Omkar2118/datasets huggingface dataset:
CMU Motion Capture
Full name: CMU Graphics Lab Motion Capture Database

This dataset of motions is free for all uses.

Please don't crawl this database! Check out the FAQs.

This data is free for use in research projects.
You may include this data in commercially-sold products,
but you may not resell this data directly, even in converted form.
If you publish results obtained using this data, we would appreciate it
if you would send the citation to your published paper to jkh+mocap@cs.cmu.edu,
and also would add this text to your acknowledgments section:
The data used in this project was obtained from mocap.cs.cmu.edu.
The database was created with funding from NSF EIA-0196217.


Note: In this database, the same person may appear under more than one subject number.
Each subject, however, has its own calibrated skeleton.

Note: When browsing for motions, start with the higher numbered subjects first.
The lower numbers contain some of our earliest motion capture sessions, and may not be as high quality.
Note: The "toe" and "hand" joints in our motions tend to be noisy, and may require some smoothing.
The "finger" and "thumb" joints are added to the skeleton for editing convenience
- we do not actually capture these joints' motions and any such data should be ignored.
CodeQA

CodeQA is a free-form question answering dataset for the purpose of source code comprehension: given a code snippet and a question, a textual answer is required to be generated. CodeQA contains a Java dataset with 119,778 question-answer pairs and a Python dataset with 70,085 question-answer pairs. 

Description from: [CodeQA: A Question Answering Dataset for Source Code Comprehension](https://paperswithcode.com/paper/codeqa-a-question-answering-dataset-for)

Introducing paper: CodeQA: A Question Answering Dataset for Source Code Comprehension