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MidTool-fasttext-web-quality-classifier

The fastText quality classifier used to filter web documents when building 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.

Usage

import fasttext
from huggingface_hub import hf_hub_download

path = hf_hub_download("MidTool/MidTool-fasttext-web-quality-classifier", "model.bin")
model = fasttext.load_model(path)
labels, probs = model.predict(text.replace("\n", " "))

Input should be a single line of whitespace-normalized text.

Details

See our paper for the full data, training, and evaluation details.

@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}
}

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