license: odc-by
language:
- en
task_categories:
- text-generation
size_categories:
- 1B<n<10B
tags:
- scientific
- pretraining
- web-corpus
- stem
- common-crawl
HainaWeb-Sci Sample (Anonymous Submission)
This repository hosts a representative sample of the HainaWeb-Sci scientific web corpus, released anonymously for double-blind peer review at NeurIPS 2026.
The full 1.09T-token corpus, finalised license, classifier checkpoints, and long-term maintenance repository will be released at the non-anonymous location at camera-ready time, pending internal release review.
Sample Composition
The sample (~3.46 GB compressed) is uniformly distributed across all 14 STEM disciplines covered by HainaWeb-Sci:
AerospaceEngineering, Agriculture, Astronomy, Biology, Chemistry, CivilEngineering, ComputerScience, EarthScience, ElectricalElectronicEngineering, MaterialsScience, Mathematics, MechanicalEngineering, Medicine, Physics.
Each discipline lives under its own top-level folder; documents are stored
as gzip-compressed JSONL shards (HainaWeb-Sci_<discipline>_<id>.jsonl.gz).
Data Schema
Each line is a JSON object. Refer to the paper's Appendix A (Datasheet) for the full field-level specification. Key fields:
text: main document text after the full curation pipeline.metadata: original WARC fields (URI, content-type, crawl date, etc.).websci_meta.language: detected language and confidence.websci_meta.discipline: fine-grained discipline distribution from the two-tier discipline router (top-4 disciplines with confidence).websci_meta.model_quality_score: content-driven fastText quality score.websci_meta.sci_quality_score: 0–5 scientific value score from the rubric-based quality classifier.
Curation Summary
Documents are sourced from Common Crawl snapshots (2013–March 2026) and DCLM-Pool, then processed by the data-centric curation pipeline described in Section 3 of the paper:
- Heuristic filtering with discipline-aware differential rules.
- Two-tier content-driven discipline routing.
- Rubric-based quality scoring with asymmetric penalties.
- Intra-dump fuzzy + intra-disciplinary exact deduplication.
PII Handling
Personally identifiable information has been masked using the standard
Datatrove PII formatter: email addresses are replaced with placeholders
(user@domain.org); public IPs are replaced with the RFC 5737 TEST-NET
address (198.51.100.1).
License
This sample is released under the Open Data Commons Attribution License (ODC-By) v1.0. Use of the data is also subject to the original Common Crawl terms of use.
Intended Use
This anonymous sample is provided solely for reviewer evaluation of the NeurIPS 2026 submission. Redistribution prior to camera-ready is not permitted. The full corpus, code, classifier checkpoints, and Datasheet will be released at the non-anonymous repository at camera-ready.
Limitations
- English-only; humanities and social sciences are out of scope.
- Code and multimodal content are not included.
- Sample size is intentionally limited for reviewer inspection; quality metrics reported in the paper are computed on the full corpus, not this sample.
Reporting Issues
Anonymous review channel — please contact the authors via the OpenReview submission discussion thread.