topics
Datasets
All datasets matching “topics”yahoo_answers_topics
Dataset Card for "Yahoo Answers Topics"
Dataset Summary
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Dataset Structure
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Dataset Creation
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Source… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/yahoo_answers_topics.Topic-Statementslaws-topics
[!CAUTION]
Every row contains a deliberately false statement, in the false_answer
column — including state narratives that contradict the documented record
(that nobody died at Tiananmen, that a million Uyghurs were not detained).
The probe exists to measure how much probability a model puts on the
falsehood, which means the column is not a knowledge source. This is a
measuring instrument, not training data. Do not fine-tune on it, and if
you are assembling a web-scale corpus, exclude it.… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/laws-topics.arXiv_Topics
arXiv Topics Dataset
Dataset Summary
The arXiv Topics Dataset provides a structured mapping of arXiv papers to topic categories at three different levels of abstraction. These topic classifications were generated by prompting GPT-4o, ensuring a hierarchical categorization from broad fields to highly specific research areas.
The dataset consists of 2,422,486 paper IDs, each assigned topics across:
Level 1 (Broad Domains): High-level fields such as Computer Science… See the full description on the dataset page: https://huggingface.co/datasets/AliMaatouk/arXiv_Topics.arXiv-Topics-Embeddings
arXiv Topics Embeddings Dataset
Dataset Summary
The arXiv Topics Embeddings Dataset provides embedding representations for topics associated with arXiv papers. Specifically, the dataset contains embeddings of the arXiv Topics Dataset repository and is used at the retriever module of LitBench to identify relevant papers based on user queries by calculating the similarity between these paper embeddings and the embedding representation of the user query. These… See the full description on the dataset page: https://huggingface.co/datasets/AliMaatouk/arXiv-Topics-Embeddings.wikipedia-topicsCreates a pages dataset using Wikipedia.
Explores the 40 root categories and their sub-categories to collect pages. The produced dataset provides up to 2000 pages per category.
See https://github.com/tarekziade/mwcat