| --- |
| license: apache-2.0 |
| library_name: fasttext |
| pipeline_tag: text-classification |
| tags: |
| - data-quality |
| - data-filtering |
| - fasttext |
| - web |
| extra_gated_heading: Access this model |
| 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. |
| extra_gated_button_content: Agree and access |
| --- |
| |
| # MidTool-fasttext-web-quality-classifier |
|
|
| The fastText quality classifier used to filter web 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 (API references, SDK and library docs, CLI help pages, troubleshooting pages, developer Q&A) rather than generic web noise. |
|
|
| It is the web counterpart of [MidTool-fasttext-pdf-quality-classifier](https://huggingface.co/MidTool/MidTool-fasttext-pdf-quality-classifier). |
|
|
| ## 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} |
| } |
| ``` |
|
|
