Duplicate from winogrande

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README.md

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+---
+language:
+- en
+paperswithcode_id: winogrande
+pretty_name: WinoGrande
+dataset_info:
+- config_name: winogrande_xs
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 20704
+    num_examples: 160
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 412552
+- config_name: winogrande_s
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 82308
+    num_examples: 640
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 474156
+- config_name: winogrande_m
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 329001
+    num_examples: 2558
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 720849
+- config_name: winogrande_l
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1319576
+    num_examples: 10234
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 1711424
+- config_name: winogrande_xl
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5185832
+    num_examples: 40398
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 5577680
+- config_name: winogrande_debiased
+  features:
+  - name: sentence
+    dtype: string
+  - name: option1
+    dtype: string
+  - name: option2
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1203420
+    num_examples: 9248
+  - name: test
+    num_bytes: 227649
+    num_examples: 1767
+  - name: validation
+    num_bytes: 164199
+    num_examples: 1267
+  download_size: 3395492
+  dataset_size: 1595268
+---
+
+# Dataset Card for "winogrande"
+
+## 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/winogrande/submissions/get-started](https://leaderboard.allenai.org/winogrande/submissions/get-started)
+- **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:** 20.37 MB
+- **Size of the generated dataset:** 10.50 MB
+- **Total amount of disk used:** 30.87 MB
+
+### Dataset Summary
+
+WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
+ 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
+fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
+commonsense reasoning.
+
+### 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
+
+#### winogrande_debiased
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 1.59 MB
+- **Total amount of disk used:** 4.99 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+#### winogrande_l
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 1.71 MB
+- **Total amount of disk used:** 5.11 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_m
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 0.72 MB
+- **Total amount of disk used:** 4.12 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_s
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 0.47 MB
+- **Total amount of disk used:** 3.87 MB
+
+An example of 'validation' looks as follows.
+```
+
+```
+
+#### winogrande_xl
+
+- **Size of downloaded dataset files:** 3.40 MB
+- **Size of the generated dataset:** 5.58 MB
+- **Total amount of disk used:** 8.98 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### winogrande_debiased
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_l
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_m
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_s
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+#### winogrande_xl
+- `sentence`: a `string` feature.
+- `option1`: a `string` feature.
+- `option2`: a `string` feature.
+- `answer`: a `string` feature.
+
+### Data Splits
+
+|       name        |train|validation|test|
+|-------------------|----:|---------:|---:|
+|winogrande_debiased| 9248|      1267|1767|
+|winogrande_l       |10234|      1267|1767|
+|winogrande_m       | 2558|      1267|1767|
+|winogrande_s       |  640|      1267|1767|
+|winogrande_xl      |40398|      1267|1767|
+|winogrande_xs      |  160|      1267|1767|
+
+## 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{ai2:winogrande,
+title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
+authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
+},
+year={2019}
+}
+
+```
+
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@TevenLeScao](https://github.com/TevenLeScao), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.

dataset_infos.json

@@ -0,0 +1 @@
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winogrande.py

@@ -0,0 +1,145 @@
+"""TODO(winogrande): Add a description here."""
+
+
+import json
+import os
+
+import datasets
+
+
+# TODO(winogrande): BibTeX citation
+_CITATION = """\
+@InProceedings{ai2:winogrande,
+title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
+authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
+},
+year={2019}
+}
+"""
+
+# TODO(winogrande):
+_DESCRIPTION = """\
+WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
+ 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
+fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
+commonsense reasoning.
+"""
+
+_URL = "https://storage.googleapis.com/ai2-mosaic/public/winogrande/winogrande_1.1.zip"
+_FORMATS = ["xs", "s", "m", "l", "xl", "debiased"]
+
+
+class WinograndeConfig(datasets.BuilderConfig):
+
+    """BuilderConfig for Discofuse"""
+
+    def __init__(self, data_size, **kwargs):
+        """
+
+        Args:
+            data_size: the format of the training set we want to use (xs, s, m, l, xl, debiased)
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super(WinograndeConfig, self).__init__(version=datasets.Version("1.1.0", ""), **kwargs)
+        self.data_size = data_size
+
+
+class Winogrande(datasets.GeneratorBasedBuilder):
+    """TODO(winogrande): Short description of my dataset."""
+
+    # TODO(winogrande): Set up version.
+    VERSION = datasets.Version("1.1.0")
+    BUILDER_CONFIGS = [
+        WinograndeConfig(name="winogrande_" + data_size, description="AI2 dataset", data_size=data_size)
+        for data_size in _FORMATS
+    ]
+
+    def _info(self):
+        # TODO(winogrande): 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(
+                {
+                    "sentence": datasets.Value("string"),
+                    "option1": datasets.Value("string"),
+                    "option2": datasets.Value("string"),
+                    "answer": 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://leaderboard.allenai.org/winogrande/submissions/get-started",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(winogrande): 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, "winogrande_1.1")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, f"train_{self.config.data_size}.jsonl"),
+                    # 'labelpath': os.path.join(data_dir, 'train_{}-labels.lst'.format(self.config.data_size)),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "dev.jsonl"),
+                    # 'labelpath': os.path.join(data_dir, 'dev-labels.lst'),
+                    "split": "dev",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        # TODO(winogrande): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                if split == "test":
+                    yield id_, {
+                        "sentence": data["sentence"],
+                        "option1": data["option1"],
+                        "option2": data["option2"],
+                        "answer": "",
+                    }
+                else:
+                    yield id_, {
+                        "sentence": data["sentence"],
+                        "option1": data["option1"],
+                        "option2": data["option2"],
+                        "answer": data["answer"],
+                    }
+
+
+# def _generate_test_example(filepath, split, labelpath=None):
+#       with open(filepath, encoding="utf-8") as f:
+#           for id_, row in enumerate(f):
+#               data = json.loads(row)
+#               yield id_,{
+#                   'sentence': data['sentence'],
+#                   'option1': data['option1'],
+#                   'option2': data['option2'],
+#                   'answer': None
+#               }