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  license: cc-by-3.0
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  license: cc-by-3.0
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+ ---
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+ TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
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+ ---
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+
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+ # Dataset Card for [Dataset Name]
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ - **Repository:**
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ This dataset was created from the [English wikipedia](https://meta.wikimedia.org/wiki/Data_dump_torrents#English_Wikipedia) dump of January 2022.
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+ The main goal was to train a hierarchical classifier of academic subjects using [HiAGM](https://github.com/Alibaba-NLP/HiAGM).
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+
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+ ### Supported Tasks and Leaderboard
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+ Text classification - No leaderboard at the moment.
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+
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+ The dataset consists of groups of labeled text chunks (tokenized by spaces and with stopwords removed).
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+ Labels are organized in a hieararchy (a DAG with a special Root node) of academic subjects.
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+ Nodes correspond to entries in the [outline of academic disciplines](https://en.wikipedia.org/wiki/Outline_of_academic_disciplines) article from Wikipedia.
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+
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+ ### Data Instances
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+
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+ Data is split in train/test/val each on a separate `.jsonl` file. Label hierarchy is listed a as TAB separated adjacency list on a `.taxonomy` file.
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+ ### Data Fields
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+
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+ JSONL files contain only two fields: a "token" field which holds the text tokens and a "label" field which holds a list of labels for that text.
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+
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+ ### Data Splits
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+
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+ 80/10/10 TRAIN/TEST/VAL schema
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+
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+ ## Dataset Creation
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+
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+ All texts where extracted following the linked articles on [outline of academic disciplines](https://en.wikipedia.org/wiki/Outline_of_academic_disciplines)
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+ Wiki Dump
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+
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+ #### Who are the source language producers?
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+ Wikipedia community.
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+ Texts where automatically assigned to their linked academic discipline
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+
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+ #### Who are the annotators?
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+
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+ Wikipedia Community.
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+
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+ ### Personal and Sensitive Information
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+ All information is public.
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+
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+ ### Discussion of Biases
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+ Creative Commons 3.0 (see [Wikipedia:Copyrights](https://en.wikipedia.org/wiki/Wikipedia:Copyrights))
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+ ### Citation Information
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+ 1. Zhou, Jie, et al. "Hierarchy-aware global model for hierarchical text classification." Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
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+ ### Contributions
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+ Thanks to [@meliascosta](https://github.com/meliascosta) for adding this dataset.