Datasets:
metadata
license: apache-2.0
language:
- en
- fr
task_categories:
- text-generation
- conversational
size_categories:
- 100K<n<1M
tags:
- chatml
- sft
- aether-family
- code
configs:
- config_name: default
data_files:
- split: train
path: code_shard_*.jsonl
archon-sft-v1-code
AETHER family SFT dataset — group code.
Format: JSONL ChatML messages, task_type tagged, MinHash dedup applied (threshold 0.85).
Schema:
{
"messages": [{"role": "system|user|assistant", "content": "..."}],
"task_type": "function_calling|code|reasoning_cot|...",
"source_ds": "<HF dataset_id>",
"lang": "en|fr|...",
"system_source": "archon_default|overridden_from_source"
}
Generated by prepare_sft.py pipeline (2026-05-25).
Real sources sampled 2026-05-28
- 85.7%
ise-uiuc/Magicoder-OSS-Instruct-75K - 14.3%
m-a-p/CodeFeedback-Filtered-Instruction
Real task_type distribution (sampled)
- 51%
code - 48%
math_symbolic(auto-tagged from code with formulas) - 1.4%
protobuf_grpc
Language reality
Sampled 700 rows across multiple offsets: 100% English detected despite language: [en, fr] tag. The lang field is consistently en.
Notes
Code instruction-following SFT. This is the ARCHON SFT v1 reality, not the planning document. Memory/plan files may list different intended sources — those represent the initial design, not what was actually staged.