datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
duorc
Dataset Card for duorc
Dataset Summary
The DuoRC dataset is an English language dataset of questions and answers gathered from crowdsourced AMT workers on Wikipedia and IMDb movie plots. The workers were given freedom to pick answer from the plots or synthesize their own answers. It contains two sub-datasets - SelfRC and ParaphraseRC. SelfRC dataset is built on Wikipedia movie plots solely. ParaphraseRC has questions written from Wikipedia movie plots and the answers are… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/duorc.ml-ai-engineer-sft
DuoNeural ML/AI Engineer SFT Dataset
A synthetic instruction-tuning dataset for training an LLM to be a useful pairing partner on ML/AI engineering work — debugging training runs, reasoning about architecture and infra choices, reviewing experiment design, and explaining core ML concepts with the specificity of someone who's actually run the experiments.
Why this dataset exists
Most general instruction-tuning data treats ML engineering questions the same as any… See the full description on the dataset page: https://huggingface.co/datasets/DuoNeural/ml-ai-engineer-sft.kor_duorc
Dataset Card for duorc
Licensing Information
MIT License
Source Data Citation Information
@inproceedings{DuoRC,
author = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},
title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},
booktitle = {Meeting of the Association for Computational Linguistics (ACL)},
year = {2018}
}