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Co-authored-by: Yifan Zhang <yifAI@users.noreply.huggingface.co>

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README.md ADDED
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+ - data/code/python/0.50-0.55.jsonl
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+ - config_name: code-python-0.60-to-1.00
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+ data_files:
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+ - split: train
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+ path:
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+ - data/code/python/0.95-1.00.jsonl
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+ - data/code/python/0.90-0.95.jsonl
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+ - data/code/python/0.85-0.90.jsonl
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+ - data/code/python/0.65-0.70.jsonl
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+ - data/code/python/0.60-0.65.jsonl
321
+ - config_name: code-python-0.70-to-1.00
322
+ data_files:
323
+ - split: train
324
+ path:
325
+ - data/code/python/0.95-1.00.jsonl
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+ - data/code/python/0.90-0.95.jsonl
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+ - data/code/python/0.85-0.90.jsonl
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+ - data/code/python/0.80-0.85.jsonl
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+ - data/code/python/0.75-0.80.jsonl
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+ - data/code/python/0.70-0.75.jsonl
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+ - config_name: code-python-0.80-to-1.00
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+ data_files:
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+ - split: train
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+ path:
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+ - data/code/python/0.95-1.00.jsonl
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+ - data/code/python/0.90-0.95.jsonl
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+ - data/code/python/0.85-0.90.jsonl
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+ - data/code/python/0.80-0.85.jsonl
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+ - config_name: code-jupyter-notebook-0.50-to-1.00
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+ data_files:
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+ - split: train
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+ path:
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+ - data/code/jupyter-notebook/0.95-1.00.jsonl
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+ - data/code/jupyter-notebook/0.90-0.95.jsonl
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+ - data/code/jupyter-notebook/0.55-0.60.jsonl
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+ - data/code/jupyter-notebook/0.50-0.55.jsonl
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+ - config_name: code-jupyter-notebook-0.60-to-1.00
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+ data_files:
355
+ - split: train
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+ path:
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+ - data/code/jupyter-notebook/0.95-1.00.jsonl
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+ - data/code/jupyter-notebook/0.90-0.95.jsonl
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+ - data/code/jupyter-notebook/0.60-0.65.jsonl
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+ - config_name: code-jupyter-notebook-0.70-to-1.00
366
+ data_files:
367
+ - split: train
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+ path:
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+ - data/code/jupyter-notebook/0.95-1.00.jsonl
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+ - data/code/jupyter-notebook/0.90-0.95.jsonl
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+ - data/code/jupyter-notebook/0.85-0.90.jsonl
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+ - data/code/jupyter-notebook/0.80-0.85.jsonl
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+ - data/code/jupyter-notebook/0.75-0.80.jsonl
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+ - data/code/jupyter-notebook/0.70-0.75.jsonl
375
+ - config_name: code-jupyter-notebook-0.80-to-1.00
376
+ data_files:
377
+ - split: train
378
+ path:
379
+ - data/code/jupyter-notebook/0.95-1.00.jsonl
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+ - data/code/jupyter-notebook/0.90-0.95.jsonl
381
+ - data/code/jupyter-notebook/0.85-0.90.jsonl
382
+ - data/code/jupyter-notebook/0.80-0.85.jsonl
383
+ - config_name: code-full
384
+ data_files:
385
+ - split: train
386
+ path:
387
+ - data/code/*/*.jsonl
388
+ tags:
389
+ - mathematical-reasoning
390
+ - reasoning
391
+ - finetuning
392
+ - pretraining
393
+ - llm
394
+ ---
395
+
396
+ 🎉 **This work, introducing the AutoMathText dataset and the AutoDS method, has been accepted to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings)!** 🎉
397
+
398
+
399
+ # AutoMathText
400
+
401
+ **AutoMathText** is an extensive and carefully curated dataset encompassing around **200 GB** of mathematical texts. It's a 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-source 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.
402
+
403
+ GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText
404
+
405
+ ArXiv paper: https://huggingface.co/papers/2402.07625 (https://arxiv.org/abs/2402.07625)
406
+
407
+ ## Objective
408
+
409
+ The primary aim of the **AutoMathText** 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:
410
+
411
+ - Facilitating advanced research in **the intersection of mathematics and artificial intelligence**.
412
+ - Serving as an educational tool for **learning and teaching complex mathematical concepts**.
413
+ - Providing **a foundation for developing and training AI models** specialized in processing and understanding **mathematical content**.
414
+
415
+ ## Configs
416
+
417
+ ```YAML
418
+ configs:
419
+ - config_name: web-0.50-to-1.00
420
+ data_files:
421
+ - split: train
422
+ path:
423
+ - data/web/0.95-1.00.jsonl
424
+ - data/web/0.90-0.95.jsonl
425
+ - ...
426
+ - data/web/0.50-0.55.jsonl
427
+ default: true
428
+ - config_name: web-0.60-to-1.00
429
+ - config_name: web-0.70-to-1.00
430
+ - config_name: web-0.80-to-1.00
431
+ - config_name: web-full
432
+ data_files: data/web/*.jsonl
433
+ - config_name: arxiv-0.50-to-1.00
434
+ data_files:
435
+ - split: train
436
+ path:
437
+ - data/arxiv/0.90-1.00/*.jsonl
438
+ - ...
439
+ - data/arxiv/0.50-0.60/*.jsonl
440
+ - config_name: arxiv-0.60-to-1.00
441
+ - config_name: arxiv-0.70-to-1.00
442
+ - config_name: arxiv-0.80-to-1.00
443
+ - config_name: arxiv-full
444
+ data_files: data/arxiv/*/*.jsonl
445
+ - config_name: code-0.50-to-1.00
446
+ data_files:
447
+ - split: train
448
+ path:
449
+ - data/code/*/0.95-1.00.jsonl
450
+ - ...
451
+ - data/code/*/0.50-0.55.jsonl
452
+ - config_name: code-python-0.50-to-1.00
453
+ - split: train
454
+ path:
455
+ - data/code/python/0.95-1.00.jsonl
456
+ - ...
457
+ - data/code/python/0.50-0.55.jsonl
458
+ - config_name: code-python-0.60-to-1.00
459
+ - config_name: code-python-0.70-to-1.00
460
+ - config_name: code-python-0.80-to-1.00
461
+ - config_name: code-jupyter-notebook-0.50-to-1.00
462
+ - split: train
463
+ path:
464
+ - data/code/jupyter-notebook/0.95-1.00.jsonl
465
+ - ...
466
+ - data/code/jupyter-notebook/0.50-0.55.jsonl
467
+ - config_name: code-jupyter-notebook-0.60-to-1.00
468
+ - config_name: code-jupyter-notebook-0.70-to-1.00
469
+ - config_name: code-jupyter-notebook-0.80-to-1.00
470
+ - config_name: code-full
471
+ data_files: data/code/*/*.jsonl
472
+ ```
473
+
474
+ How to load data:
475
+
476
+ ```python
477
+ from datasets import load_dataset
478
+
479
+ ds = load_dataset("math-ai/AutoMathText", "web-0.50-to-1.00") # or any valid config_name
480
+ ```
481
+
482
+ ## Features
483
+
484
+ - **Volume**: Approximately 200 GB of text data (in natural language and programming language).
485
+ - **Content**: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
486
+ - **Labeling**: Every text is **scored** by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
487
+ - **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in advanced research and education.
488
+
489
+ ## References
490
+
491
+ - OpenWebMath [[link]](https://huggingface.co/datasets/open-web-math/open-web-math)
492
+ - RedPajama [[link]](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
493
+ - Algebraick Stack [[link]](https://huggingface.co/datasets/EleutherAI/proof-pile-2) (a subset of Proof-Pile-2)
494
+
495
+ ## Citation
496
+ We appreciate your use of **AutoMathText** in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact yifanzhangresearch@gmail.com or open an issue if you have any questions (GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText).
497
+
498
+ ```bibtex
499
+ @article{zhang2025autonomous,
500
+ title={Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts},
501
+ author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew Chi-Chih},
502
+ journal={The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings)},
503
+ year={2025}
504
+ }
505
+ ```
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