README.md

metadata

license: other
language:
  - ko
  - en
tags:
  - lfm
  - korean
  - sft
  - lfm-chat
  - jsonl

LFM2.5-KO-Dataset-Index-and-Sources

Snapshot of gyunggyung/LLM-Ko-Datasets README/LICENSE used as a dataset index while building the SFT mix.

This dataset is part of the LFM2.5-8B-A1B-KO-SFT / Agentic SFT workflow.

• Main SFT model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-SFT
• CPT base model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-CPT-FULL
• Agentic follow-up model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-Agentic-SFT
• SFT GitHub: https://github.com/gyunggyung/LFM25-KO-SFT
• CPT GitHub: https://github.com/gyunggyung/LFM25-KO-CPT

Source Attribution

• Snapshot of https://github.com/gyunggyung/LLM-Ko-Datasets README/LICENSE.

Additional public references:

• Liquid LFM base model: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B
• Liquid chat template docs: https://docs.liquid.ai/lfm/key-concepts/chat-template
• Liquid tool-use docs: https://docs.liquid.ai/lfm/key-concepts/tool-use
• Legalize-KR organization: https://github.com/legalize-kr
• KoTSQA v2.0: https://huggingface.co/datasets/etri-lirs/KoTSQA-v.2.0
• Korean dataset index reviewed for candidates: https://github.com/gyunggyung/LLM-Ko-Datasets

Notes

• This is an index/reference artifact, not a training corpus by itself.
• It documents Korean dataset candidates reviewed while building the KO SFT mix.

Summary

field	value
kind	source_index
sample count	n/a
token count	n/a
max sequence / sample length	n/a
uploaded size bytes	106659

Format

• raw_lfm_chat_jsonl: JSONL rows with a text field containing LFM ChatML-like conversation text.
• prepared_tokenized: NumPy response-only SFT arrays built with the LFM tokenizer:
  • tokens.npy
  • epoch_0/inst_start.npy
  • epoch_0/inst_len.npy
  • epoch_0/resp_start.npy
  • epoch_0/resp_len.npy
  • tokenizer.json

Local Source Path

/home/work/.data/lfm2_ko_sft/downloads/LLM-Ko-Datasets

License And Usage Notes

This release republishes preprocessing artifacts used for the LFM2.5 Korean CPT/SFT workflow. Source components come from multiple public or locally prepared datasets, so downstream users should verify each upstream source license before redistribution or commercial use. Legal and finance examples are for model training/evaluation only and are not legal, financial, or investment advice.

Stats

{
  "path": "/home/work/.data/lfm2_ko_sft/downloads/LLM-Ko-Datasets",
  "size_bytes": 106659,
  "file_count": 31
}