Update parquet files

.gitattributes

@@ -1,27 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,210 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- found
-license:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: Abductive Reasoning in narrative Text
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- multiple-choice
-- text-classification
-task_ids:
-- natural-language-inference
-paperswithcode_id: art-dataset
-tags:
-- abductive-natural-language-inference
-dataset_info:
-  features:
-  - name: observation_1
-    dtype: string
-  - name: observation_2
-    dtype: string
-  - name: hypothesis_1
-    dtype: string
-  - name: hypothesis_2
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: '0'
-          1: '1'
-          2: '2'
-  config_name: anli
-  splits:
-  - name: validation
-    num_bytes: 312314
-    num_examples: 1532
-  - name: train
-    num_bytes: 34046304
-    num_examples: 169654
-  download_size: 5118294
-  dataset_size: 34358618
----
-
-# Dataset Card for "art"
-
-## 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://leaderboard.allenai.org/anli/submissions/get-started](https://leaderboard.allenai.org/anli/submissions/get-started)
-- **Repository:** https://github.com/allenai/abductive-commonsense-reasoning
-- **Paper:** [Abductive Commonsense Reasoning](https://arxiv.org/abs/1908.05739)
-- **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:** 4.88 MB
-- **Size of the generated dataset:** 32.77 MB
-- **Total amount of disk used:** 37.65 MB
-
-### Dataset Summary
-
-ART consists of over 20k commonsense narrative contexts and 200k explanations.
-
-The Abductive Natural Language Inference Dataset from AI2.
-
-### 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
-
-#### anli
-
-- **Size of downloaded dataset files:** 4.88 MB
-- **Size of the generated dataset:** 32.77 MB
-- **Total amount of disk used:** 37.65 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "hypothesis_1": "Chad's car had all sorts of other problems besides alignment.",
-    "hypothesis_2": "Chad's car had all sorts of benefits other than being sexy.",
-    "label": 1,
-    "observation_1": "Chad went to get the wheel alignment measured on his car.",
-    "observation_2": "The mechanic provided a working alignment with new body work."
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### anli
-- `observation_1`: a `string` feature.
-- `observation_2`: a `string` feature.
-- `hypothesis_1`: a `string` feature.
-- `hypothesis_2`: a `string` feature.
-- `label`: a classification label, with possible values including `0` (0), `1` (1), `2` (2).
-
-### Data Splits
-
-|name|train |validation|
-|----|-----:|---------:|
-|anli|169654|      1532|
-
-## 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
-
-```
-@inproceedings{Bhagavatula2020Abductive,
-  title={Abductive Commonsense Reasoning},
-  author={Chandra Bhagavatula and Ronan Le Bras and Chaitanya Malaviya and Keisuke Sakaguchi and Ari Holtzman and Hannah Rashkin and Doug Downey and Wen-tau Yih and Yejin Choi},
-  booktitle={International Conference on Learning Representations},
-  year={2020},
-  url={https://openreview.net/forum?id=Byg1v1HKDB}
-}
-```
-
-### Contributions
-
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq) for adding this dataset.

anli/art-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:021ef4c45476de1c786399775ec1bbeb3dd9c4547a9d9d6ad0720ffdf682abcc
+size 8983168

anli/art-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:932867cc0ef6f5e4ce02806dfb01b6a1c84801974b8c01f608e4353096e6c662
+size 208635

art.py

@@ -1,116 +0,0 @@
-"""TODO(art): Add a description here."""
-
-
-import json
-import os
-
-import datasets
-
-
-# TODO(art): BibTeX citation
-_CITATION = """\
-@InProceedings{anli,
-  author = {Chandra, Bhagavatula and Ronan, Le Bras and Chaitanya, Malaviya and Keisuke, Sakaguchi and Ari, Holtzman
-    and Hannah, Rashkin and Doug, Downey and Scott, Wen-tau Yih and Yejin, Choi},
-  title = {Abductive Commonsense Reasoning},
-  year = {2020}
-}"""
-
-# TODO(art):
-_DESCRIPTION = """\
-the Abductive Natural Language Inference Dataset from AI2
-"""
-_DATA_URL = "https://storage.googleapis.com/ai2-mosaic/public/alphanli/alphanli-train-dev.zip"
-
-
-class ArtConfig(datasets.BuilderConfig):
-    """BuilderConfig for Art."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Art.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(ArtConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
-
-
-class Art(datasets.GeneratorBasedBuilder):
-    """TODO(art): Short description of my dataset."""
-
-    # TODO(art): Set up version.
-    VERSION = datasets.Version("0.1.0")
-    BUILDER_CONFIGS = [
-        ArtConfig(
-            name="anli",
-            description="""\
-          the Abductive Natural Language Inference Dataset from AI2.
-          """,
-        ),
-    ]
-
-    def _info(self):
-        # TODO(art): 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(
-                {
-                    "observation_1": datasets.Value("string"),
-                    "observation_2": datasets.Value("string"),
-                    "hypothesis_1": datasets.Value("string"),
-                    "hypothesis_2": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(num_classes=3)
-                    # 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://leaderboard.allenai.org/anli/submissions/get-started",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(art): 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(_DATA_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(dl_dir, "dev.jsonl"),
-                    "labelpath": os.path.join(dl_dir, "dev-labels.lst"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(dl_dir, "train.jsonl"),
-                    "labelpath": os.path.join(dl_dir, "train-labels.lst"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, labelpath):
-        """Yields examples."""
-        # TODO(art): Yields (key, example) tuples from the dataset
-        data = []
-        for line in open(filepath, encoding="utf-8"):
-            data.append(json.loads(line))
-        labels = []
-        with open(labelpath, encoding="utf-8") as f:
-            for word in f:
-                labels.append(word)
-        for idx, row in enumerate(data):
-            yield idx, {
-                "observation_1": row["obs1"],
-                "observation_2": row["obs2"],
-                "hypothesis_1": row["hyp1"],
-                "hypothesis_2": row["hyp2"],
-                "label": labels[idx],
-            }

dataset_infos.json

@@ -1 +0,0 @@
-{"anli": {"description": "the Abductive Natural Language Inference Dataset from AI2\n", "citation": "@InProceedings{anli,\n  author = \"Chandra, Bhagavatula\n    and Ronan, Le Bras\n    and Chaitanya, Malaviya\n    and Keisuke, Sakaguchi\n    and Ari, Holtzman\n    and Hannah, Rashkin\n    and Doug, Downey\n    and Scott, Wen-tau Yih\n    and Yejin, Choi\",\n  title = \"Abductive Commonsense Reasoning\",\n  year = \"2020\",\n}", "homepage": "https://leaderboard.allenai.org/anli/submissions/get-started", "license": "", "features": {"observation_1": {"dtype": "string", "id": null, "_type": "Value"}, "observation_2": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_1": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["0", "1", "2"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "supervised_keys": null, "builder_name": "art", "config_name": "anli", "version": {"version_str": "0.1.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 34046304, "num_examples": 169654, "dataset_name": "art"}, "validation": {"name": "validation", "num_bytes": 312314, "num_examples": 1532, "dataset_name": "art"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/alphanli/alphanli-train-dev.zip": {"num_bytes": 5118294, "checksum": "24840b27553e93ec625ae020dbf78d92daeae4be31ebbd469a0c9f6f99ed1c8d"}}, "download_size": 5118294, "dataset_size": 34358618, "size_in_bytes": 39476912}}