File size: 3,538 Bytes
75f46bf 3fdb4ba eb4fcf5 3fdb4ba 75f46bf 3fdb4ba eb4fcf5 3fdb4ba eb4fcf5 3fdb4ba eb4fcf5 3fdb4ba eb4fcf5 |
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 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
---
license: cc-by-sa-4.0
task_categories:
- text-generation
- question-answering
language:
- en
pretty_name: AutoMathText
size_categories:
- 10B<n<100B
configs:
- config_name: web-0.5
data_files:
- split: train
path:
- data/web/0.95-1.00.jsonl
- data/web/0.90-0.95.jsonl
- data/web/0.85-0.90.jsonl
- data/web/0.80-0.85.jsonl
- data/web/0.75-0.80.jsonl
- data/web/0.70-0.75.jsonl
- data/web/0.65-0.70.jsonl
- data/web/0.60-0.65.jsonl
- data/web/0.55-0.60.jsonl
- data/web/0.50-0.55.jsonl
default: true
- config_name: web-0.6
data_files:
- split: train
path:
- data/web/0.95-1.00.jsonl
- data/web/0.90-0.95.jsonl
- data/web/0.85-0.90.jsonl
- data/web/0.80-0.85.jsonl
- data/web/0.75-0.80.jsonl
- data/web/0.70-0.75.jsonl
- data/web/0.65-0.70.jsonl
- data/web/0.60-0.65.jsonl
- config_name: web-0.7
data_files:
- split: train
path:
- data/web/0.95-1.00.jsonl
- data/web/0.90-0.95.jsonl
- data/web/0.85-0.90.jsonl
- data/web/0.80-0.85.jsonl
- data/web/0.75-0.80.jsonl
- data/web/0.70-0.75.jsonl
- config_name: web-full
data_files: data/web/*.jsonl
tags:
- mathematical-reasoning
- reasoning
- finetuning
- pretraining
- llm
---
# MathText
MathText is an extensive and carefully curated dataset encompassing **200 GB** of mathematical texts. It's a unique compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously selected (labeled) by the state-of-the-art open-sourced language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
## Objective
The primary aim of the MathText dataset is to provide a comprehensive and reliable resource for a wide array of users - from academic researchers and educators to AI practitioners and mathematics enthusiasts. This dataset is particularly geared towards:
- Facilitating advanced research in **the intersection of mathematics and artificial intelligence**.
- Serving as an educational tool for **learning and teaching complex mathematical concepts**.
- Providing **a foundation for developing and training AI models** specialized in processing and understanding **mathematical content**.
## Features
- **Volume**: Approximately 200 GB of text data (in natural language and programming language).
- **Content**: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
- **Labeling**: Every text is **scored** by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
- **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in advanced research and education.
## References
- OpenWebMath [(link)]()
- Redpajama [(link)]()
- Algebraick Stack [(link)]()
## Citation
We appreciate your use of MathText in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact [email protected] or open an issue if you have any questions.
```bibtex
@misc{automathtext2024,
title={AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts},
author={Zhang, Yifan and Luo, Yifan},
year={2024},
}
```
|