datasetId
stringlengths 5
117
| author
stringlengths 2
42
| last_modified
unknown | downloads
int64 0
15M
| likes
int64 0
4.98k
| tags
sequencelengths 1
7.91k
| task_categories
sequencelengths 0
40
⌀ | createdAt
unknown | card
stringlengths 15
977k
|
|---|---|---|---|---|---|---|---|---|
joseluhf11/final_abstracts_codiesp | joseluhf11 | "2024-03-07T11:04:56Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:04:54Z" | ---
dataset_info:
features:
- name: case
dtype: string
- name: main_diagnosis
struct:
- name: code
dtype: string
- name: name
dtype: string
- name: secondaries_diagnsosis
list:
- name: code
dtype: string
- name: name
dtype: string
splits:
- name: train
num_bytes: 2360093
num_examples: 797
download_size: 1225904
dataset_size: 2360093
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
herbertbodner/hackathon6 | herbertbodner | "2024-03-07T11:40:01Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:11:32Z" | ---
dataset_info:
features:
- name: repo_id
dtype: string
- name: file_path
dtype: string
- name: content
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 7731
num_examples: 1
download_size: 9828
dataset_size: 1
---
# Dataset Card for "hackathon6"
|
mxronga/radioibadan | mxronga | "2024-03-07T11:18:48Z" | 0 | 0 | [
"language:yo",
"license:apache-2.0",
"pretrain",
"croissant",
"region:us"
] | null | "2024-03-07T11:14:09Z" | ---
license: apache-2.0
language:
- yo
tags:
- pretrain
--- |
vvuri/openassistant-guanaco-ru | vvuri | "2024-03-07T11:15:09Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:15:07Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1957697
num_examples: 709
- name: test
num_bytes: 105639
num_examples: 39
download_size: 999023
dataset_size: 2063336
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
Protao/openstax_paragraphs_zh | Protao | "2024-03-07T11:17:36Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:17:30Z" | ---
dataset_info:
features:
- name: language
dtype: string
- name: book_title
dtype: string
- name: chapters
list:
- name: abstract
dtype: string
- name: chapters
list:
- name: abstract
dtype: string
- name: chapters
list:
- name: abstract
dtype: string
- name: chapters
dtype: 'null'
- name: module
dtype: string
- name: sections
list:
- name: paragraph
dtype: string
- name: title
dtype: string
- name: title
dtype: string
- name: module
dtype: string
- name: sections
list:
- name: paragraph
dtype: string
- name: title
dtype: string
- name: title
dtype: string
- name: module
dtype: string
- name: sections
list:
- name: paragraph
dtype: string
- name: title
dtype: string
- name: title
dtype: string
splits:
- name: train
num_bytes: 8871711
num_examples: 60
download_size: 4997294
dataset_size: 8871711
---
# Dataset Card for "openstax_paragraphs_zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Protao/openstax_prompts_zh | Protao | "2024-03-07T11:33:53Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:33:44Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: unit
dtype: string
- name: book title
dtype: string
- name: audience
dtype: string
splits:
- name: train
num_bytes: 129792168
num_examples: 97518
download_size: 25951422
dataset_size: 129792168
---
# Dataset Card for "openstax_prompts_zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ArtifactClfDurham/OrientalMuseum-3Dwhite-1frame | ArtifactClfDurham | "2024-03-07T11:35:22Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:34:05Z" | ---
dataset_info:
features:
- name: obj_num
dtype: string
- name: file
dtype: string
- name: image
dtype: image
- name: root
dtype: string
- name: description
dtype: string
- name: object_name
dtype: string
- name: other_name
dtype: string
- name: material
dtype: string
- name: production.period
dtype: string
- name: production.place
dtype: string
- name: new_root
dtype: string
- name: original
dtype: bool
splits:
- name: train
num_bytes: 1626545463.87
num_examples: 74610
download_size: 2000591827
dataset_size: 1626545463.87
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
jingzi/CIMD | jingzi | "2024-03-13T15:28:08Z" | 0 | 1 | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:apache-2.0",
"region:us"
] | [
"question-answering",
"text-generation"
] | "2024-03-07T11:36:41Z" | ---
license: apache-2.0
task_categories:
- question-answering
- text-generation
language:
- zh
size_categories:
- 100K<n<1M
---
## Chinese Instruction Multimodal Data (CIMD)
The dataset contains one million Chinese image-text pairs in total, including detailed image captioning and visual question answering.
### Generation Pipeline
* Image source
We randomly sample images from two opensource datasets [Wanjuan](https://github.com/opendatalab/WanJuan1.0) and [Wukong](https://wukong-dataset.github.io/wukong-dataset/)
* Detailed caption generation
We use [Gemini Pro Vision API](https://ai.google.dev/) to generate a detailed description for each image.
* Question-answer pairs generation
Based on the generated caption, we use Gemini api to generate a complex question for the corresbonding image. Then, the detailed answer is generated with existing information by Gemini api again.
For multi-round conversations, the next question is generated with the conversation history.
* Post-processing
To further improve the quaility of the generated instruction data, we discard the image-text pairs with multiple repetitions in the text.
We found some answers generated by Gemini may have hallucination to a certain degree, so we filter the unreasonable generated image-text pairs by asking Gemini again.
### Detailed information of the datasets
| Image Source | #Images | #Captions | #Single-turn QA Pairs | #Multi-turn QA pairs | #Total Image-text Pairs |
| --- | ---: | ---: | ---: | ---: | ---: |
[Wanjuan](https://github.com/opendatalab/WanJuan1.0) |212,326| 200,917| 539,371 |65,005| 805,293
[Wukong](https://wukong-dataset.github.io/wukong-dataset/)| 66,570 |106,368| 107,991 |0| 214,359
total| 278,896| 307,285| 647,362| 65,005| 1,019,652
All datasets can be downloaded [here](https://huggingface.co/datasets/jingzi/CIMD).
We also uploaded all the images as `images.zip`, because we have renamed the original image name during downloading for convenience.
### Samples
* single-turn conversation with detailed caption (image from wanjuan dataset)
```
{
"id": "4fdb831b09ab87f3dfa758cbb3693eb2dec41b7a5cb0eeb55a6eb5faae2c7fb1_2",
"image": "wanjuan/4fdb831b09ab87f3dfa758cbb3693eb2dec41b7a5cb0eeb55a6eb5faae2c7fb1.jpg",
"conversations": [
{
"from": "human",
"value": " 这些屋顶的坡度各不相同，为什么有些屋顶的坡度较大，而有些屋顶的坡度较小呢？\n<image>"
},
{
"from": "gpt",
"value": " 屋顶的坡度与当地的气候条件有关。坡度大的屋顶可以更快地排水，更适合于多雨地区。坡度小的屋顶更适合于少雨地区。"
}
],
"detailed_caption": " 这是一组中国传统民居的屋顶图片。屋顶由青瓦铺成，屋脊上有各种装饰。屋顶的坡度很大，有利于排水。屋顶上还有许多小老虎，用以辟邪。"
}
```
* multi-turn conversation without detailed caption (image from wanjuan dataset)
```
{
"id": "787add42091e8f7f2ec23ab48fcbdf2201859fd7dd9c6ba95ae373aa11a7f9c8_0",
"image": "wanjuan/787add42091e8f7f2ec23ab48fcbdf2201859fd7dd9c6ba95ae373aa11a7f9c8.jpg",
"conversations": [
{
"from": "human",
"value": " 这张图片是一套咖啡店的VI设计，包括了名片、信纸、封套、宣传册。请问这套设计体现了咖啡店的哪些特色？\n<image>"
},
{
"from": "gpt",
"value": " 这套咖啡店的VI设计体现了咖啡店的以下特色：\n\n1. 现代感：这套设计使用了现代感十足的几何图形和线条，给人以时尚、摩登的感觉。\n2. 简约性：这套设计并没有采用过多的装饰元素，而是以简约的风格为主，给人以干净、清爽的感觉。\n3. 自然感：这套设计使用了大量的留白，并且在名片和信纸上都运用了大面积的绿色，给人以自然、清新之感。\n4. 趣味性：这套设计在一些细节之处加入了一些趣味性的元素，比如在名片的背面加入了一个小插图，在信纸的抬头处加入了一个咖啡杯的图案，这些小细节为这套设计增添了些许趣味。"
},
{
"from": "human",
"value": " 好的，我根据你的描述，给你设计了一个新的问题：\n\n这套咖啡店的VI设计使用了哪些颜色？这些颜色分别代表了什么？"
},
{
"from": "gpt", "value": " 这套咖啡店的VI设计使用了黄色、绿色和黑色。黄色代表着阳光、活力和热情；绿色代表着自然、清新和健康；黑色代表着沉稳、高贵和典雅。这三种颜色搭配在一起，给人以一种非常舒适的感觉，同时也很好地体现了咖啡店的特色。"
}
],
"detailed_caption": ""
}
```
* single-turn conversation with detailed caption (image from wukong dataset)
```
{
"id": "b97b0ec2d43f84d2c424689db9592d26_1",
"image": "wukong/b97b0ec2d43f84d2c424689db9592d26.jpg",
"conversations": [
{
"from": "human",
"value": " 为什么熊猫头上会有一个蝴蝶结？\n<image>"
},
{
"from": "gpt",
"value": " 图片是一张熊猫头的表情包，它头上有一个粉色的蝴蝶结。在现实生活中，熊猫头上一般不会有蝴蝶结。但在图片中，熊猫头上有一个蝴蝶结，这可能是为了装饰，或者是为了搞笑。"
}
],
"detailed_caption": " 这张图片是一张熊猫头的表情包，它头上有一个粉色的蝴蝶结，表情看起来很滑稽。图片的文字是“谢谢你啊，这么忙还来亲自骂我”，语气中带着一丝无奈和自嘲。"
}
```
|
Harsha9044/Malayalam_dataset | Harsha9044 | "2024-03-08T06:47:28Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T11:43:40Z" | ---
dataset_info:
features:
- name: File Name
dtype: string
- name: Text
dtype: string
- name: Audio
dtype: audio
- name: Sentiment
dtype: string
splits:
- name: train
num_bytes: 91397254.0
num_examples: 70
download_size: 91083349
dataset_size: 91397254.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Leo12344321/synthetic_realfakeimage | Leo12344321 | "2024-03-07T11:50:27Z" | 0 | 1 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T11:44:39Z" | ---
license: mit
---
|
JudeChaer/adding | JudeChaer | "2024-03-07T13:46:03Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T11:49:48Z" | ---
license: mit
---
|
JJFrancisco/ProbaEstructura | JJFrancisco | "2024-03-07T12:25:45Z" | 0 | 0 | [
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"language:gl",
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T11:57:17Z" | ---
annotations_creators:
- expert-generated
language:
- gl
license:
- mit
multilinguality:
- monolingual
dataset_info:
- config_name: config
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
- name: id
dtype: string
splits:
- name: train.100
num_bytes: 6619683041
num_examples: 28539
- name: train.360
num_bytes: 23898214592
num_examples: 104014
- name: validation
num_bytes: 359572231
num_examples: 2703
- name: test
num_bytes: 367705423
num_examples: 2620
download_size: 30121377654
dataset_size: 31245175287
- config_name: other
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
- name: id
dtype: string
splits:
- name: train.500
num_bytes: 31810256902
num_examples: 148688
- name: validation
num_bytes: 337283304
num_examples: 2864
- name: test
num_bytes: 352396474
num_examples: 2939
download_size: 31236565377
dataset_size: 32499936680
- config_name: all
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
- name: id
dtype: string
splits:
- name: train.clean.100
num_bytes: 6627791685
num_examples: 28539
- name: train.clean.360
num_bytes: 23927767570
num_examples: 104014
- name: train.other.500
num_bytes: 31852502880
num_examples: 148688
- name: validation.clean
num_bytes: 359505691
num_examples: 2703
- name: validation.other
num_bytes: 337213112
num_examples: 2864
- name: test.clean
num_bytes: 368449831
num_examples: 2620
- name: test.other
num_bytes: 353231518
num_examples: 2939
download_size: 61357943031
dataset_size: 63826462287
---
# Dataset Card for [Dataset Name]
## 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:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### 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
Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset. |
BouaCoul/q_fa | BouaCoul | "2024-03-07T11:59:13Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2024-03-07T11:59:13Z" | ---
license: mit
---
|
limjuhan/Juhan_dentist | limjuhan | "2024-03-07T13:13:23Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:03:56Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 66954
num_examples: 176
download_size: 38904
dataset_size: 66954
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
dhiya96/zephyr_text_summarisation_500 | dhiya96 | "2024-03-07T12:06:13Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:05:48Z" | ---
dataset_info:
features:
- name: content
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 1177833.15
num_examples: 405
- name: test
num_bytes: 276281.85
num_examples: 95
download_size: 908924
dataset_size: 1454115.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
harshcode21/JS_Master | harshcode21 | "2024-03-07T12:07:41Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T12:07:17Z" | ---
license: mit
---
|
saridormi/lca-cmg-paraphrase | saridormi | "2024-03-07T12:33:09Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:19:38Z" | ---
configs:
- config_name: gpt_4_0125_preview
data_files:
- split: test
path: predictions/gpt_4_0125_preview/*.jsonl
- config_name: gpt_3.5_turbo_16k_0613
data_files:
- split: test
path: predictions/gpt_3.5_turbo_16k_0613/*.jsonl
---
# Paraphrased commit messages
Results of running models on 🤗 [CMG dataset from Long Code Arena](https://huggingface.co/datasets/JetBrains-Research/lca-commit-message-generation) with a simple paraphrase prompt. |
pvduy/ultrafeedback-trans-jp-cleaned-v1 | pvduy | "2024-03-07T12:28:22Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:28:13Z" | ---
dataset_info:
features:
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 246493971
num_examples: 56263
- name: test
num_bytes: 5557339
num_examples: 1000
download_size: 122204740
dataset_size: 252051310
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
tilemachos/health_summarizetldr | tilemachos | "2024-03-07T12:29:41Z" | 0 | 0 | [
"license:unknown",
"croissant",
"region:us"
] | null | "2024-03-07T12:28:25Z" | ---
license: unknown
---
|
Mohamad-Jaallouk/ConstScene2-test-dataset | Mohamad-Jaallouk | "2024-03-07T12:28:32Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:28:30Z" | ---
dataset_info:
features:
- name: pixel_values
dtype: image
- name: label
dtype: image
splits:
- name: test
num_bytes: 12103649.0
num_examples: 101
download_size: 11691758
dataset_size: 12103649.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
pesc101/spyder-ide-lbl-only-code-chunks | pesc101 | "2024-03-07T16:06:52Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T12:37:26Z" | ---
dataset_info:
features:
- name: meta_data
struct:
- name: contains_class
dtype: bool
- name: contains_function
dtype: bool
- name: end_line
dtype: int64
- name: file_imports
sequence: string
- name: file_name
dtype: string
- name: module
dtype: string
- name: start_line
dtype: int64
- name: code
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 28961152
num_examples: 8095
- name: test
num_bytes: 66006
num_examples: 23
download_size: 8144155
dataset_size: 29027158
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
yhao-wang/rear-eval | yhao-wang | "2024-03-07T13:40:26Z" | 0 | 0 | [
"task_categories:question-answering",
"language:en",
"license:mit",
"croissant",
"region:us"
] | [
"question-answering"
] | "2024-03-07T12:46:40Z" | ---
license: mit
task_categories:
- question-answering
language:
- en
---
# Data
### Original source
All question-answer pairs were obtained from the [DPR](https://github.com/facebookresearch/DPR) repository.
### Data format
The expected data format is a list of entry examples, where each entry example is a dictionary containing
- `question`: question text
- `reference`: list of answer text for evaluation
- `ctxs`: a list of passages
Entry example:
```
{
'question': 'who got the first nobel prize in physics',
'answers': ['Wilhelm Conrad Röntgen'],
'ctxs': [
"Wilhelm Conrad Röntgen won first Nobel Prize in Physics.",
"Wilhelm Conrad Röntgen won it for discovery of X-rays",
"Albert Einstein was awarded the 1921 Nobel Prize in Physics",
"The Nobel Prize in Physics is a yearly award.",
"First law of thermodynamics was stated by William"
]
}
``` |
Marlatant/test | Marlatant | "2024-03-07T12:49:11Z" | 0 | 0 | [
"license:apache-2.0",
"croissant",
"region:us"
] | null | "2024-03-07T12:48:31Z" | ---
license: apache-2.0
---
|
ariji1/acn-finetuning | ariji1 | "2024-03-07T12:54:25Z" | 0 | 0 | [
"license:apache-2.0",
"croissant",
"region:us"
] | null | "2024-03-07T12:53:25Z" | ---
license: apache-2.0
---
|
alisson40889/friza | alisson40889 | "2024-03-07T13:14:19Z" | 0 | 0 | [
"license:openrail",
"croissant",
"region:us"
] | null | "2024-03-07T13:10:43Z" | ---
license: openrail
---
|
Lewisliuming/toysentiment | Lewisliuming | "2024-03-07T13:14:39Z" | 0 | 0 | [
"license:apache-2.0",
"croissant",
"region:us"
] | null | "2024-03-07T13:13:51Z" | ---
license: apache-2.0
---
|
2A2I-R/dibt_10k_prompts_ranked_arabic | 2A2I-R | "2024-03-07T13:36:02Z" | 0 | 3 | [
"croissant",
"region:us"
] | null | "2024-03-07T13:35:34Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: quality
list:
- name: status
dtype: string
- name: user_id
dtype: string
- name: value
dtype: string
- name: metadata
dtype: string
- name: avg_rating
dtype: float64
- name: num_responses
dtype: int64
- name: agreement_ratio
dtype: float64
- name: raw_responses
sequence: int64
- name: kind
dtype: string
splits:
- name: train
num_bytes: 10601581
num_examples: 10331
download_size: 4323538
dataset_size: 10601581
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Rightly/Classifier_unsplit_emails | Rightly | "2024-03-07T13:51:44Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T13:51:35Z" | ---
dataset_info:
features:
- name: template_name
dtype: string
- name: content
dtype: string
- name: policy_id
dtype: string
- name: policy_id_regex
dtype: string
- name: renewal_date
dtype: string
- name: renewal_date_regex
dtype: string
- name: start_date
dtype: string
- name: start_date_regex
dtype: string
- name: category
dtype: string
- name: category_regex
dtype: string
- name: date_generated
dtype: string
splits:
- name: train
num_bytes: 404126649
num_examples: 21000
download_size: 78797361
dataset_size: 404126649
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
lemeswmv/conradovoz | lemeswmv | "2024-03-07T14:08:06Z" | 0 | 0 | [
"license:openrail",
"croissant",
"region:us"
] | null | "2024-03-07T13:56:42Z" | ---
license: openrail
---
|
Vas123/130000 | Vas123 | "2024-03-07T14:08:02Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:07:59Z" | ---
dataset_info:
features:
- name: title
dtype: string
- name: body
dtype: string
splits:
- name: train
num_bytes: 777748
num_examples: 204
- name: validation
num_bytes: 96466
num_examples: 25
- name: test
num_bytes: 98375
num_examples: 26
download_size: 455864
dataset_size: 972589
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
loicmagne/dsamples100 | loicmagne | "2024-03-07T14:12:07Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:09:45Z" | ---
configs:
- config_name: "0"
data_files: "0.parquet"
- config_name: "1"
data_files: "1.parquet"
- config_name: "2"
data_files: "2.parquet"
- config_name: "3"
data_files: "3.parquet"
- config_name: "4"
data_files: "4.parquet"
- config_name: "5"
data_files: "5.parquet"
- config_name: "6"
data_files: "6.parquet"
- config_name: "7"
data_files: "7.parquet"
- config_name: "8"
data_files: "8.parquet"
- config_name: "9"
data_files: "9.parquet"
--- |
loicmagne/dsamples1k | loicmagne | "2024-03-07T14:19:36Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:14:49Z" | ---
configs:
- config_name: "0"
data_files: "0.parquet"
- config_name: "1"
data_files: "1.parquet"
- config_name: "2"
data_files: "2.parquet"
- config_name: "3"
data_files: "3.parquet"
- config_name: "4"
data_files: "4.parquet"
- config_name: "5"
data_files: "5.parquet"
- config_name: "6"
data_files: "6.parquet"
- config_name: "7"
data_files: "7.parquet"
- config_name: "8"
data_files: "8.parquet"
- config_name: "9"
data_files: "9.parquet"
--- |
luckeciano/hermes-features-ultrafeedback | luckeciano | "2024-03-07T14:23:16Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:15:14Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: "train.csv"
- split: valid
path: "eval.csv"
- split: test
path: "test.csv"
---
---
license: apache-2.0
--- |
aasarap/allfaq | aasarap | "2024-03-07T14:19:52Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:18:39Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 216215.3
num_examples: 721
- name: test
num_bytes: 92663.7
num_examples: 309
download_size: 115318
dataset_size: 308879.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
adilgupta/cfilt-iitb-en-hi-truncated | adilgupta | "2024-03-07T14:29:31Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:27:45Z" | ---
dataset_info:
features:
- name: translation
struct:
- name: en
dtype: string
- name: hi
dtype: string
splits:
- name: train
num_bytes: 446979428
num_examples: 1658990
download_size: 198644928
dataset_size: 446979428
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
mahdiyehebrahimi/utc | mahdiyehebrahimi | "2024-04-22T17:47:27Z" | 0 | 0 | [
"task_categories:text-classification",
"language:fa",
"region:us"
] | [
"text-classification"
] | "2024-03-07T14:36:41Z" | ---
task_categories:
- text-classification
language:
- fa
pretty_name: University_Ticket_Classification
--- |
PhilKey/llama2-openrewrite-docs-chat | PhilKey | "2024-03-07T16:07:51Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:39:23Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 91751
num_examples: 95
download_size: 26661
dataset_size: 91751
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Cognitive-Lab/Aya_Telgu | Cognitive-Lab | "2024-03-08T05:37:47Z" | 0 | 0 | [
"language:en",
"language:te",
"license:apache-2.0",
"arxiv:2402.06619",
"region:us"
] | null | "2024-03-07T14:39:47Z" | ---
dataset_info:
- config_name: complete_dataset
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 5553365182
num_examples: 4050096
download_size: 1827014858
dataset_size: 5553365182
- config_name: templated_indic_paraphrase
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 887070
num_examples: 1517
download_size: 304055
dataset_size: 887070
- config_name: templated_indic_sentiment
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 781847
num_examples: 1156
download_size: 318064
dataset_size: 781847
- config_name: templated_telugu_food
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1108509
num_examples: 441
download_size: 312377
dataset_size: 1108509
- config_name: templated_telugu_jokes
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 966698
num_examples: 929
download_size: 298196
dataset_size: 966698
- config_name: templated_telugu_news
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1150840295
num_examples: 467090
download_size: 423046750
dataset_size: 1150840295
- config_name: templated_telugu_poems
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 8244805
num_examples: 5115
download_size: 2713407
dataset_size: 8244805
- config_name: templated_telugu_riddles
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 339040
num_examples: 844
download_size: 79017
dataset_size: 339040
- config_name: templated_xlel_wd
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1105593
num_examples: 639
download_size: 403809
dataset_size: 1105593
- config_name: translated_adversarial_qa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 23828637
num_examples: 10000
download_size: 5853372
dataset_size: 23828637
- config_name: translated_cnn_dailymail
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 624416386
num_examples: 100000
download_size: 228934790
dataset_size: 624416386
- config_name: translated_dolly
features:
- name: task_type
dtype: string
- name: split
dtype: string
- name: script
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 32136437
num_examples: 14808
download_size: 12268225
dataset_size: 32136437
- config_name: translated_flan_coqa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 42954081
num_examples: 6409
download_size: 15878737
dataset_size: 42954081
- config_name: translated_flan_cot
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 103946965
num_examples: 91910
download_size: 36013799
dataset_size: 103946965
- config_name: translated_flan_gem_wiki
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 171947547
num_examples: 27147
download_size: 61509697
dataset_size: 171947547
- config_name: translated_flan_lambada
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 3350933
num_examples: 4279
download_size: 1244741
dataset_size: 3350933
- config_name: translated_flan_qa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 466231
num_examples: 540
download_size: 163927
dataset_size: 466231
- config_name: translated_hotpotqa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 173446675
num_examples: 355476
download_size: 51566169
dataset_size: 173446675
- config_name: translated_joke_explaination
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1427307
num_examples: 754
download_size: 324060
dataset_size: 1427307
- config_name: translated_mintaka
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 5737422
num_examples: 14000
download_size: 969828
dataset_size: 5737422
- config_name: translated_nqopen
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 55232722
num_examples: 175850
download_size: 15606726
dataset_size: 55232722
- config_name: translated_paws
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 47144986
num_examples: 49401
download_size: 6120004
dataset_size: 47144986
- config_name: translated_piqa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 19252904
num_examples: 16113
download_size: 5383085
dataset_size: 19252904
- config_name: translated_soda
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1112271687
num_examples: 1191582
download_size: 309159822
dataset_size: 1112271687
- config_name: translated_wiki_split
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 1111439015
num_examples: 989944
download_size: 326772204
dataset_size: 1111439015
- config_name: translated_wikiqa
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 730463
num_examples: 1040
download_size: 261132
dataset_size: 730463
- config_name: translated_xlel_wd
features:
- name: task_type
dtype: string
- name: script
dtype: string
- name: split
dtype: string
- name: inputs
dtype: string
- name: language
dtype: string
- name: id
dtype: int64
- name: sub_dataset_name
dtype: string
- name: dataset_name
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 859360927
num_examples: 523112
download_size: 320781896
dataset_size: 859360927
configs:
- config_name: complete_dataset
data_files:
- split: train
path: complete_dataset/train-*
- config_name: templated_indic_paraphrase
data_files:
- split: train
path: templated_indic_paraphrase/train-*
- config_name: templated_indic_sentiment
data_files:
- split: train
path: templated_indic_sentiment/train-*
- config_name: templated_telugu_food
data_files:
- split: train
path: templated_telugu_food/train-*
- config_name: templated_telugu_jokes
data_files:
- split: train
path: templated_telugu_jokes/train-*
- config_name: templated_telugu_news
data_files:
- split: train
path: templated_telugu_news/train-*
- config_name: templated_telugu_poems
data_files:
- split: train
path: templated_telugu_poems/train-*
- config_name: templated_telugu_riddles
data_files:
- split: train
path: templated_telugu_riddles/train-*
- config_name: templated_xlel_wd
data_files:
- split: train
path: templated_xlel_wd/train-*
- config_name: translated_adversarial_qa
data_files:
- split: train
path: translated_adversarial_qa/train-*
- config_name: translated_cnn_dailymail
data_files:
- split: train
path: translated_cnn_dailymail/train-*
- config_name: translated_dolly
data_files:
- split: train
path: translated_dolly/train-*
- config_name: translated_flan_coqa
data_files:
- split: train
path: translated_flan_coqa/train-*
- config_name: translated_flan_cot
data_files:
- split: train
path: translated_flan_cot/train-*
- config_name: translated_flan_gem_wiki
data_files:
- split: train
path: translated_flan_gem_wiki/train-*
- config_name: translated_flan_lambada
data_files:
- split: train
path: translated_flan_lambada/train-*
- config_name: translated_flan_qa
data_files:
- split: train
path: translated_flan_qa/train-*
- config_name: translated_hotpotqa
data_files:
- split: train
path: translated_hotpotqa/train-*
- config_name: translated_joke_explaination
data_files:
- split: train
path: translated_joke_explaination/train-*
- config_name: translated_mintaka
data_files:
- split: train
path: translated_mintaka/train-*
- config_name: translated_nqopen
data_files:
- split: train
path: translated_nqopen/train-*
- config_name: translated_paws
data_files:
- split: train
path: translated_paws/train-*
- config_name: translated_piqa
data_files:
- split: train
path: translated_piqa/train-*
- config_name: translated_soda
data_files:
- split: train
path: translated_soda/train-*
- config_name: translated_wiki_split
data_files:
- split: train
path: translated_wiki_split/train-*
- config_name: translated_wikiqa
data_files:
- split: train
path: translated_wikiqa/train-*
- config_name: translated_xlel_wd
data_files:
- split: train
path: translated_xlel_wd/train-*
license: apache-2.0
language:
- en
- te
---
# Aya_Telgu
This Dataset is curated from the original [Aya-Collection](https://huggingface.co/datasets/CohereForAI/aya_collection) dataset that was open-sourced by [Cohere](https://cohere.com/research) under the [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license.
The Aya Collection is a massive multilingual collection comprising 513 million instances of prompts and completions that cover a wide range of tasks. This collection uses instruction-style templates from fluent speakers and applies them to a curated list of datasets. It also includes translations of instruction-style datasets into 101 languages. The Aya Dataset, a human-curated multilingual instruction and response dataset, is part of this collection. Refer to our paper for more details about the collection.
### Motivations & Intentions
The original dataset is large and more task-specific than language-specific. To carry out a task specific to the Indic language, one would previously have needed to download the entire dataset (~600 GB) and filter it.
As we were training an Indic LLm internally, we filtered the dataset by language and curated this dataset.
You can find all the Indic-language specific datasets - [here](https://huggingface.co/collections/Cognitive-Lab/aya-indic-suite-65eaa0e34a2307f30bbd55e5).
## **Data Instances**
An example of a `train` instance looks as follows:
```yaml
{'id': 246001,
'inputs': 'The following query in English is taken from the geography category. What could be the answer to the question?\nWhat is the seventh tallest mountain in North America?',
'targets': 'The answer is Mount Lucania.',
'dataset_name': 'Mintaka-inst',
'sub_dataset_name': '-',
'task_type': 'question-answering',
'template_id': 3,
'language': 'eng',
'split': 'train',
'script': 'Latn'
}
```
## **Data Fields**
The data fields are the same among all splits:
- `id:` Unique id of the data point
- `inputs:` Prompt or input to the language model.
- `targets:` Completion or output of the language model.
- `dataset_name:` The name of the source dataset that the data point was taken from
- `sub_dataset_name:` If the source is a collection, this field indicates which part of that collection the data point was taken from. If it is not a collection, this field is left blank.
- `task_type:` The task type that this conversation belongs to.
- `template_id`: The id of the template applied to this data point.
- `language:` The ISO code of the dialect of the conversation.
- `script:` The script of the language.
- `split:` Indicates whether the data point is part of the `train` or the `test` split.
## **Licensing Information**
This dataset can be used for any purpose, whether academic or commercial, under the terms of the **[Apache 2.0](https://opensource.org/license/apache-2-0)** License.
Citation
```yaml
@misc{singh2024aya,
title={Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning},
author={Shivalika Singh and Freddie Vargus and Daniel Dsouza and Börje F. Karlsson and Abinaya Mahendiran and Wei-Yin Ko and Herumb Shandilya and Jay Patel and Deividas Mataciunas and Laura OMahony and Mike Zhang and Ramith Hettiarachchi and Joseph Wilson and Marina Machado and Luisa Souza Moura and Dominik Krzemiński and Hakimeh Fadaei and Irem Ergün and Ifeoma Okoh and Aisha Alaagib and Oshan Mudannayake and Zaid Alyafeai and Vu Minh Chien and Sebastian Ruder and Surya Guthikonda and Emad A. Alghamdi and Sebastian Gehrmann and Niklas Muennighoff and Max Bartolo and Julia Kreutzer and Ahmet Üstün and Marzieh Fadaee and Sara Hooker},
year={2024},
eprint={2402.06619},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |
Cognitive-Lab/Aya_Hindi | Cognitive-Lab | "2024-03-08T05:32:24Z" | 0 | 0 | [
"size_categories:1M<n<10M",
"language:en",
"language:hi",
"license:apache-2.0",
"croissant",
"arxiv:2402.06619",
"region:us"
] | null | "2024-03-07T14:42:11Z" | ---
dataset_info:
- config_name: complete_dataset
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 5634135057
num_examples: 3771709
download_size: 1626230714
dataset_size: 5634135057
- config_name: templated_hindi_headline
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 915323132
num_examples: 94217
download_size: 192571468
dataset_size: 915323132
- config_name: templated_hindi_news
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 436136894
num_examples: 42524
download_size: 89441706
dataset_size: 436136894
- config_name: templated_indic_paraphrase
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 731975
num_examples: 1001
download_size: 241632
dataset_size: 731975
- config_name: templated_indic_sentiment
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 730262
num_examples: 1156
download_size: 299936
dataset_size: 730262
- config_name: templated_mintaka
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 18391211
num_examples: 56000
download_size: 3894945
dataset_size: 18391211
- config_name: templated_ntx_llm
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 1185419
num_examples: 506
download_size: 128912
dataset_size: 1185419
- config_name: templated_xlel_wd
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 6084765
num_examples: 3940
download_size: 2157019
dataset_size: 6084765
- config_name: translated_adversarial_qa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 22985920
num_examples: 10000
download_size: 5618356
dataset_size: 22985920
- config_name: translated_cnn_dailymail
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 598585665
num_examples: 100000
download_size: 218762546
dataset_size: 598585665
- config_name: translated_dolly
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 30828048
num_examples: 14808
download_size: 11858598
dataset_size: 30828048
- config_name: translated_flan_coqa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 39119861
num_examples: 6409
download_size: 15029790
dataset_size: 39119861
- config_name: translated_flan_cot
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 98934248
num_examples: 91910
download_size: 33869605
dataset_size: 98934248
- config_name: translated_flan_gem_wiki
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 167881959
num_examples: 27147
download_size: 59957637
dataset_size: 167881959
- config_name: translated_flan_lambada
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 3388337
num_examples: 4279
download_size: 1272013
dataset_size: 3388337
- config_name: translated_flan_qa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 452586
num_examples: 540
download_size: 158337
dataset_size: 452586
- config_name: translated_hotpotqa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 169705823
num_examples: 355476
download_size: 50061586
dataset_size: 169705823
- config_name: translated_joke_explaination
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 1385133
num_examples: 754
download_size: 269690
dataset_size: 1385133
- config_name: translated_mintaka
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 5854298
num_examples: 14000
download_size: 943132
dataset_size: 5854298
- config_name: translated_nqopen
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 53305791
num_examples: 175850
download_size: 14829292
dataset_size: 53305791
- config_name: translated_paws
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 44491519
num_examples: 49401
download_size: 5853813
dataset_size: 44491519
- config_name: translated_piqa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 18583099
num_examples: 16113
download_size: 5025762
dataset_size: 18583099
- config_name: translated_soda
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 1167631298
num_examples: 1191582
download_size: 300524712
dataset_size: 1167631298
- config_name: translated_wiki_split
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 994661567
num_examples: 989944
download_size: 304386263
dataset_size: 994661567
- config_name: translated_wikiqa
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 717832
num_examples: 1040
download_size: 258651
dataset_size: 717832
- config_name: translated_xlel_wd
features:
- name: targets
dtype: string
- name: id
dtype: int64
- name: split
dtype: string
- name: sub_dataset_name
dtype: string
- name: task_type
dtype: string
- name: inputs
dtype: string
- name: template_id
dtype: int64
- name: language
dtype: string
- name: script
dtype: string
- name: dataset_name
dtype: string
splits:
- name: train
num_bytes: 837038415
num_examples: 523112
download_size: 308592573
dataset_size: 837038415
configs:
- config_name: complete_dataset
data_files:
- split: train
path: complete_dataset/train-*
- config_name: templated_hindi_headline
data_files:
- split: train
path: templated_hindi_headline/train-*
- config_name: templated_hindi_news
data_files:
- split: train
path: templated_hindi_news/train-*
- config_name: templated_indic_paraphrase
data_files:
- split: train
path: templated_indic_paraphrase/train-*
- config_name: templated_indic_sentiment
data_files:
- split: train
path: templated_indic_sentiment/train-*
- config_name: templated_mintaka
data_files:
- split: train
path: templated_mintaka/train-*
- config_name: templated_ntx_llm
data_files:
- split: train
path: templated_ntx_llm/train-*
- config_name: templated_xlel_wd
data_files:
- split: train
path: templated_xlel_wd/train-*
- config_name: translated_adversarial_qa
data_files:
- split: train
path: translated_adversarial_qa/train-*
- config_name: translated_cnn_dailymail
data_files:
- split: train
path: translated_cnn_dailymail/train-*
- config_name: translated_dolly
data_files:
- split: train
path: translated_dolly/train-*
- config_name: translated_flan_coqa
data_files:
- split: train
path: translated_flan_coqa/train-*
- config_name: translated_flan_cot
data_files:
- split: train
path: translated_flan_cot/train-*
- config_name: translated_flan_gem_wiki
data_files:
- split: train
path: translated_flan_gem_wiki/train-*
- config_name: translated_flan_lambada
data_files:
- split: train
path: translated_flan_lambada/train-*
- config_name: translated_flan_qa
data_files:
- split: train
path: translated_flan_qa/train-*
- config_name: translated_hotpotqa
data_files:
- split: train
path: translated_hotpotqa/train-*
- config_name: translated_joke_explaination
data_files:
- split: train
path: translated_joke_explaination/train-*
- config_name: translated_mintaka
data_files:
- split: train
path: translated_mintaka/train-*
- config_name: translated_nqopen
data_files:
- split: train
path: translated_nqopen/train-*
- config_name: translated_paws
data_files:
- split: train
path: translated_paws/train-*
- config_name: translated_piqa
data_files:
- split: train
path: translated_piqa/train-*
- config_name: translated_soda
data_files:
- split: train
path: translated_soda/train-*
- config_name: translated_wiki_split
data_files:
- split: train
path: translated_wiki_split/train-*
- config_name: translated_wikiqa
data_files:
- split: train
path: translated_wikiqa/train-*
- config_name: translated_xlel_wd
data_files:
- split: train
path: translated_xlel_wd/train-*
license: apache-2.0
language:
- en
- hi
size_categories:
- 1M<n<10M
---
# Aya_Hindi
This Dataset is curated from the original [Aya-Collection](https://huggingface.co/datasets/CohereForAI/aya_collection) dataset that was open-sourced by [Cohere](https://cohere.com/research) under the [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license.
The Aya Collection is a massive multilingual collection comprising 513 million instances of prompts and completions that cover a wide range of tasks. This collection uses instruction-style templates from fluent speakers and applies them to a curated list of datasets. It also includes translations of instruction-style datasets into 101 languages. The Aya Dataset, a human-curated multilingual instruction and response dataset, is part of this collection. Refer to our paper for more details about the collection.
### Motivations & Intentions
The original dataset is large and more task-specific than language-specific. To carry out a task specific to the Indic language, one would previously have needed to download the entire dataset (~600 GB) and filter it.
As we were training an Indic LLm internally, we filtered the dataset by language and curated this dataset.
You can find all the Indic-language specific datasets - [here](https://huggingface.co/collections/Cognitive-Lab/aya-indic-suite-65eaa0e34a2307f30bbd55e5).
## **Data Instances**
An example of a `train` instance looks as follows:
```yaml
{'id': 246001,
'inputs': 'The following query in English is taken from the geography category. What could be the answer to the question?\nWhat is the seventh tallest mountain in North America?',
'targets': 'The answer is Mount Lucania.',
'dataset_name': 'Mintaka-inst',
'sub_dataset_name': '-',
'task_type': 'question-answering',
'template_id': 3,
'language': 'eng',
'split': 'train',
'script': 'Latn'
}
```
## **Data Fields**
The data fields are the same among all splits:
- `id:` Unique id of the data point
- `inputs:` Prompt or input to the language model.
- `targets:` Completion or output of the language model.
- `dataset_name:` The name of the source dataset that the data point was taken from
- `sub_dataset_name:` If the source is a collection, this field indicates which part of that collection the data point was taken from. If it is not a collection, this field is left blank.
- `task_type:` The task type that this conversation belongs to.
- `template_id`: The id of the template applied to this data point.
- `language:` The ISO code of the dialect of the conversation.
- `script:` The script of the language.
- `split:` Indicates whether the data point is part of the `train` or the `test` split.
## **Licensing Information**
This dataset can be used for any purpose, whether academic or commercial, under the terms of the **[Apache 2.0](https://opensource.org/license/apache-2-0)** License.
Citation
```yaml
@misc{singh2024aya,
title={Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning},
author={Shivalika Singh and Freddie Vargus and Daniel Dsouza and Börje F. Karlsson and Abinaya Mahendiran and Wei-Yin Ko and Herumb Shandilya and Jay Patel and Deividas Mataciunas and Laura OMahony and Mike Zhang and Ramith Hettiarachchi and Joseph Wilson and Marina Machado and Luisa Souza Moura and Dominik Krzemiński and Hakimeh Fadaei and Irem Ergün and Ifeoma Okoh and Aisha Alaagib and Oshan Mudannayake and Zaid Alyafeai and Vu Minh Chien and Sebastian Ruder and Surya Guthikonda and Emad A. Alghamdi and Sebastian Gehrmann and Niklas Muennighoff and Max Bartolo and Julia Kreutzer and Ahmet Üstün and Marzieh Fadaee and Sara Hooker},
year={2024},
eprint={2402.06619},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|
xModo99/civit-ai-models | xModo99 | "2024-03-07T14:58:28Z" | 0 | 0 | [
"license:gpl-3.0",
"region:us"
] | null | "2024-03-07T14:42:45Z" | ---
license: gpl-3.0
---
|
herutriana44/Drugbank_Summary_Drug_Sequence | herutriana44 | "2024-03-08T14:57:08Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T14:42:52Z" | ---
license: mit
---
|
ranimeree/NewDataSet | ranimeree | "2024-03-07T16:37:09Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:48:15Z" | ---
dataset_info:
features:
- name: pixel_values
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 301061865.237
num_examples: 2769
- name: validation
num_bytes: 61731350.0
num_examples: 352
- name: test
num_bytes: 12103649.0
num_examples: 101
download_size: 361681457
dataset_size: 374896864.237
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
anitamaher/xdssfsefsef | anitamaher | "2024-03-07T14:56:53Z" | 0 | 0 | [
"license:cc-by-nc-sa-3.0",
"region:us"
] | null | "2024-03-07T14:56:14Z" | ---
license: cc-by-nc-sa-3.0
---
|
yangwang825/sst2-pwws-7 | yangwang825 | "2024-03-07T14:56:22Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T14:56:19Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: augment
dtype: string
splits:
- name: train
num_bytes: 6901034
num_examples: 54895
- name: validation
num_bytes: 110096
num_examples: 872
- name: test
num_bytes: 226340
num_examples: 1821
download_size: 1965487
dataset_size: 7237470
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
ranimeree/NewDataSetMixed | ranimeree | "2024-03-07T16:37:43Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:11:55Z" | ---
dataset_info:
features:
- name: pixel_values
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 395458124.688
num_examples: 2769
- name: validation
num_bytes: 61731350.0
num_examples: 352
- name: test
num_bytes: 12103649.0
num_examples: 101
download_size: 452227024
dataset_size: 469293123.688
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
David-Xu/raw_datasets_sft | David-Xu | "2024-03-07T15:20:18Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:20:16Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 12776367
num_examples: 8222
- name: test
num_bytes: 1393179
num_examples: 913
download_size: 7917740
dataset_size: 14169546
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2 | Mitsuki-Sakamoto | "2024-03-07T16:44:33Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:25:22Z" | ---
dataset_info:
- config_name: alpaca_instructions-pythia_14m_alpaca_farm_instructions_sft_constant_pa_seed_1
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: preference
dtype: int64
- name: output_1
dtype: string
- name: output_2
dtype: string
- name: reward_model_prompt_format
dtype: string
- name: gen_prompt_format
dtype: string
- name: gen_kwargs
struct:
- name: do_sample
dtype: bool
- name: max_new_tokens
dtype: int64
- name: pad_token_id
dtype: int64
- name: top_k
dtype: int64
- name: top_p
dtype: float64
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
- name: n_samples
dtype: int64
splits:
- name: preference
num_bytes: 25315216
num_examples: 20001
download_size: 12112309
dataset_size: 25315216
- config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: preference
dtype: int64
- name: output_1
dtype: string
- name: output_2
dtype: string
- name: reward_model_prompt_format
dtype: string
- name: gen_prompt_format
dtype: string
- name: gen_kwargs
struct:
- name: do_sample
dtype: bool
- name: max_new_tokens
dtype: int64
- name: pad_token_id
dtype: int64
- name: top_k
dtype: int64
- name: top_p
dtype: float64
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
- name: n_samples
dtype: int64
splits:
- name: preference
num_bytes: 25451634
num_examples: 20001
download_size: 12144402
dataset_size: 25451634
- config_name: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: preference
dtype: int64
- name: output_1
dtype: string
- name: output_2
dtype: string
- name: reward_model_prompt_format
dtype: string
- name: gen_prompt_format
dtype: string
- name: gen_kwargs
struct:
- name: do_sample
dtype: bool
- name: max_new_tokens
dtype: int64
- name: pad_token_id
dtype: int64
- name: top_k
dtype: int64
- name: top_p
dtype: float64
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
- name: n_samples
dtype: int64
splits:
- name: preference
num_bytes: 25276914
num_examples: 20001
download_size: 11799025
dataset_size: 25276914
configs:
- config_name: alpaca_instructions-pythia_14m_alpaca_farm_instructions_sft_constant_pa_seed_1
data_files:
- split: preference
path: alpaca_instructions-pythia_14m_alpaca_farm_instructions_sft_constant_pa_seed_1/preference-*
- config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
data_files:
- split: preference
path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/preference-*
- config_name: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1
data_files:
- split: preference
path: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1/preference-*
---
|
davanstrien/Inflection-Benchmarks | davanstrien | "2024-03-07T15:44:37Z" | 0 | 10 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T15:27:37Z" | ---
configs:
- config_name: mt_bench_inf
data_files:
- split: train
path: data/mt_bench_inf.jsonl
- config_name: physics_gre
data_files:
- split: train
path: data/physics_gre.jsonl
- config_name: physics_gre_scored
data_files:
- split: train
path: data/physics_gre_scored.jsonl
license: mit
---
Cloned from https://github.com/InflectionAI/Inflection-Benchmarks
# MT-Bench Inf
In `mt_bench_inf.jsonl` we release a corrected version of the [MT-Bench](https://github.com/lm-sys/FastChat?tab=readme-ov-file#evaluation) questions that we use for evaluation. Each entry has the following fields:
* `question_id`: The question number
* `category`: Which MT-Bench category
* `turn`: A list with the turns
* `reference [optional]`: A reference answer
Below, we show a few examples of questions, the original GPT-4 Reference answer, and our corrected answer:
### Reasoning #104
Question:
```
David has three sisters. Each of them has one brother. How many brothers does David have?
```
GPT-4 Reference Answer:
```
David has only one brother.
```
Our Corrected Answer:
```
David has no brother. He is the one brother of his three sisters.
```
### Math #111
Question:
```
The vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?
```
GPT-4 Reference Answer:
```
To find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):
Area = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|
In this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:
Area = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|
Area = (1/2) * |(-0 + 3 - 3)|
Area = (1/2) * |0|
Area = 0
The area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.
```
Our Corrected Answer:
```
Area is 3
```
Overall, we find nearly 25% of examples in the reasoning, math, and coding categories had incorrect reference solutions or had flawed premises.
# Physics GRE
We release four processed Physics GRE exams, a common graduate school entrance exam for physics students.
* `physics_gre_scored.jsonl`: Exam GR8677 which we report results on.
* `physics_gre.jsonl`: Three aditional Physics GRE exams (GR9277, GR9677, and GR0177).
Each entry has the following fields:
* `input`: The question
* `target_scores`: The correct answer choice
* `has_image`: Whether or not the question has an image. We include only questions without an image in our scoring.
| Model | Percentile |
| ----------------------| ---------: |
| Inflection-2.5 maj@8 | 85 |
| Inflection-2.5 maj@32 | 95 |
| GPT-4 maj@8 | 97 |
## Exam Scoring Details
For the Physics GRE, each correct answer is worth 1 point and each incorrect answer results in a -0.25 reduction.
To compute score, we make the following assumption:
```
Raw_Score = Percentage_Correct - 0.25 * (1 - Percentage_Correct)
```
where `Percentage_Correct` is computed purely on questions without images. For simplicity, we do not use heuristics to allow the model not to answer.
| Raw Score | Percentile |
| -----------: | ---------: |
| 81 – 100 | 98 |
| 77 – 80 | 97 |
| 75 – 76 | 96 |
| 72 – 74 | 95 |
| 71 | 94 |
| 69 – 70 | 93 |
| 67 – 68 | 92 |
| 65 – 66 | 91 |
| 64 | 90 |
| 63 | 89 |
| 61 – 62 | 87 |
| 60 | 86 |
| 59 | 85 |
| 57 – 58 | 84 |
| 56 | 82 |
| 55 | 80 |
| 53 – 54 | 78 |
| 52 | 77 |
| 51 | 75 |
| 49 – 50 | 72 |
| 48 | 70 |
| 47 | 69 |
| 45 – 46 | 66 |
| 44 | 64 |
| 43 | 62 |
| 41 – 42 | 59 |
| 40 | 57 |
| 39 | 54 |
| 37 – 38 | 52 |
| 36 | 48 |
| 35 | 46 |
| 33 – 34 | 43 |
| 32 | 41 |
| 30 – 31 | 38 |
| 29 | 35 |
| 28 | 32 |
| 26 – 27 | 30 |
| 25 | 27 |
| 24 | 25 |
| 22 – 23 | 22 |
| 21 | 20 |
| 20 | 18 |
| 18 – 19 | 16 |
| 17 | 14 |
| 16 | 12 |
| 14 – 15 | 10 |
| 13 | 9 |
| 12 | 8 |
| 10 – 11 | 6 |
| 9 | 5 |
| 8 | 4 |
| 6 – 7 | 3 |
| 5 | 2 |
| 1 – 4 | 1 |
| 0 | 0 | |
316usman/thematic3a_1 | 316usman | "2024-03-07T15:30:07Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:30:05Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: document_url
dtype: string
- name: source_url
dtype: string
- name: country
dtype: string
splits:
- name: train
num_bytes: 88423220
num_examples: 142941
download_size: 31971043
dataset_size: 88423220
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
argilla/10k_prompts_SPIN_iter2_zephyr_top | argilla | "2024-03-07T15:39:13Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:39:08Z" | ---
dataset_info:
features:
- name: generated
list:
- name: content
dtype: string
- name: role
dtype: string
- name: real
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 9187059.362445414
num_examples: 1648
- name: test
num_bytes: 1025739.6375545851
num_examples: 184
download_size: 5809205
dataset_size: 10212799.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
kaushik-123/orca_deduplicated_dataset | kaushik-123 | "2024-03-07T16:14:38Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T15:40:26Z" | ---
license: mit
---
|
yangwang825/sst2-textbugger-7 | yangwang825 | "2024-03-07T15:41:08Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:41:05Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: augment
dtype: string
splits:
- name: train
num_bytes: 7067172
num_examples: 53134
- name: validation
num_bytes: 110096
num_examples: 872
- name: test
num_bytes: 226340
num_examples: 1821
download_size: 1839479
dataset_size: 7403608
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
wesslen/ecfr-title-12 | wesslen | "2024-05-29T16:59:40Z" | 0 | 0 | [
"language:en",
"croissant",
"region:us"
] | null | "2024-03-07T15:47:23Z" | ---
language:
- en
dataset_info:
features:
- name: text
dtype: string
- name: meta
struct:
- name: chapter
sequence: string
- name: chapter_title
sequence: string
- name: subchapter
sequence: string
- name: subchapter_title
sequence: string
- name: part
sequence: string
- name: part_title
sequence: string
- name: section
sequence: string
- name: section_title
sequence: string
splits:
- name: train
num_bytes: 16669304
num_examples: 4665
download_size: 5913311
dataset_size: 16669304
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ardaorcun/instruct-data | ardaorcun | "2024-03-07T15:53:05Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:53:02Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 3777246.430289243
num_examples: 2153
- name: test
num_bytes: 1621075.5697107571
num_examples: 924
download_size: 3040637
dataset_size: 5398322.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
aagoluoglu/AI_HW3_detections_w_vectors | aagoluoglu | "2024-03-08T17:01:11Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T15:54:20Z" | ---
dataset_info:
features:
- name: video_id
dtype: string
- name: frame_num
dtype: int64
- name: timestamp
dtype: float64
- name: detected_obj_id
dtype: int64
- name: detected_obj_class
dtype: int64
- name: confidence
dtype: float32
- name: bbox_info
sequence: float32
- name: vector
sequence: float32
splits:
- name: train
num_bytes: 9226201
num_examples: 1111
download_size: 7008285
dataset_size: 9226201
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Arnaldo34/Cria | Arnaldo34 | "2024-03-07T15:55:21Z" | 0 | 0 | [
"license:openrail",
"croissant",
"region:us"
] | null | "2024-03-07T15:54:56Z" | ---
license: openrail
---
|
sjcrz/synth-sky-images-large | sjcrz | "2024-03-08T16:28:07Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T16:08:53Z" | ---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: time
dtype: string
- name: ghi
dtype: float64
- name: dni
dtype: float64
- name: dhi
dtype: float64
splits:
- name: train
num_bytes: 1454459751.36
num_examples: 20160
- name: test
num_bytes: 303063516.0
num_examples: 4200
download_size: 218282716
dataset_size: 1757523267.36
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
DIBT/prompts_ranked_multilingual_benchmark | DIBT | "2024-03-21T12:36:59Z" | 0 | 1 | [
"croissant",
"region:us"
] | null | "2024-03-07T16:14:52Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: quality
list:
- name: status
dtype: string
- name: user_id
dtype: string
- name: value
dtype: string
- name: metadata
dtype: string
- name: avg_rating
dtype: float64
- name: num_responses
dtype: int64
- name: agreement_ratio
dtype: float64
- name: raw_responses
sequence: int64
- name: kind
dtype: string
- name: cluster_description
dtype: string
- name: topic
dtype: string
- name: row_idx
dtype: int64
splits:
- name: train
num_bytes: 460915
num_examples: 501
download_size: 195434
dataset_size: 460915
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Clonador/mckk | Clonador | "2024-03-07T16:41:34Z" | 0 | 0 | [
"license:openrail",
"croissant",
"region:us"
] | null | "2024-03-07T16:40:34Z" | ---
license: openrail
---
|
JaehyungKim/p2c_cola | JaehyungKim | "2024-03-07T18:06:57Z" | 0 | 0 | [
"license:other",
"croissant",
"region:us"
] | null | "2024-03-07T16:52:58Z" | ---
license: other
license_name: refer-original-dataset
license_link: LICENSE
---
|
deepghs/character_index | deepghs | "2024-06-10T10:54:12Z" | 0 | 3 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T17:00:24Z" | ---
license: mit
---
# Anime Character Index
This dataset if for collecting all the hot characters from the internet, and extract their features and core tags. It will be useful for **automatically testing the character generating ability of the anime-style base models**.
3708 characters in total.
## Copyrights
| Copyright | Count |
|:----------------------------------------------------------------------------------------------------------------------------------|--------:|
| [kantai_collection](pages/kantai_collection.md) | 282 |
| [fate_(series)](pages/fate_series.md) | 216 |
| [pokemon](pages/pokemon.md) | 199 |
| [hololive](pages/hololive.md) | 156 |
| [touhou](pages/touhou.md) | 149 |
| [blue_archive](pages/blue_archive.md) | 137 |
| [idolmaster](pages/idolmaster.md) | 136 |
| [arknights](pages/arknights.md) | 96 |
| [genshin_impact](pages/genshin_impact.md) | 96 |
| [azur_lane](pages/azur_lane.md) | 83 |
| [umamusume](pages/umamusume.md) | 78 |
| [fire_emblem](pages/fire_emblem.md) | 66 |
| [precure](pages/precure.md) | 66 |
| [nijisanji](pages/nijisanji.md) | 54 |
| [girls_und_panzer](pages/girls_und_panzer.md) | 51 |
| [jojo_no_kimyou_na_bouken](pages/jojo_no_kimyou_na_bouken.md) | 44 |
| [danganronpa_(series)](pages/danganronpa_series.md) | 39 |
| [honkai_(series)](pages/honkai_series.md) | 37 |
| [love_live!](pages/love_live.md) | 37 |
| [girls'_frontline](pages/girls_frontline.md) | 36 |
| [final_fantasy](pages/final_fantasy.md) | 35 |
| [fate/grand_order](pages/fate_grand_order.md) | 34 |
| [kemono_friends](pages/kemono_friends.md) | 34 |
| [vocaloid](pages/vocaloid.md) | 30 |
| [granblue_fantasy](pages/granblue_fantasy.md) | 29 |
| [persona](pages/persona.md) | 28 |
| [bang_dream!](pages/bang_dream.md) | 24 |
| [touken_ranbu](pages/touken_ranbu.md) | 22 |
| [gundam](pages/gundam.md) | 21 |
| [bishoujo_senshi_sailor_moon](pages/bishoujo_senshi_sailor_moon.md) | 20 |
| [league_of_legends](pages/league_of_legends.md) | 19 |
| [lyrical_nanoha](pages/lyrical_nanoha.md) | 19 |
| [boku_no_hero_academia](pages/boku_no_hero_academia.md) | 17 |
| [dragon_ball](pages/dragon_ball.md) | 17 |
| [honkai:_star_rail](pages/honkai_star_rail.md) | 17 |
| [mahou_shoujo_madoka_magica](pages/mahou_shoujo_madoka_magica.md) | 16 |
| [original](pages/original.md) | 16 |
| [princess_connect!](pages/princess_connect.md) | 15 |
| [project_sekai](pages/project_sekai.md) | 15 |
| [xenoblade_chronicles_(series)](pages/xenoblade_chronicles_series.md) | 15 |
| [yu-gi-oh!](pages/yu_gi_oh.md) | 15 |
| [chainsaw_man](pages/chainsaw_man.md) | 14 |
| [guilty_gear](pages/guilty_gear.md) | 14 |
| [one_piece](pages/one_piece.md) | 14 |
| [splatoon_(series)](pages/splatoon_series.md) | 14 |
| [umineko_no_naku_koro_ni](pages/umineko_no_naku_koro_ni.md) | 14 |
| [shingeki_no_kyojin](pages/shingeki_no_kyojin.md) | 13 |
| [sword_art_online](pages/sword_art_online.md) | 13 |
| [tales_of_(series)](pages/tales_of_series.md) | 13 |
| [blazblue](pages/blazblue.md) | 12 |
| [mario_(series)](pages/mario_series.md) | 12 |
| [monogatari_(series)](pages/monogatari_series.md) | 12 |
| [neptune_(series)](pages/neptune_series.md) | 12 |
| [street_fighter](pages/street_fighter.md) | 12 |
| [toaru_majutsu_no_index](pages/toaru_majutsu_no_index.md) | 12 |
| [world_witches_series](pages/world_witches_series.md) | 12 |
| [jujutsu_kaisen](pages/jujutsu_kaisen.md) | 11 |
| [naruto_(series)](pages/naruto_series.md) | 11 |
| [overwatch](pages/overwatch.md) | 11 |
| [the_legend_of_zelda](pages/the_legend_of_zelda.md) | 11 |
| [dragon_quest](pages/dragon_quest.md) | 10 |
| [kagerou_project](pages/kagerou_project.md) | 10 |
| [kill_la_kill](pages/kill_la_kill.md) | 10 |
| [project_moon](pages/project_moon.md) | 10 |
| [dungeon_meshi](pages/dungeon_meshi.md) | 9 |
| [gochuumon_wa_usagi_desu_ka?](pages/gochuumon_wa_usagi_desu_ka.md) | 9 |
| [inazuma_eleven_(series)](pages/inazuma_eleven_series.md) | 9 |
| [k-on!](pages/k_on.md) | 9 |
| [kimetsu_no_yaiba](pages/kimetsu_no_yaiba.md) | 9 |
| [marvel](pages/marvel.md) | 9 |
| [mega_man_(series)](pages/mega_man_series.md) | 9 |
| [tsukihime](pages/tsukihime.md) | 9 |
| [code_geass](pages/code_geass.md) | 8 |
| [helltaker](pages/helltaker.md) | 8 |
| [little_busters!](pages/little_busters.md) | 8 |
| [rozen_maiden](pages/rozen_maiden.md) | 8 |
| [voiceroid](pages/voiceroid.md) | 8 |
| [axis_powers_hetalia](pages/axis_powers_hetalia.md) | 7 |
| [bocchi_the_rock!](pages/bocchi_the_rock.md) | 7 |
| [clannad](pages/clannad.md) | 7 |
| [hibike!_euphonium](pages/hibike_euphonium.md) | 7 |
| [high_school_dxd](pages/high_school_dxd.md) | 7 |
| [kono_subarashii_sekai_ni_shukufuku_wo!](pages/kono_subarashii_sekai_ni_shukufuku_wo.md) | 7 |
| [lucky_star](pages/lucky_star.md) | 7 |
| [macross](pages/macross.md) | 7 |
| [neon_genesis_evangelion](pages/neon_genesis_evangelion.md) | 7 |
| [omori](pages/omori.md) | 7 |
| [senki_zesshou_symphogear](pages/senki_zesshou_symphogear.md) | 7 |
| [sonic_(series)](pages/sonic_series.md) | 7 |
| [suzumiya_haruhi_no_yuuutsu](pages/suzumiya_haruhi_no_yuuutsu.md) | 7 |
| [to_love-ru](pages/to_love_ru.md) | 7 |
| [yuru_yuri](pages/yuru_yuri.md) | 7 |
| [zombie_land_saga](pages/zombie_land_saga.md) | 7 |
| [bleach](pages/bleach.md) | 6 |
| [elsword](pages/elsword.md) | 6 |
| [golden_kamuy](pages/golden_kamuy.md) | 6 |
| [higurashi_no_naku_koro_ni](pages/higurashi_no_naku_koro_ni.md) | 6 |
| [kobayashi-san_chi_no_maidragon](pages/kobayashi_san_chi_no_maidragon.md) | 6 |
| [onii-chan_wa_oshimai!](pages/onii_chan_wa_oshimai.md) | 6 |
| [re:zero_kara_hajimeru_isekai_seikatsu](pages/re_zero_kara_hajimeru_isekai_seikatsu.md) | 6 |
| [rwby](pages/rwby.md) | 6 |
| [skullgirls](pages/skullgirls.md) | 6 |
| [tiger_&_bunny](pages/tiger_bunny.md) | 6 |
| [tokyo_afterschool_summoners](pages/tokyo_afterschool_summoners.md) | 6 |
| [ace_attorney](pages/ace_attorney.md) | 5 |
| [aikatsu!_(series)](pages/aikatsu_series.md) | 5 |
| [angel_beats!](pages/angel_beats.md) | 5 |
| [apex_legends](pages/apex_legends.md) | 5 |
| [aria_(manga)](pages/aria_manga.md) | 5 |
| [fullmetal_alchemist](pages/fullmetal_alchemist.md) | 5 |
| [go-toubun_no_hanayome](pages/go_toubun_no_hanayome.md) | 5 |
| [hunter_x_hunter](pages/hunter_x_hunter.md) | 5 |
| [infinite_stratos](pages/infinite_stratos.md) | 5 |
| [kingdom_hearts](pages/kingdom_hearts.md) | 5 |
| [luo_xiaohei_zhanji](pages/luo_xiaohei_zhanji.md) | 5 |
| [oshi_no_ko](pages/oshi_no_ko.md) | 5 |
| [panty_&_stocking_with_garterbelt](pages/panty_stocking_with_garterbelt.md) | 5 |
| [resident_evil](pages/resident_evil.md) | 5 |
| [senran_kagura](pages/senran_kagura.md) | 5 |
| [sousou_no_frieren](pages/sousou_no_frieren.md) | 5 |
| [spy_x_family](pages/spy_x_family.md) | 5 |
| [tengen_toppa_gurren_lagann](pages/tengen_toppa_gurren_lagann.md) | 5 |
| [the_king_of_fighters](pages/the_king_of_fighters.md) | 5 |
| [watashi_ga_motenai_no_wa_dou_kangaetemo_omaera_ga_warui!](pages/watashi_ga_motenai_no_wa_dou_kangaetemo_omaera_ga_warui.md) | 5 |
| [amagami](pages/amagami.md) | 4 |
| [cardcaptor_sakura](pages/cardcaptor_sakura.md) | 4 |
| [dead_or_alive](pages/dead_or_alive.md) | 4 |
| [doki_doki_literature_club](pages/doki_doki_literature_club.md) | 4 |
| [gintama](pages/gintama.md) | 4 |
| [gridman_universe](pages/gridman_universe.md) | 4 |
| [houseki_no_kuni](pages/houseki_no_kuni.md) | 4 |
| [kaguya-sama_wa_kokurasetai_~tensai-tachi_no_renai_zunousen~](pages/kaguya_sama_wa_kokurasetai_tensai_tachi_no_renai_zunousen.md) | 4 |
| [link!_like!_love_live!](pages/link_like_love_live.md) | 4 |
| [magia_record:_mahou_shoujo_madoka_magica_gaiden](pages/magia_record_mahou_shoujo_madoka_magica_gaiden.md) | 4 |
| [maria-sama_ga_miteru](pages/maria_sama_ga_miteru.md) | 4 |
| [monster_musume_no_iru_nichijou](pages/monster_musume_no_iru_nichijou.md) | 4 |
| [mushoku_tensei](pages/mushoku_tensei.md) | 4 |
| [nanashi_inc.](pages/nanashi_inc.md) | 4 |
| [nichijou](pages/nichijou.md) | 4 |
| [nier_(series)](pages/nier_series.md) | 4 |
| [os-tan](pages/os_tan.md) | 4 |
| [ragnarok_online](pages/ragnarok_online.md) | 4 |
| [saki](pages/saki.md) | 4 |
| [steins;gate](pages/steins_gate.md) | 4 |
| [tekken](pages/tekken.md) | 4 |
| [to_heart_(series)](pages/to_heart_series.md) | 4 |
| [vampire_(game)](pages/vampire_game.md) | 4 |
| [watashi_ni_tenshi_ga_maiorita!](pages/watashi_ni_tenshi_ga_maiorita.md) | 4 |
| [yahari_ore_no_seishun_lovecome_wa_machigatteiru.](pages/yahari_ore_no_seishun_lovecome_wa_machigatteiru.md) | 4 |
| [yurucamp](pages/yurucamp.md) | 4 |
| [aldnoah.zero](pages/aldnoah_zero.md) | 3 |
| [alice_in_wonderland](pages/alice_in_wonderland.md) | 3 |
| [animal_crossing](pages/animal_crossing.md) | 3 |
| [assault_lily](pages/assault_lily.md) | 3 |
| [atelier_(series)](pages/atelier_series.md) | 3 |
| [black_rock_shooter](pages/black_rock_shooter.md) | 3 |
| [bloodborne](pages/bloodborne.md) | 3 |
| [boku_wa_tomodachi_ga_sukunai](pages/boku_wa_tomodachi_ga_sukunai.md) | 3 |
| [chuunibyou_demo_koi_ga_shitai!](pages/chuunibyou_demo_koi_ga_shitai.md) | 3 |
| [cyberpunk_(series)](pages/cyberpunk_series.md) | 3 |
| [darker_than_black](pages/darker_than_black.md) | 3 |
| [darling_in_the_franxx](pages/darling_in_the_franxx.md) | 3 |
| [digimon](pages/digimon.md) | 3 |
| [disgaea](pages/disgaea.md) | 3 |
| [dokidoki!_precure](pages/dokidoki_precure.md) | 3 |
| [durarara!!](pages/durarara.md) | 3 |
| [elden_ring](pages/elden_ring.md) | 3 |
| [gegege_no_kitarou](pages/gegege_no_kitarou.md) | 3 |
| [goddess_of_victory:_nikke](pages/goddess_of_victory_nikke.md) | 3 |
| [happinesscharge_precure!](pages/happinesscharge_precure.md) | 3 |
| [hyouka](pages/hyouka.md) | 3 |
| [ib](pages/ib.md) | 3 |
| [inuyasha](pages/inuyasha.md) | 3 |
| [kanon](pages/kanon.md) | 3 |
| [little_witch_academia](pages/little_witch_academia.md) | 3 |
| [machikado_mazoku](pages/machikado_mazoku.md) | 3 |
| [made_in_abyss](pages/made_in_abyss.md) | 3 |
| [mahou_girls_precure!](pages/mahou_girls_precure.md) | 3 |
| [meitantei_conan](pages/meitantei_conan.md) | 3 |
| [monster_hunter_(series)](pages/monster_hunter_series.md) | 3 |
| [one-punch_man](pages/one_punch_man.md) | 3 |
| [ore_no_imouto_ga_konna_ni_kawaii_wake_ga_nai](pages/ore_no_imouto_ga_konna_ni_kawaii_wake_ga_nai.md) | 3 |
| [osomatsu-san](pages/osomatsu_san.md) | 3 |
| [puyopuyo](pages/puyopuyo.md) | 3 |
| [ranma_1/2](pages/ranma_1_2.md) | 3 |
| [saenai_heroine_no_sodatekata](pages/saenai_heroine_no_sodatekata.md) | 3 |
| [sanrio](pages/sanrio.md) | 3 |
| [shoujo_kageki_revue_starlight](pages/shoujo_kageki_revue_starlight.md) | 3 |
| [toradora!](pages/toradora.md) | 3 |
| [undertale](pages/undertale.md) | 3 |
| [working!!](pages/working.md) | 3 |
| [yuri!!!_on_ice](pages/yuri_on_ice.md) | 3 |
| [yuyushiki](pages/yuyushiki.md) | 3 |
| [ano_hi_mita_hana_no_namae_wo_bokutachi_wa_mada_shiranai.](pages/ano_hi_mita_hana_no_namae_wo_bokutachi_wa_mada_shiranai.md) | 2 |
| [berserk](pages/berserk.md) | 2 |
| [call_of_duty](pages/call_of_duty.md) | 2 |
| [cloud_nine_inc](pages/cloud_nine_inc.md) | 2 |
| [cowboy_bebop](pages/cowboy_bebop.md) | 2 |
| [date_a_live](pages/date_a_live.md) | 2 |
| [dc_comics](pages/dc_comics.md) | 2 |
| [devil_may_cry_(series)](pages/devil_may_cry_series.md) | 2 |
| [di_gi_charat](pages/di_gi_charat.md) | 2 |
| [dragon's_crown](pages/dragon_s_crown.md) | 2 |
| [eromanga_sensei](pages/eromanga_sensei.md) | 2 |
| [fairy_tail](pages/fairy_tail.md) | 2 |
| [fatal_fury](pages/fatal_fury.md) | 2 |
| [frozen_(disney)](pages/frozen_disney.md) | 2 |
| [gabriel_dropout](pages/gabriel_dropout.md) | 2 |
| [galaxy_angel](pages/galaxy_angel.md) | 2 |
| [go!_princess_precure](pages/go_princess_precure.md) | 2 |
| [goblin_slayer!](pages/goblin_slayer.md) | 2 |
| [hataraku_saibou](pages/hataraku_saibou.md) | 2 |
| [hayate_no_gotoku!](pages/hayate_no_gotoku.md) | 2 |
| [heartcatch_precure!](pages/heartcatch_precure.md) | 2 |
| [hidamari_sketch](pages/hidamari_sketch.md) | 2 |
| [indie_virtual_youtuber](pages/indie_virtual_youtuber.md) | 2 |
| [kamitsubaki_studio](pages/kamitsubaki_studio.md) | 2 |
| [kid_icarus](pages/kid_icarus.md) | 2 |
| [kill_me_baby](pages/kill_me_baby.md) | 2 |
| [kin-iro_mosaic](pages/kin_iro_mosaic.md) | 2 |
| [len'en](pages/len_en.md) | 2 |
| [love_plus](pages/love_plus.md) | 2 |
| [lycoris_recoil](pages/lycoris_recoil.md) | 2 |
| [mahou_sensei_negima!](pages/mahou_sensei_negima.md) | 2 |
| [mahou_shoujo_ni_akogarete](pages/mahou_shoujo_ni_akogarete.md) | 2 |
| [mahou_tsukai_no_yoru](pages/mahou_tsukai_no_yoru.md) | 2 |
| [majo_no_takkyuubin](pages/majo_no_takkyuubin.md) | 2 |
| [mawaru_penguindrum](pages/mawaru_penguindrum.md) | 2 |
| [metroid](pages/metroid.md) | 2 |
| [mob_psycho_100](pages/mob_psycho_100.md) | 2 |
| [my-hime](pages/my_hime.md) | 2 |
| [nagi_no_asukara](pages/nagi_no_asukara.md) | 2 |
| [needy_girl_overdose](pages/needy_girl_overdose.md) | 2 |
| [nekopara](pages/nekopara.md) | 2 |
| [new_game!](pages/new_game.md) | 2 |
| [nitroplus](pages/nitroplus.md) | 2 |
| [pretty_series](pages/pretty_series.md) | 2 |
| [promare](pages/promare.md) | 2 |
| [punishing:_gray_raven](pages/punishing_gray_raven.md) | 2 |
| [reverse:1999](pages/reverse_1999.md) | 2 |
| [ryuuou_no_oshigoto!](pages/ryuuou_no_oshigoto.md) | 2 |
| [saibou_shinkyoku](pages/saibou_shinkyoku.md) | 2 |
| [samurai_spirits](pages/samurai_spirits.md) | 2 |
| [sayonara_zetsubou_sensei](pages/sayonara_zetsubou_sensei.md) | 2 |
| [sekai_seifuku:_bouryaku_no_zvezda](pages/sekai_seifuku_bouryaku_no_zvezda.md) | 2 |
| [senpai_ga_uzai_kouhai_no_hanashi](pages/senpai_ga_uzai_kouhai_no_hanashi.md) | 2 |
| [shakugan_no_shana](pages/shakugan_no_shana.md) | 2 |
| [shoujo_kakumei_utena](pages/shoujo_kakumei_utena.md) | 2 |
| [sono_bisque_doll_wa_koi_wo_suru](pages/sono_bisque_doll_wa_koi_wo_suru.md) | 2 |
| [tears_of_themis](pages/tears_of_themis.md) | 2 |
| [tokyo_ghoul](pages/tokyo_ghoul.md) | 2 |
| [trigun](pages/trigun.md) | 2 |
| [uzaki-chan_wa_asobitai!](pages/uzaki_chan_wa_asobitai.md) | 2 |
| [vshojo](pages/vshojo.md) | 2 |
| [yama_no_susume](pages/yama_no_susume.md) | 2 |
| [yuuki_bakuhatsu_bang_bravern](pages/yuuki_bakuhatsu_bang_bravern.md) | 2 |
| [.live](pages/live.md) | 1 |
| [a.i._voice](pages/a_i_voice.md) | 1 |
| [aa_megami-sama](pages/aa_megami_sama.md) | 1 |
| [accel_world](pages/accel_world.md) | 1 |
| [air_(visual_novel)](pages/air_visual_novel.md) | 1 |
| [amagi_brilliant_park](pages/amagi_brilliant_park.md) | 1 |
| [aoki_hagane_no_arpeggio](pages/aoki_hagane_no_arpeggio.md) | 1 |
| [arms_(game)](pages/arms_game.md) | 1 |
| [avatar_legends](pages/avatar_legends.md) | 1 |
| [azumanga_daioh](pages/azumanga_daioh.md) | 1 |
| [baldur's_gate](pages/baldur_s_gate.md) | 1 |
| [bayonetta_(series)](pages/bayonetta_series.md) | 1 |
| [black_lagoon](pages/black_lagoon.md) | 1 |
| [blend_s](pages/blend_s.md) | 1 |
| [boku_no_kokoro_no_yabai_yatsu](pages/boku_no_kokoro_no_yabai_yatsu.md) | 1 |
| [bombergirl](pages/bombergirl.md) | 1 |
| [brand_new_animal](pages/brand_new_animal.md) | 1 |
| [brave_witches](pages/brave_witches.md) | 1 |
| [capcom_fighting_jam](pages/capcom_fighting_jam.md) | 1 |
| [charlotte_(anime)](pages/charlotte_anime.md) | 1 |
| [chrono_trigger](pages/chrono_trigger.md) | 1 |
| [cookie_(touhou)](pages/cookie_touhou.md) | 1 |
| [dagashi_kashi](pages/dagashi_kashi.md) | 1 |
| [delicious_party_precure](pages/delicious_party_precure.md) | 1 |
| [deltarune](pages/deltarune.md) | 1 |
| [dennou_coil](pages/dennou_coil.md) | 1 |
| [denpa_onna_to_seishun_otoko](pages/denpa_onna_to_seishun_otoko.md) | 1 |
| [disney](pages/disney.md) | 1 |
| [dorohedoro](pages/dorohedoro.md) | 1 |
| [douluo_dalu](pages/douluo_dalu.md) | 1 |
| [dungeon_ni_deai_wo_motomeru_no_wa_machigatteiru_darou_ka](pages/dungeon_ni_deai_wo_motomeru_no_wa_machigatteiru_darou_ka.md) | 1 |
| [eureka_seven_(series)](pages/eureka_seven_series.md) | 1 |
| [final_fight](pages/final_fight.md) | 1 |
| [free!](pages/free.md) | 1 |
| [fresh_precure!](pages/fresh_precure.md) | 1 |
| [fukumoto_mahjong](pages/fukumoto_mahjong.md) | 1 |
| [fushigi_no_umi_no_nadia](pages/fushigi_no_umi_no_nadia.md) | 1 |
| [gakuen_idolmaster](pages/gakuen_idolmaster.md) | 1 |
| [ganbare_douki-chan](pages/ganbare_douki_chan.md) | 1 |
| [gate_-_jieitai_ka_no_chi_nite_kaku_tatakaeri](pages/gate_jieitai_ka_no_chi_nite_kaku_tatakaeri.md) | 1 |
| [gekkan_shoujo_nozaki-kun](pages/gekkan_shoujo_nozaki_kun.md) | 1 |
| [getsuyoubi_no_tawawa](pages/getsuyoubi_no_tawawa.md) | 1 |
| [ghost_in_the_shell](pages/ghost_in_the_shell.md) | 1 |
| [girls_band_cry](pages/girls_band_cry.md) | 1 |
| [god_eater](pages/god_eater.md) | 1 |
| [gosick](pages/gosick.md) | 1 |
| [gravity_daze](pages/gravity_daze.md) | 1 |
| [guilty_crown](pages/guilty_crown.md) | 1 |
| [hacka_doll](pages/hacka_doll.md) | 1 |
| [haiyore!_nyaruko-san](pages/haiyore_nyaruko_san.md) | 1 |
| [hataraku_maou-sama!](pages/hataraku_maou_sama.md) | 1 |
| [healin'_good_precure](pages/healin_good_precure.md) | 1 |
| [hellsing](pages/hellsing.md) | 1 |
| [highschool_of_the_dead](pages/highschool_of_the_dead.md) | 1 |
| [hinata_channel](pages/hinata_channel.md) | 1 |
| [hirogaru_sky!_precure](pages/hirogaru_sky_precure.md) | 1 |
| [holostars](pages/holostars.md) | 1 |
| [ichigo_mashimaro](pages/ichigo_mashimaro.md) | 1 |
| [ijiranaide_nagatoro-san](pages/ijiranaide_nagatoro_san.md) | 1 |
| [ikkitousen](pages/ikkitousen.md) | 1 |
| [inu_x_boku_ss](pages/inu_x_boku_ss.md) | 1 |
| [jigoku_shoujo](pages/jigoku_shoujo.md) | 1 |
| [journey_to_the_west](pages/journey_to_the_west.md) | 1 |
| [kaiji](pages/kaiji.md) | 1 |
| [kannagi](pages/kannagi.md) | 1 |
| [kanojo_okarishimasu](pages/kanojo_okarishimasu.md) | 1 |
| [kara_no_kyoukai](pages/kara_no_kyoukai.md) | 1 |
| [karakai_jouzu_no_takagi-san](pages/karakai_jouzu_no_takagi_san.md) | 1 |
| [katawa_shoujo](pages/katawa_shoujo.md) | 1 |
| [katekyo_hitman_reborn!](pages/katekyo_hitman_reborn.md) | 1 |
| [kidou_senkan_nadesico](pages/kidou_senkan_nadesico.md) | 1 |
| [kimi_no_na_wa.](pages/kimi_no_na_wa.md) | 1 |
| [kino_no_tabi](pages/kino_no_tabi.md) | 1 |
| [kizuna_ai_inc.](pages/kizuna_ai_inc.md) | 1 |
| [kodomo_no_jikan](pages/kodomo_no_jikan.md) | 1 |
| [komi-san_wa_komyushou_desu](pages/komi_san_wa_komyushou_desu.md) | 1 |
| [koutetsujou_no_kabaneri](pages/koutetsujou_no_kabaneri.md) | 1 |
| [kyoukai_no_kanata](pages/kyoukai_no_kanata.md) | 1 |
| [limbus_company](pages/limbus_company.md) | 1 |
| [little_red_riding_hood](pages/little_red_riding_hood.md) | 1 |
| [little_witch_nobeta](pages/little_witch_nobeta.md) | 1 |
| [lord_of_the_mysteries](pages/lord_of_the_mysteries.md) | 1 |
| [mabinogi](pages/mabinogi.md) | 1 |
| [magi_the_labyrinth_of_magic](pages/magi_the_labyrinth_of_magic.md) | 1 |
| [majo_no_tabitabi](pages/majo_no_tabitabi.md) | 1 |
| [maoyuu_maou_yuusha](pages/maoyuu_maou_yuusha.md) | 1 |
| [metal_gear_(series)](pages/metal_gear_series.md) | 1 |
| [metal_slug](pages/metal_slug.md) | 1 |
| [minecraft](pages/minecraft.md) | 1 |
| [miraculous_ladybug](pages/miraculous_ladybug.md) | 1 |
| [mirai_nikki](pages/mirai_nikki.md) | 1 |
| [mononoke_hime](pages/mononoke_hime.md) | 1 |
| [mother_(game)](pages/mother_game.md) | 1 |
| [musaigen_no_phantom_world](pages/musaigen_no_phantom_world.md) | 1 |
| [nanatsu_no_taizai](pages/nanatsu_no_taizai.md) | 1 |
| [new_horizon](pages/new_horizon.md) | 1 |
| [nier:automata](pages/nier_automata.md) | 1 |
| [nisekoi](pages/nisekoi.md) | 1 |
| [no_game_no_life](pages/no_game_no_life.md) | 1 |
| [odin_sphere](pages/odin_sphere.md) | 1 |
| [ookami_(game)](pages/ookami_game.md) | 1 |
| [oshiete!_galko-chan](pages/oshiete_galko_chan.md) | 1 |
| [overlord_(maruyama)](pages/overlord_maruyama.md) | 1 |
| [pangya](pages/pangya.md) | 1 |
| [phantasy_star](pages/phantasy_star.md) | 1 |
| [princess_principal](pages/princess_principal.md) | 1 |
| [queen's_blade](pages/queen_s_blade.md) | 1 |
| [rakuen_tsuihou](pages/rakuen_tsuihou.md) | 1 |
| [ryuuko_no_ken](pages/ryuuko_no_ken.md) | 1 |
| [sana_channel](pages/sana_channel.md) | 1 |
| [saya_no_uta](pages/saya_no_uta.md) | 1 |
| [scott_pilgrim_(series)](pages/scott_pilgrim_series.md) | 1 |
| [seiken_densetsu](pages/seiken_densetsu.md) | 1 |
| [seishun_buta_yarou](pages/seishun_buta_yarou.md) | 1 |
| [sen_to_chihiro_no_kamikakushi](pages/sen_to_chihiro_no_kamikakushi.md) | 1 |
| [senjou_no_valkyria_(series)](pages/senjou_no_valkyria_series.md) | 1 |
| [serial_experiments_lain](pages/serial_experiments_lain.md) | 1 |
| [sewayaki_kitsune_no_senko-san](pages/sewayaki_kitsune_no_senko_san.md) | 1 |
| [shantae_(series)](pages/shantae_series.md) | 1 |
| [shingeki_no_bahamut](pages/shingeki_no_bahamut.md) | 1 |
| [shinryaku!_ikamusume](pages/shinryaku_ikamusume.md) | 1 |
| [shirobako](pages/shirobako.md) | 1 |
| [shokugeki_no_souma](pages/shokugeki_no_souma.md) | 1 |
| [shugo_chara!](pages/shugo_chara.md) | 1 |
| [slam_dunk_(series)](pages/slam_dunk_series.md) | 1 |
| [slayers](pages/slayers.md) | 1 |
| [soul_eater](pages/soul_eater.md) | 1 |
| [soulcalibur](pages/soulcalibur.md) | 1 |
| [spice_and_wolf](pages/spice_and_wolf.md) | 1 |
| [summer_pockets](pages/summer_pockets.md) | 1 |
| [synthesizer_v](pages/synthesizer_v.md) | 1 |
| [taimanin_(series)](pages/taimanin_series.md) | 1 |
| [tamako_market](pages/tamako_market.md) | 1 |
| [tate_no_yuusha_no_nariagari](pages/tate_no_yuusha_no_nariagari.md) | 1 |
| [tensei_oujo_to_tensai_reijou_no_mahou_kakumei](pages/tensei_oujo_to_tensai_reijou_no_mahou_kakumei.md) | 1 |
| [tensei_shitara_slime_datta_ken](pages/tensei_shitara_slime_datta_ken.md) | 1 |
| [the_amazing_digital_circus](pages/the_amazing_digital_circus.md) | 1 |
| [the_moon_studio](pages/the_moon_studio.md) | 1 |
| [the_ring](pages/the_ring.md) | 1 |
| [transformers](pages/transformers.md) | 1 |
| [tsugu_(vtuber)](pages/tsugu_vtuber.md) | 1 |
| [urusei_yatsura](pages/urusei_yatsura.md) | 1 |
| [utau](pages/utau.md) | 1 |
| [va-11_hall-a](pages/va_11_hall_a.md) | 1 |
| [violet_evergarden_(series)](pages/violet_evergarden_series.md) | 1 |
| [vividred_operation](pages/vividred_operation.md) | 1 |
| [voicevox](pages/voicevox.md) | 1 |
| [voms](pages/voms.md) | 1 |
| [vspo!](pages/vspo.md) | 1 |
| [warcraft](pages/warcraft.md) | 1 |
| [warioware](pages/warioware.md) | 1 |
| [warship_girls_r](pages/warship_girls_r.md) | 1 |
| [witches_of_africa](pages/witches_of_africa.md) | 1 |
| [xenosaga](pages/xenosaga.md) | 1 |
| [yagate_kimi_ni_naru](pages/yagate_kimi_ni_naru.md) | 1 |
| [yosuga_no_sora](pages/yosuga_no_sora.md) | 1 |
| [yotsubato!](pages/yotsubato.md) | 1 |
| [youjo_senki](pages/youjo_senki.md) | 1 |
| [youkai_watch](pages/youkai_watch.md) | 1 |
| [yume_nikki](pages/yume_nikki.md) | 1 |
| [yuusha_de_aru](pages/yuusha_de_aru.md) | 1 |
| [zero_no_tsukaima](pages/zero_no_tsukaima.md) | 1 |
| [(unknown)](pages/unknown.md) | 4 |
|
polinaeterna/yat | polinaeterna | "2024-03-07T17:11:23Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T17:08:19Z" | ---
dataset_info:
features:
- name: blob_id
dtype: string
- name: directory_id
dtype: string
- name: path
dtype: string
- name: content_id
dtype: string
- name: detected_licenses
sequence: string
- name: license_type
dtype: string
- name: repo_name
dtype: string
- name: snapshot_id
dtype: string
- name: revision_id
dtype: string
- name: branch_name
dtype: string
- name: visit_date
dtype: timestamp[ns]
- name: revision_date
dtype: timestamp[ns]
- name: committer_date
dtype: timestamp[ns]
- name: github_id
dtype: int64
- name: star_events_count
dtype: int64
- name: fork_events_count
dtype: int64
- name: gha_license_id
dtype: string
- name: gha_event_created_at
dtype: timestamp[ns]
- name: gha_created_at
dtype: timestamp[ns]
- name: gha_language
dtype: string
- name: src_encoding
dtype: string
- name: language
dtype: string
- name: is_vendor
dtype: bool
- name: is_generated
dtype: bool
- name: length_bytes
dtype: int64
- name: extension
dtype: string
splits:
- name: train
num_bytes: 4047876716
num_examples: 8865479
download_size: 2731723775
dataset_size: 4047876716
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
loubnabnl/comsop_450_samples_detailed | loubnabnl | "2024-03-14T22:48:54Z" | 0 | 0 | [
"language:en",
"croissant",
"region:us"
] | null | "2024-03-07T17:11:28Z" | ---
language:
- en
dataset_info:
features:
- name: id
dtype: int64
- name: prompt
dtype: string
- name: text_token_length
dtype: int64
- name: original_text
dtype: string
- name: seed_data
dtype: string
- name: format
dtype: string
- name: audience
dtype: string
- name: generated_samples
sequence: string
- name: evaluation_prompt
dtype: string
- name: sentences
sequence: string
- name: completion
dtype: string
- name: token_length
dtype: int64
- name: passage_score
dtype: float64
- name: sentences_and_scores
list:
- name: score
dtype: float64
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 13709325
num_examples: 450
download_size: 8178189
dataset_size: 13709325
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
aureliojafer/twitter_dataset_1709832136 | aureliojafer | "2024-03-07T17:22:18Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T17:22:16Z" | ---
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
splits:
- name: train
num_bytes: 61810
num_examples: 200
download_size: 39919
dataset_size: 61810
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Kamyar-zeinalipour/AFG_Llama | Kamyar-zeinalipour | "2024-03-07T18:04:59Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T17:28:20Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 26594354
num_examples: 8020
- name: test
num_bytes: 949855
num_examples: 300
download_size: 9974810
dataset_size: 27544209
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
Kamyar-zeinalipour/AFG_Mistral | Kamyar-zeinalipour | "2024-03-07T18:05:32Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T17:32:05Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 25744234
num_examples: 8020
- name: test
num_bytes: 918055
num_examples: 300
download_size: 9865607
dataset_size: 26662289
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
Ahaa1234/SMPDATASET | Ahaa1234 | "2024-03-07T18:11:33Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2024-03-07T17:36:01Z" | ---
license: mit
---
|
vnnm/MCC | vnnm | "2024-03-07T17:50:16Z" | 0 | 0 | [
"task_categories:question-answering",
"moral",
"consistency",
"region:us"
] | [
"question-answering"
] | "2024-03-07T17:45:07Z" | ---
task_categories:
- question-answering
tags:
- moral
- consistency
---
# MCC
Despite recent advancements showcasing the impressive capabilities of Large Language Models (LLMs) in conversational systems, we show that even state-of-the-art LLMs are morally inconsistent in their generations, questioning their reliability (and trustworthiness in general). Prior works in LLM evaluation focus on developing ground-truth data to measure accuracy on specific tasks. However, for moral scenarios that often lack universally agreed-upon answers, consistency in model responses becomes crucial for their reliability. To this extent, we construct the Moral Consistency Corpus (MCC), containing 50K moral questions, responses to them by LLMs, and the RoTs that these models followed.
|
aureliojafer/twitter_dataset_1709833834 | aureliojafer | "2024-03-07T17:50:36Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T17:50:34Z" | ---
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
splits:
- name: train
num_bytes: 70117
num_examples: 226
download_size: 44234
dataset_size: 70117
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
aureliojafer/twitter_dataset_1709834543 | aureliojafer | "2024-03-07T18:02:25Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:02:23Z" | ---
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
splits:
- name: train
num_bytes: 63129
num_examples: 205
download_size: 40569
dataset_size: 63129
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
aureliojafer/twitter_dataset_1709834699 | aureliojafer | "2024-03-07T18:05:01Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:04:59Z" | ---
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
splits:
- name: train
num_bytes: 61719
num_examples: 200
download_size: 39901
dataset_size: 61719
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
hassanraha/multillm-route-instruct | hassanraha | "2024-03-12T19:43:54Z" | 0 | 0 | [
"license:apache-2.0",
"croissant",
"region:us"
] | null | "2024-03-07T18:07:39Z" | ---
license: apache-2.0
---
|
yangwang825/sst2-textfooler-7 | yangwang825 | "2024-03-07T18:10:37Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:10:34Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: augment
dtype: string
splits:
- name: train
num_bytes: 7161080
num_examples: 54359
- name: validation
num_bytes: 110096
num_examples: 872
- name: test
num_bytes: 226340
num_examples: 1821
download_size: 2029077
dataset_size: 7497516
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
bulkbeings/patient-alumini-v1 | bulkbeings | "2024-03-07T18:13:01Z" | 0 | 0 | [
"license:mit",
"croissant",
"region:us"
] | null | "2024-03-07T18:12:36Z" | ---
license: mit
---
|
wilsonslz/MARCIOSOLNASCENTE | wilsonslz | "2024-03-07T18:13:20Z" | 0 | 0 | [
"license:openrail",
"croissant",
"region:us"
] | null | "2024-03-07T18:12:50Z" | ---
license: openrail
---
|
zicsx/mC4-Hindi-Cleaned-3.0 | zicsx | "2024-03-13T15:38:33Z" | 0 | 0 | [
"language:hi",
"croissant",
"region:us"
] | null | "2024-03-07T18:17:57Z" | ---
language:
- hi
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 21685650761.28769
num_examples: 8491564
download_size: 17395130554
dataset_size: 21685650761.28769
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mC4-Hindi-Cleaned-3.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Sntng/drone_view_augment | Sntng | "2024-03-07T18:28:32Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:27:43Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 569863871.99
num_examples: 1035
- name: validation
num_bytes: 27419735.0
num_examples: 49
download_size: 94602473
dataset_size: 597283606.99
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
roy29fuku/sample-large | roy29fuku | "2024-03-07T18:28:56Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:28:12Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: "data/*.parquet"
---
[Hugging Face データセット作成チュートリアル](https://colab.research.google.com/drive/11rl9Wie22JVIB5bjj3W6bnygfWFlNijW#scrollTo=XXlFnTh04WLc)で用いるサンプルデータです。
データはPMC OS Subsetの[oa_comm_xml.PMC010xxxxxx.baseline.2023-12-18.tar.gz](https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_bulk/oa_comm/xml/)から約40万件分の論文のAbstractを抽出して作成しました。 |
sezenkarakus/image-description-dataset | sezenkarakus | "2024-03-08T12:38:25Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:32:00Z" | ---
dataset_info:
features:
- name: file_name
dtype: string
- name: text
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 5780469153.75
num_examples: 26002
download_size: 5774050664
dataset_size: 5780469153.75
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
jondewoo/analytical-cubism | jondewoo | "2024-03-07T18:42:26Z" | 0 | 0 | [
"license:cc0-1.0",
"croissant",
"region:us"
] | null | "2024-03-07T18:35:07Z" | ---
license: cc0-1.0
---
|
aborruso/open_cup_complessivo | aborruso | "2024-03-07T18:38:09Z" | 0 | 0 | [
"license:cc-by-4.0",
"croissant",
"region:us"
] | null | "2024-03-07T18:35:47Z" | ---
license: cc-by-4.0
---
|
aureliojafer/twitter_dataset_1709836673 | aureliojafer | "2024-03-07T18:37:55Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:37:53Z" | ---
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
splits:
- name: train
num_bytes: 68194
num_examples: 222
download_size: 43576
dataset_size: 68194
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
anton96vice/samantha-1.1-uncensored-split-and-prepared | anton96vice | "2024-03-07T20:08:17Z" | 0 | 1 | [
"license:apache-2.0",
"croissant",
"region:us"
] | null | "2024-03-07T18:39:36Z" | ---
license: apache-2.0
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 9760644.749754662
num_examples: 1630
- name: test
num_bytes: 2443155.250245339
num_examples: 408
download_size: 6418929
dataset_size: 12203800.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Samantha-1.1-instructed-uncensored prepared for training
## Dataset Details
### Dataset Description
This dataset comprises a rich collection of uncensored, instruction-based interactions with Samantha, a virtual assistant designed to perform tasks based on textual commands. Each entry is a detailed record of an instruction provided to Samantha, the input she received, and the output she produced, accompanied by additional textual context. The dataset is intended for use in training and evaluating advanced natural language processing and understanding systems, focusing on interpreting and executing a wide range of instructions accurately.
- **Curated by:** [Anton Vice](https://github.com/antonvice)
- **Language(s) (NLP):** ENGLISH
- **License:** Apache
### Dataset Sources [optional]
- **Repository:** [HF](https://huggingface.co/datasets/anton96vice/samantha-1.1-uncensored-split-and-prepare)
## Uses
For training instruction based personal assistant based on movie "Her"
### Direct Use
same as any dataset
### Out-of-Scope Use
Personal relationships
## Dataset Structure
Train and test data with columns:
instruction
User query
AI Response
## Dataset Creation
### Curation Rationale
reprepare dataset for training personal assistants without the hassle of preparing dataset
### Source Data
[SOURCE](https://huggingface.co/datasets/digitalpipelines/samantha-1.1-uncensored)
|
aureliojafer/twitter_dataset_1709836817 | aureliojafer | "2024-03-07T18:40:19Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T18:40:17Z" | ---
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
splits:
- name: train
num_bytes: 60923
num_examples: 200
download_size: 39771
dataset_size: 60923
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
deepghs/csip_v1 | deepghs | "2024-03-07T20:31:04Z" | 0 | 0 | [
"task_categories:zero-shot-image-classification",
"size_categories:100K<n<1M",
"art",
"region:us"
] | [
"zero-shot-image-classification"
] | "2024-03-07T18:51:48Z" | ---
task_categories:
- zero-shot-image-classification
tags:
- art
size_categories:
- 100K<n<1M
--- |
Cognitive-Lab/Aya_Malayalam | Cognitive-Lab | "2024-03-08T05:35:45Z" | 0 | 0 | [
"language:en",
"language:ml",
"license:apache-2.0",
"arxiv:2402.06619",
"region:us"
] | null | "2024-03-07T19:02:03Z" | ---
dataset_info:
- config_name: complete_dataset
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 4620114817
num_examples: 3576211
download_size: 1460336793
dataset_size: 4620114817
- config_name: templated_indic_paraphrase
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 802090
num_examples: 1001
download_size: 265061
dataset_size: 802090
- config_name: templated_indic_sentiment
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 826377
num_examples: 1156
download_size: 326454
dataset_size: 826377
- config_name: templated_xlel_wd
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 2871116
num_examples: 1689
download_size: 1060347
dataset_size: 2871116
- config_name: translated_adversarial_qa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 25814767
num_examples: 10000
download_size: 6284748
dataset_size: 25814767
- config_name: translated_cnn_dailymail
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 677030150
num_examples: 100000
download_size: 241050258
dataset_size: 677030150
- config_name: translated_dolly
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 35119170
num_examples: 14808
download_size: 13037728
dataset_size: 35119170
- config_name: translated_flan_coqa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 47671952
num_examples: 6409
download_size: 17244180
dataset_size: 47671952
- config_name: translated_flan_cot
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 114447647
num_examples: 91910
download_size: 37991855
dataset_size: 114447647
- config_name: translated_flan_gem_wiki
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 192780434
num_examples: 27147
download_size: 64897862
dataset_size: 192780434
- config_name: translated_flan_lambada
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 3093841
num_examples: 4279
download_size: 1077008
dataset_size: 3093841
- config_name: translated_flan_qa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 525363
num_examples: 540
download_size: 177982
dataset_size: 525363
- config_name: translated_hotpotqa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 178593379
num_examples: 355476
download_size: 53833798
dataset_size: 178593379
- config_name: translated_joke_explaination
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 1591191
num_examples: 754
download_size: 311948
dataset_size: 1591191
- config_name: translated_mintaka
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 6449130
num_examples: 14000
download_size: 1045790
dataset_size: 6449130
- config_name: translated_nqopen
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 59860846
num_examples: 175850
download_size: 16531375
dataset_size: 59860846
- config_name: translated_paws
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 51863293
num_examples: 49401
download_size: 6932449
dataset_size: 51863293
- config_name: translated_piqa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 20834854
num_examples: 16113
download_size: 5497560
dataset_size: 20834854
- config_name: translated_soda
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 1156977459
num_examples: 1191582
download_size: 318570546
dataset_size: 1156977459
- config_name: translated_wiki_split
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 1148240780
num_examples: 989944
download_size: 344485054
dataset_size: 1148240780
- config_name: translated_wikiqa
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 814069
num_examples: 1040
download_size: 283724
dataset_size: 814069
- config_name: translated_xlel_wd
features:
- name: id
dtype: int64
- name: split
dtype: string
- name: targets
dtype: string
- name: language
dtype: string
- name: template_id
dtype: int64
- name: inputs
dtype: string
- name: dataset_name
dtype: string
- name: script
dtype: string
- name: task_type
dtype: string
- name: sub_dataset_name
dtype: string
splits:
- name: train
num_bytes: 893906909
num_examples: 523112
download_size: 328997341
dataset_size: 893906909
configs:
- config_name: complete_dataset
data_files:
- split: train
path: complete_dataset/train-*
- config_name: templated_indic_paraphrase
data_files:
- split: train
path: templated_indic_paraphrase/train-*
- config_name: templated_indic_sentiment
data_files:
- split: train
path: templated_indic_sentiment/train-*
- config_name: templated_xlel_wd
data_files:
- split: train
path: templated_xlel_wd/train-*
- config_name: translated_adversarial_qa
data_files:
- split: train
path: translated_adversarial_qa/train-*
- config_name: translated_cnn_dailymail
data_files:
- split: train
path: translated_cnn_dailymail/train-*
- config_name: translated_dolly
data_files:
- split: train
path: translated_dolly/train-*
- config_name: translated_flan_coqa
data_files:
- split: train
path: translated_flan_coqa/train-*
- config_name: translated_flan_cot
data_files:
- split: train
path: translated_flan_cot/train-*
- config_name: translated_flan_gem_wiki
data_files:
- split: train
path: translated_flan_gem_wiki/train-*
- config_name: translated_flan_lambada
data_files:
- split: train
path: translated_flan_lambada/train-*
- config_name: translated_flan_qa
data_files:
- split: train
path: translated_flan_qa/train-*
- config_name: translated_hotpotqa
data_files:
- split: train
path: translated_hotpotqa/train-*
- config_name: translated_joke_explaination
data_files:
- split: train
path: translated_joke_explaination/train-*
- config_name: translated_mintaka
data_files:
- split: train
path: translated_mintaka/train-*
- config_name: translated_nqopen
data_files:
- split: train
path: translated_nqopen/train-*
- config_name: translated_paws
data_files:
- split: train
path: translated_paws/train-*
- config_name: translated_piqa
data_files:
- split: train
path: translated_piqa/train-*
- config_name: translated_soda
data_files:
- split: train
path: translated_soda/train-*
- config_name: translated_wiki_split
data_files:
- split: train
path: translated_wiki_split/train-*
- config_name: translated_wikiqa
data_files:
- split: train
path: translated_wikiqa/train-*
- config_name: translated_xlel_wd
data_files:
- split: train
path: translated_xlel_wd/train-*
license: apache-2.0
language:
- en
- ml
---
# Aya_Malayalam
This Dataset is curated from the original [Aya-Collection](https://huggingface.co/datasets/CohereForAI/aya_collection) dataset that was open-sourced by [Cohere](https://cohere.com/research) under the [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license.
The Aya Collection is a massive multilingual collection comprising 513 million instances of prompts and completions that cover a wide range of tasks. This collection uses instruction-style templates from fluent speakers and applies them to a curated list of datasets. It also includes translations of instruction-style datasets into 101 languages. The Aya Dataset, a human-curated multilingual instruction and response dataset, is part of this collection. Refer to our paper for more details about the collection.
### Motivations & Intentions
The original dataset is large and more task-specific than language-specific. To carry out a task specific to the Indic language, one would previously have needed to download the entire dataset (~600 GB) and filter it.
As we were training an Indic LLm internally, we filtered the dataset by language and curated this dataset.
You can find all the Indic-language specific datasets - [here](https://huggingface.co/collections/Cognitive-Lab/aya-indic-suite-65eaa0e34a2307f30bbd55e5).
## **Data Instances**
An example of a `train` instance looks as follows:
```yaml
{'id': 246001,
'inputs': 'The following query in English is taken from the geography category. What could be the answer to the question?\nWhat is the seventh tallest mountain in North America?',
'targets': 'The answer is Mount Lucania.',
'dataset_name': 'Mintaka-inst',
'sub_dataset_name': '-',
'task_type': 'question-answering',
'template_id': 3,
'language': 'eng',
'split': 'train',
'script': 'Latn'
}
```
## **Data Fields**
The data fields are the same among all splits:
- `id:` Unique id of the data point
- `inputs:` Prompt or input to the language model.
- `targets:` Completion or output of the language model.
- `dataset_name:` The name of the source dataset that the data point was taken from
- `sub_dataset_name:` If the source is a collection, this field indicates which part of that collection the data point was taken from. If it is not a collection, this field is left blank.
- `task_type:` The task type that this conversation belongs to.
- `template_id`: The id of the template applied to this data point.
- `language:` The ISO code of the dialect of the conversation.
- `script:` The script of the language.
- `split:` Indicates whether the data point is part of the `train` or the `test` split.
## **Licensing Information**
This dataset can be used for any purpose, whether academic or commercial, under the terms of the **[Apache 2.0](https://opensource.org/license/apache-2-0)** License.
Citation
```yaml
@misc{singh2024aya,
title={Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning},
author={Shivalika Singh and Freddie Vargus and Daniel Dsouza and Börje F. Karlsson and Abinaya Mahendiran and Wei-Yin Ko and Herumb Shandilya and Jay Patel and Deividas Mataciunas and Laura OMahony and Mike Zhang and Ramith Hettiarachchi and Joseph Wilson and Marina Machado and Luisa Souza Moura and Dominik Krzemiński and Hakimeh Fadaei and Irem Ergün and Ifeoma Okoh and Aisha Alaagib and Oshan Mudannayake and Zaid Alyafeai and Vu Minh Chien and Sebastian Ruder and Surya Guthikonda and Emad A. Alghamdi and Sebastian Gehrmann and Niklas Muennighoff and Max Bartolo and Julia Kreutzer and Ahmet Üstün and Marzieh Fadaee and Sara Hooker},
year={2024},
eprint={2402.06619},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|
taesiri/fsmbench_what_will_be_the_state_gemini | taesiri | "2024-03-11T16:35:34Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T19:05:19Z" | ---
dataset_info:
features:
- name: query_id
dtype: string
- name: fsm_id
dtype: string
- name: fsm_json
dtype: string
- name: difficulty_level
dtype: int64
- name: transition_matrix
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: substring_index
dtype: int64
splits:
- name: validation
num_bytes: 8972710
num_examples: 6322
download_size: 486790
dataset_size: 8972710
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
---
|
Astral-P/Irelia | Astral-P | "2024-03-07T19:22:32Z" | 0 | 0 | [
"license:wtfpl",
"region:us"
] | null | "2024-03-07T19:20:20Z" | ---
license: wtfpl
---
|
vr1999/mini-Mental_Health_conv | vr1999 | "2024-03-07T19:22:05Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T19:22:03Z" | ---
dataset_info:
features:
- name: questionTitle
dtype: string
- name: answerText
dtype: string
splits:
- name: train
num_bytes: 1533188
num_examples: 1000
download_size: 876026
dataset_size: 1533188
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
argilla/10k_prompts_SPIN_iter3_zephyr_top | argilla | "2024-03-07T19:23:01Z" | 0 | 2 | [
"croissant",
"region:us"
] | null | "2024-03-07T19:22:58Z" | ---
dataset_info:
features:
- name: generated
list:
- name: content
dtype: string
- name: role
dtype: string
- name: real
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 8876489.624454148
num_examples: 1648
- name: test
num_bytes: 991064.3755458515
num_examples: 184
download_size: 5547439
dataset_size: 9867554.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
draco976/wikipedia-bookcorpus | draco976 | "2024-03-09T09:52:42Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T19:24:36Z" | ---
dataset_info:
features:
- name: text
sequence: string
splits:
- name: train
num_bytes: 39537241395.73483
num_examples: 9463277
- name: test
num_bytes: 118971735.26516715
num_examples: 28476
download_size: 12339960041
dataset_size: 39656213131.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
mfidabel/common_voice_16_1_semisupervised | mfidabel | "2024-03-25T02:20:51Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T19:26:45Z" | ---
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
- name: predicted_sentence
dtype: string
splits:
- name: whisper.medium
num_bytes: 8271758359.625
num_examples: 18779
- name: whisper.small
num_bytes: 2763174559.625
num_examples: 18779
- name: whisper.large.v3
num_bytes: 8271776000.625
num_examples: 18779
- name: whisper.tiny
num_bytes: 8271831240.625
num_examples: 18779
download_size: 23466393916
dataset_size: 27578540160.5
configs:
- config_name: default
data_files:
- split: whisper.medium
path: data/whisper.medium-*
- split: whisper.small
path: data/whisper.small-*
- split: whisper.large.v3
path: data/whisper.large.v3-*
- split: whisper.tiny
path: data/whisper.tiny-*
---
|
ramixpe/rfc_json | ramixpe | "2024-03-07T20:01:25Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:01:22Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 8336
num_examples: 46
download_size: 3942
dataset_size: 8336
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
danielroncel/dstc2_dialogues_transcription_processed | danielroncel | "2024-03-07T20:27:19Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:16:40Z" | ---
dataset_info:
features:
- name: session_id
dtype: string
- name: turn_index
dtype: int64
- name: audio_file
dtype: string
- name: transcript
dtype: string
- name: chat_history_last_9
dtype: string
- name: chat_history_last_9_tokenized
sequence: int64
- name: speaker_text_last_9_tokenized
sequence: int64
- name: attention_mask
sequence: int64
- name: label_semantics
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 197900954
num_examples: 22266
download_size: 3556149
dataset_size: 197900954
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Nkumar5/FMARock | Nkumar5 | "2024-03-07T20:18:38Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:17:39Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: audio_file
dtype: string
- name: slice
dtype: int16
splits:
- name: train
num_bytes: 79535716.375
num_examples: 1805
download_size: 79512581
dataset_size: 79535716.375
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
zliu333/truck_at_port3 | zliu333 | "2024-03-07T20:18:33Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:17:44Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 67546834.0
num_examples: 45
download_size: 67529720
dataset_size: 67546834.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Nkumar5/FMAFolk | Nkumar5 | "2024-03-07T20:20:41Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:19:27Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: audio_file
dtype: string
- name: slice
dtype: int16
splits:
- name: train
num_bytes: 169147233.5
num_examples: 3860
download_size: 169095201
dataset_size: 169147233.5
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Nkumar5/FMAHiphop | Nkumar5 | "2024-03-07T20:22:12Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:19:37Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: audio_file
dtype: string
- name: slice
dtype: int16
splits:
- name: train
num_bytes: 194680502.375
num_examples: 4357
download_size: 194609901
dataset_size: 194680502.375
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
positivethoughts/merge_rewrite_13.3k | positivethoughts | "2024-03-07T20:33:09Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:26:01Z" | ---
dataset_info:
features:
- name: rewrite_prompt
dtype: string
- name: rewritten_text
dtype: string
- name: original_text
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 25600526
num_examples: 13365
download_size: 16398467
dataset_size: 25600526
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
1.2k + 2.1k + 10k |
gsh3729/coco_cropped | gsh3729 | "2024-03-09T05:43:23Z" | 0 | 0 | [
"croissant",
"region:us"
] | null | "2024-03-07T20:48:45Z" | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
struct:
- name: bytes
dtype: binary
- name: width
dtype: int64
- name: height
dtype: int64
splits:
- name: train
num_bytes: 113905
num_examples: 8
download_size: 119586
dataset_size: 113905
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|