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12
https://en.wikipedia.org/wiki?curid=12
Anarchism
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[[[[0,9]]],[[[0,9],[10,12],[13,14],[15,48],[48,57],[58,68],[68,72],[73,77],[78,87],[88,114],[114,127(...TRUNCATED)
"Anarchism is a political philosophy that advocates self-governed societies based on voluntary insti(...TRUNCATED)
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25
https://en.wikipedia.org/wiki?curid=25
Autism
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"Autism is a neurodevelopmental disorder characterized by impaired social interaction, impaired verb(...TRUNCATED)
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39
https://en.wikipedia.org/wiki?curid=39
Albedo
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"Albedo ( ) is a measure for reflectance or optical brightness (Latin \"albedo,\" \"whiteness\") of (...TRUNCATED)
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290
https://en.wikipedia.org/wiki?curid=290
A
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"A (named , plural \"As\", \"A's\", \"a\"s, \"a's\" or \"aes\" ) is the first letter and the first v(...TRUNCATED)
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303
https://en.wikipedia.org/wiki?curid=303
Alabama
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"Alabama ( ) is a state in the southeastern region of the United States. It is bordered by Tennessee(...TRUNCATED)
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305
https://en.wikipedia.org/wiki?curid=305
Achilles
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307
https://en.wikipedia.org/wiki?curid=307
Abraham Lincoln
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"Abraham Lincoln ( ; February 12, 1809 – April 15, 1865) was an American politician and lawyer wh(...TRUNCATED)
[{"href":"List%20of%20Presidents%20of%20the%20United%20States","text":"16th President of the United (...TRUNCATED)
308
https://en.wikipedia.org/wiki?curid=308
Aristotle
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"Aristotle ( ; Greek: Ἀριστοτέλης , , \"Aristotélēs\"; 384–322 BC) was an ancient G(...TRUNCATED)
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309
https://en.wikipedia.org/wiki?curid=309
An American in Paris
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316
https://en.wikipedia.org/wiki?curid=316
Academy Award for Best Production Design
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"The Academy Award for Best Production Design recognizes achievement for art direction in film. The (...TRUNCATED)
[{"href":"Academy%20Award","text":"Academy Award"},{"href":"art%20direction","text":"art direction"}(...TRUNCATED)
End of preview. Expand in Data Studio

HotpotQA Wikipedia Corpus

This dataset is a processed Wikipedia corpus derived from the HotpotQA Wikipedia dump.

The original dump was downloaded from:

Additional details about the structure and preprocessing of the original HotpotQA Wikipedia dump are available here:


Dataset Description

This dataset is built on top of the original HotpotQA Wikipedia dump without modifying the raw source content.
The original Wikipedia text is preserved as-is, and additional features are derived from it to make the dataset more convenient for downstream NLP and knowledge graph tasks.

In particular, two new features are created by processing the original text field, while keeping the original field intact.


Features

Each row corresponds to a single Wikipedia article and contains the following fields:

  • id
    A unique identifier for the article.

  • url
    The original Wikipedia URL of the article.

  • title
    The article title.

  • charoffset
    Character-level offset information associated with the original text field.

  • text
    The original article content from the HotpotQA Wikipedia dump.

    • NOTE: The features id, url, title, text, and charoffset are unmodified.
  • article
    A cleaned, plain-text version of the article derived from the text field.
    HTML markup has been removed, and anchor tags have been replaced by their visible text to preserve semantic content and readability.

  • links
    A structured list of hyperlinks extracted from the original text field.
    Each entry contains:

    • the visible anchor text
    • the corresponding Wikipedia link target (href)
    • This feature provides human-curated entity references that are useful for entity linking and knowledge graph construction.

Motivation and Use Cases

This dataset is designed to support a wide range of NLP and graph-based applications, including:

  • Multi-hop question answering
  • Retrieval-augmented generation (RAG)
  • Knowledge graph construction
  • Entity linking
  • Relation extraction
  • Large-scale analysis of Wikipedia content

By preserving the original raw text while also providing cleaned text and structured link metadata, the dataset enables flexible experimentation across different pipelines.


Loading the Dataset

from datasets import load_dataset

ds = load_dataset("ParthMandaliya/hotpotqa-wiki", streaming=True, split="train")
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