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 +1,185 @@
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+languages:
+- en
+- ja
+licenses:
+- cc-by-nc-sa-4-0
+multilinguality:
+- translation
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for Business Scene Dialogue 
+
+## 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:** [Github](https://raw.githubusercontent.com/tsuruoka-lab/BSD/)
+- **Repository:** [Github](https://raw.githubusercontent.com/tsuruoka-lab/BSD/)
+- **Paper:** [Rikters et al., 2019](https://www.aclweb.org/anthology/D19-5204)
+- **Leaderboard:**
+- **Point of Contact:** Matīss Rikters
+
+### Dataset Summary
+This is the Business Scene Dialogue (BSD) dataset, 
+a Japanese-English parallel corpus containing written conversations
+in various business scenarios. 
+
+The dataset was constructed in 3 steps: 
+  1) selecting business scenes, 
+  2) writing monolingual conversation scenarios according to the selected scenes, and 
+  3) translating the scenarios into the other language. 
+
+Half of the monolingual scenarios were written in Japanese 
+and the other half were written in English.
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+English, Japanese.
+
+## Dataset Structure
+
+### Data Instances
+Each instance contains a conversation identifier, a sentence number that indicates its
+position within the conversation, speaker name in English and Japanese, 
+text in English and Japanese, original language, scene of the scenario (tag), 
+and title of the scenario (title).
+```python
+		{
+      "id": "190315_E004_13",
+			"no": 14,
+			"speaker": "Mr. Sam Lee",
+			"ja_speaker": "サム リーさん",
+			"en_sentence": "Would you guys consider a different scheme?",
+			"ja_sentence": "別の事業案も考慮されますか？",
+			"original_language": "en",
+			"tag": "phone call",
+			"title": "Phone: Review spec and scheme"
+		}
+```
+
+### Data Fields
+- id: dialogue identifier
+- no: sentence pair number within a dialogue
+- en_speaker: speaker name in English
+- ja_speaker: speaker name in Japanese
+- en_sentence: sentence in English
+- ja_sentence: sentence in Japanese
+- original_language: language in which monolingual scenario was written
+- tag: scenario
+- title: scenario title
+
+### Data Splits
+- There are a total of 24171 sentences /  808 business scenarios.
+- Train: 20000 sentences / 670 scenarios
+- Dev: 2051 sentences / 69 scenarios
+- Test: 2120 sentences / 69 scenarios
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### 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 dataset was released under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license.
+
+### Citation Information
+```
+@inproceedings{rikters-etal-2019-designing,
+    title = "Designing the Business Conversation Corpus",
+    author = "Rikters, Mat{\=\i}ss  and
+      Ri, Ryokan  and
+      Li, Tong  and
+      Nakazawa, Toshiaki",
+    booktitle = "Proceedings of the 6th Workshop on Asian Translation",
+    month = nov,
+    year = "2019",
+    address = "Hong Kong, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/D19-5204",
+    doi = "10.18653/v1/D19-5204",
+    pages = "54--61"
+}
+```

bsd_ja_en.py

@@ -0,0 +1,164 @@
+# 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.
+"""Japanese-English Business Scene Dialogue (BSD) dataset. """
+
+from __future__ import absolute_import, division, print_function
+
+import json
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{rikters-etal-2019-designing,
+    title = "Designing the Business Conversation Corpus",
+    author = "Rikters, Matīss  and
+      Ri, Ryokan  and
+      Li, Tong  and
+      Nakazawa, Toshiaki",
+    booktitle = "Proceedings of the 6th Workshop on Asian Translation",
+    month = nov,
+    year = "2019",
+    address = "Hong Kong, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/D19-5204",
+    doi = "10.18653/v1/D19-5204",
+    pages = "54--61"
+}
+"""
+
+
+_DESCRIPTION = """\
+This is the Business Scene Dialogue (BSD) dataset,
+a Japanese-English parallel corpus containing written conversations
+in various business scenarios.
+
+The dataset was constructed in 3 steps:
+  1) selecting business scenes,
+  2) writing monolingual conversation scenarios according to the selected scenes, and
+  3) translating the scenarios into the other language.
+
+Half of the monolingual scenarios were written in Japanese
+and the other half were written in English.
+
+Fields:
+- id: dialogue identifier
+- no: sentence pair number within a dialogue
+- en_speaker: speaker name in English
+- ja_speaker: speaker name in Japanese
+- en_sentence: sentence in English
+- ja_sentence: sentence in Japanese
+- original_language: language in which monolingual scenario was written
+- tag: scenario
+- title: scenario title
+"""
+
+_HOMEPAGE = "https://github.com/tsuruoka-lab/BSD"
+
+_LICENSE = "CC BY-NC-SA 4.0"
+
+_REPO = "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/"
+
+_URLs = {
+    "train": _REPO + "train.json",
+    "dev": _REPO + "dev.json",
+    "test": _REPO + "test.json",
+}
+
+
+class BsdJaEn(datasets.GeneratorBasedBuilder):
+    """Japanese-English Business Scene Dialogue (BSD) dataset. """
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "tag": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "original_language": datasets.Value("string"),
+                "no": datasets.Value("int32"),
+                "en_speaker": datasets.Value("string"),
+                "ja_speaker": datasets.Value("string"),
+                "en_sentence": datasets.Value("string"),
+                "ja_sentence": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URLs)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir["train"],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": data_dir["test"], "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": data_dir["dev"],
+                    "split": "dev",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+
+            for dialogue in data:
+                id_ = dialogue["id"]
+                tag = dialogue["tag"]
+                title = dialogue["title"]
+                original_language = dialogue["original_language"]
+                conversation = dialogue["conversation"]
+
+                for turn in conversation:
+                    sent_no = int(turn["no"])
+                    en_speaker = turn["en_speaker"]
+                    ja_speaker = turn["ja_speaker"]
+                    en_sentence = turn["en_sentence"]
+                    ja_sentence = turn["ja_sentence"]
+
+                    yield id_, {
+                        "id": id_,
+                        "tag": tag,
+                        "title": title,
+                        "original_language": original_language,
+                        "no": sent_no,
+                        "en_speaker": en_speaker,
+                        "ja_speaker": ja_speaker,
+                        "en_sentence": en_sentence,
+                        "ja_sentence": ja_sentence,
+                    }

dataset_infos.json

@@ -0,0 +1 @@
+{"default": {"description": "This is the Business Scene Dialogue (BSD) dataset,\na Japanese-English parallel corpus containing written conversations\nin various business scenarios.\n\nThe dataset was constructed in 3 steps:\n  1) selecting business scenes,\n  2) writing monolingual conversation scenarios according to the selected scenes, and\n  3) translating the scenarios into the other language.\n\nHalf of the monolingual scenarios were written in Japanese\nand the other half were written in English.\n\nFields:\n- id: dialogue identifier\n- no: sentence pair number within a dialogue\n- en_speaker: speaker name in English\n- ja_speaker: speaker name in Japanese\n- en_sentence: sentence in English\n- ja_sentence: sentence in Japanese\n- original_language: language in which monolingual scenario was written\n- tag: scenario\n- title: scenario title\n", "citation": "@inproceedings{rikters-etal-2019-designing,\n    title = \"Designing the Business Conversation Corpus\",\n    author = \"Rikters, Mat\u012bss  and\n      Ri, Ryokan  and\n      Li, Tong  and\n      Nakazawa, Toshiaki\",\n    booktitle = \"Proceedings of the 6th Workshop on Asian Translation\",\n    month = nov,\n    year = \"2019\",\n    address = \"Hong Kong, China\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/D19-5204\",\n    doi = \"10.18653/v1/D19-5204\",\n    pages = \"54--61\"\n}\n", "homepage": "https://github.com/tsuruoka-lab/BSD", "license": "CC BY-NC-SA 4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tag": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "original_language": {"dtype": "string", "id": null, "_type": "Value"}, "no": {"dtype": "int32", "id": null, "_type": "Value"}, "en_speaker": {"dtype": "string", "id": null, "_type": "Value"}, "ja_speaker": {"dtype": "string", "id": null, "_type": "Value"}, "en_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "ja_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "bsd_ja_en", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4778409, "num_examples": 20000, "dataset_name": "bsd_ja_en"}, "test": {"name": "test", "num_bytes": 493038, "num_examples": 2120, "dataset_name": "bsd_ja_en"}, "validation": {"name": "validation", "num_bytes": 477964, "num_examples": 2051, "dataset_name": "bsd_ja_en"}}, "download_checksums": {"https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/train.json": {"num_bytes": 6740756, "checksum": "e011d1b02ed1acdbed5b677b54a3ceae26baaf6cd2a4fea64e4af4ff699c5ffb"}, "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/dev.json": {"num_bytes": 687409, "checksum": "43c11e7d9bdb4ab8ecc83114c82a77c596f98c8845af92fb74c8ca12cc9cfa5c"}, "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/test.json": {"num_bytes": 706880, "checksum": "9da3f8907147b2424671058c93d9f41179ddbd8d0c8298a3e8546c2703174d31"}}, "download_size": 8135045, "post_processing_size": null, "dataset_size": 5749411, "size_in_bytes": 13884456}}

dummy/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03d1da015c68e5c0f0e9bee9939ef361ab9333f036843eeecaa64c56765216a5
+size 25221