Duplicate from Helsinki-NLP/open_subtitles

Co-authored-by: Parquet-converter (BOT) <parquet-converter@users.noreply.huggingface.co>

.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 +1,457 @@
+---
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- af
+- ar
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- gl
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- ka
+- kk
+- ko
+- lt
+- lv
+- mk
+- ml
+- ms
+- nl
+- 'no'
+- pl
+- pt
+- ro
+- ru
+- si
+- sk
+- sl
+- sq
+- sr
+- sv
+- ta
+- te
+- th
+- tl
+- tr
+- uk
+- ur
+- vi
+- zh
+language_bcp47:
+- pt-BR
+- ze-EN
+- ze-ZH
+- zh-CN
+- zh-TW
+license:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- 10K<n<100K
+- 1M<n<10M
+- n<1K
+source_datasets:
+- original
+task_categories:
+- translation
+task_ids: []
+paperswithcode_id: opensubtitles
+pretty_name: OpenSubtitles
+dataset_info:
+- config_name: bs-eo
+  features:
+  - name: id
+    dtype: string
+  - name: meta
+    struct:
+    - name: year
+      dtype: uint32
+    - name: imdbId
+      dtype: uint32
+    - name: subtitleId
+      struct:
+      - name: bs
+        dtype: uint32
+      - name: eo
+        dtype: uint32
+    - name: sentenceIds
+      struct:
+      - name: bs
+        sequence: uint32
+      - name: eo
+        sequence: uint32
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - bs
+        - eo
+  splits:
+  - name: train
+    num_bytes: 1204266
+    num_examples: 10989
+  download_size: 333050
+  dataset_size: 1204266
+- config_name: fr-hy
+  features:
+  - name: id
+    dtype: string
+  - name: meta
+    struct:
+    - name: year
+      dtype: uint32
+    - name: imdbId
+      dtype: uint32
+    - name: subtitleId
+      struct:
+      - name: fr
+        dtype: uint32
+      - name: hy
+        dtype: uint32
+    - name: sentenceIds
+      struct:
+      - name: fr
+        sequence: uint32
+      - name: hy
+        sequence: uint32
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - fr
+        - hy
+  splits:
+  - name: train
+    num_bytes: 132450
+    num_examples: 668
+  download_size: 41861
+  dataset_size: 132450
+- config_name: da-ru
+  features:
+  - name: id
+    dtype: string
+  - name: meta
+    struct:
+    - name: year
+      dtype: uint32
+    - name: imdbId
+      dtype: uint32
+    - name: subtitleId
+      struct:
+      - name: da
+        dtype: uint32
+      - name: ru
+        dtype: uint32
+    - name: sentenceIds
+      struct:
+      - name: da
+        sequence: uint32
+      - name: ru
+        sequence: uint32
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - da
+        - ru
+  splits:
+  - name: train
+    num_bytes: 1082649105
+    num_examples: 7543012
+  download_size: 267995167
+  dataset_size: 1082649105
+- config_name: en-hi
+  features:
+  - name: id
+    dtype: string
+  - name: meta
+    struct:
+    - name: year
+      dtype: uint32
+    - name: imdbId
+      dtype: uint32
+    - name: subtitleId
+      struct:
+      - name: en
+        dtype: uint32
+      - name: hi
+        dtype: uint32
+    - name: sentenceIds
+      struct:
+      - name: en
+        sequence: uint32
+      - name: hi
+        sequence: uint32
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - en
+        - hi
+  splits:
+  - name: train
+    num_bytes: 13845544
+    num_examples: 93016
+  download_size: 2967295
+  dataset_size: 13845544
+- config_name: bn-is
+  features:
+  - name: id
+    dtype: string
+  - name: meta
+    struct:
+    - name: year
+      dtype: uint32
+    - name: imdbId
+      dtype: uint32
+    - name: subtitleId
+      struct:
+      - name: bn
+        dtype: uint32
+      - name: is
+        dtype: uint32
+    - name: sentenceIds
+      struct:
+      - name: bn
+        sequence: uint32
+      - name: is
+        sequence: uint32
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - bn
+        - is
+  splits:
+  - name: train
+    num_bytes: 6371251
+    num_examples: 38272
+  download_size: 1411625
+  dataset_size: 6371251
+config_names:
+- bn-is
+- bs-eo
+- da-ru
+- en-hi
+- fr-hy
+---
+
+# Dataset Card for OpenSubtitles
+
+## 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:** http://opus.nlpl.eu/OpenSubtitles.php
+- **Repository:** None
+- **Paper:** http://www.lrec-conf.org/proceedings/lrec2016/pdf/62_Paper.pdf
+- **Leaderboard:** [More Information Needed]
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.
+You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/OpenSubtitles.php
+E.g.
+
+`dataset = load_dataset("open_subtitles", lang1="fi", lang2="hi")`
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The languages in the dataset are:
+- af
+- ar
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- gl
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- ka
+- kk
+- ko
+- lt
+- lv
+- mk
+- ml
+- ms
+- nl
+- no
+- pl
+- pt
+- pt_br: Portuguese (Brazil) (pt-BR)
+- ro
+- ru
+- si
+- sk
+- sl
+- sq
+- sr
+- sv
+- ta
+- te
+- th
+- tl
+- tr
+- uk
+- ur
+- vi
+- ze_en: English constituent of Bilingual Chinese-English (subtitles displaying two languages at once, one per line)
+- ze_zh: Chinese constituent of Bilingual Chinese-English (subtitles displaying two languages at once, one per line)
+- zh_cn: Simplified Chinese (zh-CN, `zh-Hans`)
+- zh_tw: Traditional Chinese (zh-TW, `zh-Hant`)
+
+## Dataset Structure
+
+### Data Instances
+
+Here are some examples of questions and facts:
+
+
+### 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]
+
+### Contributions
+
+Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.

open_subtitles.py

@@ -0,0 +1,161 @@
+# 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
+import os
+
+import datasets
+
+
+_DESCRIPTION = """\
+This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.
+
+IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.opensubtitles.org/ to your website and to your reports and publications produced with the data!
+
+This is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.
+
+62 languages, 1,782 bitexts
+total number of files: 3,735,070
+total number of tokens: 22.10G
+total number of sentence fragments: 3.35G
+"""
+_HOMEPAGE_URL = "http://opus.nlpl.eu/OpenSubtitles.php"
+_CITATION = """\
+P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
+"""
+
+_VERSION = "2018.0.0"
+_BASE_NAME = "OpenSubtitles.{}.{}"
+_BASE_URL = "https://object.pouta.csc.fi/OPUS-OpenSubtitles/v2018/moses/{}-{}.txt.zip"
+
+# Please note that only few pairs are shown here. You can use config to generate data for all language pairs
+_LANGUAGE_PAIRS = [
+    ("bs", "eo"),
+    ("fr", "hy"),
+    ("da", "ru"),
+    ("en", "hi"),
+    ("bn", "is"),
+]
+
+
+class OpenSubtitlesConfig(datasets.BuilderConfig):
+    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
+        super().__init__(
+            *args,
+            name=f"{lang1}-{lang2}",
+            **kwargs,
+        )
+        self.lang1 = lang1
+        self.lang2 = lang2
+
+
+class OpenSubtitles(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        OpenSubtitlesConfig(
+            lang1=lang1,
+            lang2=lang2,
+            description=f"Translating {lang1} to {lang2} or vice versa",
+            version=datasets.Version(_VERSION),
+        )
+        for lang1, lang2 in _LANGUAGE_PAIRS
+    ]
+    BUILDER_CONFIG_CLASS = OpenSubtitlesConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "meta": {
+                        "year": datasets.Value("uint32"),
+                        "imdbId": datasets.Value("uint32"),
+                        "subtitleId": {
+                            self.config.lang1: datasets.Value("uint32"),
+                            self.config.lang2: datasets.Value("uint32"),
+                        },
+                        "sentenceIds": {
+                            self.config.lang1: datasets.Sequence(datasets.Value("uint32")),
+                            self.config.lang2: datasets.Sequence(datasets.Value("uint32")),
+                        },
+                    },
+                    "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        def _base_url(lang1, lang2):
+            return _BASE_URL.format(lang1, lang2)
+
+        download_url = _base_url(self.config.lang1, self.config.lang2)
+        path = dl_manager.download_and_extract(download_url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    @classmethod
+    def _extract_info(cls, sentence_id):
+        # see https://github.com/huggingface/datasets/issues/1844
+        # sentence ids have the following format: en/2017/7006210/7050201.xml.gz
+        # lang/year/imdb_id/opensubtitles_id.xml.gz
+        parts = sentence_id[: -len(".xml.gz")].split("/")
+        parts.pop(0)  # remove lang, we do not need it
+
+        # returns year, imdb_id, opensubtitles_id
+        return tuple(map(int, parts))
+
+    def _generate_examples(self, datapath):
+        l1, l2 = self.config.lang1, self.config.lang2
+        folder = l1 + "-" + l2
+        l1_file = _BASE_NAME.format(folder, l1)
+        l2_file = _BASE_NAME.format(folder, l2)
+        ids_file = _BASE_NAME.format(folder, "ids")
+        l1_path = os.path.join(datapath, l1_file)
+        l2_path = os.path.join(datapath, l2_file)
+        ids_path = os.path.join(datapath, ids_file)
+        with open(l1_path, encoding="utf-8") as f1, open(l2_path, encoding="utf-8") as f2, open(
+            ids_path, encoding="utf-8"
+        ) as f3:
+            for sentence_counter, (x, y, _id) in enumerate(zip(f1, f2, f3)):
+                x = x.strip()
+                y = y.strip()
+                l1_id, l2_id, l1_sid, l2_sid = _id.split("\t")
+                year, imdb_id, l1_subtitle_id = self._extract_info(l1_id)
+                _, _, l2_subtitle_id = self._extract_info(l2_id)
+                l1_sentence_ids = list(map(int, l1_sid.split(" ")))
+                l2_sentence_ids = list(map(int, l2_sid.split(" ")))
+
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "meta": {
+                            "year": year,
+                            "imdbId": imdb_id,
+                            "subtitleId": {l1: l1_subtitle_id, l2: l2_subtitle_id},
+                            "sentenceIds": {l1: l1_sentence_ids, l2: l2_sentence_ids},
+                        },
+                        "translation": {l1: x, l2: y},
+                    },
+                )
+                sentence_counter += 1
+                yield result