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MC7ever/all-in-one-llm-corpus

๐Ÿงฌ All-in-One LLM Corpus One repo. Four training stages. Everything a chat model needs โ€” and nothing that sounds like a bot. SFT โ†’ DPO โ†’ RL โ†’ persona polish โ†’ benchmark, with clean splits for each step, de-slopified in v2 so the model learns to talk, act, think and pass as a person. ๐Ÿ”ข Total rows 480,032 across 4 subsets ร— 4 splits ๐ŸŽฏ Subsets sft ยท ct ยท rl ยท persona โœ‚๏ธ Splits train ยท validation ยท test ยท benchmark (all four in every subset) ๐Ÿ“ Split policy ~75%โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/MC7ever/all-in-one-llm-corpus.

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Author / organizationMC7ever
License (as declared)other
Downloads140 (as reported by Hugging Face)
Likes2
Created22 October 2026
Last updated at source23 October 2026
all-in-onesftdporlhfgrporeinforcement-learningpersonabenchmarkpreferencechatfine-tuningcombinedlfm2.5multilingualhuman-writtenno-slopslop-filteredcreative-writingroleplayreasoningmathcodeopen-data
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140 now (+140 since 2026-10-22). Counts as reported by the source, snapshotted daily by Silytics.

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  • 23 Oct 2026 Description: ๐Ÿงฌ All-in-One LLM Corpus One repo. Four training stages. Everything a chat model needs. SFT โ†’ DPO โ†’ RL โ†’ persona polish โ†’ benchmark, with clean splits for each step. No hunting across ten datasets, no duplicated version rows, no benchmark i โ†’ ๐Ÿงฌ All-in-One LLM Corpus One repo. Four training stages. Everything a chat model needs โ€” and nothing that sounds like a bot. SFT โ†’ DPO โ†’ RL โ†’ persona polish โ†’ benchmark, with clean splits for each step, de-slopified in v2 so the model learn
  • 23 Oct 2026 Topics added task_categories:question-answering, task_categories:multiple-choice, task_categories:text-ranking, task_categories:summarization, task_categories:translation, task_categories:text-classification, multilingual, human-written, no-slop, slop-filtered, creative-writing, roleplay, reasoning, math, code, open-data
  • 23 Oct 2026 License: none โ†’ other
  • 23 Oct 2026 Description: none โ†’ ๐Ÿงฌ All-in-One LLM Corpus One repo. Four training stages. Everything a chat model needs. SFT โ†’ DPO โ†’ RL โ†’ persona polish โ†’ benchmark, with clean splits for each step. No hunting across ten datasets, no duplicated version rows, no benchmark i
  • 23 Oct 2026 Topics added task_categories:text-generation, task_categories:reinforcement-learning, all-in-one, sft, dpo, rlhf, grpo, reinforcement-learning, persona, benchmark, preference, chat, fine-tuning, combined, lfm2.5

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