Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-label-classification
Languages:
English
Size:
10K - 100K
License:
license: cc-by-3.0 | |
annotations_creators: | |
- crowdsourced | |
language: | |
- en | |
language_creators: | |
- crowdsourced | |
multilinguality: | |
- monolingual | |
paperswithcode_id: wikitext-2 | |
pretty_name: Wikipedia Outline of Academic Disciplines | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
tags: | |
- hierarchical | |
- academic | |
- tree | |
- dag | |
- topics | |
- subjects | |
task_categories: | |
- text-classification | |
task_ids: | |
- multi-label-classification | |
# Dataset Card for Wiki Academic Disciplines` | |
## Table of Contents | |
- [Table of Contents](#table-of-contents) | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#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) | |
- [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) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** | |
- **Repository:** | |
- **Paper:** | |
- **Leaderboard:** | |
- **Point of Contact:** | |
### Dataset Summary | |
This dataset was created from the [English wikipedia](https://meta.wikimedia.org/wiki/Data_dump_torrents#English_Wikipedia) dump of January 2022. | |
The main goal was to train a hierarchical classifier of academic subjects using [HiAGM](https://github.com/Alibaba-NLP/HiAGM). | |
### Supported Tasks and Leaderboard | |
Text classification - No leaderboard at the moment. | |
### Languages | |
English | |
## Dataset Structure | |
The dataset consists of groups of labeled text chunks (tokenized by spaces and with stopwords removed). | |
Labels are organized in a hieararchy (a DAG with a special Root node) of academic subjects. | |
Nodes correspond to entries in the [outline of academic disciplines](https://en.wikipedia.org/wiki/Outline_of_academic_disciplines) article from Wikipedia. | |
### Data Instances | |
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. | |
### Data Fields | |
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. | |
### Data Splits | |
80/10/10 TRAIN/TEST/VAL schema | |
## Dataset Creation | |
All texts where extracted following the linked articles on [outline of academic disciplines](https://en.wikipedia.org/wiki/Outline_of_academic_disciplines) | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
Wiki Dump | |
#### Who are the source language producers? | |
Wikipedia community. | |
### Annotations | |
#### Annotation process | |
Texts where automatically assigned to their linked academic discipline | |
#### Who are the annotators? | |
Wikipedia Community. | |
### Personal and Sensitive Information | |
All information is public. | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
Creative Commons 3.0 (see [Wikipedia:Copyrights](https://en.wikipedia.org/wiki/Wikipedia:Copyrights)) | |
### Citation Information | |
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. | |
### Contributions | |
Thanks to [@meliascosta](https://github.com/meliascosta) for adding this dataset. | |