text-machine-lab/vocab_filtered_dataset_22B
Dataset Card for "vocab_filtered_dataset_22B" Dataset Summary This data is the simplified vocabulary-filtered pretraining data published by "Emergent Abilities in Reduced-Scale Generative Language Models". The vocabulary is derived from the AO-Childes speech corpus (https://github.com/UIUCLearningLanguageLab/AOCHILDES) We filter the train split of SlimPajama dataset (https://huggingface.co/datasets/cerebras/SlimPajama-627B) based on the AO-Childes vocabulary… See the full description on the dataset page: https://huggingface.co/datasets/text-machine-lab/vocab_filtered_dataset_22B.
Dataset Card for "vocabfiltereddataset_22B"
Dataset Description
- Paper: https://arxiv.org/abs/2404.02204
- Point of Contact: sherinbojappa_muckatira@student.uml.edu
Dataset Summary
This data is the simplified vocabulary-filtered pretraining data published by "Emergent Abilities in Reduced-Scale Generative Language Models". The vocabulary is derived from the AO-Childes speech corpus (https://github.com/UIUCLearningLanguageLab/AOCHILDES) We filter the train split of SlimPajama dataset (https://huggingface.co/datasets/cerebras/SlimPajama-627B) based on the AO-Childes vocabulary retaining spans which contain integers, symbols, and words that belong to the AO-Childes vocabulary. Around 1.5% of Out of Vocabulary words are also allowed. A contiguous span of 32 tokens are selected. A span is delimited by start of span <s> and end of span </s> symbols.
Citation Information
If this dataset is useful to you please cite our work.
@misc{muckatira2024emergent,
title={Emergent Abilities in Reduced-Scale Generative Language Models},
author={Sherin Muckatira and Vijeta Deshpande and Vladislav Lialin and Anna Rumshisky},
year={2024},
eprint={2404.02204},
archivePrefix={arXiv},
primaryClass={cs.CL}
}