| --- |
| license: apache-2.0 |
| library_name: fasttext |
| pipeline_tag: text-classification |
| tags: |
| - data-quality |
| - data-filtering |
| - fasttext |
| - pdf |
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| extra_gated_prompt: >- |
| By requesting access you agree to the Apache-2.0 license. The model is provided as is, |
| without warranty of any kind. The authors accept no liability for its outputs or for any |
| use made of it. |
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| --- |
| |
| # MidTool-fasttext-pdf-quality-classifier |
|
|
| The fastText quality classifier used to filter PDF documents when building [MidTool-Mix](https://huggingface.co/datasets/MidTool/MidTool-Mix). It scores a document on whether it is useful tool-use / developer-facing technical material (manuals, product handbooks, platform documentation) rather than generic or noisy PDF-extraction output. |
|
|
| It is the PDF counterpart of [MidTool-fasttext-web-quality-classifier](https://huggingface.co/MidTool/MidTool-fasttext-web-quality-classifier), trained the same way but applied with a stricter threshold, since PDF extraction is noisier than web text. |
|
|
| ## Details |
|
|
| See our paper for the full data, training, and evaluation details. |
|
|
| ```bibtex |
| @article{jiang2026midtool, |
| title = {MidTool: Mid-training Data Synthesis for Agentic Tool Use}, |
| author = {Jiang, Fengqing and Wang, Yite and Liu, Boyi and Wang, Zhaoyang and |
| Xu, Canwen and Yao, Zhewei and Poovendran, Radha and He, Yuxiong}, |
| year = {2026} |
| } |
| ``` |
|
|
