Duplicate from reciTAL/mlsum

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- de
+- es
+- fr
+- ru
+- tr
+license:
+- other
+multilinguality:
+- multilingual
+size_categories:
+- 100K<n<1M
+- 10K<n<100K
+source_datasets:
+- extended|cnn_dailymail
+- original
+task_categories:
+- summarization
+- translation
+- text-classification
+task_ids:
+- news-articles-summarization
+- multi-class-classification
+- multi-label-classification
+- topic-classification
+paperswithcode_id: mlsum
+pretty_name: MLSUM
+dataset_info:
+- config_name: de
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 846959840
+    num_examples: 220887
+  - name: validation
+    num_bytes: 47119541
+    num_examples: 11394
+  - name: test
+    num_bytes: 46847612
+    num_examples: 10701
+  download_size: 1005814154
+  dataset_size: 940926993
+- config_name: es
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1214558302
+    num_examples: 266367
+  - name: validation
+    num_bytes: 50643400
+    num_examples: 10358
+  - name: test
+    num_bytes: 71263665
+    num_examples: 13920
+  download_size: 1456211154
+  dataset_size: 1336465367
+- config_name: fr
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1471965014
+    num_examples: 392902
+  - name: validation
+    num_bytes: 70413212
+    num_examples: 16059
+  - name: test
+    num_bytes: 69660288
+    num_examples: 15828
+  download_size: 1849565564
+  dataset_size: 1612038514
+- config_name: ru
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 257389497
+    num_examples: 25556
+  - name: validation
+    num_bytes: 9128497
+    num_examples: 750
+  - name: test
+    num_bytes: 9656398
+    num_examples: 757
+  download_size: 766226107
+  dataset_size: 276174392
+- config_name: tu
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 641622783
+    num_examples: 249277
+  - name: validation
+    num_bytes: 25530661
+    num_examples: 11565
+  - name: test
+    num_bytes: 27830212
+    num_examples: 12775
+  download_size: 942308960
+  dataset_size: 694983656
+config_names:
+- de
+- es
+- fr
+- ru
+- tu
+---
+
+# Dataset Card for MLSUM
+
+## 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:** []()
+- **Repository:** https://github.com/recitalAI/MLSUM
+- **Paper:** https://www.aclweb.org/anthology/2020.emnlp-main.647/
+- **Point of Contact:** [email](thomas@recital.ai)
+- **Size of downloaded dataset files:** 1.83 GB
+- **Size of the generated dataset:** 4.86 GB
+- **Total amount of disk used:** 6.69 GB
+
+### Dataset Summary
+
+We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.
+Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.
+Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.
+We report cross-lingual comparative analyses based on state-of-the-art systems.
+These highlight existing biases which motivate the use of a multi-lingual dataset.
+
+### 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
+
+#### de
+
+- **Size of downloaded dataset files:** 346.58 MB
+- **Size of the generated dataset:** 940.93 MB
+- **Total amount of disk used:** 1.29 GB
+
+An example of 'validation' looks as follows.
+```
+{
+    "date": "01/01/2001",
+    "summary": "A text",
+    "text": "This is a text",
+    "title": "A sample",
+    "topic": "football",
+    "url": "https://www.google.com"
+}
+```
+
+#### es
+
+- **Size of downloaded dataset files:** 513.31 MB
+- **Size of the generated dataset:** 1.34 GB
+- **Total amount of disk used:** 1.85 GB
+
+An example of 'validation' looks as follows.
+```
+{
+    "date": "01/01/2001",
+    "summary": "A text",
+    "text": "This is a text",
+    "title": "A sample",
+    "topic": "football",
+    "url": "https://www.google.com"
+}
+```
+
+#### fr
+
+- **Size of downloaded dataset files:** 619.99 MB
+- **Size of the generated dataset:** 1.61 GB
+- **Total amount of disk used:** 2.23 GB
+
+An example of 'validation' looks as follows.
+```
+{
+    "date": "01/01/2001",
+    "summary": "A text",
+    "text": "This is a text",
+    "title": "A sample",
+    "topic": "football",
+    "url": "https://www.google.com"
+}
+```
+
+#### ru
+
+- **Size of downloaded dataset files:** 106.22 MB
+- **Size of the generated dataset:** 276.17 MB
+- **Total amount of disk used:** 382.39 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "date": "01/01/2001",
+    "summary": "A text",
+    "text": "This is a text",
+    "title": "A sample",
+    "topic": "football",
+    "url": "https://www.google.com"
+}
+```
+
+#### tu
+
+- **Size of downloaded dataset files:** 247.50 MB
+- **Size of the generated dataset:** 694.99 MB
+- **Total amount of disk used:** 942.48 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "date": "01/01/2001",
+    "summary": "A text",
+    "text": "This is a text",
+    "title": "A sample",
+    "topic": "football",
+    "url": "https://www.google.com"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### de
+- `text`: a `string` feature.
+- `summary`: a `string` feature.
+- `topic`: a `string` feature.
+- `url`: a `string` feature.
+- `title`: a `string` feature.
+- `date`: a `string` feature.
+
+#### es
+- `text`: a `string` feature.
+- `summary`: a `string` feature.
+- `topic`: a `string` feature.
+- `url`: a `string` feature.
+- `title`: a `string` feature.
+- `date`: a `string` feature.
+
+#### fr
+- `text`: a `string` feature.
+- `summary`: a `string` feature.
+- `topic`: a `string` feature.
+- `url`: a `string` feature.
+- `title`: a `string` feature.
+- `date`: a `string` feature.
+
+#### ru
+- `text`: a `string` feature.
+- `summary`: a `string` feature.
+- `topic`: a `string` feature.
+- `url`: a `string` feature.
+- `title`: a `string` feature.
+- `date`: a `string` feature.
+
+#### tu
+- `text`: a `string` feature.
+- `summary`: a `string` feature.
+- `topic`: a `string` feature.
+- `url`: a `string` feature.
+- `title`: a `string` feature.
+- `date`: a `string` feature.
+
+### Data Splits
+
+|name|train |validation|test |
+|----|-----:|---------:|----:|
+|de  |220887|     11394|10701|
+|es  |266367|     10358|13920|
+|fr  |392902|     16059|15828|
+|ru  | 25556|       750|  757|
+|tu  |249277|     11565|12775|
+
+## 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
+
+Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See https://github.com/recitalAI/MLSUM#mlsum
+
+### Citation Information
+
+```
+@article{scialom2020mlsum,
+  title={MLSUM: The Multilingual Summarization Corpus},
+  author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},
+  journal={arXiv preprint arXiv:2004.14900},
+  year={2020}
+}
+
+```
+
+
+### Contributions
+
+Thanks to [@RachelKer](https://github.com/RachelKer), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset.

mlsum.py

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+import json
+
+import datasets
+
+
+_CITATION = """\
+@article{scialom2020mlsum,
+  title={MLSUM: The Multilingual Summarization Corpus},
+  author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},
+  journal={arXiv preprint arXiv:2004.14900},
+  year={2020}
+}
+"""
+
+_DESCRIPTION = """\
+We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.
+Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.
+Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.
+We report cross-lingual comparative analyses based on state-of-the-art systems.
+These highlight existing biases which motivate the use of a multi-lingual dataset.
+"""
+
+_URL = "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM"
+_LANG = ["de", "es", "fr", "ru", "tu"]
+
+
+class Mlsum(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=lang,
+            version=datasets.Version("1.0.0"),
+            description="",
+        )
+        for lang in _LANG
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "summary": datasets.Value("string"),
+                    "topic": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "date": 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="",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+
+        lang = self.config.name
+        urls_to_download = {
+            "train": f"{_URL}/{lang}_train.jsonl?inline=false",
+            "validation": f"{_URL}/{lang}_val.jsonl?inline=false",
+            "test": f"{_URL}/{lang}_test.jsonl?inline=false",
+        }
+        downloaded_files = dl_manager.download(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(
+                name=split,
+                gen_kwargs={
+                    "filepath": downloaded_files[split],
+                },
+            )
+            for split in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for id_, line in enumerate(f):
+                data = json.loads(line)
+                yield id_, {
+                    "text": data["text"],
+                    "summary": data["summary"],
+                    "topic": data["topic"],
+                    "url": data["url"],
+                    "title": data["title"],
+                    "date": data["date"],
+                }