datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
KoHRM-Text-1.4B-sft-lora-data
KoHRM-Text-1.4B SFT and LoRA Prepared Data
This dataset repo stores curated KoHRM SFT/LoRA subsets in the same tokenized
HRM-Text V1Dataset format used by training. It is intended for quick behavior
alignment experiments after KoHRM pretraining.
Model repo:
https://huggingface.co/LLM-OS-Models/KoHRM-Text-1.4B
Code repo:
https://github.com/LLM-OS-Models/KoHRM-text
Format
Each folder is a prepared V1Dataset:
<dataset-name>/
metadata.json
tokenizer_info.json… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/KoHRM-Text-1.4B-sft-lora-data.Qwen-Terminal-ToolBench-Processed-Tokenized
Qwen Terminal ToolBench Processed Datasets
Qwen-family processed/template-applied and selected tokenized terminal datasets.
Contents
qwen35_2b_full_terminal_toolcall_processed_v1: 1011776 rows, 36.26 GiB, features: text
qwen35_2b_terminal_toolcall_fullconv_from_samecount_v1: 327383 rows, 25.11 GiB, features: text
qwen35_27b_hf_fsdp_1024: 15335 rows, 0.17 GiB, features: input_ids, attention_mask, labels
qwen35_27b_processed_2bdata: 23472 rows, 2.77 GiB, features:… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Qwen-Terminal-ToolBench-Processed-Tokenized.KoHRM-Text-1.4B-prepared-data
KoHRM-Text-1.4B Prepared Data
This dataset repository contains prepared HRM-Text V1Dataset artifacts for KoHRM-Text-1.4B.
The data is intended for continued pretraining and staged training with the project code at:
https://github.com/LLM-OS-Models/KoHRM-text
https://huggingface.co/LLM-OS-Models/KoHRM-Text-1.4B
https://huggingface.co/LLM-OS-Models/HRM-Text-Ko-Terminal-Tokenizer-131K
The upstream architecture and training method are based on:
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/KoHRM-Text-1.4B-prepared-data.LFM2.5-8B-A1B-KO-CPT-DATA
LFM2.5-8B-A1B Korean CPT Data
Prepared Korean continued-pretraining data for LLM-OS-Models/LFM2.5-8B-A1B-KO-CPT-FULL.
Files
data/ko_cpt_mix_full_lfmstyle_20260627.jsonl: prepared full CPT corpus with one JSON object per line and a text field
metadata/ko_cpt_mix_full_lfmstyle_20260627.stats.json: corpus statistics
metadata/ko_cpt_mix_full_lfmstyle_20260627.stats.json.full_report.json: per-source preprocessing report
metadata/ko_cpt_sources_full_20260627.json:… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/LFM2.5-8B-A1B-KO-CPT-DATA.LFM25-Terminal-ToolBench-Full-Tokenized
LFM2.5 Terminal ToolBench Full Tokenized Dataset
LFM2.5-8B-A1B train-ready token IDs for the Terminal + ToolBench full SFT run.
Contents
lfm25_8b_a1b_terminal_full_toolbench_full_train_ready_v1: 197373 rows, 17.67 GiB, features: input_ids, seq_lengths, labels
Notes
This dataset stores token IDs and labels, not raw conversations.
It was used by the LFM2.5-8B-A1B Terminal ToolBench full SFT config.
Features: input_ids, seq_lengths, labels.… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/LFM25-Terminal-ToolBench-Full-Tokenized.Gemma4-Terminal-ToolBench-Tokenized
Gemma4 Terminal ToolBench Tokenized Datasets
Gemma4-family tokenized terminal/tool datasets for HF/FSDP experiments.
Contents
gemma4_e2b_hf_fsdp_1024: 23472 rows, 0.28 GiB, features: input_ids, attention_mask, labels
gemma4_e2b_hf_fsdp_1024_4gpu: 23472 rows, 0.28 GiB, features: input_ids, attention_mask, labels
gemma4_e4b_hf_fsdp_1024: 23472 rows, 0.28 GiB, features: input_ids, attention_mask, labels
gemma4_26b_a4b_hf_fsdp_1024: 23472 rows, 0.28 GiB, features:… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Gemma4-Terminal-ToolBench-Tokenized.Fable5-KO-SFT
Fable5 KO SFT Distillation
Korean-translated Fable-5 agent trace distillation dataset for training Fabliq-KO (LFM2.5-8B-A1B base).
Source / Citation
Original English dataset: Glint-Research/Fable-5-traces (4,665 rows)
This Korean translation is derived from the preprocessed LFM-SFT version (3,948 rows after deduplication and filtering) generated by the LLM-OS-Models Fable distillation pipeline. The original traces come from real agentic coding sessions and contain… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Fable5-KO-SFT.Mega-KO-SFT
Mega KO SFT (Fabliq-KO Training Dataset)
Combined Korean SFT distillation dataset for training Fabliq-KO (LFM2.5-8B-A1B base, LiquidAI MoE 8B/1B active).
Composition
Source
Rows
Description
Fable5-KO
3,948
Glint-Research/Fable-5-traces (multi-turn agent traces, tool use)
WithinUs-KO
135
withinus_mythos_distilled_25k (mathematical reasoning)
Helio-KO
146
helio_fable5_distill_reasoning_462x (deep-reasoning, security/math/biomedical)
Total
4,229… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Mega-KO-SFT.WithinUs-KO-SFT
WithinUs KO SFT Distillation
Korean-translated WithinUs distillation dataset for training Fabliq-KO (LFM2.5-8B-A1B base).
Source / Citation
Original dataset: withinus_mythos_distilled_25k (mathematical reasoning category, 135 rows selected for LFM-SFT format).
This Korean translation is derived from the preprocessed LFM-SFT version. If you use this dataset, please cite both the original source and this Korean-translated version from LLM-OS-Models.… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/WithinUs-KO-SFT.Helio-KO-SFT
Helio KO SFT Distillation
Korean-translated Helio deep-reasoning distillation dataset for training Fabliq-KO (LFM2.5-8B-A1B base).
Source / Citation
Original dataset: helio_fable5_distill_reasoning_462x (146 rows of deep-reasoning traces covering security audits, mathematical proofs, biomedical analyses, philosophical treatises, and more).
This Korean translation is derived from the preprocessed LFM-SFT version. If you use this dataset, please cite both the… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/Helio-KO-SFT.