Bite Size Data
Collection
Some datasets that are smaller versions that are more convenient to use of some major datasets.
•
10 items
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Updated
Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
The dataset viewer is not available for this split.
Parquet error: Scan size limit exceeded: attempted to read 401298958 bytes, limit is 300000000 bytes
Make sure that
1. the Parquet files contain a page index to enable random access without loading entire row groups2. otherwise use smaller row-group sizes when serializing the Parquet files
Error code: TooBigContentError
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RedPajama-Data-V2-100M
Dataset Description
This is a 100.0 Million token subset of krisbailey/RedPajama-Data-V2-1B, which is a subset of togethercomputer/RedPajama-Data-V2.
Motivation
100M tokens is a standard size for:
- CI/CD Pipelines: Fast enough to download and train for unit tests.
- Debugging: Verifying training loops without waiting for hours.
- Scaling Laws: The first step in a logarithmic scaling series (100M -> 1B -> 10B).
Dataset Details
- Total Tokens: 99,999,721
- Source: krisbailey/RedPajama-Data-V2-1B
- Structure: First ~10% of the randomized 1B dataset.
- Format: Parquet (Snappy compression) - Single File
- Producer: Kris Bailey (kris@krisbailey.com)
Usage
from datasets import load_dataset
ds = load_dataset("krisbailey/RedPajama-Data-V2-100M", split="train")
print(ds[0])
Citation
@article{together2023redpajama,
title={RedPajama: An Open Source Recipe to Reproduce LLaMA training dataset},
author={Together Computer},
journal={https://github.com/togethercomputer/RedPajama-Data},
year={2023}
}
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Size of downloaded dataset files:
401 MB
Size of the auto-converted Parquet files:
401 MB
Number of rows:
79,985