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:
+- found
+language_creators:
+- found
+languages:
+- tr
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+task_categories:
+- text_classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for Turkish Product Reviews
+
+## 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)
+  - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-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
+
+- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
+- **Point of Contact:** [Fatih Barmanbay](https://github.com/fthbrmnby)
+
+### Dataset Summary
+
+This Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
+
+### Languages
+
+The dataset is based on Turkish.
+
+## Dataset Structure
+
+### Data Instances
+
+**Example 1:**
+
+**sentence:** beklentimin altında bir ürün kaliteli değil
+
+**sentiment:** 0 (negative)
+
+**Example 2:**
+
+**sentence:** fiyat ve performans olarak gayet iyi
+
+**sentiment:** 1 (positive)
+
+
+### Data Fields
+
+- **sentence**(string) : Contatins turkish product review
+- **sentiment**(int) : 0 (negative) or 1 (positive)
+
+### Data Splits
+
+It is not divided into Train set and Test set.
+
+## 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
+
+The dataset does not contain any additional 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
+
+### Discussion of Social Impact and Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+The dataset was created by [Fatih Barmanbay](https://github.com/fthbrmnby).  
+
+### Licensing Information
+
+The data is under the [CC-BY-SA-4.0 License](https://github.com/fthbrmnby/turkish-text-data/blob/master/LICENCE)
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "\nTurkish Product Reviews.\nThis repository contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.\n", "citation": "", "homepage": "https://github.com/fthbrmnby/turkish-text-data", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "turkish_product_reviews", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 43369710, "num_examples": 235165, "dataset_name": "turkish_product_reviews"}}, "download_checksums": {"https://github.com/fthbrmnby/turkish-text-data/raw/master/reviews.tar.gz": {"num_bytes": 13184332, "checksum": "dd1013e7413cd5d2dd897ea38c067302667a942e44ecb5e3cb36dea55aeeb09f"}}, "download_size": 13184332, "post_processing_size": null, "dataset_size": 43369710, "size_in_bytes": 56554042}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c28d09dc7076439e93a7a2a843171cb51096d2fb29142565a6b3782b535f501
+size 1063

turkish_product_reviews.py

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+"""Turkish Product Reviews"""
+
+from __future__ import absolute_import, division, print_function
+
+import logging
+import os
+
+import datasets
+
+
+_CITATION = ""
+
+_DESCRIPTION = """
+Turkish Product Reviews.
+This repository contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
+"""
+
+_URL = "https://github.com/fthbrmnby/turkish-text-data/raw/master/reviews.tar.gz"
+_FILES_PATHS = ["reviews.pos", "reviews.neg"]
+
+_HOMEPAGE = "https://github.com/fthbrmnby/turkish-text-data"
+
+
+class TurkishProductReviews(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "sentiment": datasets.ClassLabel(names=["negative", "positive"]),
+                }
+            ),
+            citation=_CITATION,
+            homepage=_HOMEPAGE,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_paths = dl_manager.download_and_extract(_URL)
+        filenames = list(os.listdir(dl_paths))
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_paths, "filenames": filenames}
+            ),
+        ]
+
+    def _generate_examples(self, filepath, filenames):
+        """Generate TurkishProductReviews examples."""
+        logging.info("⏳ Generating examples from = %s", filepath)
+        for f in sorted(filenames):
+            filename, file_extension = os.path.splitext(f)
+            label = "negative" if file_extension == "neg" else "positive"
+
+            file_fullpath = os.path.join(filepath, f)
+            with open(file_fullpath, encoding="utf-8") as f:
+                for idx, line in enumerate(f):
+                    line = line.strip()
+                    yield idx, {
+                        "sentence": line,
+                        "sentiment": label,
+                    }