Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 1,352 Bytes
8b268ad
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1671c5e
 
 
8b268ad
1671c5e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 436977682
    num_examples: 49152
  download_size: 267247732
  dataset_size: 436977682
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: odc-by
language:
- en
---


# Gemstone Validation Data
A 100M token split of [dolma](https://huggingface.co/datasets/allenai/dolma) used as validation data for the [Gemstone Suite of Models](https://huggingface.co/collections/tomg-group-umd/gemstone-models-679408ee3f19f1d4d00e8b10). A set of models trained with varying widths and depths.

## Licence
Following the Dolma licence this dataset is released under [ODC-BY](https://opendatacommons.org/licenses/by/1-0/).
By using this dataset, you are also bound any license agreements and terms of use of the original data sources.

## Contact
Please, feel free to contact us with any questions, or open a discussion thread.

# Citation
```
@article{mcleish2024gemstones
    title={Gemstones: A Model Suite for Multi-Faceted Scaling Laws}, 
    author={Sean McLeish and John Kirchenbauer and David Yu Miller and Siddharth Singh and Abhinav Bhatele and Micah Goldblum and Ashwinee Panda and Tom Goldstein},
    journal={arXiv preprint arXiv:2502.06857},
    year={2025},
    url={https://arxiv.org/abs/2502.06857},
}
```