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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+---
+annotations_creators:
+- expert-generated
+- no-annotation
+language_creators:
+- expert-generated
+languages:
+- th
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for Thai Literature Corpora (TLC)
+
+## 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:** https://attapol.github.io/tlc.html
+- **Leaderboard:** https://www.kaggle.com/c/wisesight-sentiment/
+- **Paper:**
+- **Leaderboard:** 
+- **Point of Contact:**  Jitkapat Sawatphol, Attapol Rutherford; attapolrutherford at gmail.com
+
+### Dataset Summary
+Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.
+
+It consists of two datasets:
+
+## TLC set
+It is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).
+
+tlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)
+tlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)
+
+## TNHC set
+It is texts from Thai National Historical Corpus, stored by lines (manually tokenized).
+
+tnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)
+
+### Supported Tasks and Leaderboards
+
+Language Modeling, Language Generation
+
+
+### Languages
+
+Thai
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+    "ch_num": "๑",
+    "title": "กากี กลอนสุภาพ",
+    "text": [
+      [
+        "๏ จักกล่าวอดีตนิทานแต่ปางก่อน\n",
+        "เมื่อครั้งองค์สมเด็จพระชินวร\tยังสัญจรแสวงหาโพธิญาณ\n",
+        "เสวยชาติเป็นสกุณาพระยานก\tจึงชักเรื่องชาดกมาบรรหาร\n",
+        "หวังแสดงแห่งจิตหญิงพาล\tให้ชายชาญรู้เชิงกระสัตรี ฯ\n"
+      ]
+}
+```
+
+### Data Fields
+
+- `ch_num`: chapter number in Thai Numerals (๑, ๒, ๓, ๔, ๕, ๖, ๗, ๘, ๙, ๑๐, ...)  
+- `title`: chapter name
+- `text`: each item corresponds to one stanzas, each line is a couplet which can be seperated by `\t`
+
+### Data Splits
+
+tlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)
+tlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)
+
+## TNHC set
+It is texts from Thai National Historical Corpus, stored by lines (manually tokenized).
+
+tnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)
+
+|           | tlc2.0 | tlc1.0 | tnhc  |
+|-----------|-------|-------|-------|
+| # documents | 34 | 25  | 47  |
+| # lines     | 292,270 | 113,981  | 756,478  |
+
+## Dataset Creation
+
+### Curation Rationale
+
+Originally, the dataset was compiled for the [Thai Poetry Generator](https://github.com/jitkapat/thaipoetrygenerator) at Chulalongkorn university as the Final project for `2209372 Introduction to Computational Linguistics` by [Jitkapat Sawatphol](https://jitkapat.github.io/) (Faculty of Engineering, Chulalongkorn University).
+
+### 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
+
+There is no personal information.
+
+## 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
+
+Thanks [Jitkapat Sawatphol](https://jitkapat.github.io/) (Faculty of Arts, Chulalongkorn University), and [Attapol Rutherford](https://attapol.github.io/) (Faculty of Arts, Chulalongkorn University)
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+Please cite the following if you make use of the dataset:
+
+Jitkapat Sawatphol, and Attapol Rutherford. 2019. **Thai Literature Corpora (TLC)**.
+
+BibTeX:
+```
+@misc{
+  author={Sawatphol, Jitkapat},
+  title={Thai Literature Corpora},
+  year={2019},
+  howpublished={\\url{https://attapol.github.io/tlc.html}}
+}
+```

dataset_infos.json

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+{"tlcv2.0": {"description": "Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.\n\nRelease: 6/25/19\n\nIt consists of two datasets:\n\n## TLC set\nIt is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).\n\ntlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)\ntlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)\n\n## TNHC set\nIt is texts from Thai National Historical Corpus, stored by lines (manually tokenized).\n\ntnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)\n", "citation": "@misc{\n  author={Sawatphol, Jitkapat},\n  title={Thai Literature Corpora},\n  year={2019},\n  howpublished={\\url{https://attapol.github.io/tlc.html}}\n}\n", "homepage": "https://attapol.github.io/tlc.html", "license": "", "features": {"ch_num": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tlc", "config_name": "tlcv2.0", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32498, "num_examples": 1, "dataset_name": "tlc"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1S2T72b3Kkcvy4XZcxwIipoRn6ELa4hhV": {"num_bytes": 5551710, "checksum": "56aff251d17a33b4c6a12d2b41c9fe6aaa676d08a87d12e253f465107b13ae88"}}, "download_size": 5551710, "post_processing_size": null, "dataset_size": 32498, "size_in_bytes": 5584208}, "tlcv1.0": {"description": "Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.\n\nRelease: 6/25/19\n\nIt consists of two datasets:\n\n## TLC set\nIt is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).\n\ntlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)\ntlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)\n\n## TNHC set\nIt is texts from Thai National Historical Corpus, stored by lines (manually tokenized).\n\ntnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)\n", "citation": "@misc{\n  author={Sawatphol, Jitkapat},\n  title={Thai Literature Corpora},\n  year={2019},\n  howpublished={\\url{https://attapol.github.io/tlc.html}}\n}\n", "homepage": "https://attapol.github.io/tlc.html", "license": "", "features": {"ch_num": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tlc", "config_name": "tlcv1.0", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32498, "num_examples": 1, "dataset_name": "tlc"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=15E64fwMeAff0bAsFGaSsv9NYeVHn1drE": {"num_bytes": 2904472, "checksum": "9b27c79bfde97960f4cb3530a2e6a89360c219c0530e8aea593883f4847214df"}}, "download_size": 2904472, "post_processing_size": null, "dataset_size": 32498, "size_in_bytes": 2936970}, "tnhcv1.0": {"description": "Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.\n\nRelease: 6/25/19\n\nIt consists of two datasets:\n\n## TLC set\nIt is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).\n\ntlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)\ntlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)\n\n## TNHC set\nIt is texts from Thai National Historical Corpus, stored by lines (manually tokenized).\n\ntnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)\n", "citation": "@misc{\n  author={Sawatphol, Jitkapat},\n  title={Thai Literature Corpora},\n  year={2019},\n  howpublished={\\url{https://attapol.github.io/tlc.html}}\n}\n", "homepage": "https://attapol.github.io/tlc.html", "license": "", "features": {"text": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tlc", "config_name": "tnhcv1.0", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 25198, "num_examples": 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tlc.py

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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+_CITATION = """\
+@misc{
+  author={Sawatphol, Jitkapat},
+  title={Thai Literature Corpora},
+  year={2019},
+  howpublished={\\url{https://attapol.github.io/tlc.html}}
+}
+"""
+
+_HOMEPAGE = "https://attapol.github.io/tlc.html"
+
+_DESCRIPTION = """\
+Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.
+
+Release: 6/25/19
+
+It consists of two datasets:
+
+## TLC set
+It is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).
+
+tlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)
+tlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)
+
+## TNHC set
+It is texts from Thai National Historical Corpus, stored by lines (manually tokenized).
+
+tnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)
+"""
+
+_URLs = {
+    "tlcv1.0": "https://drive.google.com/uc?export=download&id=15E64fwMeAff0bAsFGaSsv9NYeVHn1drE",
+    "tlcv2.0": "https://drive.google.com/uc?export=download&id=1S2T72b3Kkcvy4XZcxwIipoRn6ELa4hhV",
+    "tnhcv1.0": "https://drive.google.com/uc?export=download&id=1T_ib-NOwQV6O6lEjCjvZReUA3pQ4h-gD",
+}
+
+
+class TlcConfig(datasets.BuilderConfig):
+    """BuilderConfig for Tlc."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Tlc.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(TlcConfig, self).__init__(**kwargs)
+
+
+class Tlc(datasets.GeneratorBasedBuilder):
+    """Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="tlcv1.0", version=datasets.Version("1.0.0"), description="Thai Literature Corpora"
+        ),
+        datasets.BuilderConfig(
+            name="tlcv2.0", version=datasets.Version("2.0.0"), description="Thai Literature Corpora"
+        ),
+        datasets.BuilderConfig(
+            name="tnhcv1.0",
+            version=datasets.Version("1.0.0"),
+            description="Thai Literature Corpora: Thai National Historical Corpus",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "tlcv2.0"
+
+    def _info(self):
+        if self.config.name.startswith("tlc"):
+            features = datasets.Features(
+                {
+                    "ch_num": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "text": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "text": datasets.Sequence((datasets.Value("string"))),
+                }
+            )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_path = dl_manager.download_and_extract(_URLs[self.config.name])
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"directory": data_path},
+            )
+        ]
+
+    def _generate_examples(self, directory):
+        if self.config.name.startswith("tlc"):
+            files = [os.path.join(directory, "นิราศอิเหนา.json")]
+        else:
+            files = [os.path.join(directory, "กาพย์เห่เรือ.json")]
+
+        _id = 0
+        for txt_file in files:
+            data = json.load(open(txt_file, encoding="utf-8"))
+            for d in data:
+                if self.config.name.startswith("tlc"):
+                    yield _id, d
+                else:
+                    yield _id, {"text": d}
+                _id += 1