Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+task_categories:
+- text-classification
+multilinguality:
+- multilingual
+task_ids:
+- text-classification-other-language-identification
+languages:
+- hi
+- awa
+- bho
+- mag
+- bra
+annotations_creators:
+- unknown
+source_datasets:
+- original
+size_categories:
+- 10K<n<100K
+licenses:
+- unknown
+---
+
+# 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:** [GitHub](https://github.com/kmi-linguistics/vardial2018)
+- **Repository:** [GitHub](https://github.com/kmi-linguistics/vardial2018)
+- **Paper:** [Link](https://www.aclweb.org/anthology/W18-3900/)
+- **Leaderboard:**
+- **Point of Contact:** linguistics.kmi@gmail.com
+
+### Dataset Summary
+
+This datasets is introduced in a task which aimed at identifying 5 closely-related languages of Indo-Aryan language family – Hindi (also known as Khari Boli), Braj Bhasha, Awadhi, Bhojpuri and Magahi. These languages form part of a continuum starting from Western Uttar Pradesh (Hindi and Braj Bhasha) to Eastern Uttar Pradesh (Awadhi and Bhojpuri) and the neighbouring Eastern state of Bihar (Bhojpuri and Magahi). For this task, participants were provided with a dataset of approximately 15,000 sentences in each language, mainly from the domain of literature, published over the web as well as in print.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+ Hindi, Braj Bhasha, Awadhi, Bhojpuri and Magahi
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+    "language_id": 4,
+    "text": 'तभी बारिश हुई थी जिसका गीलापन इन मूर्तियों को इन तस्वीरों में एक अलग रूप देता है .'
+}
+```
+
+### Data Fields
+
+- `text`: text which you want to classify
+- `language_id`: label for the text as an integer from 0 to 4
+The language ids correspond to the following languages: "AWA", "BRA", "MAG", "BHO", "HIN".
+
+### Data Splits
+
+|                      | train | valid | test  |
+|----------------------|-------|-------|-------|
+| # of input sentences | 70351 | 9692  | 10329 |
+
+## 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
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@proceedings{ws-2018-nlp-similar,
+    title = "Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)",
+    editor = {Zampieri, Marcos  and
+      Nakov, Preslav  and
+      Ljube{\v{s}}i{\'c}, Nikola  and
+      Tiedemann, J{\"o}rg  and
+      Malmasi, Shervin  and
+      Ali, Ahmed},
+    month = aug,
+    year = "2018",
+    address = "Santa Fe, New Mexico, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/W18-3900",
+}
+```

dataset_infos.json

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+{"default": {"description": "This dataset is introduced in a task which aimed at identifying 5 closely-related languages of Indo-Aryan language family \u2013\nHindi (also known as Khari Boli), Braj Bhasha, Awadhi, Bhojpuri, and Magahi.\n", "citation": "@proceedings{ws-2018-nlp-similar,\n    title = \"Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)\",\n    editor = {Zampieri, Marcos  and\n      Nakov, Preslav  and\n      Ljube{\u000b{s}}i{'c}, Nikola  and\n      Tiedemann, J{\"o}rg  and\n      Malmasi, Shervin  and\n      Ali, Ahmed},\n    month = aug,\n    year = \"2018\",\n    address = \"Santa Fe, New Mexico, USA\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/W18-3900\",\n}\n", "homepage": "https://github.com/kmi-linguistics/vardial2018", "license": "", "features": {"language_id": {"num_classes": 5, "names": ["AWA", "BRA", "MAG", "BHO", "HIN"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ilist", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14362998, "num_examples": 70351, "dataset_name": "ilist"}, "test": {"name": "test", "num_bytes": 2146857, "num_examples": 9692, "dataset_name": "ilist"}, "validation": {"name": "validation", "num_bytes": 2407643, "num_examples": 10329, "dataset_name": "ilist"}}, "download_checksums": {"https://raw.githubusercontent.com/kmi-linguistics/vardial2018/master/dataset/train.txt": {"num_bytes": 13870509, "checksum": "1bd3ae96dc17ce44278cff256972649b510d6d8595f420e95bc8284f207e2678"}, "https://raw.githubusercontent.com/kmi-linguistics/vardial2018/master/dataset/gold.txt": {"num_bytes": 2079009, "checksum": "72909da09ed1c1f3710c879ca5b69282e483ce60fe7d90497cfbca46016da704"}, "https://raw.githubusercontent.com/kmi-linguistics/vardial2018/master/dataset/dev.txt": {"num_bytes": 2335332, "checksum": "2ef7944502bb2ee49358873e5d9de241f0a8a8b8a9b88e3e8c37873afd783797"}}, "download_size": 18284850, "post_processing_size": null, "dataset_size": 18917498, "size_in_bytes": 37202348}}

dummy/0.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:52766145a64cced80bb6ba562dd810a29090a2aa24b0970f983f083bb83f2f53
+size 1811

ilist.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.
+"""Indo-Aryan Language Identification Shared Task Dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+_CITATION = """\
+@proceedings{ws-2018-nlp-similar,
+    title = "Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)",
+    editor = {Zampieri, Marcos  and
+      Nakov, Preslav  and
+      Ljube{\v{s}}i{\'c}, Nikola  and
+      Tiedemann, J{\"o}rg  and
+      Malmasi, Shervin  and
+      Ali, Ahmed},
+    month = aug,
+    year = "2018",
+    address = "Santa Fe, New Mexico, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/W18-3900",
+}
+"""
+
+_DESCRIPTION = """\
+This dataset is introduced in a task which aimed at identifying 5 closely-related languages of Indo-Aryan language family –
+Hindi (also known as Khari Boli), Braj Bhasha, Awadhi, Bhojpuri, and Magahi.
+"""
+
+_URL = "https://raw.githubusercontent.com/kmi-linguistics/vardial2018/master/dataset/{}.txt"
+
+
+class Ilist(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "language_id": datasets.ClassLabel(names=["AWA", "BRA", "MAG", "BHO", "HIN"]),
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/kmi-linguistics/vardial2018",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        filepaths = dl_manager.download_and_extract(
+            {
+                "train": _URL.format("train"),
+                "test": _URL.format("gold"),
+                "dev": _URL.format("dev"),
+            }
+        )
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": filepaths["train"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": filepaths["test"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": filepaths["dev"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """ Yields examples. """
+        with open(filepath, "r", encoding="utf-8") as file:
+            for idx, row in enumerate(file):
+                row = row.strip("\n").split("\t")
+                if len(row) == 1:
+                    continue
+                yield idx, {"language_id": row[1], "text": row[0]}