dignity045/Collective-Corpus
🧠Collective Corpus — Universal Pretraining + Finetuning Dataset (500B+ Tokens) Collective-Corpus is a massive-scale, multi-domain dataset designed to train Transformer-based language models from scratch and finetune them across a wide variety of domains — all in one place. 📚 Dataset Scope This dataset aims to cover the full LLM lifecycle, from raw pretraining to domain-specialized finetuning. 1. Pretraining Corpus Large-scale, diverse… See the full description on the dataset page: https://huggingface.co/datasets/dignity045/Collective-Corpus.
| Author / organization | dignity045 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 522 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 9 August 2025 |
| Last updated at source | 12 August 2025 |
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- 16 Oct 2026 Description: 🧠Collective Corpus — Universal Pretraining + Finetuning Dataset (500B+ Tokens) Collective-Corpus is a massive-scale, multi-domain dataset designed to train Transformer-based language models from scratch and finetune them across a wide var → 🧠Collective Corpus — Universal Pretraining + Finetuning Dataset (500B+ Tokens) Collective-Corpus is a massive-scale, multi-domain dataset designed to train Transformer-based language models from scratch and finetune them across a wide var
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