishings and curtains.
'10032': A man swinging a wooden tennis racket and hitting a ball on a tennis
court.
'10033': A bathroom has yellow walls, white floors, and a closet in it.
'10034': A group of people crossing a street next to a bend traffic light.
'10035': The sheep with most of its thick and curly wool shaved off stands
near the herd.
'10036': Penned cows eating hay and horses in an indoor facility area.
'10037': The person is looking in the refrigerator while the cat looks on.
'10038': A lot of apples on a wood board for sale.
'10039': A polar bear and two brown bears are playing in water.
'10040': A person with an umbrella and two dogs walking with a sled in the
snow.
'10041': a girl in all black surf boarding in a red surfboard
'10042': A child wearing a baseball cap with a book and a sippy cup.
'10043': A man using his laptop computer while a cat sits on his lap.
'10044': 'The boats are in the water for a peaceful night '
'10045': Those zebras may have lost their parents and they could be nearby
a watering hole.
'10046': A bunch of stacked tubs are lined up next to each other.
'10047': Two buses parked in a parking lot next to cars.
'10048': A man and a dog in jackets and hats look at the camera.
'10049': A TV in a bathroom mirror far from the sinks.
'10050': A couple of people that are walking beside some grass.
'10051': The small bathroom has a toilet with a white seat.
'10052': A tram, bus, and car make their way through town.
'10053': A large digital clock mounted to a wall.
'10054': Three zebras stand side by side looking at a giraffe.
'10055': A close up of jelly-filled glazed donuts that are plain or with
chocolate.
'10056': A large airliner with a kangaroo on the tail wing.
'10057': A messy room with door and bed and chair.
'10058': Set of red animals sitting in front of a wooden toy wagon.
'10059': A green netted bed in a light filled bedroom.
'10060': 'A red yellow and blue airplane is sitting on the runway. '
'10061': A pile of different colored bags of books sitting on a floor.
'10062': A barge floating down a river with the skyline in the background.
'10063': A baseball player grabbing a bat and a glove, in a game.
'10064': Two vases filled with candles on a table.
'10065': People walking past a homeless man begging on a city street
'10066': A display of a momma bear and her cub.
'10067': A man sitting on a bench with a church behind him.
'10068': A man and a woman are skiing down a snowy field.
'10069': A group of people sunbathing on the beach.
'10070': A man walking down a street smoking a cigarette.
'10071': An elephant lying in a shaded clearing in a wooded area.
'10072': A vehicle and a motor bike on the beach.
'10073': A woman poses in a dress far from a hair dryer.
'10074': Woman in tennis shirt getting ready to hit red ball.
'10075': A grandmother is holding a white and blue toothbrush.
'10076': a bathroom with black walls and a toilet with a silver toilet seat
'10077': A swimming competition with one of the swimmers diving into the
pool.
'10078': A woman is sitting on a carved old wooden bench.
'10079': some construction stucks pared on the side of the road
'10080': A slice of pizza with toppings on a shimmering plate.
'10081': Two men watching an elephant behind a wire fence.
'10082': The shiny motorcycle has been put on display.
'10083': A group of people riding motorcycles and bicycles on a race track.
'10084': Two birds having a close call in the sky.
'10085': A small toy sits on a plate with pizza and crusts.
'10086': A parking meter in front of building windows.
'10087': A surfer and a dolphin coming in on a large wave.
'10088': A piece of dutch chocolate cake with a spoon on a plate.
'10089': The woman stands next to the large brown horse.
'10090': Two girls are playing a board game and the Wii game system together.
'10091': A metal cat is sitting on a black platform.
'10092': A tasty looking sandwich that is wrapped in plastic.
'10093': A crowd watching a professional baseball game on a sunny day
'10094': Several people standing in the snow near trees.
'10095': A dog and a cat curled up together on a couch under a blanket.
'10096': A street light in front of a colorful train on a bridge.
'10097': Two dogs are sitting on a pair of shoes outdoors.
'10098': A bird is sitting on a bowl of birdseed.
'10099': A red cat sits on a black and white cloth that is over a television
set.
'10100': A woman stands and shows her tie off.
'10101': A restroom with two sinks, a red colored stall, and a shower.
'10102': Two men holding smart phones facing away from each other.
'10103': The bedroom is empty with the television on.
'10104': Several people with kayaks on the beach and some have surf boards.
'10105': A pitcher, catcher and umpire during a baseball game.
'10106': A pigeon is perched on a laptop on a bench.
'10107': A trio of zebras and a group of giraffes stand together in the
grass.
'10108': A couple of slices of pizza and coke cans are sitting on white
paper.
'10109': A woman standing in a kitchen with a small puppy.
'10110': A scenic view of a valley with mountains in the distance.
'10111': Curious sheep on a large, well used pasture with a pond.
'10112': Some office supplies and books have been grouped together.
'10113': Child's bed and colorful quilt surrounded by blue plastic walls.
'10114': Fancy food and candles on a plate on a wooden table.
'10115': A bird with outstretched blue wings is feeding from a bird feeder.
'10116': a close up of two people riding a motorcycle
'10117': Three sausages covered in various condiments side by side
'10118': A giraffe stands in high grass in wooded area.
'10119': A polar bear pokes his head and one paw out of the water near an
iceberg.
'10120': The open door to the bathroom is shown here.
'10121': A woman with blonde hair and sunglasses plays a video game.
'10122': Little girl holding up a big stuffed animal with other children
in background.
'10123': A white plate with some broccoli and meat.
'10124': A woman chatting on a busy street.
'10125': A solo player is holding a video game remote controller.
'10126': A church with a clock stands behind a fence
'10127': A man in black is playing on a tennis court.
'10128': An iPad is sitting on a desk.
'10129': A young woman is hiking up the mountain slope.
'10130': The landing airplane comes in very close to the red vehicle in
the road.
'10131': A monitor is displaying a blue screen on the desktop as it sits
next to two speakers, a keyboard and a mouse.
'10132': A boy awake on a large bed under a mosquito net.
'10133': A tall man and a child are on snow skis on a pathway.
'10134': Interior bathroom shot of a bathtub and white sink fixtures.
'10135': A white chicken standing on top of a lush green field.
'10136': A group of people walking on a sidewalk next to buildings.
'10137': A man kisses the top of a woman's head with a flower in his hand.
'10138': Platters of food are set in different kitchens.
'10139': A bowl full of food sitting on a table next to a fork that rests
on top of a circular disk and a spoon.
'10140': A bunch of cars and motorcycles parked in a parking lot.
'10141': A blue commuter train coming out of a train tunnel.
'10142': A man fixing an open mechanical clock.
'10143': A man standing in a grass field with a dog in front of him and
frisbee type toys thrown in the air.
'10144': There is a woman and a flower vase in front of a mirror.
'10145': A man pretending to punch a giraffe sculpture.
'10146': A computer user types two-handed on a keyboard.
'10147': A group of people next to a beach riding surfboards.
'10148': Two jets are flying against a backdrop of fluffy white clouds.
'10149': The scissors sit in a container with pens and paintbrushes.
'10150': A man is standing on a skateboard at a skate park.
'10151': A counter topped with a tiny white frosted cake sitting next to
small pastry.
'10152': A blurred action photo of a girl and a dog throwing a disc.
'10153': A woman holding a wild animal in her arms
'10154': A map of the Boston subway printed on a statue of a cow.
'10155': A living room with red, leather furniture and a brown wall.
'10156': A red dog running with a black round frisbee.
'10157': A little boy with a red baseball cap playing basketball.
'10158': A large tall building with a clock on the top and a fountain in
front of it.
'10159': A calculator and cell phone lay on a desk in front of a keyboard
'10160': A couple of people are crossing a busy street
'10161': An empty monitor and a laptop sit on a desk in front of two chairs.
'10162': 'A pile of carrots for sale in an outside market. '
'10163': Several people standing in the snow far from trees.
'10164': A fire hydrant that has a flower pot and stars and stripes on it.
'10165': A skier stands on a small ledge in the snow.
'10166': People are walking across the street at an intersection.
'10167': An airplane is flying through a cloudy blue sky with a rainbow.
'10168': A tall building with multiple street signs in front of a pole.
'10169': A woman feeds an elephant as a couple men watch.
'10170': A bathroom with black and white bathtub and a tiled floor.
'10171': Two fire hydrants stand at the corners of a city street.
'10172': An image of a small number of suitcases in a pile.
'10173': Two game birds with red heads on the sidewalk.
'10174': A woman sits on a bench underneath trees.
'10175': A blue man walking down a city street next to two poles.
'10176': Two cooked hot dogs on an ornate plate with parsley.
'10177': A man is preparing pancakes in a charming white kitchen.
'10178': A tower of a gray and white building has two weather vanes and
a clock.
'10179': A group of people walking down a street next to tall buildings.
'10180': some people are riding surfboards on a wave
'10181': Looking up at a clock tower with a flag and a weather vane.
'10182': A market stand with many different kinds of fruit.
'10183': A dog laying next to some plain blankets on a white bed.
'10184': A big bowl filled with some pasta and meat and veggies.
'10185': The cake and pudding are prepared and ready to be eaten.
'10186': A group of animals standing on top of a grass covered field next
to a pond.
'10187': A child and an old person are holding tennis rackets.
'10188': A woman sitting on a bench next to a flower pot near a statue,
checking her phone.
'10189': A man laying on top of a sandy beach.
'10190': There is a phone on top of a calculator
'10191': A close up of a vandalized mailbox.
'10192': A tan utility truck with a blue interior.
'10193': A sheep that is standing under a wooden plank from a fence.
'10194': Several seagulls are flying over horses on a beach.
'10195': Two adult bears play fight in the freezing water.
'10196': A person is watching waves from the shore.
'10197': A man on a skateboard touching the ground coming on to a ramp.
'10198': 2 women, one holding a cake, the other holding up her index finger
'10199': A bathroom with a toilet, a plant, a stand, several footwear, and
a towel on the floor.
'10200': An airplane is flying over a runway.
'10201': A group of zebras in a field by some trees.
'10202': A large mug showing pirate skull and bones and a white knife on
a counter top.
'10203': A girl draped in a blanket holds a remote control on a couch.
'10204': A man with beard holding up a plate of food.
'10205': Three people ride on an elephant in front of a foggy forest.
'10206': A young man kneeling down while riding neon green skis.
'10207': A bathroom with white walls and blue tiles.
'10208': A long orange train traveling along a tree filled forest.
'10209': A storage tub with several vegetable toppings sitting on a pizza.
'10210': 'two teddy bears at a table with honey
'
'10211': All of these men are using their cell phones.
'10212': A child with a messy face playing with a plate of food with hands.
'10213': A vase with a handle has wild flowers in it.
'10214': An odd looking toilet is away from the wall.
'10215': Two peanut butter and jelly sandwiches sliced in half
'10216': A herd of cows lay down on some grass next to a stream.
'10217': A bear is climbing up a snow covered mountain.
'10218': a home bar with different drink ingredients under a large decorative
sign saying, "PUB".
'10219': A couple of pieces of very nice looking luggage and a backpack.
'10220': 'An audience is looking at an film of a man taking that is projected
onto a wall. '
'10221': A boy riding a boogie board with dolphins in the ocean waves.
'10222': A red stop sign with paper with writing on top of it.
'10223': 'a person riding a two thick wheeled bike on sand '
'10224': A man sitting in the stands watching people play tennis.
'10225': A boy wearing yellow is holding a pizza in a box.
'10226': A living room without white furniture and a small wooden table.
'10227': A duvet dog sleeps on a large comforter.
'10228': 'A man holding an oven door open while he looks in it. '
'10229': A lamp is on a table with a plate, wine-filled glass, and bread,
among other items.
'10230': A collection of luggage and an umbrella have been placed on a wooden
carrier.
'10231': A man in a red hat, suit, and blue striped tie walks past two other
men on a street.
'10232': The inside view of a large decorated church.
'10233': a man glares as other people behind him look on
'10234': 'A skier is crouched down as he is skiing. '
'10235': A woman with suitcases waiting for a train.
'10236': A woman golfer hitting a golf ball.
'10237': A plant and a toilet standing in a room.
'10238': A man in a sweater and hat looks at the camera.
'10239': A woman holding a skateboard and a microphone.
'10240': A man holding a glowing stick while looking up.
'10241': A woman standing in the rain with an umbrella with a herd of deer
behind her.
'10242': A squirrel sitting in a tree, staring at the camera.
'10243': The double-decker bus is pulling off to the side of the road.
'10244': A picnic table in sand, underneath a tree.
'10245': A bowl filled with leftover food sitting next to a banana.
'10246': A baseball player holding a bat as a ball approaches.
'10247': A ground of people sitting around a table holding wine glasses
in their hands.
'10248': Pedestrians walking on a sidewalk by a badly tipped traffic light
'10249': A man relaxing at home, watching television with his dog.
'10250': A cat sitting on a blue comforter with pink sheets.
'10251': A blue fire hydrant and a scooter posed on a street corner in a
city.
'10252': A woman getting ready to eat seafood on the table.
'10253': 'A yellow truck is sitting in high grass. '
'10254': Camera equipment is set up in a room with vending machines in the
background.
'10255': Sheep are beside a grassy field and one of them is a white and
black baby.
'10256': ' A plate containing potatoes, carrots and chicken. '
'10257': A giraffe eats leaves from a basket in an enclosure.
'10258': A white table with marble plate holding a pizza.
'10259': A small child is next to a laptop on a bed.
'10260': A bunch of bananas and a pineapple in a metal bowl.
'10261': A large brown dog standing on the side of a white wood fence.
'10262': Three zebras and some gazelles are standing together in a grassy
field.
'10263': A woman in blue jacket standing on a snowboard.
'10264': A small dragon character is on a plate of pizza.
'10265': 'The meal is being prepared in the big pot. '
'10266': this bathroom has pink tiles in the shower and is painted blue
'10267': A rack with some spiral-shaped doughnuts in a glass case.
'10268': A clean bathroom with mirrors, sinks, and a shower.
'10269': A man taking a photo of his food with a cell phone.
'10270': People walk down a busy city street lined with skyscrapers and
a traffic light.
'10271': The woman in the diner and the man looking into the window are
making eye contact.
'10272': A man with thick black glasses holds a hotdog.
'10273': A vase and a candlestick with various flowers in it on a display
case.
'10274': A dinner plate that has white steamed rice with stir fry vegetables
and chicken.
'10275': There is a white horse pulling a trolley behind it.
'10276': Hot dog on a roll with cheese, onions, herbs, and mustard.
'10277': a couple is sitting on a statue of a horse and some plants
'10278': Couch and chair near window with lacy curtain and a wood table
in the center and a table with flowers between the couch and chair.
'10279': Two striped dogs lying with two sneakers on a ledge.
'10280': The cell has a toilet and a sink in it.
'10281': Small train like structure riding down a train way.
'10282': A kitchen with wine glasses, a sink, dishwasher, and boxes on the
counter.
'10283': 'A bunch of dogs running around in a field '
'10284': A monitor is displaying two screens on the desktop as it sits next
to a blue speaker, a keyboard and a mouse.
'10285': A trio of teddy bears loose on a bed.
'10286': A man drives a motorcycle down a road in the fog.
'10287': A man taking a selfie while eating pizza.
'10288': A beautiful woman leaning against a brick wall.
'10289': a girl wearing an orange shirt on some grass
'10290': a large campaign trailer parked in a parking lot.
'10291': A woman holding a fork and reaching for a slice of pizza.
'10292': A group of zebras are lying down together by a rock wall.
'10293': A girl is standing by a storefront while texting on her phone.
'10294': Large stuffed bear sitting outside of a building.
'10295': a toilet with a teddy bear sitting on the seat .
'10296': All of the striped cows are poking their heads out, eating some
hay.
'10297': A woman is sitting with a guitar and a suitcase on some train tracks.
'10298': School boys sit cross legged in front of a chalkboard sign in a
vintage black and white photo.
'10299': A cowboy is talking to a horse in a huge pasture.
'10300': A man in a white shirt tossing a red frisbee.
'10301': A professional baseball holding his bat at home base.
'10302': The modern train is going over the bridge.
'10303': Several broccoli plants planted next to a graffitied wall.
'10304': A group of people standing on the side of a road.
'10305': An old fashion sink with the cover painted pink near the smudged
mirror.
'10306': a large screen showing a person wearing a suit
'10307': a comfortable living room with brown leather couches and a fireplace
'10308': A grassy field with zebras and gazelles in it.
'10309': A woman sitting at a table behind a pile of luggage.
'10310': Two people sitting on a bench with an umbrella overlooking a body
of water.
'10311': A bunch of cakes are stacked on the counter.
'10312': 'A man works on his laptop in the dark. '
'10313': A little girl is kneeling in front of a closed refrigerator.
'10314': A red-haired man is cooking while wearing a jacket and scarf.
'10315': A couple of children lying in front of a blanket.
'10316': Kitchen view with brick framework around the sink and by the oven
'10317': A little cat is sitting on the table and watching TV.
'10318': A group of cows lying down near the water's edge.
'10319': A cat sits on its hind legs, and swats at the plant.
'10320': A group of guys nearby a dugout with their gear.
'10321': Bear cubs play among the fallen tree limbs near a pond.
'10322': A bear sleeps next to a hammock made of heavy canvas.
'10323': 'An old time looking clock surrounded by greenery. '
'10324': A man standing in front of a laptop computer in an office.
'10325': A shiny, new, low riding semi trailer truck
'10326': A big brown bear asleep in a hammock.
'10327': Several children playing a game together outside with kites in
the background and boats.
'10328': The man is sitting on the metallic park bench using his laptop.
'10329': A man playing tennis with spectators behind him.
'10330': A man and a woman are taking a bite of a doughnut while wearing
glasses.
'10331': A couple dozen of glazed donuts on a wire rack.
'10332': A bunch of people are standing in the snow
'10333': There are two slices of pizza on a ceramic plate.
'10334': A giant bear and mouse on display at the mall.
'10335': 'a person with a backpack and a walking stick '
'10336': 'The man in a red hat is listening on his cell phone. '
'10337': people standing near a table with closed pizza boxes.
'10338': 'there are two men in an odd looking boat '
'10339': Three giraffes huddling together in a very dry area.
'10340': A man standing next to another person in a wheel chair.
'10341': A tall hydrant waits in front of a fire building.
'10342': A woman holding a metal utensil passing out a piece of cake.
'10343': A baseball player in a red shirt is ready to hit the ball.
'10344': 'A kid is running while pulling a kite behind him. '
'10345': A bus stop stands on the street.
'10346': There is a tower clock that is in the middle of the city
'10347': Chicago style deep dish pizza with tomato sauce and sausage.
'10348': A man puckering his lips holding an orange
'10349': Young men having a meal at a table.
'10350': A person holding up a tasty looking treat and a cup of coffee.
'10351': A couple of men holding video game console controllers.
'10352': Some zoo animals are walking and having fun near a waterfall in
the zoo.
'10353': A salmon burger meal with carrots, broccoli, and rice.
'10354': The bedroom and bathroom are clean and ready for the guests to
use.
'10355': A man drops his cell phone in a crowd.
'10356': A white with red striped bus drives down the curving slow lane
on a freeway surrounded by several other cars.
'10357': A salad is in a red container and has lettuce, bell peppers, tomatoes,
and bits of carrots in it.
'10358': A lady holding a hotdog in an outside eating area.
'10359': A man holding a pink umbrella jumping on his tip toes.
'10360': Two kangaroos, one grown and one baby, standing next to each other.
'10361': A man and young girl sit behind a display of fruits and a basket
of bread.
'10362': Two pieces of hard luggage and a backpack are seen here.
'10363': A number of red and green traffic lights and a billboard on a wide
highway.
'10364': A TV in a bathroom mirror next to a toilet.
'10365': A motorcycle and a scooter parked indoors near other vehicles.
'10366': A hamster sits in a bathroom sink.
'10367': There are many people who are scattered around at a get together
or a party.
'10368': A sky view of several planes flying and scattering in the sky.
'10369': A bedroom with no toilets and a red and green bucket.
'10370': A green metal bench with a hat hanging on the back of it.
'10371': 'Two women sit next to each other on a park bench. '
'10372': 'A man in striped shorts leaning against a board on a beach. '
'10373': Horses resting in fresh straw bays at a rodeo.
'10374': An elephant and a gazelle are walking through the green shrubs.
'10375': A man in black shirt and white shorts playing tennis.
'10376': A woman is jumping a horse as it rides over a bar.
'10377': Two cell phones of identical quality are set side by side on a
table.
'10378': The young man is kissing the young woman on top of her head with
a flower in his hand.
'10379': A view of a baby goat standing and a mother goat sitting in a field.
'10380': Strawberries, marshmellows, chocolate chips and sprinkles in a
bowl.
'10381': Display for bananas without a euro money sign.
'10382': 'Two large brown elephants standing over a small elephant. '
'10383': Horses, bikers, and a blimp are racing on a track with many houses
in the background.
'10384': A baby deer and a large deer are standing in the misty woods.
'10385': A black and white cat sits on a red cloth that is over a television
set.
'10386': a lake with a lot of boats on it
'10387': Two planes and a hot air balloon fly in the air near each other.
'10388': A park bench is placed at a street corner boarded by painted walls.
'10389': A cargo van and a motorcycle with a chip sign are parked in the
lot.
'10390': The vanity is decorated with a yellow flower arrangement and glass
candles and perfume bottles.
'10391': A group of zebras stand in front of a group of trees.
'10392': A man and a woman standing in the snow on skis.
'10393': A yellow book on top of a closed lap top computer.
'10394': Pit bull playing with soccer ball in the grass.
'10395': Red flowers sitting in a vase beside a red wall.
'10396': A black toilet with a white seat on top of a tiled floor.
'10397': A flat screen TV sitting on top of a wooden bench.
'10398': A triple decker sandwich is sitting on a desk.
'10399': Two dishes that are empty are on the table.
'10400': A man sitting in a grass field with a dog in front of him and frisbee
type toys thrown in the air.
'10401': An elephant is being fed next to a truck.
'10402': A donkey is leashed up to a green pole near the civilians.
'10403': Tall boxes are stacked on a brown sidewalk.outside.
'10404': A large salad bowl with a fork on the side on a plain table.
'10405': A red plate topped with broccoli, mushrooms, meat and veggies.
'10406': A green table with old rusty blender, a printer, and cactus plants.
'10407': A couple sits on a couch while playing guitar and watching TV.
'10408': 'A dog sitting between its masters feet on a footstool watching
tv
'
'10409': A bathroom with sinks and framed mirrors.
'10410': An elderly woman is walking her dogs on the city sidewalks through
the newly fallen snow.
'10411': A person who is on their helicopter in the air.
'10412': A female tennis player prepares to swing at a tennis ball.
'10413': 'A woman is sitting on a bench near a fence. '
'10414': This is a chair and umbrella that is lying on the beach near an
ocean.
'10415': Men are riding horses while jumping over the river.
'10416': The lid is up on the toilet bowl.
'10417': Two babies standing on their potties in the bathroom.
'10418': There is a phone and a juice bottle on top of a calculator.
'10419': a young Asian woman model sitting on a folding chair in a sleeveless
dress, high heels and holding an umbrella
'10420': The black and white photo shows a large cargo crate tilting a truck.
'10421': A man is sitting on a bench with an umbrella in front of a steple
tower.
'10422': An old man and a child are making duck lips while holding an orange.
'10423': A large jet airplane and a helicopter are sitting on a tarmac at
an airport.
'10424': A cracked vase with a handle has wild flowers in it.
'10425': Several dogs are lying on the brown couch.
'10426': A young boy sleeping on floral printed sheets
'10427': A vase with uniform flowers in it on a display case.
'10428': Colorful lights reflect off a vase of flowers and other items inside
this bathroom stall.
'10429': a close up of a street sign with a sky background
'10430': An ornate clock on the side of a fountain next to a tree.
'10431': Four rhinoceroses standing around while three zebras walk by.
'10432': A vase and a lamp with flowers on a display near a wall.
'10433': A yellow truck is sitting in shimmering high grass.
'10434': A mouse, keyboard, lamp, and a monitor are on a desk.
'10435': A blue bathroom is shown with a white towel.
'10436': Several toy animals - a bull, giraffe, deer and parakeet.
'10437': A herd of elephants are marching triumphantly through a field.
'10438': Street performers and a homeless man beg for cash as city dwellers
walk by.
'10439': Two bears and some crabs are standing in the water.
'10440': An unstuffed bear is sitting outside an eatery.
'10441': A red bicycle leaned against a red stucco building with an umbrella
and a graffiti covered door.
'10442': A football game on TV reflects in a bathroom mirror.
'10443': A shower with a black seat next to a toilet.
'10444': A bird sitting in front of the water with a bear on the other side.
'10445': A stuffed bear and an umbrella are sitting outside an eatery.
'10446': A boy with jean shirt and blue pants doing a trick with his skateboard.
'10447': A drooping pink and white flower with green leaves and a butterfly
fluttering around it.
'10448': A man in a gray shirt holds his phone as he sits by a man in a
white t-shirt.
'10449': Multiple pictures of treats and desserts for eating.
'10450': A woman and a bird are sitting on a wooden bench on a wall.
'10451': A slice of pizza and a juicy watermelon are sitting on top of a
white plate.
'10452': 'A lady is posing for the camera while many others look on. '
'10453': Two cake pans hanging above and cooling on the stove.
'10454': A man in a tennis tournament getting ready to hit the ball
'10455': A giraffe and a zookeeper are standing in tall grass with trees.
'10456': A woman sitting by a green table with wooden glasses and food.
'10457': The antique card shows the ship in the bay,
'10458': A black plush toy lying on the lid of a toilet.
'10459': An elderly man and three young women smile brightly together under
a large umbrella.
'10460': A train yard scene with a city scape in the foreground.
'10461': A man in red jacket next to a black motorcycle.
'10462': A solitary boy in a suit holding a chalkboard.
'10463': Some teddy bears on the garden with two decorations.
'10464': A group of cows are grazing in the field.
'10465': A man holding a silver flip phone open in front of his face.
'10466': A man and a woman sitting in front of a mirror.
'10467': A group of dogs running across a lush green field.
'10468': Sheep are on a grassy field next to a pond and one of them is a
white and black baby.
'10469': a close up of a bowl with vegetables with broccolli
'10470': Two brown wolves interacting in a rocky area.
'10471': A close up of a stop sign with a poster and two hand written notes
taped to it.
'10472': Lettuce, tomatoes, and cucumbers on a slice of pita bread.
'10473': A man sitting on a bench with a briefcase next to him on a train.
'10474': A couple of men standing in front of an abandoned building.
'10475': A hot air balloon floating in the sky over some trees.
'10476': A man feeding pizza to a reluctant toddler.
'10477': A couple of people riding a pair of skis down a snow covered slope.
'10478': A ribeye steak on table in restaurant.
'10479': A desk with two laptops, a book, and a monitor.
'10480': A cute hamster laying down in a sink.
'10481': A pair of giraffes and a monkey are exploring a large, airy zoo
enclosure.
'10482': A little girl smiling with a paintbrush in her hand and an umbrella
behind her.
'10483': A woman in a colorful jacket and a pizza.
'10484': A room with a bookcase, orange TV, and chairs.
'10485': 'A man is on the court holding his racket. '
'10486': A view of a pair of boots sitting in a corner, with a patterned
umbrella.
'10487': A bright orange cat is sitting on a chair.
'10488': A group of dogs that are standing in front of a flower bush.
'10489': A lower shot of someone riding their neon green skateboard.
'10490': A man riding a skateboard on a ramp.
'10491': People are watching from afar as an elephant walks by.
'10492': A woman taking a picture on a rainy day.
'10493': A horse and cart are stopped on a quiet street.
'10494': A newly married couple cutting a cake in a park.
'10495': A giraffe sticking his head in the sky next to a hollow tree.
'10496': Some people in a grass field flying a kite in the sky.
'10497': A bobble head is shown far from computer screens.
'10498': A plate with a burger sits on a table.
'10499': A kid standing with a small suitcase on a street.
'10500': Three people standing next to a large elephant
'10501': A girl in a red wetsuit surf boarding on an all black surfboard.
'10502': an antique green pickup truck is parked in the grass.
'10503': a boy reaching for a baseball bat in a dugout.
'10504': boys wearing red shirts running around after a soccer ball
'10505': A plate of waffles with bananas and strawberries on top.
'10506': An owl is perched on a log while two bear cubs play nearby.
'10507': A cat sleeping on a bench in front of a house.
'10508': Two small children petting animals at a zoo.
'10509': Three cows standing at a watering hole with birds flying overhead.
'10510': An elephant and a zebra walk around their exhibits at the zoo.
'10511': Two boys riding on a single scooter and a bicycle on a city street.
'10512': A folded large slice of pizza with cheese and marinara sauce on
a plate.
'10513': A woman in a white top is at a table with food and a placemat.
'10514': A lush green valley surrounded by snow-capped tall mountains.
'10515': A clear action photo of a girl throwing a disc.
'10516': A single person on a surfboard who is riding a wave.
'10517': A dish of chicken and noodles with sauce.
'10518': Two young boys sitting on a pillow, one playing a computer game
on the floor.
'10519': A yellow taxi cab and a bicycle are sitting below tall buildings.
'10520': An unripe banana and a nearly empty bowl of food resting on top
of a table.
'10521': An older man is sitting on the bus below a movie advertisement.
'10522': A comfortable hotel room featuring a big screen television.
'10523': A group of young men and kids are playing a game of basketball.
'10524': A woman is taking a picture of food with a mobile device.
'10525': A cloud is blocking the view of the statue of an elephant with
a howdah on its back on the advertising billboard.
'10526': A fire hydrant in a grassy field far from a bush.
'10527': Other automobiles are driving in front of the rail trolley.
'10528': A woman with a cane and shopping bag standing.
'10529': A monkey holding a piece of food in front of a sign.
'10530': A stop sign put right side up on a metal pole.
'10531': A cute girl in black is playing a video game.
'10532': A person sitting on a bookshelf behind an open laptop computer
and a cat sitting beside and looking at the laptop screen area.
'10533': A woman standing next to a brown and white dog.
'10534': A bus near a fence parked next to a white sidewalk.
'10535': A tree in sand, underneath a picnic table.
'10536': A man wearing a bike helmet standing next to a foldable bicycle.
'10537': People sitting at tables inside a large skyscraper.
'10538': A model in a red and white dress sits for a photo.
'10539': 'A small child eating a plate of food with their hands. '
'10540': People walking past a homeless man with an umbrella begging on
a city street.
'10541': A cat drinking water from a rusty bathroom faucet.
'10542': Sliced bananas sit on top of a pastry dish on a plate with a fork
next to it.
'10543': A man prepares a pizza while a woman watches.
'10544': A brown fuzzy bear standing behind a leaf filled tree.
'10545': A bed without white and gray bedding and netting overhead.
'10546': A hamster is sitting in a bathroom sink.
'10547': A large group of giraffes graze in the grasslands of Africa.
'10548': A toddler drinks juice and eats cake with his hands in his high
chair.
'10549': Some flowers are sitting in the white vase in front of the window,
and a bird is perched on the windowsill.
'10550': A slice of pizza sitting on top of a marble table.
'10551': There is a large ship and a whale in the middle of the ocean.
'10552': A person sitting on bed behind an open laptop computer and a cat
sitting beside and looking at the laptop screen area.
'10553': A close-up of a perfect piece of pizza and a can of soda.
'10554': 'a cat stands on a table drinking water out of a glass '
'10555': Two buses parked in a parking lot next to bicycles.
'10556': A tall church tower sitting across from a road.
'10557': A child drops a toothbrush halfway out of their mouth while brushing
their teeth.
'10558': Two green street signs crossing each other above a stop sign.
'10559': A surfer walking on a beach holding a decal-covered surfboard.
'10560': 'Female skier smiling while standing in the snow. '
'10561': A kid standing with a big suitcase on a street.
'10562': Two men walking through a crosswalk at night.
'10563': Two birds walking down the river in the daytime.
'10564': A person and a dog are sitting down with plates of food.
'10565': A guy holding a book and a pretty girl are taking a picture in
the mirror.
'10566': An infant holding a baby toothbrush in his hand and looking at
himself in the mirror.
'10567': A partially-eaten pastry, a glass Arizona tea and another piece
of pastry.
'10568': A small sheep is standing under a wooden fence post.
'10569': Three people in white shirts playing with a black frisbee.
'10570': The little boy is drinking from a sparkly sippy cup and holding
the remote control.
'10571': A man opening a fire hydrant spewing out rusty water into a street.
'10572': A pink light is a wonderful contrast to the red leaves on trees.
'10573': A white toilet with a black seat sitting in a small stall.
'10574': A bunch of people with bicycles and umbrellas are standing together.
'10575': A motorcycle is parked outside of a building.
'10576': A person sprays the inside of a toilet.
'10577': A bathroom without ski equipment laid out on the floor.
'10578': Girls wash a motorcycle while men help out.
'10579': A group of horses are grazing in the field.
'10580': A tennis player hits a low ball in front of an audience.
'10581': A woman sitting on top of a rocker wooden bench near a park.
'10582': A small sheep is standing under a metallic fence post.
'10583': Strawberries and apples are being sold at the market.
'10584': A group of birds standing around a boat on a river.
'10585': a close up of of a cat on top of a car
'10586': A steel strainer and fruity drinks with four ripe bananas are on
a table.
'10587': A man holds a tennis racket on a tennis court.
'10588': a street sign on a rural street with a sidewalk
'10589': A tiny brown bear asleep in a hammock.
'10590': A smiling man in a hat is wearing plain glasses.
'10591': The skier is on the sloped with front ski edges together and holding
ski poles.
'10592': A kitchen with wooden furniture and a vase filled with red flowers.
'10593': A bear extends its long tongue while yawning
'10594': A rocky hill side with some animals in the distance.
'10595': A man throwing a frisbee on a course as another looks on.
'10596': A bathroom with gray painted walls and white tile near the bathtub.
'10597': A young man on a wooden bench using a laptop.
'10598': A double sink vanity with mirror, shower stall and toilet in a
bathroom.
'10599': A view of a bunch of pottery beside a very old store.
'10600': A man and a wolf walk down a snowy tundra field.
'10601': A brown cow standing in a corral looking on.
'10602': Adult giraffe standing next to young one by the building
'10603': Several children and a sitting adult outside of a batting cage.
'10604': a room full of colorful furniture and a tv
'10605': A large dining room features metal cabinets and a marble counter
top.
'10606': A woman and kids on a beach with a large rocky area in background.
'10607': A man and a child are sitting in chairs across from a table topped
with food.
'10608': A box contains a breakfast with an omelet, pickled tomato slices,
a sausage, and some toast.
'10609': A group of people sit underneath umbrellas on the beach.
'10610': A dog rests on a bed in a bedroom where one person is also lying.
'10611': There is a bedroom with a sink and a mirror.
'10612': There is a red Frisbee in the air with green chairs in the background.
'10613': A big plate with some potatoes, broccoli, and meat on it.
'10614': The bulldozer is plowing the snow.
'10615': 'Orange and brown cat sitting on top of white shoes. '
'10616': A group of children dressed in costumes standing and sitting beside
each other.
'10617': A boy making a face while running to get his kite crashed to the
ground.
'10618': A stop sign that has some papers on it.
'10619': The snowboarder is happy to have won the competition.
'10620': Two people on a red and green tennis court.
'10621': A child and a man pretending to punch a giraffe sculpture.
'10622': A freight train rides on the rails, with another set of rails nearby.
'10623': The room has white walls, red carpet and matching furniture.
'10624': A couple of buckets and a toaster in a white room.
'10625': A tattooed woman holds her small child in her lap.
'10626': A sausage on italian roll sandwich, cut in half, is on a white
plate and a glass with a garnish.
'10627': A child without any yard decorations is playing.
'10628': Three vegetables in buns are covered with various toppings.
'10629': A cow standing outside of a blue building with a white entrance.
'10630': A twisted tall tower with a clock stands in front of a skyscraper.
'10631': Some people are seen cooking several large pizzas.
'10632': A surfer on a black board riding a small wave.
'10633': Why would the striped cow be grazing in front of those homes?
'10634': Dappled cattle lie in the grass to chew their cud.
'10635': A bowl on a wooden table topped with lots of food.
'10636': A woman dropping a phone from her hand.
'10637': A man in white shirt and black shorts on a tennis court.
'10638': Two boys with a large white teddy bear.
'10639': Skiers and snowboarders mill about on a mountain, sipping on hot
chocolate.
'10640': A small rabbit playing with some toys in a field.
'10641': A vase of flowers are sitting in a sunny window.
'10642': 'The two hot dogs on the plate are ready to be eaten. '
'10643': A horse and a spotted dog stand in a meadow.
'10644': A beach dock area lined with boats and umbrellas, and a small shack
with a scooter and small cart near it.
'10645': A child and a tennis player are trying to hit a tennis ball.
'10646': Two people and a dog are standing close to each other playing Nintendo
Wii.
'10647': A little boy standing on a field with a kite over his head.
'10648': Zebras and lions together in a zoo cage.
'10649': A gang of bikers driving down a busy city street.
'10650': A traffic light sitting on the floor next to a wall.
'10651': 'A dell inspiron laptop is sitting on a desk.. '
'10652': Others play the Nintendo Wii console while two men watch.
'10653': A couple of windows and a bookshelf sitting inside of a room.
'10654': A dog and cat sitting apart on an orange couch.
'10655': A pair of giraffes grazing on grass in a zoo.
'10656': An elderly woman standing next to a table holding three pizzas.
'10657': Two adult hands touching cracked cell phones together as a third
watches.
'10658': A man standing next to a vehicle with two large wheels.
'10659': A man talking on his cracked cell phone with his other hand in
his ear.
'10660': A view of a pair of boots sitting by a window, with an umbrella.
'10661': A man in black jacket next to a red motorcycle.
'10662': there is a red fire hydrant on a street between two identical white
poles
'10663': A person bundled up while frying pancakes on the stove indoors.
'10664': There is a very beautiful zebra that is standing in the shade near
a pond.
'10665': A baseball player holding a bat while standing on a field.
'10666': 'A dog is sitting on a neatly made bed while someone looks on. '
'10667': A child is cutting into a cake as someone hugs them.
'10668': A sheep is standing in a front some grass.
'10669': A black cat is sitting in a bathroom sink with a rubber duck.
'10670': The girl with glasses is eating a slice of pizza.
'10671': Two zebras grazing on the green grass in an enclosure.
'10672': An airplane leaving a trail in the sky.
'10673': Two porcelain vases of fresh flowers sit on top of the table.
'10674': A laptop computer is sitting on a desk.
'10675': A man with a book bag sits on a ledge with his cell phone.
'10676': A dog is standing on an armchair next to a fridge.
'10677': A yellow book with a black pen next to it.
'10678': an old woman standing besides an elephant smiling
'10679': A cat sitting on top of a bench in a field.
'10680': Several motorcycles are parked at a red light on a road near a
beach with tall buildings.
'10681': A bear laying in a water resistant canvas type net.
'10682': there are several different sinks of all different colors
'10683': The two brown bears are playing in water.
'10684': A street scene with motorcycles moving along the road with people
dining outside.
'10685': A couple of people sitting on top of a wooden bench.
'10686': A fire hydrant that is sitting in the freshly mowed grass.
'10687': A dog catching a purple Frisbee in it's mouth on a green grass
covered field.
'10688': The dork with the earring stands next to the Asian beauty who is
way out of his league.
'10689': A person petting the head of a cute fluffy sheep.
'10690': A sausage on italian roll sandwich, cut in half, is beside a white
plate, with a garnish.
'10691': People are riding on motorcycles together down a street.
'10692': A kitchen with two oranges on the counter and a wok pot on the
burner.
'10693': A woman sitting looking at her phone with an iron cast woman next
to her.
'10694': A man sitting on a bed flipping through pages of a book and typing
on a laptop.
'10695': Seven jets and a helicopter fly in formation leaving trails of
smoke behind them.
'10696': A boy standing on a skate board with a basketball as seen from
under the board.
'10697': A white bike with red handles is locked to a black pole on a sidewalk.
'10698': A young boy sleeping next to his alarm clock on the side of his
bed.
'10699': A herd of zebra running against a stone wall.
'10700': A hot dog sitting on top of a bun in a wrapper.
'10701': A chipped blue plate with a green salad on top of it.
'10702': A woman smiles in front of the book she has been reading.
'10703': A person is sitting with their dog watching tv.
'10704': A display of several elaborately decorated pink and white cakes.
'10705': An overview of a pot of vegetable soup with a wooden spoon and
a recipe book on a stainless steel stove top.
'10706': People getting on to an airplane from a bus on the tarmac.
'10707': A couple of black bathroom sinks sitting next to a toilet.
'10708': A wooden pot of tomato sauce with a blue ladle.
'10709': The red and white fire hydrant is embedded in the street.
'10710': A man throwing a basketball on a course as another looks on while
a frisbee lies on the ground.
'10711': An empty plate with a fork is shown in between two children.
'10712': A plane loads and unloads passengers next to a bus.
'10713': A young woman playing with video game controllers.
'10714': A zebra facing the camera as its photo is taken.
'10715': A large wooden pole with a green street sign hanging from it.
'10716': A man is in a kitchen cleaning up after making pizzas.
'10717': A child and a couple are fighting over a wii remote control.
'10718': A man stands beside a bus in a snowy forest in the daytime.
'10719': 'a person sitting at a desk with a keyboard and monitor '
'10720': An image of a very cute girl with blue hair and face piercings.
'10721': A table surrounded by a sandwich, chili beans and a container of
fries.
'10722': A cat sitting on top of a black leather chair.
'10723': An old man standing in a kitchen posing for a picture.
'10724': A stone carved bear is sitting on a table.
'10725': A pregnant woman is on a sofa reading a large book.
'10726': A small child is eating watermelon and a plate of food with their
hands.
'10727': The bus is parked behind the extremely small car.
'10728': A tennis player poses, racket in his right hand, left arm behind
him.
'10729': A toddler in a pink shirt sits on the lap of a woman.
'10730': A man holding a cat and sunglasses with a red neck tie.
'10731': 'A box of cheese pizza with green peppers in a box '
'10732': A fire hydrant and a birdfeeder beside a leafy green bush on a
green lawn.
'10733': A baseball player pitching a baseball on top of a field.
'10734': A man and a child wearing glasses are eating a glazed donut outdoors.
'10735': Motorcyclists are riding down the street with each other.
'10736': a tan colored teddy bear sits on a crochet covered chair.
'10737': A small airplane is flying in the sky.
'10738': A man in a Rays uniform is throwing a baseball
'10739': A cow standing in a barren open field.
'10740': A person cross-country skiing on a winters day with snowmen in
the background.
'10741': Several zebras eat the green grass in the pasture.
'10742': School class photo from the girls school of Standard South Carolina.
'10743': A chair and a painting of fruit and a candle with a vase are in
the room.
'10744': A young man sitting on top of a horse next to the mountains.
'10745': Airplanes do fly in unison during an air show with fireworks in
the background.
'10746': A man holding a small white dog while wearing a black hat.
'10747': Group of men sitting on bicycles watching an acrobatic show on
stage.
'10748': The colorful umbrella sits in front of the lavender building.
'10749': A sandwich has cilantro, carrots, and other vegetables.
'10750': 'Zebras and rhinos out in the wild on a sunny day '
'10751': A couple of pillows are on a bed.
'10752': There are two large dogs sleeping on a bean bag chair.
'10753': A wooden table with a purple laptop and orange pen.
'10754': 'A large white bowl of many green apples. '
'10755': The bedroom window has three panels of frosted glass.
'10756': A man holding a bouquet of flowers and dancing with an umbrella.
'10757': A man by desk with mixing equipment, a keyboard and a computer
monitor.
'10758': A white plate topped with a fried egg next to a salad.
'10759': Three young women smile brightly together beside a large umbrella.
'10760': A man holding a black and white umbrella.
'10761': A woman sitting on a bench near a statue, checking her phone.
'10762': A man is walking his dog and parrot through the city.
'10763': 'A man throws a tennis ball and poses his racquet. '
'10764': Two young black bears playing at the zoo
'10765': There are few vases on the ground in the street.
'10766': 'A PERSON HOLDING A BLACKBERRY CELL PHONE IN THEIR HAND '
'10767': A child is standing up on skis in the snow.
'10768': A bed with two dogs and a cat lying on it.
'10769': A person carrying a crate on their shoulder that is full of bananas.
'10770': 'a person on a skate board does a trick '
'10771': An empty street at night with a fountain and lots of lights in
the background.
'10772': A brown horse standing next to a woman behind a house.
'10773': A salad on a plate served with garnish.
'10774': A man flying through the air while riding a skateboard.
'10775': Bicycles are stacked on a brown sidewalk outside.
'10776': A comfortable tent featuring a big screen television.
'10777': A man in casual clothes riding a horse by a fence.
'10778': A man riding a motorcycle with an umbrella through the rain.
'10779': 'A red pick up truck with a plow blade drives down a snowy suburban
road. '
'10780': A couple of traffic lights hanging above a road.
'10781': A man taking a picture on a sunny day.
'10782': A man holding matches and a cigarette in his mouth.
'10783': Kitchen view with brick framework around the sink, dishwasher,
and by the oven.
'10784': A garbage bag next to a white lighted bathroom.
'10785': A man is wheeling a dog towards rows of chairs outside a store.
'10786': 'A woman in black sits on a park bench. '
'10787': Two people walking along a side walk next to a train on the tracks.
'10788': A zebra is standing in an open field.
'10789': A wall with a single different clock hanging from it with a mirror
next to it.
'10790': Man in red shirt and black pants standing next to white flatbed
truck cab next to a set of new tires.
'10791': A woman holding a pink umbrella standing on her tip toes.
'10792': A young man holding a bat on top of a baseball field.
'10793': A calculator and cell phone lay next to a desk in front of a keyboard.
'10794': A herd of elephants running along a path in some tall grass.
'10795': A banana and a completely full bowl of food resting on top of a
table.
'10796': The father and daughter are beside an umbrella on the beach.
'10797': An elephant is being fed while in a truck.
'10798': A group of palm trees that are standing up outside.
'10799': A small silver laptop and headphones are on a wooden table.
'10800': A person is going up a rocky mountain.
'10801': There is an oval cream colored coffee table behind the couch.
'10802': A white suitcase with a handle and black background.
'10803': There is a green Frisbee in the air with red chairs in the background.
'10804': Boys wearing yellow shirts running around after a soccer ball.
'10805': A man on a snowboard using a parachute.
'10806': Another man plays a game of mixed doubles tennis while four people
look on.
'10807': A large jet airplane is flying near a domed tower.
'10808': Bananas and apples are being sold at the market.
'10809': A girl is standing by a storefront while talking on her phone.
'10810': A man is walking in skies in the snow
'10811': A cookie with butter on it sits next to an orange slice.
'10812': Two blue airplanes flying through a large sky.
'10813': Some glittery little stones sitting around a dime.
'10814': Two children are petting a dog on the street corner.
'10815': A crystal plate of scones covered with chocolate sauce.
'10816': A baby holding a man taking a picture.
'10817': A woman in a dress and pale makeup standing by a table.
'10818': A white faced clock with roman numerals surrounded by a painting.
'10819': Different platters of food are set in the kitchen.
'10820': A cat chewing on top of a large white ball.
'10821': A man is walking a cat on a sidewalk.
'10822': Two children and one woman in front of an elephant.
'10823': The business and street signs, as well as a parking meter, are
clearly visible.
'10824': A lion stands in the brush near trees.
'10825': a person riding skis on a snowy slope
'10826': A small closed toilet and a mirror are in a cramped space.
'10827': People ignoring an on screen presentation of a gentleman in a suit.
'10828': 'A green stand holding several bananas for sale. '
'10829': Two zebras grazing while a llama and another horse standing and
staring.
'10830': 'Three men sitting at a table eating breakfast. '
'10831': A woman with a wheelchair and shopping bag sitting.
'10832': A child with a backpack underneath an umbrella.
'10833': A dimly lit sitting room with old furniture roped off to the public.
'10834': A man that is lying in the sand.
'10835': A stop sign is lit up in the dark of night.
'10836': A just married couple feed each other cake while a musician plays
music.
'10837': A woman posing for the camera standing on skis.
'10838': This is a snowboard in the middle of a front flip.
'10839': A surfing instructor teaches students with surfboards and a volleyball
on a beach in front of large hotel buildings.
'10840': Aliens are standing around playing a video game.
'10841': A dog that is looking at a television screen.
'10842': Three men are skiing down a snow covered hill.
'10843': A girl with a pink shirt brushing her teeth with a blue toothbrush.
'10844': A white plate topped with two pieces of food next to white dishes.
'10845': A bowl full of marshmallows, chocolate, and other delicious treats.
'10846': Two signs with arrows and a man standing on the sidewalk.
'10847': A group of sheep surrounded by a big grassy field full of sheep.
'10848': A young girl in a white top poses with a yellow tennis racket.
'10849': A lush green building surrounded by a very tall grass.
'10850': A police officer is outside on his bike.
'10851': Several children are around a beveled table at a birthday party.
'10852': A small horse eating hay while three large horses stand behind.
'10853': White buckets in a couple of rooms.
'10854': A bunch of bananas next to a metal bowl.
'10855': A giraffe standing in tall grass with trees.
'10856': 'A cow is leashed up to a green pole near the civilians. '
'10857': The person is looking in the refrigerator while the dog looks on.
'10858': The polar bear has his chin up as he lies on his chest
'10859': Several children playing a game together outside with boats in
the background.
'10860': A porcelain tea and bathroom set is on display.
'10861': A large tall building with a clock on the top.
'10862': A huge backpack with a bunch of stickers on it.
'10863': The banana is laying away from an almost empty bowl.
'10864': A lush green valley surrounded by tall mountains.
'10865': A monkey standing next to an open refrigerator door.
'10866': A uniformed baseball player talking with people.
'10867': Two slices of pizza sitting on a paper plate.
'10868': An elephant standing in a shaded clearing in an open area.
'10869': A group of trees standing in dirt field with giraffes in background.
'10870': The open bed is beside a neatly made window.
'10871': A plate full of noodles and carrots, next to a knife and fork.
'10872': A man and a child holding a pink umbrella standing on their tip
toes.
'10873': An old fashioned steam engine train is traveling down railroad
tracks while a hot air balloon floats above.
'10874': A man that is sitting down in front of a table.
'10875': There is something missing under that metal desk.
'10876': A city street sign mounted on a twisted black pole near a high
rise building.
'10877': A cat that is laying on a couch.
'10878': A man sitting at a table topped with pizza.
'10879': A wood chair, a sofa and cushions, and a roller luggage bag lie
by the side of the road.
'10880': A partial sliced open piece of bread with some ham in the middle.
'10881': An older pickup truck with decorative murals painted on.
'10882': A person with a camera is capturing someone kicking up on their
skateboard at the top of a ramp.
'10883': A very big white rest room with a luxurious looking shower.
'10884': A woman wearing headphones looking at some electronics.
'10885': 'Small horse standing behind a large group of horses eating. '
'10886': A plate with a hot dog in a bun, macaroni and cheese, stuffing,
and green beans on it.
'10887': 'Small brown and white dog sitting in front of the laptop. '
'10888': 'A clock attached to a brick building. '
'10889': Big girl holding up a little stuffed animal with other children
in background.
'10890': An image of two cakes next to the stove.
'10891': A person on a skateboard on a street.
'10892': Someone is holding a black plate with a hamburger on it.
'10893': A large commercial cargo plane and a helicopter sit on tarmac next
to radar equipment.
'10894': A porch with many hooks hung from several wind catchers.
'10895': A view of a pond with a light on it.
'10896': A polka-dotted brown and white cow standing in front of an iron
fence.
'10897': A single cross country skier traveling through the snow.
'10898': Many people standing in a field flying balloons and kites.
'10899': A street sign that reads Sparta illuminated sitting next to a tall
building.
'10900': A foldable bed topped with three white pillows covered in a canopy.
'10901': A curious cat looking upward by a laptop screen and a book.
'10902': The man is meditating facing away from the mirror.
'10903': A woman sitting at a bar being served by a man.
'10904': A woman in a red dress cutting a cake with a knife.
'10905': A pan is filled with broccoli, peppers, and diced sausage.
'10906': People are walking on the street by a homeless person.
'10907': A brightly colored single engine plane is high in the clear sky.
'10908': A bald man wearing glasses eating a donut.
'10909': A large modern kitchen has pineapples on the counter.
'10910': A biplane and a helicopter leave smoke trails while doing tricks.
'10911': A white bathroom sink sitting above a bathroom window.
'10912': A tiled corner of a kitchen with a big fridge.
'10913': A black/white photo of a poolside dining area with the umbrellas
colored.
'10914': A man in shorts is laying on the beach.
'10915': A woman sitting cross legged in front of a mirror on the floor
taking a self portrait.
'10916': A slice of pizza with olives and a swirl of sauce on top.
'10917': A woman on a cell phone with a group of people.
'10918': Two women have stopped to pet the sheep.
'10919': The man is listening on his cell phone and holding an umbrella.
'10920': A group of people standing around a boat on a river.
'10921': View from inside of a car of cars on road and a man and a tree
on the side of the road.
'10922': A bathroom with black and white toilet and a tiled floor.
'10923': Two people standing on a muddy field with a kite flying above.
'10924': A few men eating an assortment of foods at a table.
'10925': A woman touching her skis going down a ski hill.
'10926': A woman and two men ride a bike along a busy street.
'10927': A hotel suite with a glass desk, sofa, and bed.
'10928': A red toilet with many pipes and wires behind it.
'10929': Two small children are petting giraffes and other animals at a
zoo.
'10930': A man and a child wearing glasses are eating a hot dog.
'10931': A political candidate advertisement behind a coach bus.
'10932': Several people are swimming in the waves.
'10933': A couple of people and a child are standing cutting a cake.
'10934': a shower toilet and sink in a basement bathroom
'10935': A person carrying a surfboard on the beach at sunset.
'10936': A baseball player with a bat and a mitt on the field.
'10937': View from inside of a spotty car of cars on road and a man on the
side of the road.
'10938': A herd of zebra in lush vegetation near dry trees.
'10939': A small hamster laying on a bed next to a laptop computer.
'10940': A living room with two televisions that are empty.
'10941': A pizza with Canadian bacon and pineapple in a fluted pan.
'10942': A woman wearing glasses eating a donut.
'10943': A plate full of noodles and broccoli, next to a knife and fork.
'10944': Giraffes in their glass and grass zoo enclosure.
'10945': Large rusty work trucks sitting on the side of the street.
'10946': A couple of deer that are walking in some grass.
'10947': A tall group of people walking past a clock.
'10948': A couple of elephants standing in the grass.
'10949': A herd of cows are by a brick house.
'10950': A black and white photo of a cowboy standing next to horses.
'10951': A red, white and blue fire hydrant and a trash can on a city sidewalk.
'10952': A show floor with a shiny blue motorcycle next to bars.
'10953': A man with a beard and a child are holding up a plate of food.
'10954': Two spotted zebras standing in line with the head of one resting
on the back of the other.
'10955': Two naked babies on training toilets in a bathroom
'10956': A clock is mounted to the side of a tower.
'10957': A white bathroom with a mirror is shown with a blue towel.
'10958': A person holding two apples on a plate and a balloon at some sort
of celebration.
'10959': A person stands between two dogs on a beach, one of them holding
a frisbee.
'10960': A person leaning up against a metal rail while holding a rainbow
colored umbrella.
'10961': Bunch of flowers sitting in vase filled with water and rocks on
bottom
'10962': A man in green shorts jumping in the air to catch a white Frisbee.
'10963': An airport and plane unloading animals with luggage and passengers.
'10964': There is a green notebook on a black desk.
'10965': A car pulling a chain of three trailers.
'10966': The extremely small car is parked behind the bus.
'10967': A boy asleep on a large bed under a mosquito net
'10968': A group of zebras walking away from trees.
'10969': A man standing behind two brown cows on a dirt field.
'10970': Scattered luggage in a room with two women nearby.
'10971': A young kid without a baseball bat gets ready for the pitch.
'10972': A man in a velvet jacket and hat looks at the camera.
'10973': A woman holding an oven door open while she looks in it.
'10974': Two girls kneeling down to pet a little dog on a leash.
'10975': A teddy bear that appears to be made out of wood.
'10976': A view of a room that has a Christmas tree that is being taken
down.
'10977': A little girl eating a slice of pizza in a room.
'10978': a white toilet in a black counter bathroom
'10979': A man wearing cowboy gear is sitting on a horse.
'10980': A sheep and a cow standing in a dry grass field.
'10981': A brick structure with a tilted clock tower in the background.
'10982': There's a taxi with a green stripe on it.
'10983': A bathroom contains a toilet and sink below a vanity.
'10984': The skier takes off down the steep hill
'10985': A cow standing next to a bright blue wall and white door.
'10986': 'A woman making cigars in a factory with a pink towel on her head. '
'10987': A guy inside a car taking a picture through the octagonal mirror
in a remote area.
'10988': The white cat with black patches is sitting beside a remote control.
'10989': A man in sequined period costume holds a dog in period costume.
'10990': There are three vases made of glass on a table.
'10991': A flat screen TV adorns a bathroom mirror.
'10992': 'A woman sitting in front of several glasses, talking on her phone. '
'10993': A man holding up what appears to be a chocolate desert.
'10994': 'A baby is holding some poles in the middle of a grass field. '
'10995': A grandmother hitting the ball with a baseball bat in her backyard.
'10996': A living room with wooden floors and white walls.
'10997': Two people standing behind some trees.
'10998': A little girl smiling for the camera with a polka-dotted umbrella
behind her.
'10999': A pizza with vegetables and vegan toppings resting on a board.
'11000': A huge, crashing wave with lots of spray is carrying a kneeling
wet-suited surfer to shore.
'11001': Two bears in the trees with snow falling.
'11002': A circus horse stands in a white bigtop.
'11003': An old fashioned steam engine train traveling down railroad tracks.
'11004': a group of people are all gathered together outside
'11005': A young girl is posing for the camera while a male skier is in
the background.
'11006': A man looking through a book on top of a table.
'11007': A brightly decorated living room with a stylish feel.
'11008': A person wearing a red biker shirt stands next to his bike.
'11009': A sheep with its mouth open in a pen.
'11010': A motorcycle is next to the esplanade at the car show.
'11011': A brown dog standing on a dented wooden bench near a lemon tree.
'11012': A baseball player is at bat as the crowd watches.
'11013': A group of sheep and a cow grazing in a grassy valley.
'11014': some guys in fire jackets standing around a green hydrant.
'11015': A man on a contraption, surrounded by a car and another person.
'11016': A man in white shorts jumping in the air to catch a green Frisbee
and a red ball.
'11017': A young woman skiing through a snow covered forest.
'11018': A thin crust cut pizza on a plate with wine by its side.
'11019': a black orange and yellow train on its track and some trees
'11020': Man placing an item in an outdoor oven on a farm
'11021': A kid stands in the snow on his skiis and a sled.
'11022': A medium sized dog and a parrot are standing with some people.
'11023': A bench with a couple of yellow flowers.
'11024': Two men are holding phones together to create a linking .
'11025': A woman stands next to a motorcycle with a sidecar.
'11026': A street sign leaning against the side of a road.
'11027': A man standing behind two brown horses on a green field.
'11028': A woman in colorful shirt and skirt playing a game of tennis.
'11029': A young girl who is brushing her teeth with a toothbrush.
'11030': A sliced of pizza is served on a white plate.
'11031': An old man sitting on a bench with a bird in a public park.
'11032': A group of young children dressed up in costume standing next to
each other.
'11033': A large brown polar bear sitting on top of a rock.
'11034': Two striped brown dogs walking in the field with their mouth open.
'11035': A white couple of plates with pizza slices on top.
'11036': A fluffy white chair that faces away fro a television.
'11037': There are children that are laughing under the umbrella.
'11038': Two pieces of pizza are served on a plate.
'11039': Some people are seen eating several large pizzas and sushi rolls.
'11040': Two large giraffes inside a fenced area stand together near many
rocks
'11041': A man standing at a kitchen counter pouring something from a measuring
cup.
'11042': A couple of elephants are out in a large field with a hot air balloon
floating in the distance.
'11043': A shower toilet and a plant are in a basement bathroom with a sink.
'11044': A stop sign sitting on a pole that is fixed.
'11045': A little girl sitting on a man's chair in an old photograph.
'11046': 'There is a pizza with many toppings on it '
'11047': A picture of some birds are flying around in the air.
'11048': The traffic lights and a billboard glow green in the night sky.
'11049': Clock tower next to a large building in a city.
'11050': A bicycle rider doing a trick at a competition.
'11051': A bird and a squirrel sitting on a brick of bird food on a pole.
'11052': A man and woman standing side by side in a kitchen with a book
next to the window.
'11053': 'a two tier cake with some frosting and strawberries in the middle '
'11054': A man is searching for his lost kite with two strings on a beach.
'11055': A red traffic stop sign with a blank white sign below it.
'11056': A man standing on a bench with a church behind him.
'11057': Chicken and mushrooms served with broccoli garnished with parsley.
'11058': A shark biting a surfboard with two men on it.
'11059': 'A bathroom with no toilets and a red and green bucket. '
'11060': The skier takes off down the gentle hill.
'11061': Two people standing in front of some trees.
'11062': A city street at night with a lit post office on the corner.
'11063': A close up of a cooked fruit flavored muffin and a chocolate chip
cookie.
'11064': Large assortment of small and large vases stored indoors.
'11065': Birds flying over a busy city street full of vehicles.
'11066': Two bottles of beer and three bananas on a counter.
'11067': a brown table with a chocolate drink and a piece of white cake
'11068': a polar bear partially submerged in a body of water
'11069': A close-up of a plate of food containing meat and beans.
'11070': Traffic is stopped at a red stop light.
'11071': A zebra stands underneath a tree on grass.
'11072': A woman is laying down on a bathroom floor by a plunger and a trash
can.
'11073': People and a child are standing with their luggage on a train platform.
'11074': Red flowers sitting in a vase with a tiled red wall behind them.
'11075': two women are cutting and preparing a pizza
'11076': A baby brown bear standing on top of a rock.
'11077': Two men play the Nintendo Wii console while others watch
'11078': A monkey standing on a ledge in front of a lemon tree.
'11079': A man holds his small child in his lap next to a woman.
'11080': 'Two dogs are lying on the brown couch. '
'11081': a woman on a tennis court getting ready to serve the ball
'11082': The street signs for Gladys and Detroit streets are leaning against
a wooden pole.
'11083': A music band and several people are grouped together in a public
area.
'11084': Plate of food that includes chicken, beans and carrots.
'11085': Two adult hands touching computers together as a third watches.
'11086': A pile of different colored bags of luggage sitting on a floor.
'11087': A man holding a plastic utensil and a woman passing out a piece
of cake.
'11088': A very tasty looking dish of pasta with some shrimp and broccoli.
'11089': A room with a black and white tiled flooring and a chandelier hanging
from the ceiling.
'11090': A large jetliner landing in front of a dry grass field.
'11091': Three zebras standing in front of a wall.
'11092': A picture of a recently married couple hung in front of glass.
'11093': A group of kids holding teddy bears and looking happy.
'11094': A tennis player misses a high ball in front of an audience.
'11095': A man is miming petting a giraffe statue.
'11096': A bus and a car are driving in an intersection, past a furniture
shop.
'11097': A man holding an umbrella next to a waterway with a sailboat passing
by.
'11098': A red and white vase with tall tulips in water.
'11099': There is a tractor next to some boats on the beach
'11100': A yellow cat licks a doughnut in front of a black toy.
'11101': A person without a rainbow umbrella looking at the ocean.
'11102': A girl with a blue shirt brushing her teeth with a green toothbrush.
'11103': A bicycle on the side of a street.
'11104': The vanity is stripped of any decoration, with no flower arrangement,
glass candles, or perfume bottles.
'11105': A group of animals standing next to each other.
'11106': Wooden sheep in hay next to black and white fence.
'11107': A herd of gazelles are prancing gracefully through a field.
'11108': A view of clouds with several planes flying in formation in the
sky.
'11109': A young basketball player dribbling the ball at the three-point
line.
'11110': A lady is looking on while many others pose for the camera.
'11111': There is a small glass vase that has a succulent plant in it.
'11112': A white small bathroom showing the toilet bowl and sink with beige
tiles.
'11113': A banana is on a plate with cookies and peanut butter.
'11114': The business and billboards are clearly visible.
'11115': Color corrected photograph of a person carrying a red, white and
blue umbrella.
'11116': A living room with a white carpet and black furniture.
'11117': Someone holding out their hand with a rusty pair of scissors on
it.
'11118': A reflection of a dog looking out a smudged window in a side view
mirror.
'11119': A woman in a purple shirt is about to catch a white frisbee.
'11120': Several slices of meat are next to a pizza.
'11121': A sheep standing on the grass in front of a fence
'11122': There are many vases on display outside the building.
'11123': A person walking along the beach with a surfboard.
'11124': A restaurant with red stools next to a bar and a blue table.
'11125': A clock sits above green bushes under a blue sky.
'11126': 'A little kid is swinging at a water balloon. '
'11127': A man sitting on a bench with a tall building behind him.
'11128': A man throwing a doughnut with a sly look.
'11129': A group of people and bicyclists are walking and riding alongside
the road.
'11130': A young boy flying a colorful kite on top of a cracked sidewalk.
'11131': The helicopter is parked at the gate at the airport terminal.
'11132': An orange bike parked on a side walk.
'11133': A colorful umbrella sitting outside of a pink building.
'11134': Four zebras run across a grassy plain.
'11135': The shiny motorcycle has been taken off display.
'11136': A view of a bunch of pottery at a very old store.
'11137': A woman is laying in a hospital bed and is hooked up to several
machines.
'11138': Two babies sitting on their rubber duckies and potties in the bathroom.
'11139': A duck floating in the water near a bunch of grass and rocks
'11140': Two bears in the water with their mouths open growling at each
other while a bird is chirping nearby.
'11141': A close up of people standing on a public transit train.
'11142': A green bowl of white granny smith apples.
'11143': People sit around a table that is free from liquor bottles.
'11144': Two glowing signs with arrows and a man standing on the sidewalk.
'11145': Three birds flying over a dry grass field.
'11146': Carrots are sitting on the stand outside in a bunch
'11147': A woman in a yellow shirt is about to catch a white frisbee.
'11148': Several cows and a horse are lying down in a field of grass.
'11149': A picture of a variety of refrigerators and dishwashers on display.
'11150': The view of a bathroom with a wall mounted sink and a plant.
'11151': A tan colored teddy bear and a book sit on a crochet covered chair.
'11152': A little boy with a pink blanket and a book sitting on a couch.
'11153': A seagull is walking on a grassy beach.
'11154': 'The skier is leaning forward while jumping through the air. '
'11155': a painting of fruit and a candle with a vase
'11156': 'a close up of two cell phones near one another '
'11157': A dog is laying with its water dish in front of it.
'11158': An elephant and a tiger are alone in a wooded enclosure.
'11159': A group of four zebras standing in similar positions.
'11160': A huge Fed Ex truck with three different containers that the truck
is pulling.
'11161': People are flying kites in the park and walking.
'11162': A bus parked to the side of an empty road.
'11163': A girl is sitting next to a wall and looking down at her cell phone.
'11164': Blurry photograph of a traffic signal clock light on a street corner.
'11165': A herd of cows grazing near a pond in a grassy field.
'11166': A flower stand and a fruit stand on the side of a sidewalk.
'11167': A small campaign trailer parked in a parking lot.
'11168': A stack of different electronics devices on a table.
'11169': A couple of people are crossing a busy street with a bike lane.
'11170': No one is in the room but there are chairs and a table.
'11171': A large jet airplane parked next to a domed tower.
'11172': A man standing on a blue beach holding a wet board.
'11173': A woman standing on a bench and a woman sitting behind the bench
at a bus stop.
'11174': A white toilet with a black seat next to a tiled floor.
'11175': 'Two people are walking close to each other on the side of the
road. '
'11176': A living room with a couch and a bookshelf and a chair.
'11177': A bunch of bikers are dispersed throughout a city street.
'11178': Two men and a kid are standing in a room playing a game with Nintendo
Wii controllers.
'11179': A wet dog is playing with a string of balls.
'11180': A woman standing on the side walk with her child.
'11181': Several desserts sitting behind a glass window with handwritten
display cards in front of them.
'11182': A table full of bananas and umbrellas being sold outside.
'11183': A large bedroom features wooden cabinets and a marble counter top.
'11184': A sandwich and some grapes are sitting on top of a tablecloth.
'11185': A bench at the beach next to the sea
'11186': A very large pizza covered in cheese and toppings.
'11187': This is two birds pecking at the remnants of a burger and a french
fry at an outdoor restaurant.
'11188': A table with plates and candles and a bottle of alcohol.
'11189': A pregnant woman beside the bed reading a book.
'11190': A man by desk with mixing equipment, a keyboard, a guitar, and
a computer monitor.
'11191': Three zebra standing next to each other on a dirt hillside.
'11192': A close up of a bathroom sink with a cup and toothbrushes.
'11193': Three men laughing at some pictures from a projector.
'11194': A group of zebras that are standing in the dirt and a puddle.
'11195': What appears to be a beach-side eatery doesn't have an outdoor
area with a metal railing and high stools, but there is a tilted walkway
with a sign and a bench with a logo on it.
'11196': A white yellow and blue train and a bus are at an empty train station.
'11197': Some elephants walk together through the grass while a lion watches
from a distance.
'11198': The people are practicing riding their surfboards and sitting under
umbrellas on the beach.
'11199': A very young boy is using a keyboard on a laptop computer.
'11200': A bus parked outside and below an illuminated Apple sign.
'11201': There is a living room with a wide open view and a bookshelf.
'11202': A man is on a bicycle and two are on scooters.
'11203': A small child laying in bed drinking a frothy bottle of milk.
'11204': A bathroom with a toilet, a plant, a stand and a footwear on the
floor.
'11205': A picture of a person doing a skateboarding trick.
'11206': A sandwich is sitting on a wood plate on top of a white table.
'11207': a large zebra standing next to a tree
'11208': A white stove in a very small kitchen.
'11209': A woman off skis on a ski slope posing for a picture.
'11210': There is a young child that is putting away his toothbrush.
'11211': 'the people are all in a restaurant some are sitting '
'11212': An empty plate on a table.
'11213': A man, woman, and child are sitting on a couch playing a video
game.
'11214': A home player crosses baseball plate as his teammate waits.
'11215': An old woman leans on her back while sitting on a plain bench.
'11216': A bathroom with white appliances and orange walls.
'11217': A group of people standing inside of a double decker bus.
'11218': A group of people walking down a mountain road.
'11219': A lower shot of someone riding their skateboard while being filmed
by a camera.
'11220': A group of women and children wearing hats while standing at a
dessert table.
'11221': A clock fastened to a lush brick store front reads 10 after 10.
'11222': a dog laying in the grass with a black and white frisbee
'11223': A man sitting in a chair with a cat and a book.
'11224': A collection of kitchen utensils in a metal bowl.
'11225': A series of photos of two plates with different desserts and another
plate with a cup of coffee.
'11226': A cup and a plate with food on it on a table far from a toilet.
'11227': A man is helping an athlete on a sport field.
'11228': A stuffed animal sitting in front of an electric tooth brush.
'11229': A child brushing their sparkling teeth in a bathroom.
'11230': A person cross-country skiing on a winters day.
'11231': Small work trucks sitting on the side of the street.
'11232': A green flowering bush yields flowers not yet ready for picking.
'11233': Several surfboards and kites standing in a row on the beach.
'11234': A fish eye shot of people sitting outside at a cafe.
'11235': A dog catching a yellow Frisbee in it's mouth on a green grass
covered field.
'11236': A cat sitting beside a laptop on a desk.
'11237': A hand holding a water bottle in front of a cat.
'11238': A white cat sits in a black bathroom sink.
'11239': Two glass clocks sit behind a small window.
'11240': A woman standing next to train tracks with bags of luggage.
'11241': A copse of men sitting across from each other at a table.
'11242': Three toy teddy bears are set on a stuffed picnic scene.
'11243': A black bicycle with a blue basket on the front of it.
'11244': A couple is dressed in yellow and the male has a drink.
'11245': A plate of half eaten pizza, and salad.
'11246': A woman is sitting in a chair with an umbrella.
'11247': The girl without glasses is eating a slice of pizza.
'11248': People in an audience taking pictures and holding balloons with
their cell phones.
'11249': A man holding a book while standing next to a gate.
'11250': A woman working on her laptop in the dark.
'11251': Cows are grazing in a wet pasture with birds.
'11252': An old woman standing on a bench next to a fence.
'11253': A closeup on some chocolate cake has a spoon and a fork by it.
'11254': A group of zebras stand together by a lamplit rock wall.
'11255': The bottom of a jumbo jet is parked on the runway.
'11256': A woman in yellow shirt and black shorts playing a game of tennis.
'11257': A flock of sheep walking along a grassy hillside grazing.
'11258': there is a metal hydrant surrounded by three fire poles.
'11259': A Caucasian child brushes their teeth with a blue toothbrush.
'11260': Interior bathroom shot of a glass shower and white sink fixtures.
'11261': A young boy playing on floral printed sheets.
'11262': A cat and a bird are on a stool with something on their heads.
'11263': 'A vase with a variety of flowers sitting in the window. '
'11264': A group of people riding motorcycles and horses on a race track.
'11265': An old doctors office with two windows with curatins.
'11266': A red and white plane flying over a runway.
'11267': A large living and dining room area with rich wood features.
'11268': A hot dog is next to a plate with macaroni and cheese.
'11269': A street with two busses and people walking.
'11270': A man and a child are holding up what appears to be a chocolate
dessert.
'11271': A man opening a fire hydrant on a city side walk.
'11272': A tall tower with a clock stands behind a skyscraper.
'11273': Large collection of cookies shaped like hearts on a display.
'11274': A young woman on a wooden bench using a laptop.
'11275': A bunch of heart shaped cakes and cupcakes are on display.
'11276': 'a two layered cake sits on a table top '
'11277': Two brown bears and a fox interacting in a rocky area.
'11278': a plate with a bowl of tomato soup and two halves of a grilled
cheese sandwich.
'11279': A yellow dog tied to a large fire hydrant.
'11280': Skiers and snowboarders mill about on a mountain.
'11281': Muddy water is coming out from a water hose.
'11282': The skillet is lacking diced meat and mixed vegetables.
'11283': A man laying flat on a surfboard paddling through the water
'11284': Food items displayed such as coffee cake, a pastry, bananas, and
a beverage in a glass cup.
'11285': A group of children are standing and sitting beside each other,
with a large paint canvas in front of them.
'11286': A woman on skis sliding down a snowy hill.
'11287': A woman laying in a hospital bed hooded up to machines.
'11288': A herd of elephants are marching triumphantly around a field.
'11289': Two squirrels running in a park.
'11290': A glass table with a purple laptop and orange pen.
'11291': Several fruits are displayed in a commercial refrigerator.
'11292': A street scene with a white carriage pulling a horse.
'11293': Several umbrellas in identical styles can be seen with rain on
them.
'11294': A young kid and their grandparent are holding a box of pizza.
'11295': two people sitting at a table posing for a photo
'11296': Zebras, giraffes, and monkeys are together in a zoo cage.
'11297': Two guiding signs and parking meters are pictured in front of a
busy street.
'11298': A dog and a lamp sit on top of a bed in a room.
'11299': People are running along a sidewalk in a city.
'11300': Toilet with a white lid and rolls of toilet tissue in a bathroom.
'11301': Two motorcycles are parked in front of a van in a parking lot.
'11302': A blueberry cake is on a plate and is topped with strawberries
and butter.
'11303': Two giraffes look over a shiny railing blockade.
'11304': Two teams are playing baseball with the umpire coaching the catcher.
'11305': A little boy drinking milk from a metallic bottle while laying
in bed.
'11306': A very simple living area with a table, sofa and TV.
'11307': A man in white is playing on a tennis court.
'11308': Many bicycles are parked next to one motorcycle.
'11309': A woman sitting on ledge with three pigeons, with gate railing,
trees, and base of the Eiffel Tower next to her.
'11310': An outdoor sitting area next to the sidewalk of a restaurant.
'11311': A man is flying a kite and throwing a frisbee in an open area.
'11312': Several people descending a hill wearing snow gear.
'11313': Several people can be seen at the base of the mountain.
'11314': 'The rail trolley is driving in front of other automobiles. '
'11315': Two pieces of hard luggage are seen here.
'11316': 'Several people are standing outside a large boat. '
'11317': A black cat with green eyes sitting in a bathroom sink next to
a rubber duck.
'11318': A woman holding a game controller with a man looking on.
'11319': A very cozy looking office with an oval table.
'11320': A vase of flowers on a dining table.
'11321': a brown white and black dog is laying on a gray couch
'11322': a crochet covered teddy bear sits on a tan colored chair.
'11323': a woman poses in front of a giant pizza
'11324': A child is watching a sheep while another sheep is being petted.
'11325': The office has red walls with a blue chair.
'11326': A herd of elephants standing on top of a field near a pond.
'11327': Some cows standing near each other in a fenced in area.
'11328': Many caps and gloves sit in front of the players in a baseball
dugout.
'11329': an old man sitting on top of a horse next to the mountains
'11330': A young lady swinging a tennis racquet on top of a tennis court.
'11331': Food trucks are parked around small oval tables.
'11332': Plates of food and two glasses of red wine are on a table.
'11333': People at the beach enjoying the day and surfing
'11334': The white bridge stretches out over the horizon as the transport
train travels below it.
'11335': Interior bathroom shot of a tiled shower and white sink fixtures.
'11336': The rooster is standing in the shade of the tree.
'11337': A woman uses a laptop in an otherwise dark room.
'11338': A tennis match with one of the players serving the ball.
'11339': A wooden table with a purple laptop, an orange pen, and a coffee
mug.
'11340': there is a man and a woman posing in a kitchen
'11341': A painting of a vase with a sunflower on a table.
'11342': A woman skiing down a snowy, tree-lined path.
'11343': 'An eighteen wheeler truck is parked in a lot. '
'11344': A tall boy standing in the grass with a kite in the sky in the
background.
'11345': A baby in a plaid shirt with a teddy bear is eating a frosted cake.
'11346': A cat is sitting on a recliner back in a room with a bookcase facing
the television.
'11347': a statue of a bear wearing a red ribbon
'11348': The barefoot young boy is flying his kite on the beach by the water.
'11349': Motorcycles and mopeds scatter across a side street during the
day in a city.
'11350': A giraffe in front of a fence eating grass from a feeder.
'11351': A big black and white zebra standing next to a pole.
'11352': A gray cat standing on top of a black car.
'11353': A black man running towards the tennis ball with his racket.
'11354': A man pulling a carriage with a white horse on it.
'11355': 'a group of zebras staning in line next to some trees '
'11356': A brown cat laying on the ground with a metal bowl in front of
him.
'11357': Two friends throwing a frisbee on a paved lot.
'11358': The young woman is kissing the young man on top of his head.
'11359': Many jerseys and gloves sit in front of the players in a baseball
dugout.
'11360': A stop sign that is lying on its side.
'11361': Two animals playing outside near a water fountain and a tree branch.
'11362': Two glass containers sitting on top of a wooden table.
'11363': A vase filled with flowers next to an empty smaller vase.
'11364': A lady and a little girl flying a kite on a sandy field.
'11365': A young man balances himself as he tilts his skateboard up at the
edge of an obstacle.
'11366': A camera sits on a tripod connected to a laptop.
'11367': A stack of different electronics devices on a glass table.
'11368': A group of four women stand together in front of heart-shaped pizzas.
'11369': A red plate topped with broccoli, fish and veggies.
'11370': A plate of noodles and broccoli are shown.
'11371': a man in a white shirt playing with a blue ball
'11372': A large open area of land that has several zebra of different sizes
and spotted warthogs near them.
'11373': A bird is sitting inside of a bathroom sink.
'11374': A room with a sink, bed, toilet, and a painting in it.
'11375': Some people who are placing luggage beside a runway.
'11376': An elderly woman is holding onto lawn decorations.
'11377': Two men standing in room playing a game with Nintendo Wii controllers.
'11378': A woman and a child are standing looking at something.
'11379': 'A group of motorists pass very large buildings in asia. '
'11380': A picture of a recently married couple displayed behind glass.
'11381': A couple celebrating a birthday outside.
'11382': A plastic bear sitting in front of toy wooden shapes.
'11383': A black bike hangs from a brown bed.
'11384': A city street with teddy bears on a statue.
'11385': A sepia-toned picture of a recently married couple displayed behind
glass.
'11386': A hotel room with a bed, a chair, white walls, and a television.
'11387': A solo motorist passes very large buildings in Asia.
'11388': A black and white cat laying on white blanket next to a remote.
'11389': A Superman toy is lying face down on top of an empty plate of food.
'11390': A couch, two laptops, and chairs are in a room.
'11391': A man above a large old oven is preparing food.
'11392': A den with couches, a chair, tables and lamps.
'11393': 'a small child operating a laptop on a bed '
'11394': An elderly man kissing the top of an elderly woman's head.
'11395': African elephants file through lush grass and shrub growth.
'11396': A man in a dry suit stands on a surfboard and rows with a paddle.
'11397': A young lady and a boy are throwing a blue frisbee while standing
on a lush green field.
'11398': A photo of an elderly male in a suit jacket and tie.
'11399': A man standing near a table with video equipment and a microphone.
'11400': A hot dog with a pickle and a bun with some mustard.
'11401': Two small birds walking on a sidewalk next to patches of grass.
'11402': Two girls that appear to be sharing food while another looks on.
'11403': A woman who is cooking in the kitchen.
'11404': Two birds are sitting on some tree branches.
'11405': A vase filled with flowers and a candlestick next to a smaller
vase filled with even more flowers.
'11406': Three zebras grazing in a pasture side by side.
'11407': A woman looks at a cart full of bananas.
'11408': A group of people without skis and snowboards stand on a mountain.
'11409': a cat is standing up to a white toilet
'11410': A man preparing food on a small old oven.
'11411': Two giraffes in a zoo enjoy a walk and a snack
'11412': A bearded man laying flat on a surfboard paddling through the water.
'11413': 'Vase with a handle containing flowers sitting on table. '
'11414': Two large trucks and a bicycle are travelling along a tree-lined
roadway.
'11415': A white lion is laying down in its pen.
'11416': A just married coule feed each other cake while a photographer
takes photos.
'11417': A man holding open an oven door in a kitchen.
'11418': A cat is on top of a rusted car in the dark.
'11419': 'Three people sitting on a bench in front of a lake. '
'11420': A hot air balloon floating in the air during the day.
'11421': a stuffed bear is sitting with a toy
'11422': a run down building with two planters outside the door
'11423': Fork, spoon and knife surround a plate of picnic food.
'11424': A lady wearing a scarf and blue jeans.
'11425': A truck is sitting on the outskirts of a wooded area.
'11426': A man's reflection taking a picture through a shop window.
'11427': 'a white and brown cat sitting alone on a bench '
'11428': A young lady throwing a blue frisbee while standing on a lush green
field.
'11429': The broccoli is being cooked with ham and carrots.
'11430': 'a desk with a keyboard, mouse and two monitors on it '
'11431': A bus traveling on a freeway next to other traffic.
'11432': A pair of black boots stand next to a red umbrella and a blue hat.
'11433': 'a small elephant walks underneath a big elephant '
'11434': Several birds standing in the snow near trees.
'11435': Outside view of the MGM Grand in Las Vegas with people sitting
and walking.
'11436': Twilight at a rainy city intersection with lit street signs.
'11437': a person that is cutting a cake on a tasble
'11438': An orange calico cat inside a vehicle.
'11439': The bedroom is clean and ready for the guests to use.
'11440': Several basketball players in the middle of a game.
'11441': A person is pushing a skateboard on the street.
'11442': 'Two sheep and a ram stand next to a fence in the yard '
'11443': A painting of a sunflower with a vase on a table.
'11444': Children & one adult flying a kite in an open area
'11445': A woman standing on a sidewalk while using an umbrella and a cell
phone.
'11446': A computer desk has two monitors and other equipment beside it.
'11447': A woman is taking two turkeys out of the oven.
'11448': A group of people on a sidewalk with their mobile phones.
'11449': there are two brown bears that are playing together in the water
'11450': A bedroom with white cabinets and brick walls.
'11451': A blue commuter train traveling towards a train tunnel.
'11452': AN INSPIRION LAPTOP SITTING ON THE TOP OF A TABLE WHICH IS WOOD
'11453': A sheep with its mouth open in a white pen.
'11454': There is a banana on a beach chair with a small umbrella
'11455': A man wearing a scarf, sunglasses, and a black hat.
'11456': A baseball player holding a bat next to home plate.
'11457': Two zebra having a fight beside a dry grass field.
'11458': THERE IS A BUS PARKED ON THE SIDE OF THE STREET
'11459': A sandwich on a plate with three slices of bread, avocado and chips
on the side.
'11460': A man is walking a dog next to a sidewalk.
'11461': there is a very beautiful zebra that is standing in the shade
'11462': A pregnant woman laying in bed reading a book with a lamp next
to her.
'11463': a man swinging a tennis racket and hitting a ball on a tennis court.
'11464': A blue pot of tomato sauce with spices and a wooden ladle.
'11465': A group of people and luggage on a airport tarmac.
'11466': A spotted herd of sheep walking across a lush green field.
'11467': A computer desk topped with two monitors and a laptop.
'11468': A broken stuffed animal is sitting on two wooden chairs.
'11469': Some very nice looking boats on the beach.
'11470': A dancing newly married couple cutting a cake in a park.
'11471': A moped and utility truck next to a small building.
'11472': A bunch of people with musical instruments are sitting in the back
of a dump truck.
'11473': An airplane flying in the sky over some trees.
'11474': An elderly person holding a toothbrush and brushing their teeth.
'11475': 'A city street with a rainbow in the background '
'11476': An old rusted fire hydrant is on the ground near a painted wall.
'11477': this is people standing in the sidewalk near a bus
'11478': A rhinoceros standing in tall grass with trees.
'11479': A man is leaning over a fence offering food to an elephant/
'11480': Skiers on a ski slope; one laying on the ground next to a snowman.
'11481': People sitting at tables inside a large clock tower.
'11482': A robot sprays the inside of a toilet.
'11483': A tall work truck parked in yellow grass.
'11484': A picture of a young boy laying on top of a hammock.
'11485': A parachute flying in a deep blue sky.
'11486': A woman laying down on a bathroom floor by a metallic trash can.
'11487': Bikes are lined up in the store on the floor
'11488': A commercial airplane with propellers flying through the air.
'11489': A plate holds a large salad with broccoli.
'11490': A man sitting at a table and bench with an open umbrella sitting
on the bench.
'11491': A room with black and white tiled flooring.
'11492': a woman standing on skiis while posing for the camera
'11493': A cat sitting in a bathroom sink next to a cracked mirror.
'11494': A large pizza and a baguette are on a stone pizza cooking tray.
'11495': A little girl walking along a row of orange cones.
'11496': Young men playing on the beach with a cow in the foreground.
'11497': 'The man is getting ready to hit the ball in the baseball game. '
'11498': A cow standing in a grassy open field.
'11499': Male children and young men in a small group picture.
'11500': A grandfather, two young children, and a large teddy bear are sitting
on a couch.
'11501': A man holding a kite on a beach during the day.
'11502': An attractive young woman leads a grey horse through a paddock.
'11503': A cracked plate filled with pastry on a table.
'11504': Two huge bears sitting on a weathered wood chair.
'11505': Large collection of cakes shaped like hearts on a display.
'11506': A houseplant sitting in front of a tooth brush.
'11507': A man sitting on a bench with a pillow in a wood.
'11508': A parking meter on the side of the street lacking a ring for attaching
bicycles.
'11509': The black and white photo shows a boat tilting a large cargo crate.
'11510': A stable full of lambs and chickens standing and laying around.
'11511': A hot dog is smothered with bacon, onions, and mustard.
'11512': A woman sits on a bench watching the park.
'11513': A herd of sheep sleeping on a pile of hay.
'11514': Two women and a toddler are barefoot and holding game controllers
in each hand.
'11515': A white polar bear is standing up in its pen.
'11516': A large pot of vegetable soup with a large wooden spoon.
'11517': 'A boy playing tennis on a blue and green tennis court. '
'11518': A pole with multiple street signs in front of a tall building.
'11519': A laptop with some other electronics next to it.
'11520': Two women using nintendo wii remotes to play a game.
'11521': People playing the Wii together in a room.
'11522': A brown horse that is standing next to a fence.
'11523': A number of people sitting on benches under umbrellas.
'11524': A baby holding a man while standing in front of a mirror.
'11525': A dog is playing with a ball in the grass.
'11526': An airplane is parked next to a domed tower.
'11527': A group of four women stand together in front of pizzas.
'11528': Empty stylish kitchen and living room without big picture windows.
'11529': Two dishes holding a bunch of vegetables, fruit, and cheese.
'11530': A man taking a photo with his left hand and eating food with his
right hand.
'11531': A small wheeled airplane is flying over an open runway.
'11532': City dwellers walk by as a homeless man begs for cash.
'11533': A red Dodge truck is parked near another Dodge and a motorcycle.
'11534': A lonely cow grazing on a lush green field.
'11535': Seagulls are watching a family playing a game of frisbee on a wet
sandy beach.
'11536': A collection of sinks, and basins are on display.
'11537': A man posing for the camera standing on skis.
'11538': A makeshift bedroom is decorated in plastic and cardboard.
'11539': A couple of zebra standing by a river.
'11540': A rooster is walking on a sandy beach.
'11541': A child and a man riding a skateboard up the side of a cement ramp.
'11542': A green, white and blue fire hydrant on a city sidewalk.
'11543': Closeup of a cake that is sitting on a white plate.
'11544': A close up of a bowl of uncooked rice and a jar of oil.
'11545': A truck with a snow plow attached to the front.
'11546': A cat sitting on the woman's lap while she types on the laptop.
'11547': A woman on a cellphone sticking her finger in her ear.
'11548': A room with a bunk bed and a fire extinguisher in it.
'11549': Several people holding umbrellas and standing next to deer.
'11550': There is a doll standing in the middle of a toy bathroom.
'11551': A billboard prohibiting bicycles, skates, and skateboards.
'11552': 'A vase full of flowers on a bathroom sink counter. '
'11553': A dog is sitting with its water dish in front of it.
'11554': People at the pier enjoying the day and surfing at the beach.
'11555': A tattooed man standing on a lush green field under a kite.
'11556': A man pulls an elephant out of a truck.
'11557': The room has red walls with a blue chair
'11558': Many people standing in a field flying kites.
'11559': A giant bird perched on a piece of wood.
'11560': A cat standing in front of a tv next to a tv stand.
'11561': A group of birds and a frog are in a bunch of puddles.
'11562': A man holding a stick standing next to a green hillside.
'11563': Two real vehicles and a police box are set up in a street scene.
'11564': Closeup of a cup holding scissors, pens, pencils, and tape.
'11565': A door is open to a white bathroom that has a black garbage back
on the floor.
'11566': A burger sitting on a table, with another next to it.
'11567': A parrot watches as its owner uses the laptop.
'11568': A picture of twin flowers in a room with two beds above it.
'11569': Person standing near the water with a red disc in hand.
'11570': A meal of burnt toast slices with condiments on the side.
'11571': Searchlights in front view and a helicopter and a plane on a wide
runway in the background.
'11572': Surboarders are in the water and kayaks are waiting on the shore.
'11573': A pair of zebras grazing on grass in a zoo.
'11574': A woman with a book bag sits on a ledge with her cell phone.
'11575': A boy and a plant are sitting on top of a couch under a pink blanket.
'11576': A simple clock on the side of a building next to a tree.
'11577': A street sign permitting bicycles, skates, and skateboards.
'11578': A cat jumping on a bathroom faucet.
'11579': A woman putting away a camera.
'11580': A small sheep is sleeping under a wooden fence post.
'11581': A bird perches on top of an entertainment center in front of a
TV.
'11582': Two people on a bench with an umbrella near the water.
'11583': A zebra standing on a fence to eat some grass.
'11584': Several people sit on the ground, with a few kites in the background.
'11585': A group of people are sitting at a table holding video game controllers.
'11586': A floral patterned bear sits on a Teddy chair.
'11587': A couple of silver cars were driving past a fire hydrant.
'11588': A grilled sandwich with cheese placed beside a tray.
'11589': A beautiful woman sitting on a mossy brick wall.
'11590': An advertising billboard featuring the statue of an elephant with
a howdah beside it.
'11591': One zebra kicking at the back of another.
'11592': People are sitting in chairs on phones and computers.
'11593': A close up of a mailbox with two hand written notes taped to it.
'11594': a white goat standing next to two black goats
'11595': A man relaxing at home, watching television with his cat.
'11596': A man stands on a fishing boat as the tide rolls in from the shore
on a desolate beach.
'11597': A bathroom with a glass shower, glass and wood vanity, a plant,
and a toilet.
'11598': A cute cat laying down in a sink.
'11599': A herd of elephants walking out of a large body of water.
'11600': A bear on a snowboard who is performing a trick.
'11601': A man holding a tennis racquet on a court.
'11602': A gentleman is passing by people waving a flag in a train.
'11603': A grey cat is laying on an orange sofa.
'11604': The group of zebras are running in the field.
'11605': An elephant walks alone past some big rocks boulders in a closed
field.
'11606': A building with a clock that is in front of a building.
'11607': A big bin filled with some ripe red apples.
'11608': A group of pianos standing in a room next to each other.
'11609': this is a street sign for W. Centre st.
'11610': Grey plane taking off above some green vegetation.
'11611': A woman is in action on a green tennis court.
'11612': There is a very large burger with different toppings on it.
'11613': There are several different sinks and mirrors of all different
colors.
'11614': A toilet and a mirror in a tiled stall with rainbow streaks around
the room.
'11615': A few cows next to a body of water in a field.
'11616': A lunch box of some sorts is taken from the table.
'11617': A picture of a monkey staring at the ceiling.
'11618': A dog is reaching up to grab a Frisbee in his mouth.
'11619': A person holding up a chocolate doughnut with a face drawn on it.
'11620': Two little girls are dressed in uniform preparing for the day
'11621': A young man is hugging a young woman tightly.
'11622': The broccoli is being cooked with ham and zucchini.
'11623': A woman smiles as she stands in skis on a snowy hill.
'11624': A gentleman walking in the torrential rain along a river.
'11625': A cat in a bathroom with a clawfoot tub and a toilet.
'11626': A group of sheep are grazing in a field.
'11627': Several hats in different styles can be seen with rain on them.
'11628': a vase with flowers on a display near a wall
'11629': A woman sitting on a laptop computer next to a cat.
'11630': Two bowls both have food next to a bottle of Wine.
'11631': A bear sitting on a log with a really long tongue
'11632': A bicycle is standing far from a bed in a room.
'11633': 'A group of guys in a dugout with their gear '
'11634': a person standing on cement lift his leg over a brief case
'11635': A vase full of red flowers sits in a room with red walls and red
decorations.
'11636': A black and white photo of a desk with a lamp, keyboard, and monitor.
'11637': 'The child smiles brightly while being handed a pink umbrella. '
'11638': A plate of waffles with blueberries and strawberries on top.
'11639': A close up of a stop sign with two printed notes taped to it.
'11640': A small child playing with some toys in a field.
'11641': A red toilet with many pipes and wires in front of it.
'11642': A woman sitting at a table in front of a pile of books on a bookshelf.
'11643': Closeup of bathroom sink with oral care devices and a coffee mug.
'11644': A partial sliced open piece of bread with some hotdogs in the middle
'11645': A young boy who is holding a kite in his hands.
'11646': 'A man sitting cross legged in front of a mirror on the floor taking
a self portrait '
'11647': A couple of monogrammed pieces of very nice looking luggage.
'11648': Two young women are washing two gilded motorcycles with hoses.
'11649': A man getting his hair dried with a small child standing behind
him.
'11650': A woman riding a snowboard down a snow covered slope.
'11651': A blue tennis racket has a yellow tennis ball on it.
'11652': A american flag painted fire hydrant with chains hanging at it
side.
'11653': An open laptop and speakers on top of a desk.
'11654': A man taking a picture up at the sky with his phone.
'11655': A woman leans forward while swinging a tennis racket.
'11656': A camera is shown viewing 3 muffins, one of which is being touched.
'11657': The meal consists of chopped chicken with cheese and brocolli.
'11658': A little boy drinking milk from a bottle while laying in bed.
'11659': A clock and a sundial are mounted to the side of a tower.
'11660': A cat sleeping next to a bike parked against a wall.
'11661': A cat sitting in a tree, staring at the camera.
'11662': Three people and a baby are standing in front of trays of doughnuts
and bagels.
'11663': A room with a big window and a potted plant on the side of it.
'11664': A bathroom with a toilet, bathtub, cat, and a mirror.
'11665': A person walking down a street past a teddy bear sign.
'11666': Luggage is arranged in groups on a concrete platform with umbrellas.
'11667': 'A brown crust of pie with strawberry filing. '
'11668': A group of zebras in a field by a lake and some trees.
'11669': A street scene with motorcycles parked along the side of the road
with people dining outside.
'11670': Shelves with two computers and fruit on them.
'11671': Twilight at a city intersection with lit street signs.
'11672': A single slice of pizza with ham slices on it on a glass plate.
'11673': A brown dog lying next to a wooden bench near a lemon tree.
'11674': 'An beautifully designed clock tower with gold and blue. '
'11675': A chef is organizing utensils and containers lining the sink in
a kitchen.
'11676': 'Two zebras grazing while another horse standing and staring. '
'11677': A man in a suit standing far from a control board and computer.
'11678': A pair of sunglasses-wearing girls sit on a bench outside.
'11679': A lady and a child are using a knife and fork to cut a pizza.
'11680': A room filled with paintings, furniture, and very large rugs.
'11681': Pedestrians crossing a street between buses, bicycles, and cars.
'11682': Old appliances inside the back door of a repair shop.
'11683': 'a little girl looking inside the refrigerator. '
'11684': Pigeons sitting in front of the Eiffel tower near a woman.
'11685': a close up of a person holding up a plate of food
'11686': The man is sitting on the park bench using his cellphone.
'11687': Several different opened umbrellas all located near each other.
'11688': Some green yellow black white and orange insects and some plants.
'11689': Many cars sit parked on the side of a street.
'11690': Hot dog on a roll with cheese, onions, and bacon.
'11691': A man and three female workers stand in front of rows of pastries.
'11692': 'a white woman with a blue surf board '
'11693': A motorcyclist stopping on the road to take a picture alongside
a bicyclist.
'11694': A close-up of a misshapen burger and a can of soda.
'11695': A person with an umbrella and two dogs walking in the snow.
'11696': A group of men are riding in the back of a dump truck.
'11697': A woman and baby with an umbrella are at a train platform.
'11698': An image of a flower arrangement on a bookshelf.
'11699': Some kind of a pancake that has broccoli, blueberries, and sauce
on it.
'11700': A moose and two different bears fight with each other behind a
log.
'11701': A woman standing beside the sidewalk with her child.
'11702': a black sheep and others in a corral together
'11703': A person is outside a car with the window rolled down, holding
a phone.
'11704': A painting of some colorful flowers and a lamp are on a table.
'11705': A cow grazing on the grass on the side of a side walk.
'11706': This is a stuffed animal on a toilet seat.
'11707': A woman that is sitting down in front of a wobbly table.
'11708': A sign and a lamp hang above several liquor bottles.
'11709': 'A man doing a trick upside down on his snow board. '
'11710': A parking meter does not have a sign promoting the end to homelessness.
'11711': Three girls sitting on the sidewalk under a sun umbrella.
'11712': A beach with two boats, a tractor, and a hot air balloon in the
sky.
'11713': A desktop computer sitting on top of a glass table.
'11714': A desk with a computer, computer keyboard, mug, red plastic bottle,
empty pen, and a laptop.
'11715': A woman is at bat ready is playing baseball while a man watches.
'11716': A group of young children and a puppy are sitting next to each
other.
'11717': A small goat is standing under a wooden fence post.
'11718': Several people who are sitting on some benches.
'11719': A little boy laughs and runs with a kite in a grassy park.
'11720': A vase of succulent plants on a dining table.
'11721': Two slices of chicken pizza and an ice cream sundae are on a plate.
'11722': A man is standing on a snowy hills with his skiis and a sled.
'11723': 'Pizza pie sitting on top of a table in a restaurant. '
'11724': 'A kitchen has a plain white fridge in the corner. '
'11725': A cat drinking ice water out of a glass.
'11726': A pan filled with mystery goo and another pan with fish fillets
are next to each other.
'11727': Three teenage girls hover under an umbrella while they silently
text on their phones.
'11728': 'Three men and one woman sit at a table eating pizza. '
'11729': A man taking a picture of himself in the cracked rear view mirror.
'11730': A man, woman, and child are playing a wii game.
'11731': Another car is shown with a truck in the back of it.
'11732': An Apple desktop computer system is turned on with a monitor, keyboard,
mouse, two speakers, and other peripherals.
'11733': A girl is standing by a bicycle and a storefront while talking
on her phone.
'11734': An old fashioned refrigerator and a green plant surrounded by modern
cabinets.
'11735': A man and a dog in jackets are standing near a giant TV.
'11736': A kayaker is on the water and is paddling towards a waterfall.
'11737': A teddy bear sitting on the ground in front of many boxes and a
lamp.
'11738': A bowl of pastries and sandwiches beside trays of soup.
'11739': A group of gentleman playing video games in a dimly lit room.
'11740': A group of people walking along a sidewalk with their mobile phones.
'11741': A presenter projected on a large screen at a conference.
'11742': An image of two cakes and a saucepan on the stove.
'11743': 'Three people ride on an elephant in front of a forest. '
'11744': A table with three plates with food and a man and a woman both
holding sauce near plates and utensils.
'11745': Two men and one woman in front of an elephant.
'11746': A very crowded sidewalk with a crooked light pole and a bench.
'11747': A closeup of a hollowed-out pizza with lettuce and bacon.
'11748': A couple of people that are standing near a rusty train.
'11749': A truck loaded with cargo slowly creeps down the street.
'11750': A giraffe standing on top of a grass covered field.
'11751': An overflowing open box of doughnuts on a table.
'11752': A woman with a red umbrella is walking two dogs in the snow.
'11753': A girl is playing a game system while other kids look on.
'11754': A large commercial airplane taking off into the sky
'11755': A plant in a garden near a white building.
'11756': A tall bus driving down a street next to a red building.
'11757': Two parasailers in the distance with a surfer in the foreground.
'11758': A horse and a dog stand in a meadow.
'11759': A woman standing on a tennis court holding a racquet.
'11760': Two friends throwing a frisbee on a sandy lot.
'11761': A line of neon colored motorcycles parked in front of a bar.
'11762': A large bus on the side of a street.
'11763': A girl is onstage singing while the guest on the bike enjoys himself.
'11764': Two women are squatting down and petting brown and white long haired
goats and sheep.
'11765': A traffic light with paper with writing on top of it.
'11766': A woman with a swirling red umbrella is walking two dogs in the
snow.
'11767': Several volleyball players in the middle of a game.
'11768': a kid stands in the snow on his skiis
'11769': A white room with a large window and an oval glass dining table
and white chairs.
'11770': A white refrigerator freezer sitting inside of a kitchen.
'11771': Two stuffed animals sit at a table with honey.
'11772': A teddy bear with a hammer next to a peg board toy.
'11773': A girl is sitting on a brick wall using her cell phone.
'11774': A man riding a snowboard down a snow covered slope.
'11775': The back view of an airplane on a runway.
'11776': 'The living room is empty with the television on. '
'11777': A garbage bag in a black lighted bathroom.
'11778': Two green lit traffic lights with a blue sky behind them.
'11779': A golden obelisk stands in the middle of an ornate building with
a fountain.
'11780': The basketball game is played by teams out of white or blue uniforms.
'11781': An airplane flying in the air during the day.
'11782': A clean bathroom with mirrors, sinks, a shower, and a toilet.
'11783': There is an empty tiled bathroom, with two sinks and a toilet.
'11784': A brown chicken standing on top of a lush green field.
'11785': A black cat sitting inside a bathroom sink
'11786': A green street sign and a traffic light on a pole in front of a
tall building.
'11787': A woman and a child are holding a large pepperoni pizza at a table.
'11788': Some people are walking in a couple of grassy fields.
'11789': A beach chair and umbrella beside the sand on the beach.
'11790': A white bed in a bedroom next to a table on a lamp.
'11791': A car sits parked next to a street.
'11792': A sandwich has cilantro and mushrooms, carrots, and other vegetables.
'11793': A woman and a young girl holding a kite on a green field.
'11794': A white sink in a small, tiled bathroom.
'11795': An elephant in a grassy field with trees
'11796': A woman with a tattoo and a guitar is sitting on the train tracks.
'11797': Some sort of chicken dish with broccoli spears on side of plate
'11798': A view of an overflowing parking lot with parking meters.
'11799': A truck is parked next to a big bin filled with some ripe yellow
bananas.
'11800': A man holding a kite and a surfboard on a beach during the day.
'11801': A very big white rest room with a shabby looking shower and some
plants.
'11802': A vase and a book are on top of a table, with red and white flowers
in the vase.
'11803': A man standing behind a few horses on the street.
'11804': Cow eating grass while a bull watches nearby
'11805': A small child is eating out of a tray.
'11806': A bedroom with a bed, TV and ceiling fan.
'11807': The girl with glasses is eating a slice of pizza and drinking a
soda.
'11808': A young boy is running in a large grassy area.
'11809': 'Two plates both have food next to a bottle of Wine. '
'11810': The snowboarders are enjoying their run.
'11811': 'A little girl is kneeling in front of an open refrigerator. '
'11812': A wood paneled kitchen with dining table and tiled floor.
'11813': Two zebras and giraffes graze on grass inside of an enclosure.
'11814': A picture of a person looking at a skateboarding trick.
'11815': A purple truck is sitting in high grass.
'11816': A tray of books on a wooden table.
'11817': Two small birds walking on a sidewalk next to patches of grass
and a bench.
'11818': A piece of cake with butter on it is far from an orange slice.
'11819': An unbridled mule stands in front of trees and leaves.
'11820': Aerial view of an airplane ascending out of the sky.
'11821': Two boys pet a goat that is in a pen.
'11822': A young boy sleeping on the side of his bed.
'11823': A stop sign on the side of a street.
'11824': A blue and silver train next to train station and mountains.
'11825': An ornate building is pictured at the forefront with a street sign
in the background.
'11826': A cat looking at a tv monitor on a desk
'11827': A man in a suit walked away from a table with computer equipment
on it.
'11828': One apple and several oranges sit in a bowl.
'11829': a living room with a fireplace and a table and chair.
'11830': A banana sitting on top of a white plate next to a pastry.
'11831': A group of people walking down a beach road.
'11832': A plate of noodles with sauce and a fork.
'11833': A street sign mounted to the side of a wobbly pole.
'11834': A close up of a dog on top of a car.
'11835': Two big real bears sitting behind a chained fence.
'11836': A helicopter that is in the hangar for repair.
'11837': Some aliens are seen eating several large pizzas.
'11838': Two clocks are hung on a wall behind a glass sign.
'11839': A smiling pair of skiers and a snowboarder with a huge snow covered
mountain behind them.
'11840': Sheep stand and lay in hay strewn around a barn and a tractor.
'11841': a picture looking in to an umbrella shop
'11842': A group of cars behind a train.
'11843': A young man and his cute cat enjoy a nap together.
'11844': A rabbit standing in front of a flat screen TV.
'11845': Seven sheep and a llama are preparing to be sheered.
splits:
- name: test
num_bytes: 331554762.052
num_examples: 2062
download_size: 315371434
dataset_size: 331554762.052
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "SugarCrepe_add_obj"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
lordvader31/movieclip | ---
license: apache-2.0
language:
- en
tags:
- contrastive
- image_captioning
- knowledge_graph
size_categories:
- 100K<n<1M
---
# Movieclip Dataset
A dataset of 180,000 movie scene images from over 3000 movies spanning 80 years of cinema. The current dataset is a demo dataset with only 180 images. I will add the rest soon.
|
Falconlord69/Agun | ---
license: afl-3.0
---
|
Nandini82/sciq-qa1 | ---
dataset_info:
features:
- name: question
dtype: string
- name: choices
dtype: string
- name: lecture
dtype: string
splits:
- name: train
num_bytes: 3274674.203613323
num_examples: 6334
- name: validation
num_bytes: 267804.6
num_examples: 525
- name: test
num_bytes: 287418.13
num_examples: 551
download_size: 2500960
dataset_size: 3829896.933613323
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
griffin/straight_dense_summ | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: task
dtype: string
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 9735079
num_examples: 2000
download_size: 3461736
dataset_size: 9735079
---
# Dataset Card for "straight_dense_summ"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
notrichardren/deception-evals | ---
dataset_info:
features:
- name: claim
dtype: string
- name: label
dtype: int64
- name: ind
dtype: int64
- name: qa_type
dtype: int64
splits:
- name: train
num_bytes: 69219
num_examples: 924
download_size: 29776
dataset_size: 69219
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "deception-evals"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tasksource/subjectivity | ---
license: mit
---
```
@misc{antici2023corpus,
title={A Corpus for Sentence-level Subjectivity Detection on English News Articles},
author={Francesco Antici and Andrea Galassi and Federico Ruggeri and Katerina Korre and Arianna Muti and Alessandra Bardi and Alice Fedotova and Alberto Barrón-Cedeño},
year={2023},
eprint={2305.18034},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
datasheet:
https://www.dropbox.com/sh/pterfc16inz0h7b/AADN9w-O0KTalP48jk2CK36Ha/data?dl=0&preview=datasheet.pdf&subfolder_nav_tracking=1 |
sudeepag/sampled-cot_zsopt_data | ---
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: _template_idx
dtype: int64
- name: _task_source
dtype: string
- name: _task_name
dtype: string
- name: _template_type
dtype: string
splits:
- name: train
num_bytes: 1084948.665062258
num_examples: 2390
download_size: 525121
dataset_size: 1084948.665062258
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
OdiaGenAI/roleplay_odia | ---
task_categories:
- question-answering
- conversational
language:
- or
tags:
- code
- art
- finance
- architecture
- books
- astronomy
- acting
- accounting
size_categories:
- 1K<n<10K
---
The following dataset has been created using camel-ai, by passing various combinations of user and assistant. The dataset was translated to Odia using OdiaGenAI English=>Indic translation app. |
RaiBP/openwebtext2-first-30-chunks-ablation-bilingual | ---
license: mit
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 13226659772.92769
num_examples: 3540659
download_size: 8328171441
dataset_size: 13226659772.92769
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Amselco/dollyfitext | ---
dataset_info:
features:
- name: ohje
dtype: string
- name: konteksti
dtype: string
- name: vastaus
dtype: string
- name: kategoria
dtype: string
- name: text2
dtype: string
- name: text1
dtype: string
splits:
- name: train
num_bytes: 27850955
num_examples: 14075
download_size: 16930899
dataset_size: 27850955
---
# Dataset Card for "dollyfitext"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
liuyanchen1015/MULTI_VALUE_stsb_linking_relcl | ---
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: score
dtype: float64
- name: idx
dtype: int64
- name: value_score
dtype: int64
splits:
- name: dev
num_bytes: 11810
num_examples: 53
- name: test
num_bytes: 4888
num_examples: 25
- name: train
num_bytes: 16044
num_examples: 61
download_size: 33502
dataset_size: 32742
---
# Dataset Card for "MULTI_VALUE_stsb_linking_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
jlbaker361/artfaces_padded_32 | ---
dataset_info:
features:
- name: image
dtype: image
- name: split
dtype: string
- name: style
dtype: string
splits:
- name: train
num_bytes: 53993261.875
num_examples: 5449
download_size: 53861425
dataset_size: 53993261.875
---
# Dataset Card for "artfaces_padded_32"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
kaleemWaheed/twitter_dataset_1713216857 | ---
dataset_info:
features:
- name: id
dtype: string
- name: tweet_content
dtype: string
- name: user_name
dtype: string
- name: user_id
dtype: string
- name: created_at
dtype: string
- name: url
dtype: string
- name: favourite_count
dtype: int64
- name: scraped_at
dtype: string
- name: image_urls
dtype: string
splits:
- name: train
num_bytes: 20788
num_examples: 49
download_size: 12149
dataset_size: 20788
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
kpriyanshu256/MultiTabQA-multitable_pretraining-Salesforce-codet5-base_train-html-87000 | ---
dataset_info:
features:
- name: input_ids
sequence:
sequence: int32
- name: attention_mask
sequence:
sequence: int8
- name: labels
sequence:
sequence: int64
splits:
- name: train
num_bytes: 13336000
num_examples: 1000
download_size: 652798
dataset_size: 13336000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
yhcao/GQA-MCQ | ---
language:
- ga
- hy
- en
license: cc-by-nc-4.0
---
|
pfsv/atis | ---
license: mit
---
|
MrD05/sdxl_reg_nsfw | ---
license: unknown
---
|
andersonbcdefg/openai-moderation-dataset | ---
license: mit
---
|
open-llm-leaderboard/details_Yuma42__KangalKhan-Ruby-7B-Fixed | ---
pretty_name: Evaluation run of Yuma42/KangalKhan-Ruby-7B-Fixed
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Yuma42/KangalKhan-Ruby-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Yuma42__KangalKhan-Ruby-7B-Fixed\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-02-17T00:20:49.422540](https://huggingface.co/datasets/open-llm-leaderboard/details_Yuma42__KangalKhan-Ruby-7B-Fixed/blob/main/results_2024-02-17T00-20-49.422540.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6347473013166217,\n\
\ \"acc_stderr\": 0.032259927653459516,\n \"acc_norm\": 0.6365178163764577,\n\
\ \"acc_norm_stderr\": 0.03290211517224385,\n \"mc1\": 0.38922888616891066,\n\
\ \"mc1_stderr\": 0.01706855268069033,\n \"mc2\": 0.5648879973341684,\n\
\ \"mc2_stderr\": 0.01540236564556069\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6220136518771331,\n \"acc_stderr\": 0.014169664520303098,\n\
\ \"acc_norm\": 0.6723549488054608,\n \"acc_norm_stderr\": 0.013715847940719337\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6683927504481179,\n\
\ \"acc_stderr\": 0.004698285350019216,\n \"acc_norm\": 0.8522206731726748,\n\
\ \"acc_norm_stderr\": 0.00354155826377909\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5851851851851851,\n\
\ \"acc_stderr\": 0.04256193767901408,\n \"acc_norm\": 0.5851851851851851,\n\
\ \"acc_norm_stderr\": 0.04256193767901408\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119669,\n\
\ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119669\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\
\ \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n \
\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6867924528301886,\n \"acc_stderr\": 0.028544793319055326,\n\
\ \"acc_norm\": 0.6867924528301886,\n \"acc_norm_stderr\": 0.028544793319055326\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\
\ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \
\ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.47,\n\
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5953757225433526,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105653,\n\
\ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105653\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5617021276595745,\n \"acc_stderr\": 0.03243618636108101,\n\
\ \"acc_norm\": 0.5617021276595745,\n \"acc_norm_stderr\": 0.03243618636108101\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\
\ \"acc_stderr\": 0.0470070803355104,\n \"acc_norm\": 0.4824561403508772,\n\
\ \"acc_norm_stderr\": 0.0470070803355104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\
\ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.41005291005291006,\n \"acc_stderr\": 0.025331202438944433,\n \"\
acc_norm\": 0.41005291005291006,\n \"acc_norm_stderr\": 0.025331202438944433\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4603174603174603,\n\
\ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\
\ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7870967741935484,\n\
\ \"acc_stderr\": 0.023287665127268552,\n \"acc_norm\": 0.7870967741935484,\n\
\ \"acc_norm_stderr\": 0.023287665127268552\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\
\ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.65,\n \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\"\
: 0.65,\n \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\
\ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7828282828282829,\n \"acc_stderr\": 0.029376616484945633,\n \"\
acc_norm\": 0.7828282828282829,\n \"acc_norm_stderr\": 0.029376616484945633\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919443,\n\
\ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919443\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6102564102564103,\n \"acc_stderr\": 0.024726967886647074,\n\
\ \"acc_norm\": 0.6102564102564103,\n \"acc_norm_stderr\": 0.024726967886647074\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3111111111111111,\n \"acc_stderr\": 0.02822644674968352,\n \
\ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.02822644674968352\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\
\ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658752,\n \"\
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658752\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8385321100917431,\n \"acc_stderr\": 0.015776239256163227,\n \"\
acc_norm\": 0.8385321100917431,\n \"acc_norm_stderr\": 0.015776239256163227\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\
\ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.803921568627451,\n \"acc_stderr\": 0.027865942286639318,\n\
\ \"acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639318\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290913,\n \
\ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290913\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\
\ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\
\ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313728,\n\
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313728\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\
acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\
\ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\
\ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.032262193772867744,\n\
\ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.032262193772867744\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\
\ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\
\ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\
\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\
\ \"acc_stderr\": 0.022801382534597528,\n \"acc_norm\": 0.8589743589743589,\n\
\ \"acc_norm_stderr\": 0.022801382534597528\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\
\ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\
\ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7138728323699421,\n \"acc_stderr\": 0.02433214677913413,\n\
\ \"acc_norm\": 0.7138728323699421,\n \"acc_norm_stderr\": 0.02433214677913413\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3307262569832402,\n\
\ \"acc_stderr\": 0.01573502625896612,\n \"acc_norm\": 0.3307262569832402,\n\
\ \"acc_norm_stderr\": 0.01573502625896612\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.02505850331695814,\n\
\ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.02505850331695814\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\
\ \"acc_stderr\": 0.026236965881153266,\n \"acc_norm\": 0.6913183279742765,\n\
\ \"acc_norm_stderr\": 0.026236965881153266\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7438271604938271,\n \"acc_stderr\": 0.024288533637726095,\n\
\ \"acc_norm\": 0.7438271604938271,\n \"acc_norm_stderr\": 0.024288533637726095\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\"\
: 0.5,\n \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness|hendrycksTest-professional_law|5\"\
: {\n \"acc\": 0.47327249022164275,\n \"acc_stderr\": 0.012751977967676008,\n\
\ \"acc_norm\": 0.47327249022164275,\n \"acc_norm_stderr\": 0.012751977967676008\n\
\ },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\"\
: 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n \"\
acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6748366013071896,\n \"acc_stderr\": 0.01895088677080631,\n \
\ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.01895088677080631\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
\ \"acc_stderr\": 0.04494290866252091,\n \"acc_norm\": 0.6727272727272727,\n\
\ \"acc_norm_stderr\": 0.04494290866252091\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142773,\n\
\ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142773\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8109452736318408,\n\
\ \"acc_stderr\": 0.027686913588013003,\n \"acc_norm\": 0.8109452736318408,\n\
\ \"acc_norm_stderr\": 0.027686913588013003\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\
\ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.5662650602409639,\n\
\ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\
\ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.38922888616891066,\n\
\ \"mc1_stderr\": 0.01706855268069033,\n \"mc2\": 0.5648879973341684,\n\
\ \"mc2_stderr\": 0.01540236564556069\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7797947908445146,\n \"acc_stderr\": 0.011646276755089693\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6194086429112965,\n \
\ \"acc_stderr\": 0.013373971277729818\n }\n}\n```"
repo_url: https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|arc:challenge|25_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|gsm8k|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hellaswag|10_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T00-20-49.422540.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-02-17T00-20-49.422540.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- '**/details_harness|winogrande|5_2024-02-17T00-20-49.422540.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-02-17T00-20-49.422540.parquet'
- config_name: results
data_files:
- split: 2024_02_17T00_20_49.422540
path:
- results_2024-02-17T00-20-49.422540.parquet
- split: latest
path:
- results_2024-02-17T00-20-49.422540.parquet
---
# Dataset Card for Evaluation run of Yuma42/KangalKhan-Ruby-7B-Fixed
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Yuma42/KangalKhan-Ruby-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Yuma42__KangalKhan-Ruby-7B-Fixed",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-02-17T00:20:49.422540](https://huggingface.co/datasets/open-llm-leaderboard/details_Yuma42__KangalKhan-Ruby-7B-Fixed/blob/main/results_2024-02-17T00-20-49.422540.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.6347473013166217,
"acc_stderr": 0.032259927653459516,
"acc_norm": 0.6365178163764577,
"acc_norm_stderr": 0.03290211517224385,
"mc1": 0.38922888616891066,
"mc1_stderr": 0.01706855268069033,
"mc2": 0.5648879973341684,
"mc2_stderr": 0.01540236564556069
},
"harness|arc:challenge|25": {
"acc": 0.6220136518771331,
"acc_stderr": 0.014169664520303098,
"acc_norm": 0.6723549488054608,
"acc_norm_stderr": 0.013715847940719337
},
"harness|hellaswag|10": {
"acc": 0.6683927504481179,
"acc_stderr": 0.004698285350019216,
"acc_norm": 0.8522206731726748,
"acc_norm_stderr": 0.00354155826377909
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542128,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542128
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5851851851851851,
"acc_stderr": 0.04256193767901408,
"acc_norm": 0.5851851851851851,
"acc_norm_stderr": 0.04256193767901408
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.6973684210526315,
"acc_stderr": 0.03738520676119669,
"acc_norm": 0.6973684210526315,
"acc_norm_stderr": 0.03738520676119669
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.59,
"acc_stderr": 0.049431107042371025,
"acc_norm": 0.59,
"acc_norm_stderr": 0.049431107042371025
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6867924528301886,
"acc_stderr": 0.028544793319055326,
"acc_norm": 0.6867924528301886,
"acc_norm_stderr": 0.028544793319055326
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.75,
"acc_stderr": 0.03621034121889507,
"acc_norm": 0.75,
"acc_norm_stderr": 0.03621034121889507
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620332
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.47,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.47,
"acc_norm_stderr": 0.050161355804659205
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.5953757225433526,
"acc_stderr": 0.03742461193887248,
"acc_norm": 0.5953757225433526,
"acc_norm_stderr": 0.03742461193887248
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3627450980392157,
"acc_stderr": 0.04784060704105653,
"acc_norm": 0.3627450980392157,
"acc_norm_stderr": 0.04784060704105653
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.76,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.76,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5617021276595745,
"acc_stderr": 0.03243618636108101,
"acc_norm": 0.5617021276595745,
"acc_norm_stderr": 0.03243618636108101
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.4824561403508772,
"acc_stderr": 0.0470070803355104,
"acc_norm": 0.4824561403508772,
"acc_norm_stderr": 0.0470070803355104
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.5241379310344828,
"acc_stderr": 0.0416180850350153,
"acc_norm": 0.5241379310344828,
"acc_norm_stderr": 0.0416180850350153
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.41005291005291006,
"acc_stderr": 0.025331202438944433,
"acc_norm": 0.41005291005291006,
"acc_norm_stderr": 0.025331202438944433
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.4603174603174603,
"acc_stderr": 0.04458029125470973,
"acc_norm": 0.4603174603174603,
"acc_norm_stderr": 0.04458029125470973
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695236,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695236
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7870967741935484,
"acc_stderr": 0.023287665127268552,
"acc_norm": 0.7870967741935484,
"acc_norm_stderr": 0.023287665127268552
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5123152709359606,
"acc_stderr": 0.035169204442208966,
"acc_norm": 0.5123152709359606,
"acc_norm_stderr": 0.035169204442208966
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.65,
"acc_stderr": 0.04793724854411019,
"acc_norm": 0.65,
"acc_norm_stderr": 0.04793724854411019
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7818181818181819,
"acc_stderr": 0.03225078108306289,
"acc_norm": 0.7818181818181819,
"acc_norm_stderr": 0.03225078108306289
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7828282828282829,
"acc_stderr": 0.029376616484945633,
"acc_norm": 0.7828282828282829,
"acc_norm_stderr": 0.029376616484945633
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8860103626943006,
"acc_stderr": 0.022935144053919443,
"acc_norm": 0.8860103626943006,
"acc_norm_stderr": 0.022935144053919443
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.6102564102564103,
"acc_stderr": 0.024726967886647074,
"acc_norm": 0.6102564102564103,
"acc_norm_stderr": 0.024726967886647074
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3111111111111111,
"acc_stderr": 0.02822644674968352,
"acc_norm": 0.3111111111111111,
"acc_norm_stderr": 0.02822644674968352
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6848739495798319,
"acc_stderr": 0.030176808288974337,
"acc_norm": 0.6848739495798319,
"acc_norm_stderr": 0.030176808288974337
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.32450331125827814,
"acc_stderr": 0.03822746937658752,
"acc_norm": 0.32450331125827814,
"acc_norm_stderr": 0.03822746937658752
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8385321100917431,
"acc_stderr": 0.015776239256163227,
"acc_norm": 0.8385321100917431,
"acc_norm_stderr": 0.015776239256163227
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.5,
"acc_stderr": 0.034099716973523674,
"acc_norm": 0.5,
"acc_norm_stderr": 0.034099716973523674
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.803921568627451,
"acc_stderr": 0.027865942286639318,
"acc_norm": 0.803921568627451,
"acc_norm_stderr": 0.027865942286639318
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.8059071729957806,
"acc_stderr": 0.025744902532290913,
"acc_norm": 0.8059071729957806,
"acc_norm_stderr": 0.025744902532290913
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.695067264573991,
"acc_stderr": 0.030898610882477515,
"acc_norm": 0.695067264573991,
"acc_norm_stderr": 0.030898610882477515
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7786259541984732,
"acc_stderr": 0.03641297081313728,
"acc_norm": 0.7786259541984732,
"acc_norm_stderr": 0.03641297081313728
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.7603305785123967,
"acc_stderr": 0.03896878985070416,
"acc_norm": 0.7603305785123967,
"acc_norm_stderr": 0.03896878985070416
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7870370370370371,
"acc_stderr": 0.0395783547198098,
"acc_norm": 0.7870370370370371,
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},
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"acc_norm_stderr": 0.04494290866252091
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.7387755102040816,
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"acc_norm": 0.7387755102040816,
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},
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"acc": 0.8109452736318408,
"acc_stderr": 0.027686913588013003,
"acc_norm": 0.8109452736318408,
"acc_norm_stderr": 0.027686913588013003
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.85,
"acc_stderr": 0.0358870281282637,
"acc_norm": 0.85,
"acc_norm_stderr": 0.0358870281282637
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5662650602409639,
"acc_stderr": 0.03858158940685517,
"acc_norm": 0.5662650602409639,
"acc_norm_stderr": 0.03858158940685517
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8304093567251462,
"acc_stderr": 0.02878210810540171,
"acc_norm": 0.8304093567251462,
"acc_norm_stderr": 0.02878210810540171
},
"harness|truthfulqa:mc|0": {
"mc1": 0.38922888616891066,
"mc1_stderr": 0.01706855268069033,
"mc2": 0.5648879973341684,
"mc2_stderr": 0.01540236564556069
},
"harness|winogrande|5": {
"acc": 0.7797947908445146,
"acc_stderr": 0.011646276755089693
},
"harness|gsm8k|5": {
"acc": 0.6194086429112965,
"acc_stderr": 0.013373971277729818
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Contact
[More Information Needed] |
MicPie/unpredictable_cluster20 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: UnpredicTable-cluster20
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-generation
- table-question-answering
- text-generation
- text-classification
- tabular-classification
task_ids:
- multiple-choice-qa
- extractive-qa
- open-domain-qa
- closed-domain-qa
- closed-book-qa
- open-book-qa
- language-modeling
- multi-class-classification
- natural-language-inference
- topic-classification
- multi-label-classification
- tabular-multi-class-classification
- tabular-multi-label-classification
---
# Dataset Card for "UnpredicTable-cluster20" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** https://ethanperez.net/unpredictable
- **Repository:** https://github.com/JunShern/few-shot-adaptation
- **Paper:** Few-shot Adaptation Works with UnpredicTable Data
- **Point of Contact:** junshern@nyu.edu, perez@nyu.edu
### Dataset Summary
The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
There are several dataset versions available:
* [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full): Starting from the initial WTC corpus of 50M tables, we apply our tables-to-tasks procedure to produce our resulting dataset, [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full), which comprises 413,299 tasks from 23,744 unique websites.
* [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique): This is the same as [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full) but filtered to have a maximum of one task per website. [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique) contains exactly 23,744 tasks from 23,744 websites.
* [UnpredicTable-5k](https://huggingface.co/datasets/MicPie/unpredictable_5k): This dataset contains 5k random tables from the full dataset.
* UnpredicTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
* [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low)
* [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium)
* [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high)
* UnpredicTable data subsets based on the website of origin:
* [UnpredicTable-baseball-fantasysports-yahoo-com](https://huggingface.co/datasets/MicPie/unpredictable_baseball-fantasysports-yahoo-com)
* [UnpredicTable-bulbapedia-bulbagarden-net](https://huggingface.co/datasets/MicPie/unpredictable_bulbapedia-bulbagarden-net)
* [UnpredicTable-cappex-com](https://huggingface.co/datasets/MicPie/unpredictable_cappex-com)
* [UnpredicTable-cram-com](https://huggingface.co/datasets/MicPie/unpredictable_cram-com)
* [UnpredicTable-dividend-com](https://huggingface.co/datasets/MicPie/unpredictable_dividend-com)
* [UnpredicTable-dummies-com](https://huggingface.co/datasets/MicPie/unpredictable_dummies-com)
* [UnpredicTable-en-wikipedia-org](https://huggingface.co/datasets/MicPie/unpredictable_en-wikipedia-org)
* [UnpredicTable-ensembl-org](https://huggingface.co/datasets/MicPie/unpredictable_ensembl-org)
* [UnpredicTable-gamefaqs-com](https://huggingface.co/datasets/MicPie/unpredictable_gamefaqs-com)
* [UnpredicTable-mgoblog-com](https://huggingface.co/datasets/MicPie/unpredictable_mgoblog-com)
* [UnpredicTable-mmo-champion-com](https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com)
* [UnpredicTable-msdn-microsoft-com](https://huggingface.co/datasets/MicPie/unpredictable_msdn-microsoft-com)
* [UnpredicTable-phonearena-com](https://huggingface.co/datasets/MicPie/unpredictable_phonearena-com)
* [UnpredicTable-sittercity-com](https://huggingface.co/datasets/MicPie/unpredictable_sittercity-com)
* [UnpredicTable-sporcle-com](https://huggingface.co/datasets/MicPie/unpredictable_sporcle-com)
* [UnpredicTable-studystack-com](https://huggingface.co/datasets/MicPie/unpredictable_studystack-com)
* [UnpredicTable-support-google-com](https://huggingface.co/datasets/MicPie/unpredictable_support-google-com)
* [UnpredicTable-w3-org](https://huggingface.co/datasets/MicPie/unpredictable_w3-org)
* [UnpredicTable-wiki-openmoko-org](https://huggingface.co/datasets/MicPie/unpredictable_wiki-openmoko-org)
* [UnpredicTable-wkdu-org](https://huggingface.co/datasets/MicPie/unpredictable_wkdu-org)
* UnpredicTable data subsets based on clustering (for the clustering details please see our publication):
* [UnpredicTable-cluster00](https://huggingface.co/datasets/MicPie/unpredictable_cluster00)
* [UnpredicTable-cluster01](https://huggingface.co/datasets/MicPie/unpredictable_cluster01)
* [UnpredicTable-cluster02](https://huggingface.co/datasets/MicPie/unpredictable_cluster02)
* [UnpredicTable-cluster03](https://huggingface.co/datasets/MicPie/unpredictable_cluster03)
* [UnpredicTable-cluster04](https://huggingface.co/datasets/MicPie/unpredictable_cluster04)
* [UnpredicTable-cluster05](https://huggingface.co/datasets/MicPie/unpredictable_cluster05)
* [UnpredicTable-cluster06](https://huggingface.co/datasets/MicPie/unpredictable_cluster06)
* [UnpredicTable-cluster07](https://huggingface.co/datasets/MicPie/unpredictable_cluster07)
* [UnpredicTable-cluster08](https://huggingface.co/datasets/MicPie/unpredictable_cluster08)
* [UnpredicTable-cluster09](https://huggingface.co/datasets/MicPie/unpredictable_cluster09)
* [UnpredicTable-cluster10](https://huggingface.co/datasets/MicPie/unpredictable_cluster10)
* [UnpredicTable-cluster11](https://huggingface.co/datasets/MicPie/unpredictable_cluster11)
* [UnpredicTable-cluster12](https://huggingface.co/datasets/MicPie/unpredictable_cluster12)
* [UnpredicTable-cluster13](https://huggingface.co/datasets/MicPie/unpredictable_cluster13)
* [UnpredicTable-cluster14](https://huggingface.co/datasets/MicPie/unpredictable_cluster14)
* [UnpredicTable-cluster15](https://huggingface.co/datasets/MicPie/unpredictable_cluster15)
* [UnpredicTable-cluster16](https://huggingface.co/datasets/MicPie/unpredictable_cluster16)
* [UnpredicTable-cluster17](https://huggingface.co/datasets/MicPie/unpredictable_cluster17)
* [UnpredicTable-cluster18](https://huggingface.co/datasets/MicPie/unpredictable_cluster18)
* [UnpredicTable-cluster19](https://huggingface.co/datasets/MicPie/unpredictable_cluster19)
* [UnpredicTable-cluster20](https://huggingface.co/datasets/MicPie/unpredictable_cluster20)
* [UnpredicTable-cluster21](https://huggingface.co/datasets/MicPie/unpredictable_cluster21)
* [UnpredicTable-cluster22](https://huggingface.co/datasets/MicPie/unpredictable_cluster22)
* [UnpredicTable-cluster23](https://huggingface.co/datasets/MicPie/unpredictable_cluster23)
* [UnpredicTable-cluster24](https://huggingface.co/datasets/MicPie/unpredictable_cluster24)
* [UnpredicTable-cluster25](https://huggingface.co/datasets/MicPie/unpredictable_cluster25)
* [UnpredicTable-cluster26](https://huggingface.co/datasets/MicPie/unpredictable_cluster26)
* [UnpredicTable-cluster27](https://huggingface.co/datasets/MicPie/unpredictable_cluster27)
* [UnpredicTable-cluster28](https://huggingface.co/datasets/MicPie/unpredictable_cluster28)
* [UnpredicTable-cluster29](https://huggingface.co/datasets/MicPie/unpredictable_cluster29)
* [UnpredicTable-cluster-noise](https://huggingface.co/datasets/MicPie/unpredictable_cluster-noise)
### Supported Tasks and Leaderboards
Since the tables come from the web, the distribution of tasks and topics is very broad. The shape of our dataset is very wide, i.e., we have 1000's of tasks, while each task has only a few examples, compared to most current NLP datasets which are very deep, i.e., 10s of tasks with many examples. This implies that our dataset covers a broad range of potential tasks, e.g., multiple-choice, question-answering, table-question-answering, text-classification, etc.
The intended use of this dataset is to improve few-shot performance by fine-tuning/pre-training on our dataset.
### Languages
English
## Dataset Structure
### Data Instances
Each task is represented as a jsonline file and consists of several few-shot examples. Each example is a dictionary containing a field 'task', which identifies the task, followed by an 'input', 'options', and 'output' field. The 'input' field contains several column elements of the same row in the table, while the 'output' field is a target which represents an individual column of the same row. Each task contains several such examples which can be concatenated as a few-shot task. In the case of multiple choice classification, the 'options' field contains the possible classes that a model needs to choose from.
There are also additional meta-data fields such as 'pageTitle', 'title', 'outputColName', 'url', 'wdcFile'.
### Data Fields
'task': task identifier
'input': column elements of a specific row in the table.
'options': for multiple choice classification, it provides the options to choose from.
'output': target column element of the same row as input.
'pageTitle': the title of the page containing the table.
'outputColName': output column name
'url': url to the website containing the table
'wdcFile': WDC Web Table Corpus file
### Data Splits
The UnpredicTable datasets do not come with additional data splits.
## Dataset Creation
### Curation Rationale
Few-shot training on multi-task datasets has been demonstrated to improve language models' few-shot learning (FSL) performance on new tasks, but it is unclear which training tasks lead to effective downstream task adaptation. Few-shot learning datasets are typically produced with expensive human curation, limiting the scale and diversity of the training tasks available to study. As an alternative source of few-shot data, we automatically extract 413,299 tasks from diverse internet tables. We provide this as a research resource to investigate the relationship between training data and few-shot learning.
### Source Data
#### Initial Data Collection and Normalization
We use internet tables from the English-language Relational Subset of the WDC Web Table Corpus 2015 (WTC). The WTC dataset tables were extracted from the July 2015 Common Crawl web corpus (http://webdatacommons.org/webtables/2015/EnglishStatistics.html). The dataset contains 50,820,165 tables from 323,160 web domains. We then convert the tables into few-shot learning tasks. Please see our publication for more details on the data collection and conversion pipeline.
#### Who are the source language producers?
The dataset is extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/).
### Annotations
#### Annotation process
Manual annotation was only carried out for the [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low),
[UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium), and [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) data subsets to rate task quality. Detailed instructions of the annotation instructions can be found in our publication.
#### Who are the annotators?
Annotations were carried out by a lab assistant.
### Personal and Sensitive Information
The data was extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/), which in turn extracted tables from the [Common Crawl](https://commoncrawl.org/). We did not filter the data in any way. Thus any user identities or otherwise sensitive information (e.g., data that reveals racial or ethnic origins, sexual orientations, religious beliefs, political opinions or union memberships, or locations; financial or health data; biometric or genetic data; forms of government identification, such as social security numbers; criminal history, etc.) might be contained in our dataset.
## Considerations for Using the Data
### Social Impact of Dataset
This dataset is intended for use as a research resource to investigate the relationship between training data and few-shot learning. As such, it contains high- and low-quality data, as well as diverse content that may be untruthful or inappropriate. Without careful investigation, it should not be used for training models that will be deployed for use in decision-critical or user-facing situations.
### Discussion of Biases
Since our dataset contains tables that are scraped from the web, it will also contain many toxic, racist, sexist, and otherwise harmful biases and texts. We have not run any analysis on the biases prevalent in our datasets. Neither have we explicitly filtered the content. This implies that a model trained on our dataset may potentially reflect harmful biases and toxic text that exist in our dataset.
### Other Known Limitations
No additional known limitations.
## Additional Information
### Dataset Curators
Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez
### Licensing Information
Apache 2.0
### Citation Information
```
@misc{chan2022few,
author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
title = {Few-shot Adaptation Works with UnpredicTable Data},
publisher={arXiv},
year = {2022},
url = {https://arxiv.org/abs/2208.01009}
}
```
|
juwiragiye/ikirundi | ---
license: mit
tags:
- kirundi, rundi, burundi
description: >-
This repository contains natural language processing (NLP) resources for
Kirundi, a Bantu language spoken primarily in Burundi.
output-file: index.html
title: Ikirundi
pretty_name: ikirundi
language:
- kir
- eng
- fre
size_categories:
- n<1K
---
# Kirundi/Ikirundi/Rundi
This repository contains natural language processing (NLP) dataset. for Kirundi, a Bantu language spoken primarily in Burundi.
It can be used to do machine translation from Kirundi to English and vice versa.
|
hbin0701/MATH_PRM | ---
license: apache-2.0
---
|
open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied | ---
pretty_name: Evaluation run of hiyouga/Baichuan2-7B-Chat-LLaMAfied
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [hiyouga/Baichuan2-7B-Chat-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Chat-LLaMAfied)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the agregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-10-27T01:55:17.464897](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied/blob/main/results_2023-10-27T01-55-17.464897.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.2062709731543624,\n\
\ \"em_stderr\": 0.004143762363131985,\n \"f1\": 0.26938129194630883,\n\
\ \"f1_stderr\": 0.004172682699820514,\n \"acc\": 0.40028530858265426,\n\
\ \"acc_stderr\": 0.010786124750718863\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.2062709731543624,\n \"em_stderr\": 0.004143762363131985,\n\
\ \"f1\": 0.26938129194630883,\n \"f1_stderr\": 0.004172682699820514\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.10917361637604246,\n \
\ \"acc_stderr\": 0.008590089300511151\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.691397000789266,\n \"acc_stderr\": 0.012982160200926577\n\
\ }\n}\n```"
repo_url: https://huggingface.co/hiyouga/Baichuan2-7B-Chat-LLaMAfied
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|arc:challenge|25_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_10_27T01_55_17.464897
path:
- '**/details_harness|drop|3_2023-10-27T01-55-17.464897.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-10-27T01-55-17.464897.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_10_27T01_55_17.464897
path:
- '**/details_harness|gsm8k|5_2023-10-27T01-55-17.464897.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-10-27T01-55-17.464897.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hellaswag|10_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-31-02.024016.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-management|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- '**/details_harness|truthfulqa:mc|0_2023-10-10T07-31-02.024016.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-10-10T07-31-02.024016.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_10_27T01_55_17.464897
path:
- '**/details_harness|winogrande|5_2023-10-27T01-55-17.464897.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-10-27T01-55-17.464897.parquet'
- config_name: results
data_files:
- split: 2023_10_10T07_31_02.024016
path:
- results_2023-10-10T07-31-02.024016.parquet
- split: 2023_10_27T01_55_17.464897
path:
- results_2023-10-27T01-55-17.464897.parquet
- split: latest
path:
- results_2023-10-27T01-55-17.464897.parquet
---
# Dataset Card for Evaluation run of hiyouga/Baichuan2-7B-Chat-LLaMAfied
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/hiyouga/Baichuan2-7B-Chat-LLaMAfied
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [hiyouga/Baichuan2-7B-Chat-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Chat-LLaMAfied) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-10-27T01:55:17.464897](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied/blob/main/results_2023-10-27T01-55-17.464897.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"em": 0.2062709731543624,
"em_stderr": 0.004143762363131985,
"f1": 0.26938129194630883,
"f1_stderr": 0.004172682699820514,
"acc": 0.40028530858265426,
"acc_stderr": 0.010786124750718863
},
"harness|drop|3": {
"em": 0.2062709731543624,
"em_stderr": 0.004143762363131985,
"f1": 0.26938129194630883,
"f1_stderr": 0.004172682699820514
},
"harness|gsm8k|5": {
"acc": 0.10917361637604246,
"acc_stderr": 0.008590089300511151
},
"harness|winogrande|5": {
"acc": 0.691397000789266,
"acc_stderr": 0.012982160200926577
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
open-llm-leaderboard/details_rinna__youri-7b | ---
pretty_name: Evaluation run of rinna/youri-7b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [rinna/youri-7b](https://huggingface.co/rinna/youri-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 1 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_rinna__youri-7b\"\
,\n\t\"harness_gsm8k_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese\
\ are the [latest results from run 2023-12-02T15:23:30.420258](https://huggingface.co/datasets/open-llm-leaderboard/details_rinna__youri-7b/blob/main/results_2023-12-02T15-23-30.420258.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.08642911296436695,\n\
\ \"acc_stderr\": 0.007740044337103775\n },\n \"harness|gsm8k|5\":\
\ {\n \"acc\": 0.08642911296436695,\n \"acc_stderr\": 0.007740044337103775\n\
\ }\n}\n```"
repo_url: https://huggingface.co/rinna/youri-7b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_02T15_23_30.420258
path:
- '**/details_harness|gsm8k|5_2023-12-02T15-23-30.420258.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-02T15-23-30.420258.parquet'
- config_name: results
data_files:
- split: 2023_12_02T15_23_30.420258
path:
- results_2023-12-02T15-23-30.420258.parquet
- split: latest
path:
- results_2023-12-02T15-23-30.420258.parquet
---
# Dataset Card for Evaluation run of rinna/youri-7b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/rinna/youri-7b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [rinna/youri-7b](https://huggingface.co/rinna/youri-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 1 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_rinna__youri-7b",
"harness_gsm8k_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-02T15:23:30.420258](https://huggingface.co/datasets/open-llm-leaderboard/details_rinna__youri-7b/blob/main/results_2023-12-02T15-23-30.420258.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.08642911296436695,
"acc_stderr": 0.007740044337103775
},
"harness|gsm8k|5": {
"acc": 0.08642911296436695,
"acc_stderr": 0.007740044337103775
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
ashokpoudel/SahityaDataset | ---
license: apache-2.0
---
|
jxu124/refcoco-benchmark | ---
configs:
- config_name: default
data_files:
- split: refcoco_unc_val
path: data/refcoco_unc_val-*
- split: refcoco_unc_testA
path: data/refcoco_unc_testA-*
- split: refcoco_unc_testB
path: data/refcoco_unc_testB-*
- split: refcoco_google_val
path: data/refcoco_google_val-*
- split: refcoco_google_test
path: data/refcoco_google_test-*
- split: refcocog_umd_val
path: data/refcocog_umd_val-*
- split: refcocog_umd_test
path: data/refcocog_umd_test-*
- split: refcocog_google_val
path: data/refcocog_google_val-*
- split: refcoco_plus_unc_val
path: data/refcoco_plus_unc_val-*
- split: refcoco_plus_unc_testA
path: data/refcoco_plus_unc_testA-*
- split: refcoco_plus_unc_testB
path: data/refcoco_plus_unc_testB-*
dataset_info:
features:
- name: ref_list
list:
- name: ann_info
struct:
- name: area
dtype: float64
- name: bbox
sequence: float64
- name: category_id
dtype: int64
- name: id
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- name: image_id
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- name: iscrowd
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- name: segmentation
sequence:
sequence: float64
- name: ref_info
struct:
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- name: category_id
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- name: file_name
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- name: image_id
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sequence: int64
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- name: image_info
struct:
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- name: id
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- name: license
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- name: width
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- name: image
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splits:
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num_bytes: 264438667.5
num_examples: 1500
- name: refcoco_unc_testA
num_bytes: 129028843.0
num_examples: 750
- name: refcoco_unc_testB
num_bytes: 133102482.0
num_examples: 750
- name: refcoco_google_val
num_bytes: 814855470.214
num_examples: 4559
- name: refcoco_google_test
num_bytes: 800980159.978
num_examples: 4527
- name: refcocog_umd_val
num_bytes: 220021282.2
num_examples: 1300
- name: refcocog_umd_test
num_bytes: 442746080.0
num_examples: 2600
- name: refcocog_google_val
num_bytes: 800691386.6
num_examples: 4650
- name: refcoco_plus_unc_val
num_bytes: 264451297.5
num_examples: 1500
- name: refcoco_plus_unc_testA
num_bytes: 129035632.0
num_examples: 750
- name: refcoco_plus_unc_testB
num_bytes: 133095545.0
num_examples: 750
download_size: 4072689321
dataset_size: 4132446845.9919996
---
# Dataset Card for "refcoco-benchmark"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
dgo7/embeddings_dataset | ---
license: mit
---
|
liuyanchen1015/MULTI_VALUE_cola_it_is_referential | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: int64
- name: idx
dtype: int64
- name: value_score
dtype: int64
splits:
- name: dev
num_bytes: 373
num_examples: 3
- name: test
num_bytes: 626
num_examples: 5
- name: train
num_bytes: 513
num_examples: 5
download_size: 7185
dataset_size: 1512
---
# Dataset Card for "MULTI_VALUE_cola_it_is_referential"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
TaherMAfini/taxi_dataset | ---
dataset_info:
features:
- name: key
dtype: string
- name: pickup_datetime
dtype: string
- name: pickup_longitude
dtype: float64
- name: pickup_latitude
dtype: float64
- name: dropoff_longitude
dtype: float64
- name: dropoff_latitude
dtype: float64
- name: passenger_count
dtype: int64
- name: fare_amount
dtype: float64
splits:
- name: test
num_bytes: 977751
num_examples: 9914
download_size: 521219
dataset_size: 977751
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset contains ~13.8 million instances of taxi rides.
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
### Dataset Sources [optional]
[New York City Taxi Fare Prediction](https://www.kaggle.com/competitions/new-york-city-taxi-fare-prediction/data)
|
Nadav/pixel_glue_sst2 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
- name: train
num_bytes: 404363205.375
num_examples: 67349
- name: validation
num_bytes: 7130426.0
num_examples: 872
download_size: 348047558
dataset_size: 411493631.375
---
# Dataset Card for "pixel_glue_sst2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
lorisrossi/github-issues | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: HuggingFace Datasets GitHub Issues
size_categories:
- 1K<n<10K
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids:
- multi-label-classification
dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: user
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
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dtype: string
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- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
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dtype: string
- name: locked
dtype: bool
- name: assignee
struct:
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dtype: string
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dtype: int64
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dtype: string
- name: avatar_url
dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: bool
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dtype: string
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dtype: int64
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dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
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dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
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dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
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dtype: string
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- name: milestone
struct:
- name: url
dtype: string
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dtype: string
- name: labels_url
dtype: string
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dtype: string
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dtype: string
- name: organizations_url
dtype: string
- name: repos_url
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dtype: string
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- name: open_issues
dtype: int64
- name: closed_issues
dtype: int64
- name: state
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- name: created_at
dtype: timestamp[s]
- name: updated_at
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dtype: 'null'
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- name: comments
sequence: string
- name: created_at
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dtype: timestamp[s]
- name: author_association
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- name: active_lock_reason
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- name: body
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- name: reactions
struct:
- name: url
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- name: total_count
dtype: int64
- name: '+1'
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- name: laugh
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dtype: int64
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dtype: string
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dtype: 'null'
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dtype: string
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dtype: bool
- name: pull_request
struct:
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dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: merged_at
dtype: timestamp[s]
- name: is_pull_request
dtype: bool
splits:
- name: train
num_bytes: 26192134
num_examples: 3817
download_size: 7664986
dataset_size: 26192134
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
## Dataset Description
This dataset is just for testing. It contains GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English.
|
Sleoruiz/discursos-pre-clasificados | ---
dataset_info:
features:
- name: text
dtype: string
- name: name
dtype: string
- name: comision
dtype: string
- name: gaceta_numero
dtype: string
- name: fecha_gaceta
dtype: string
- name: labels
sequence: string
- name: scores
sequence: float64
- name: idx
dtype: int64
splits:
- name: train
num_bytes: 250597907.43449536
num_examples: 119399
- name: test
num_bytes: 31325000.782752313
num_examples: 14925
- name: valid
num_bytes: 31325000.782752313
num_examples: 14925
download_size: 144277964
dataset_size: 313247909.0
---
# Dataset Card for "discursos-pre-clasificados"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Praanavvv/Speech_Files | ---
license: cc-by-4.0
---
|
Mihir1108/LLM4 | ---
dataset_info:
features:
- name: formate_data
dtype: string
splits:
- name: train
num_bytes: 1812884
num_examples: 483
download_size: 513538
dataset_size: 1812884
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "LLM4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
BangumiBase/azurlaneanime | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Azur Lane (anime)
This is the image base of bangumi Azur Lane (Anime), we detected 107 characters, 5638 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:----------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|
| 0 | 51 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 138 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 27 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 453 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 364 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 43 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 22 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 301 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 159 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 92 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 41 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 36 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 41 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 43 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 29 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 14 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 55 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 22 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 35 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 186 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 14 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 14 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 26 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 14 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 14 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 53 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 34 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 46 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 36 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 10 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 32 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 94 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 20 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 13 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 543 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 98 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 16 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 29 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 8 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 110 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 19 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 8 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 13 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 80 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
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ChaimaMess/Amazonquestions | ---
license: apache-2.0
---
|