Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- en
+licenses:
+- cc-by-4-0
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# 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:** N/A
+- **Repository:** [GitHub](https://github.com/google-research-datasets/poem-sentiment)
+- **Paper:** [Investigating Societal Biases in a Poetry Composition System](https://arxiv.org/abs/2011.02686)
+- **Leaderboard:** N/A
+- **Point of Contact:** -
+
+### Dataset Summary
+
+Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg.
+This dataset can be used for tasks such as sentiment classification or style transfer for poems.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The text in the dataset is in English (`en`).
+
+## Dataset Structure
+
+### Data Instances
+Example of one instance in the dataset.
+
+```{'id': 0, 'label': 2, 'verse_text': 'with pale blue berries. in these peaceful shades--'}```
+
+### Data Fields
+
+- `id`: index of the example
+- `verse_text`: The text of the poem verse
+- `label`: The sentiment label. Here 
+    - 0 = negative
+    - 1 = positive
+    - 2 = no impact
+    - 3 = mixed (both negative and positive)
+> Note: The original dataset uses different label indices  (negative = -1, no impact = 0, positive = 1) 
+
+### Data Splits
+
+The dataset is split into a `train`, `validation`, and `test` split with the following sizes:
+
+|                            | Tain   | Valid | Test  |
+| -----                      | ------ | ----- | ----- |
+| Number of examples         | 892    | 105   | 104   |
+
+
+
+[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
+
+This work is licensed under a Creative Commons Attribution 4.0 International License
+
+### Citation Information
+
+```
+@misc{sheng2020investigating,
+      title={Investigating Societal Biases in a Poetry Composition System},
+      author={Emily Sheng and David Uthus},
+      year={2020},
+      eprint={2011.02686},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

dataset_infos.json

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+{"default": {"description": "Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg. This dataset can be used for tasks such as sentiment classification or style transfer for poems.\n", "citation": "@misc{sheng2020investigating,\n      title={Investigating Societal Biases in a Poetry Composition System},\n      author={Emily Sheng and David Uthus},\n      year={2020},\n      eprint={2011.02686},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/google-research-datasets/poem-sentiment", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "verse_text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["negative", "positive", "no_impact"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "poem_sentiment", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 48555, "num_examples": 892, "dataset_name": "poem_sentiment"}, "validation": {"name": "validation", "num_bytes": 5788, "num_examples": 105, "dataset_name": "poem_sentiment"}, "test": {"name": "test", "num_bytes": 5588, "num_examples": 104, "dataset_name": "poem_sentiment"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/poem-sentiment/master/data//train.tsv": {"num_bytes": 40567, "checksum": "09503a850796736a8e63504ae2c8de983f57dceebc2342ea93a7f7ad06af56d0"}, "https://raw.githubusercontent.com/google-research-datasets/poem-sentiment/master/data//dev.tsv": {"num_bytes": 4747, "checksum": "0770bd7b80e04c92da82e78f9f93ce35d38b334b4830fca2b9b4d7e174f152e5"}, "https://raw.githubusercontent.com/google-research-datasets/poem-sentiment/master/data//test.tsv": {"num_bytes": 4556, "checksum": "a406d87b62a6b7c9615468a8b66e69c027fa8f2f03a4f8f6c79df26c260de620"}}, "download_size": 49870, "post_processing_size": null, "dataset_size": 59931, "size_in_bytes": 109801}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eca1c5d23c979bee4a312690c71cd2653e0da100f08d61d392766cf075181a11
+size 964

poem_sentiment.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+"""Poem Sentiment: A sentiment dataset of poem verses"""
+
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+_CITATION = """\
+@misc{sheng2020investigating,
+      title={Investigating Societal Biases in a Poetry Composition System},
+      author={Emily Sheng and David Uthus},
+      year={2020},
+      eprint={2011.02686},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg. \
+This dataset can be used for tasks such as sentiment classification or style transfer for poems.
+"""
+
+
+_HOMEPAGE = "https://github.com/google-research-datasets/poem-sentiment"
+
+_BASE_URL = "https://raw.githubusercontent.com/google-research-datasets/poem-sentiment/master/data/"
+_URLS = {
+    "train": f"{_BASE_URL}/train.tsv",
+    "dev": f"{_BASE_URL}/dev.tsv",
+    "test": f"{_BASE_URL}/test.tsv",
+}
+_LABEL_MAPPING = {-1: 0, 0: 2, 1: 1, 2: 3}
+
+
+class PoemSentiment(datasets.GeneratorBasedBuilder):
+    """Poem Sentiment: A sentiment dataset of poem verses"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("int32"),
+                    "verse_text": datasets.Value("string"),
+                    "label": datasets.ClassLabel(names=["negative", "positive", "no_impact", "mixed"]),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_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):
+        with open(filepath, encoding="utf-8") as f:
+            lines = f.readlines()
+            for line in lines:
+                fields = line.strip().split("\t")
+                idx, verse_text, label = fields
+                label = _LABEL_MAPPING[int(label)]
+                yield int(idx), {"id": int(idx), "verse_text": verse_text, "label": label}