https://github.com/Yale-LILY/TutorialBank

https://github.com/Yale-LILY/TutorialBank

classification concept-prerequisite-learning learning-resources nlp nlp-resources survey-extraction

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/Yale-LILY/TutorialBank
• Owner: Yale-LILY
• Created: 2018-05-11T22:34:41.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-01-18T18:36:45.000Z (almost 2 years ago)
• Last Synced: 2024-07-27T19:44:24.010Z (4 months ago)
• Topics: classification, concept-prerequisite-learning, learning-resources, nlp, nlp-resources, survey-extraction
• Language: HTML
• Size: 5.03 MB
• Stars: 90
• Watchers: 13
• Forks: 16
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LILY TutorialBank

This is the repo for the TutorialBank Corpus. 

## Resource Update - Jan, 2023

In this update, we include [resources-v2023-clean.tsv](https://github.com/Yale-LILY/TutorialBank/blob/master/resources-v2023-clean.tsv), containing 20243 resources with valid URL, meta-data and well-annotated topics, including around 500 new resources annotated recently.

## Resource Update - May, 2022

In this update, we include [resources-v2022-clean.tsv](https://github.com/Yale-LILY/TutorialBank/blob/master/resources-v2022-clean.tsv), containing 19765 resources with valid URL, meta-data and well-annotated topics.

We also release an extra batch of 5001 resources [resources-v2022-extra.tsv](https://github.com/Yale-LILY/TutorialBank/blob/master/resources-v2022-extra.tsv). These resources have valid URLs but some meta-data or topic annotation is missing. 

**Pervious version are under the [`TB-Paper/data`](https://github.com/Yale-LILY/TutorialBank/tree/master/TB-Paper/data) folder.**

## Code and Data for our Paper

If you want to replicate our 2018 ACL paper [TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation](https://aclanthology.org/P18-1057), please visit the [`TB-Paper`](https://github.com/Yale-LILY/TutorialBank/tree/master/TB-Paper) folder for the coresponding source code and data.

## Other resources

Please visit our website [AAN.how](https://aan.how/).