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Datasets:
saeedabc
/
wiki727k

Tasks:
Text Classification
Sentence Similarity
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
100K<n<1M
Tags:
text segmentation
document segmentation
topic segmentation
topic shift detection
semantic chunking
chunking
License:
Dataset card Files Community
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Dataset Card for Wiki-727K Dataset

Wiki-727K is a large dataset for text segmentation, automatically extracted and labeled from Wikipedia. It is designed as a sentence-level sequence labeling task for identifying semantic or topic shift in documents.

Dataset Overview

  • Train: 582k
  • Validation: 72k
  • Test: 73k

Features

  • id (string): Document ID.
  • ids (sequence of string): Sentence IDs for each document.
  • sentences (sequence of string): Sentences in each document.
  • titles_mask (sequence of uint8): Mask indicating if a sentence is a title (optional).
  • levels (sequence of uint8): Hierarchical level of each sentence (optional).
  • labels (sequence of class): Binary labels: semantic-continuity or semantic-shift.

Usage

The dataset can be loaded using the HuggingFace datasets library:

from datasets import load_dataset

titled_dataset = load_dataset('saeedabc/wiki727k', num_proc=8, trust_remote_code=True)

untitled_dataset = load_dataset('saeedabc/wiki727k', drop_titles=True, num_proc=8, trust_remote_code=True)

Dataset Details

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