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CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

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arxiv 2410.18505 v2 pith:EQOELHDY submitted 2024-10-24 cs.CL

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

classification cs.CL
keywords cci3chinesedatasetshigh-qualitymodelbaaidatadataset
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present CCI3.0-HQ (https://huggingface.co/datasets/BAAI/CCI3-HQ), a high-quality 500GB subset of the Chinese Corpora Internet 3.0 (CCI3.0)(https://huggingface.co/datasets/BAAI/CCI3-Data), developed using a novel two-stage hybrid filtering pipeline that significantly enhances data quality. To evaluate its effectiveness, we trained a 0.5B parameter model from scratch on 100B tokens across various datasets, achieving superior performance on 10 benchmarks in a zero-shot setting compared to CCI3.0, SkyPile, and WanjuanV1. The high-quality filtering process effectively distills the capabilities of the Qwen2-72B-instruct model into a compact 0.5B model, attaining optimal F1 scores for Chinese web data classification. We believe this open-access dataset will facilitate broader access to high-quality language models.

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    cs.CL 2026-06 unverdicted novelty 7.0

    Cortex uses an Ontological Corpus Graph to structure web-scale corpora, creating a refined 24.14B-token corpus and a new benchmark validated on eight LLMs.