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README.md

@@ -1,270 +0,0 @@
----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- en
-language_bcp47:
-- en-US
-license:
-- cc-by-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- question-answering
-task_ids:
-- open-domain-qa
-- multiple-choice-qa
-paperswithcode_id: null
-pretty_name: Ai2Arc
-dataset_info:
-- config_name: ARC-Challenge
-  features:
-  - name: id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: choices
-    sequence:
-    - name: text
-      dtype: string
-    - name: label
-      dtype: string
-  - name: answerKey
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 351888
-    num_examples: 1119
-  - name: test
-    num_bytes: 377740
-    num_examples: 1172
-  - name: validation
-    num_bytes: 97254
-    num_examples: 299
-  download_size: 680841265
-  dataset_size: 826882
-- config_name: ARC-Easy
-  features:
-  - name: id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: choices
-    sequence:
-    - name: text
-      dtype: string
-    - name: label
-      dtype: string
-  - name: answerKey
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 623254
-    num_examples: 2251
-  - name: test
-    num_bytes: 661997
-    num_examples: 2376
-  - name: validation
-    num_bytes: 158498
-    num_examples: 570
-  download_size: 680841265
-  dataset_size: 1443749
----
-
-# Dataset Card for "ai2_arc"
-
-## 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:** [https://allenai.org/data/arc](https://allenai.org/data/arc)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 1298.60 MB
-- **Size of the generated dataset:** 2.17 MB
-- **Total amount of disk used:** 1300.77 MB
-
-### Dataset Summary
-
-A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
- advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
- only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
- including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### ARC-Challenge
-
-- **Size of downloaded dataset files:** 649.30 MB
-- **Size of the generated dataset:** 0.79 MB
-- **Total amount of disk used:** 650.09 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?"
-}
-```
-
-#### ARC-Easy
-
-- **Size of downloaded dataset files:** 649.30 MB
-- **Size of the generated dataset:** 1.38 MB
-- **Total amount of disk used:** 650.68 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`: a `string` feature.
-- `question`: a `string` feature.
-- `choices`: a dictionary feature containing:
-  - `text`: a `string` feature.
-  - `label`: a `string` feature.
-- `answerKey`: a `string` feature.
-
-#### ARC-Easy
-- `id`: a `string` feature.
-- `question`: a `string` feature.
-- `choices`: a dictionary feature containing:
-  - `text`: a `string` feature.
-  - `label`: a `string` feature.
-- `answerKey`: a `string` feature.
-
-### Data Splits
-
-|    name     |train|validation|test|
-|-------------|----:|---------:|---:|
-|ARC-Challenge| 1119|       299|1172|
-|ARC-Easy     | 2251|       570|2376|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### 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},
-}
-
-```
-
-
-### Contributions
-
-Thanks to [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.

ai2_arc.py

@@ -1,132 +0,0 @@
-"""TODO(arc): Add a description here."""
-
-
-import json
-import os
-
-import datasets
-
-
-# TODO(ai2_arc): BibTeX citation
-_CITATION = """\
-@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},
-}
-"""
-
-# TODO(ai2_arc):
-_DESCRIPTION = """\
-A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
- advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
- only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
- including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.
-"""
-
-_URL = "https://s3-us-west-2.amazonaws.com/ai2-website/data/ARC-V1-Feb2018.zip"
-
-
-class Ai2ArcConfig(datasets.BuilderConfig):
-    """BuilderConfig for Ai2ARC."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Ai2Arc.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(Ai2ArcConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-
-
-class Ai2Arc(datasets.GeneratorBasedBuilder):
-    """TODO(arc): Short description of my dataset."""
-
-    # TODO(arc): Set up version.
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        Ai2ArcConfig(
-            name="ARC-Challenge",
-            description="""\
-          Challenge Set of 2590 “hard” questions (those that both a retrieval and a co-occurrence method fail to answer correctly)
-          """,
-        ),
-        Ai2ArcConfig(
-            name="ARC-Easy",
-            description="""\
-          Easy Set of 5197 questions
-          """,
-        ),
-    ]
-
-    def _info(self):
-        # TODO(ai2_arc): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "choices": datasets.features.Sequence(
-                        {"text": datasets.Value("string"), "label": datasets.Value("string")}
-                    ),
-                    "answerKey": datasets.Value("string")
-                    # These are the features of your dataset like images, labels ...
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://allenai.org/data/arc",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(ai2_arc): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_dir = dl_manager.download_and_extract(_URL)
-        data_dir = os.path.join(dl_dir, "ARC-V1-Feb2018-2")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Train.jsonl")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Test.jsonl")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Dev.jsonl")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(ai2_arc): Yields (key, example) tuples from the dataset
-        with open(filepath, encoding="utf-8") as f:
-            for row in f:
-                data = json.loads(row)
-                answerkey = data["answerKey"]
-                id_ = data["id"]
-                question = data["question"]["stem"]
-                choices = data["question"]["choices"]
-                text_choices = [choice["text"] for choice in choices]
-                label_choices = [choice["label"] for choice in choices]
-                yield id_, {
-                    "id": id_,
-                    "answerKey": answerkey,
-                    "question": question,
-                    "choices": {"text": text_choices, "label": label_choices},
-                }

dataset_infos.json

@@ -1 +0,0 @@
-{"ARC-Challenge": {"description": "A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in\n advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains\n only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also\n including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.\n", "citation": "@article{allenai:arc,\n      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and\n                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},\n      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},\n      journal   = {arXiv:1803.05457v1},\n      year      = {2018},\n}\n", "homepage": "https://allenai.org/data/arc", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "ai2_arc", "config_name": "ARC-Challenge", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 377740, "num_examples": 1172, "dataset_name": "ai2_arc"}, "train": {"name": "train", "num_bytes": 351888, "num_examples": 1119, "dataset_name": "ai2_arc"}, "validation": {"name": "validation", "num_bytes": 97254, "num_examples": 299, "dataset_name": "ai2_arc"}}, "download_checksums": {"https://s3-us-west-2.amazonaws.com/ai2-website/data/ARC-V1-Feb2018.zip": {"num_bytes": 680841265, "checksum": "6d2d5ab50b2ceec6ba5f79c921be77cf2de712ea25a2b3f4fff3acc101cecfa0"}}, "download_size": 680841265, "dataset_size": 826882, "size_in_bytes": 681668147}, "ARC-Easy": {"description": "A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in\n advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains\n only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also\n including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.\n", "citation": "@article{allenai:arc,\n      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and\n                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},\n      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},\n      journal   = {arXiv:1803.05457v1},\n      year      = {2018},\n}\n", "homepage": "https://allenai.org/data/arc", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "ai2_arc", "config_name": "ARC-Easy", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 661997, "num_examples": 2376, "dataset_name": "ai2_arc"}, "train": {"name": "train", "num_bytes": 623254, "num_examples": 2251, "dataset_name": "ai2_arc"}, "validation": {"name": "validation", "num_bytes": 158498, "num_examples": 570, "dataset_name": "ai2_arc"}}, "download_checksums": {"https://s3-us-west-2.amazonaws.com/ai2-website/data/ARC-V1-Feb2018.zip": {"num_bytes": 680841265, "checksum": "6d2d5ab50b2ceec6ba5f79c921be77cf2de712ea25a2b3f4fff3acc101cecfa0"}}, "download_size": 680841265, "dataset_size": 1443749, "size_in_bytes": 682285014}}