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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: DataFilesNotFoundError Message: No (supported) data files found in Sadanto3933/ai2_arc Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 72, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in Sadanto3933/ai2_arc
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Dataset Card for "ai2_arc"
Usage
from datasets import load_dataset
dataset=load_dataset(
"Sadanto3933/ai2_arc",
"ARC-Challenge",
split="train",
)
# ...
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
ARC-Challenge
An example of 'train' looks as follows.
{
"answerKey": "B",
"choices": {
"label": ["A", "B", "C", "D"],
"text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
},
"id": "Mercury_SC_405487",
"question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
ARC-Easy
- Size of downloaded dataset files: 680.84 MB
- Size of the generated dataset: 1.45 MB
- Total amount of disk used: 682.29 MB
An example of 'train' looks as follows.
{
"answerKey": "B",
"choices": {
"label": ["A", "B", "C", "D"],
"text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
},
"id": "Mercury_SC_405487",
"question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
Data Fields
The data fields are the same among all splits.
ARC-Challenge
id
: astring
feature.question
: astring
feature.choices
: a dictionary feature containing:text
: astring
feature.label
: astring
feature.
answerKey
: astring
feature.
ARC-Easy
id
: astring
feature.question
: astring
feature.choices
: a dictionary feature containing:text
: astring
feature.label
: astring
feature.
answerKey
: astring
feature.
Dataset Creation
Curation Rationale
Citation Information
@article{allenai:arc,
author = {Peter Clark and Isaac Cowhey and Oren Etzioni and Tushar Khot and
Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
title = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
journal = {arXiv:1803.05457v1},
year = {2018},
}
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