Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

@@ -104,6 +104,7 @@ task_ids:
   - [Dataset Curators](#dataset-curators)
   - [Licensing Information](#licensing-information)
   - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
 
 ## Dataset Description
 
@@ -206,3 +207,7 @@ Here are some examples of questions and facts:
 ### Citation Information
 
 [More Information Needed]
+
+### Contributions
+
+Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.

dataset_infos.json

@@ -1 +1 @@
-{"de-en": {"description": "This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.\n\nIMPORTANT: 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!\n\nThis is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.\n\n62 languages, 1,782 bitexts\ntotal number of files: 3,735,070\ntotal number of tokens: 22.10G\ntotal number of sentence fragments: 3.35G\n", "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)\n", "homepage": "http://opus.nlpl.eu/OpenSubtitles.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["de", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_subtitles", "config_name": "de-en", "version": {"version_str": "2018.0.0", "description": "", "major": 2018, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1960641457, "num_examples": 22512639, "dataset_name": "open_subtitles"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-OpenSubtitles/v2018/moses/de-en.txt.zip": {"num_bytes": 710557991, "checksum": "b1bdd09f3667a85ba9fd0688c8a943c710317e11e5f0f722b7f0f3f0bc38300c"}}, "download_size": 710557991, "post_processing_size": null, "dataset_size": 1960641457, "size_in_bytes": 2671199448}, "en-fr": {"description": "This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.\n\nIMPORTANT: 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!\n\nThis is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.\n\n62 languages, 1,782 bitexts\ntotal number of files: 3,735,070\ntotal number of tokens: 22.10G\ntotal number of sentence fragments: 3.35G\n", "citation": "P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. 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Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. 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+{"bs-eo": {"description": "This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.\n\nIMPORTANT: 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!\n\nThis is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.\n\n62 languages, 1,782 bitexts\ntotal number of files: 3,735,070\ntotal number of tokens: 22.10G\ntotal number of sentence fragments: 3.35G\n", "citation": "P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. 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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)\n", "homepage": "http://opus.nlpl.eu/OpenSubtitles.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"year": {"dtype": "uint32", "id": null, "_type": "Value"}, "imdbId": {"dtype": "uint32", "id": null, "_type": "Value"}, "subtitleId": {"en": {"dtype": "uint32", "id": null, "_type": "Value"}, "hi": {"dtype": "uint32", "id": null, "_type": "Value"}}, "sentenceIds": {"en": {"feature": {"dtype": "uint32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "hi": {"feature": {"dtype": "uint32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}}, "translation": {"languages": ["en", "hi"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_subtitles", "config_name": "en-hi", "version": {"version_str": "2018.0.0", "description": null, "major": 2018, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 13845544, "num_examples": 93016, "dataset_name": "open_subtitles"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-OpenSubtitles/v2018/moses/en-hi.txt.zip": {"num_bytes": 2967295, "checksum": "3e099b7738ec2fdcf47e6d7a4363b6435bf63a34f703168b086e742a8bc9f4ed"}}, "download_size": 2967295, "post_processing_size": null, "dataset_size": 13845544, "size_in_bytes": 16812839}, "bn-is": {"description": "This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.\n\nIMPORTANT: 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!\n\nThis is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.\n\n62 languages, 1,782 bitexts\ntotal number of files: 3,735,070\ntotal number of tokens: 22.10G\ntotal number of sentence fragments: 3.35G\n", "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)\n", "homepage": "http://opus.nlpl.eu/OpenSubtitles.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"year": {"dtype": "uint32", "id": null, "_type": "Value"}, "imdbId": {"dtype": "uint32", "id": null, "_type": "Value"}, "subtitleId": {"bn": {"dtype": "uint32", "id": null, "_type": "Value"}, "is": {"dtype": "uint32", "id": null, "_type": "Value"}}, "sentenceIds": {"bn": {"feature": {"dtype": "uint32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "is": {"feature": {"dtype": "uint32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}}, "translation": {"languages": ["bn", "is"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_subtitles", "config_name": "bn-is", "version": {"version_str": "2018.0.0", "description": null, "major": 2018, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6371251, "num_examples": 38272, "dataset_name": "open_subtitles"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-OpenSubtitles/v2018/moses/bn-is.txt.zip": {"num_bytes": 1411625, "checksum": "06ff1ed8e20cee1123046accb7e99f40ecf0263c2677b371a04ee80951c5a23f"}}, "download_size": 1411625, "post_processing_size": null, "dataset_size": 6371251, "size_in_bytes": 7782876}}

open_subtitles.py

@@ -79,6 +79,18 @@ class OpenSubtitles(datasets.GeneratorBasedBuilder):
             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)),
                 },
             ),
@@ -100,21 +112,48 @@ class OpenSubtitles(datasets.GeneratorBasedBuilder):
             )
         ]
 
+    @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)
-        with open(l1_path, encoding="utf-8") as f1, open(l2_path, encoding="utf-8") as f2:
-            for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
+        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},
                     },
                 )