Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10M - 100M
ArXiv:
License:
Update README.md
Browse files
README.md
CHANGED
@@ -17,7 +17,7 @@ size_categories:
|
|
17 |
<img src="prox-teaser.png">
|
18 |
</p>
|
19 |
|
20 |
-
[ArXiv](http://arxiv.org/abs/
|
21 |
|
22 |
fineweb-pro is refined from [fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)(350BT sample) using the **ProX** refining framework.
|
23 |
It contains about 100B high quality tokens, ready for general language model pre-training.
|
@@ -28,6 +28,10 @@ fineweb-pro is based on fineweb, which is made available under an ODC-By 1.0 lic
|
|
28 |
|
29 |
### Citation
|
30 |
```
|
31 |
-
@
|
|
|
|
|
|
|
|
|
32 |
}
|
33 |
```
|
|
|
17 |
<img src="prox-teaser.png">
|
18 |
</p>
|
19 |
|
20 |
+
[ArXiv](http://arxiv.org/abs/2409.17115) | [Models](https://huggingface.co/collections/gair-prox/prox-general-models-65f1674f0607712c4d6eec76) | [Code](https://github.com/GAIR-NLP/ProX)
|
21 |
|
22 |
fineweb-pro is refined from [fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)(350BT sample) using the **ProX** refining framework.
|
23 |
It contains about 100B high quality tokens, ready for general language model pre-training.
|
|
|
28 |
|
29 |
### Citation
|
30 |
```
|
31 |
+
@article{zhou2024programming,
|
32 |
+
title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
|
33 |
+
author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
|
34 |
+
journal={arXiv preprint arXiv:2409.17115},
|
35 |
+
year={2024}
|
36 |
}
|
37 |
```
|