Update files from the datasets library (from 1.7.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.7.0

README.md

@@ -17,6 +17,7 @@ task_categories:
 - text-classification
 task_ids:
 - sentiment-classification
+paperswithcode_id: null
 ---
 
 # Dataset Card for Turkish Product Reviews
@@ -24,19 +25,20 @@ task_ids:
 ## Table of Contents
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
-  - [Data Fields](#data-instances)
-  - [Data Splits](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
 - [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)
+  - [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)

turkish_product_reviews.py

@@ -51,7 +51,7 @@ class TurkishProductReviews(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath, filenames):
         """Generate TurkishProductReviews examples."""
         logger.info("⏳ Generating examples from = %s", filepath)
-        for f in sorted(filenames):
+        for file_idx, f in enumerate(sorted(filenames)):
             filename, file_extension = os.path.splitext(f)
             label = "negative" if file_extension == "neg" else "positive"
 
@@ -59,7 +59,7 @@ class TurkishProductReviews(datasets.GeneratorBasedBuilder):
             with open(file_fullpath, encoding="utf-8") as f:
                 for idx, line in enumerate(f):
                     line = line.strip()
-                    yield idx, {
+                    yield f"{file_idx}_{idx}", {
                         "sentence": line,
                         "sentiment": label,
                     }