Update files from the datasets library (from 1.2.0)

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

.gitattributes

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+*.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
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README.md

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+---
+task_categories:
+- sequence-modeling
+multilinguality:
+- translation
+task_ids:
+- language-modeling
+languages:
+- hi
+- te
+- ta
+- ml
+- gu
+- ur
+- bn
+- or
+- mr
+- pa
+- en
+annotations_creators:
+- no-annotation
+source_datasets:
+- original
+size_categories:
+- 1K<n<10K
+licenses:
+- cc-by-4-0
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Card Creation Guide](#dataset-card-creation-guide)
+  - [Table of Contents](#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)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [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:** [Link](http://preon.iiit.ac.in/~jerin/bhasha/) 
+- **Repository:**
+- **Paper:** [ARXIV](https://arxiv.org/abs/2007.07691)
+- **Leaderboard:** 
+- **Point of Contact:** cvit-bhasha@googlegroups.com
+
+### Dataset Summary
+
+Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.
+
+### Supported Tasks and Leaderboards
+
+[MORE INFORMATION NEEDED]
+
+### Languages
+
+Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English
+
+## Dataset Structure
+
+### Data Instances
+
+[MORE INFORMATION NEEDED]
+
+### Data Fields
+
+- `src_tag`: `string` text in source language
+- `tgt_tag`: `string` translation of source language in target language
+
+### 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
+
+#### 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
+
+The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License.
+
+### Citation Information
+
+```
+@misc{siripragada2020multilingual,
+      title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
+      author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
+      year={2020},
+      eprint={2007.07691},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

dataset_infos.json

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mkb.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.
+"""Mann Ki Baat (mkb) Corpus"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """\
+@misc{siripragada2020multilingual,
+      title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
+      author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
+      year={2020},
+      eprint={2007.07691},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+The Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.
+"""
+
+_URL = "http://preon.iiit.ac.in/~jerin/resources/datasets/mkb-v0.tar"
+
+_LanguagePairs = [
+    "or-ur",
+    "ml-or",
+    "bn-ta",
+    "gu-mr",
+    "hi-or",
+    "en-or",
+    "mr-ur",
+    "en-ta",
+    "hi-ta",
+    "bn-en",
+    "bn-or",
+    "ml-ta",
+    "gu-ur",
+    "bn-ml",
+    "bn-hi",
+    "gu-te",
+    "hi-ml",
+    "or-te",
+    "en-ml",
+    "en-hi",
+    "mr-te",
+    "bn-te",
+    "gu-hi",
+    "ta-ur",
+    "te-ur",
+    "gu-ml",
+    "hi-te",
+    "en-te",
+    "ml-te",
+    "hi-ur",
+    "mr-or",
+    "en-ur",
+    "ml-ur",
+    "bn-mr",
+    "gu-ta",
+    "bn-gu",
+    "bn-ur",
+    "ml-mr",
+    "or-ta",
+    "ta-te",
+    "gu-or",
+    "en-gu",
+    "hi-mr",
+    "mr-ta",
+    "en-mr",
+]
+
+
+class MkbConfig(datasets.BuilderConfig):
+    """BuilderConfig for Mkb"""
+
+    def __init__(self, language_pair, **kwargs):
+        super().__init__(**kwargs)
+        """
+
+        Args:
+            language_pair: language pair, you want to load
+            **kwargs: keyword arguments forwarded to super.
+        """
+        self.language_pair = language_pair
+
+
+class Mkb(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("0.0.0")
+
+    BUILDER_CONFIG_CLASS = MkbConfig
+    BUILDER_CONFIGS = [MkbConfig(name=pair, description=_DESCRIPTION, language_pair=pair) for pair in _LanguagePairs]
+
+    def _info(self):
+        src_tag, tgt_tag = self.config.language_pair.split("-")
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"translation": datasets.features.Translation(languages=(src_tag, tgt_tag))}),
+            supervised_keys=(src_tag, tgt_tag),
+            homepage="http://preon.iiit.ac.in/~jerin/resources/datasets/mkb-v0.tar",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        lang_pair = self.config.language_pair
+        src_tag, tgt_tag = lang_pair.split("-")
+
+        dl_dir = dl_manager.download_and_extract(_URL)
+        data_dir = os.path.join(dl_dir, "mkb", lang_pair)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, f"mkb.{src_tag}"),
+                    "labelpath": os.path.join(data_dir, f"mkb.{tgt_tag}"),
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, labelpath):
+        """ Yields examples. """
+        src_tag, tgt_tag = self.config.language_pair.split("-")
+        with open(filepath, encoding="utf-8") as f1, open(labelpath, encoding="utf-8") as f2:
+            src = f1.read().split("\n")[:-1]
+            tgt = f2.read().split("\n")[:-1]
+            for idx, (s, t) in enumerate(zip(src, tgt)):
+                yield idx, {"translation": {src_tag: s, tgt_tag: t}}