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Download README.md from ArrowLabs/WebMathUltra: direct link, hf CLI and curl.
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- Download file 1.31 kB
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https://huggingface.co/datasets/ArrowLabs/WebMathUltra/resolve/main/README.md
- Command line
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hf download hf://datasets/ArrowLabs/WebMathUltra/README.md
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curl -L -o README.md https://huggingface.co/datasets/ArrowLabs/WebMathUltra/resolve/main/README.md
1.31 kB
metadata
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- finemath
- fineweb
- edu
- pretrain
- pretraining
- web
- reason
- reasoning
- dense
- fine
- fine data
- ultra
- pro
- finemath 3plus
- finemath 4plus
- thought
- thoughts
- think
- thinking
- post train
- posttrain
size_categories:
- 100K<n<1M
DCLM Ultra
WebMathUltra is a heavily filtered and deduplicated, improved version of finemath-3plus.
It achieves superior performance on math benchmarks including arithmark 3.0, and achieving better math loss.
9M model trained on only finemath-3plus vs WebMathUltra, same architecture, 500 millon tokens.
| Metric | finemath 3+ | WebMathUltra |
|---|---|---|
| Math loss | 2.93 | 2.93 |
| Arithmark 3.0 | 35.30% | 38.70% |
Dataset Details
- Curated by: AInion
- Funded by: ArrowAI
- Shared by: MoreThought
- Language: english
- License: apache 2.0
Dataset Sources
- Main Source: https://huggingface.co/datasets/HuggingFaceTB/finemath
- Ultra Source: https://huggingface.co/datasets/Geralt-Targaryen/finemath
Uses
- PreTraining SLMs on clean, heavily filtered math.
- Continued PreTraining SLMs on clean, heavily filtered math.
- PostTraining LLMs on clean, heavily filtered math.