Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

@@ -0,0 +1,27 @@
+*.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

@@ -0,0 +1,140 @@
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- question-answering
+task_ids:
+- multiple-choice-qa
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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)
+
+## Dataset Description
+
+- **Homepage:** [Add homepage URL here if available (unless it's a GitHub repository)]()
+- **Repository:** [If the dataset is hosted on github or has a github homepage, add URL here]()
+- **Paper:** [If the dataset was introduced by a paper or there was a paper written describing the dataset, add URL here (landing page for Arxiv paper preferred)]()
+- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
+- **Point of Contact:** [If known, name and email of at least one person the reader can contact for questions about the dataset.]()
+
+### 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
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### 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]

dataset_infos.json

@@ -0,0 +1 @@
+{"plain_text": {"description": "DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.\n", "citation": "@article{sundream2018,\n  title={{DREAM}: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension},\n  author={Sun, Kai and Yu, Dian and Chen, Jianshu and Yu, Dong and Choi, Yejin and Cardie, Claire},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2019},\n  url={https://arxiv.org/abs/1902.00164v1}\n}\n", "homepage": "https://dataset.org/dream/", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialogue": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choice": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "dream", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4775235, "num_examples": 6116, "dataset_name": "dream"}, "validation": {"name": "validation", "num_bytes": 1539272, "num_examples": 2040, "dataset_name": "dream"}, "test": {"name": "test", "num_bytes": 1556379, "num_examples": 2041, "dataset_name": "dream"}}, "download_checksums": {"https://raw.githubusercontent.com/nlpdata/dream/master/data/train.json": {"num_bytes": 3355481, "checksum": "90942ddea1b56231a0ad2097dc5f115ce1face1cfb86f029041e5bad38e68566"}, "https://raw.githubusercontent.com/nlpdata/dream/master/data/dev.json": {"num_bytes": 1097827, "checksum": "9d5af2e580d809c73872a7dd43fe93d0b07c6f6086b04a9a9a1917603009d961"}, "https://raw.githubusercontent.com/nlpdata/dream/master/data/test.json": {"num_bytes": 1104882, "checksum": "d96d7d0752f7eab1ea8f165a582430f35653c428d36633ab4d7f26fc14946c3a"}}, "download_size": 5558190, "post_processing_size": null, "dataset_size": 7870886, "size_in_bytes": 13429076}}

dream.py

@@ -0,0 +1,124 @@
+# coding=utf-8
+# Copyright 2020 HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import logging
+
+import datasets
+
+
+_CITATION = """\
+@article{sundream2018,
+  title={{DREAM}: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension},
+  author={Sun, Kai and Yu, Dian and Chen, Jianshu and Yu, Dong and Choi, Yejin and Cardie, Claire},
+  journal={Transactions of the Association for Computational Linguistics},
+  year={2019},
+  url={https://arxiv.org/abs/1902.00164v1}
+}
+"""
+
+_DESCRIPTION = """\
+DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. \
+In contrast to existing reading comprehension datasets, DREAM is the first to focus on \
+in-depth multi-turn multi-party dialogue understanding.
+"""
+
+_URL = "https://raw.githubusercontent.com/nlpdata/dream/master/data/"
+_URLS = {
+    "train": _URL + "train.json",
+    "dev": _URL + "dev.json",
+    "test": _URL + "test.json",
+}
+
+
+class DreamConfig(datasets.BuilderConfig):
+    """BuilderConfig for Dream."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Dream.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(DreamConfig, self).__init__(**kwargs)
+
+
+class Dream(datasets.GeneratorBasedBuilder):
+    """DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        DreamConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0"),
+            description="plain_text",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("int32"),
+                    "dialogue_id": datasets.Value("string"),
+                    "dialogue": datasets.Sequence(datasets.Value("string")),
+                    "question": datasets.Value("string"),
+                    "choice": datasets.features.Sequence(datasets.Value("string")),
+                    "answer": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://dataset.org/dream/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logging.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            dialogues = json.load(f)
+            counter = 0
+            for dialogue in dialogues:
+                dialogue_text = dialogue[0]
+                questions = dialogue[1]
+                dialogue_id = dialogue[2]
+
+                for que in questions:
+                    yield counter, {
+                        "id": counter,
+                        "dialogue_id": dialogue_id,
+                        "dialogue": dialogue_text,
+                        "question": que["question"],
+                        "choice": que["choice"],
+                        "answer": que["answer"],
+                    }
+                    counter += 1

dummy/plain_text/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:240ac202974016d38b9889434758a3b248adaaac9b8392d37d3afc2f9689c092
+size 4544