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
+language_creators:
+- expert-generated
+languages:
+- te
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+ # Dataset Card for [telugu_books]
+
+ ## 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:**
+
+ [Telugu Books](https://www.kaggle.com/sudalairajkumar/telugu-nlp)
+
+ - **Repository:**
+ - **Paper:**
+ - **Leaderboard:**
+ - **Point of Contact:**
+
+ ### Dataset Summary
+
+This dataset is created by scraping telugu novels from teluguone.com this dataset can be used for nlp tasks like topic modeling, word embeddings, transfer learning etc
+
+ ### Supported Tasks and Leaderboards
+
+ [More Information Needed]
+
+ ### Languages
+
+TE - Telugu
+
+ ## Dataset Structure
+
+ ### Data Instances
+
+ [More Information Needed]
+
+ ### Data Fields
+
+ - Text: Sentence from a novel
+
+ ### Data Splits
+
+ [More Information Needed]
+
+ ## Dataset Creation
+
+ ### Curation Rationale
+
+ [More Information Needed]
+
+ ### Source Data
+
+ #### Initial Data Collection and Normalization
+
+ [More Information Needed]
+
+ #### Who are the source language producers?
+
+ Anusha Motamarri
+
+ ### Annotations
+
+ #### Annotation process
+
+ Anusha Motamarri
+
+ #### Who are the annotators?
+
+ Anusha Motamarri
+
+ ### 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
+
+ [More Information Needed]

dummy/1.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:712ecb81cfb84e571e2a6608bb14a9b3978cf0ee531efe17e7162e264ba6a0ba
+size 2320

telugu_books.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.
+"""Telugu Books Dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Indic NLP - Natural Language Processing for Indian Languages},
+authors = {Sudalai Rajkumar, Anusha Motamarri},
+year={2019}
+}
+"""
+
+_DESCRIPTION = """\
+This dataset is created by scraping telugu novels from teluguone.com this dataset can be used for nlp tasks like topic modeling, word embeddings, transfer learning etc
+"""
+
+_HOMEPAGE = "https://www.kaggle.com/sudalairajkumar/telugu-nlp"
+
+_LICENSE = "Data files © Original Authors"
+
+_FILENAME = "telugu_books.csv"
+
+
+class TeluguBooks(datasets.GeneratorBasedBuilder):
+    """Telugu novels"""
+
+    VERSION = datasets.Version("1.1.0")
+
+    @property
+    def manual_download_instructions(self):
+        return """\
+    You need to go to https://www.kaggle.com/sudalairajkumar/telugu-nlp,
+    and manually download the telugu_books. Once it is completed,
+    a file named telugu_books.zip will be appeared in your Downloads folder
+    or whichever folder your browser chooses to save files to. You then have
+    to unzip the file and move telugu_books,csv under <path/to/folder>.
+    The <path/to/folder> can e.g. be "~/manual_data".
+    telugu_books can then be loaded using the following command `datasets.load_dataset("telugu_books", data_dir="<path/to/folder>")`.
+    """
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": 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."""
+        path_to_manual_file = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
+        if not os.path.exists(path_to_manual_file):
+            raise FileNotFoundError(
+                "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('telugu_books', data_dir=...)` that includes file name {}. Manual download instructions: {}".format(
+                    path_to_manual_file,
+                    _FILENAME,
+                    self.manual_download_instructions,
+                )
+            )
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(path_to_manual_file, "telugu_books.csv"),
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(csv_file)
+            for id_, row in enumerate(csv_reader):
+                _, text = row
+                yield id_, {"text": text}