Source code for our paper :
Cleaner Pretraining Corpus Curation with Neural Web Scraping
If you find this work useful, please cite our paper and give us a shining star 🌟
1️⃣ Clone from git
git clone https://github.com/OpenMatch/NeuScraper
cd NeuScraper2️⃣ Data
ClueWeb22 is the newest in the Lemur Project's ClueWeb line of datasets that support research on information retrieval, natural language processing and related human language technologies.
The ClueWeb22 datasets are distributed by Carnegie Mellon University for research purposes only. A dataset may be obtained by signing a data license agreement with Carnegie Mellon University, and paying a fee that covers the cost of distributing the dataset. For details on how to get it, please click the following link:
https://www.lemurproject.org/clueweb22/obtain.php3️⃣ Environment
Install the torch first :
pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.htmlInstall other packages :
pip install -r requirements.txt1️⃣ Download checkpoint for NeuScraper
git lfs install
git clone https://huggingface.co/OpenMatch/neuscraper-v1-clueweb2️⃣ Preprocess the test data, we use the en0001-01 as our test set.
python src/build_test.py --path /path/to/clueweb223️⃣ Scraping with NeuScraper
bash scripts/inference.sh4️⃣ Test on en0001-01
python src/eval/run_eval.pyThe results are shown as follows.
| Method | Acc. | Prec. | Rec. | F1 |
|---|---|---|---|---|
| htmlparser | 40.94 | 40.92 | 98.95 | 57.90 |
| bs4 | 41.07 | 41.05 | 99.94 | 58.20 |
| html2text | 40.09 | 39.40 | 85.40 | 53.92 |
| boilerpipe | 66.28 | 66.89 | 35.52 | 46.40 |
| jusText | 62.67 | 72.49 | 27.06 | 39.41 |
| lxml | 65.45 | 61.54 | 37.82 | 46.84 |
| inscriptis | 45.06 | 42.53 | 96.43 | 59.03 |
| readability | 68.26 | 72.08 | 37.01 | 48.91 |
| trafilatura | 70.57 | 66.60 | 56.77 | 61.30 |
| NeuScraper | 86.66 | 81.15 | 88.30 | 84.58 |
Note: Training NeuScraper from scratch needs to be done on a server equipped with 8 NVIDIA A100-40G GPUs and SSDs
1️⃣ We need to preprocess the pages in Clueweb22:
python src/build_train.py --path /path/to/clueweb22This command will place the processed data in data/train.
It need to slice some of them up and put them in data/val.
2️⃣ Run the following script to start training
bash scripts/train.shThe training process will run for 30 epochs and take about 40 hours.
We will add support for CommonCrwal in two months.
If you have questions, suggestions, and bug reports, please send a email to us, we will try our best to help you.