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swe
[ { "content": "You are a helpful assistant that can interact with a computer to solve tasks.", "language": "eng", "token_length": 15, "role": "system", "reasoning_content": null, "reasoning_token_length": null, "reasoning_language": null, "tool_calls": null, "name": null, "too...
{"reasoning": true, "success": true, "sample_name": "sphinx-doc__sphinx-11700"}
other
[{"type": "function", "function": {"name": "str_replace_editor", "description": null, "parameters": {"type": "object", "properties": {"command": {"type": "string"}, "path": {"type": "string"}, "view_range": {"type": "string"}, "file_text": {"type": "string"}, "old_str": {"type": "string"}, "new_str": {"type": "string"}...
GAIR/daVinci-Dev
145dbfca-1c9f-5de5-a994-2a78d8754493
29,330
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": true, "sample_name": "asottile__yesqa-23"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
84747f39-5134-5c8f-bf41-bb8698f7c594
27,514
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "DLR-SC__prov-db-connector-83"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
a53a2681-54df-5288-94e7-28590e2988af
62,918
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": false, "success": false, "sample_name": "fatiando__pooch-173"}
other
null
GAIR/daVinci-Dev
8f19566a-d7a4-5b57-bff5-5c1513d29ea9
739
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "omni-us__jsonargparse-637"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
42b8a4eb-5b67-54c7-a9ee-9f74c00d3691
101,320
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "edelooff__kalpa-9"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
ace19354-d9f4-56e3-8f67-136417b2d026
24,193
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "airtai__fastagency-198"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
5440b037-ae81-5c6a-a249-fc5ec585808b
54,661
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
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other
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GAIR/daVinci-Dev
ae1d50cd-eaa2-5581-aed7-64b1492fd025
13,511
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "alvinwan__TexSoup-108"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
2318c287-fc5b-519a-b9c5-26b6e14c2e5b
36,739
swe
[{"content":"You are a helpful assistant that can interact with a computer to solve tasks.","languag(...TRUNCATED)
{"reasoning": true, "success": false, "sample_name": "oasis-open__cti-python-stix2-34"}
other
"[{\"type\": \"function\", \"function\": {\"name\": \"str_replace_editor\", \"description\": null, \(...TRUNCATED)
GAIR/daVinci-Dev
39fe1844-592b-5a73-b4d7-e5ea1ac2b8a7
38,427
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Domyn

Domyn Edge Teacher Agentic Mix

Phased release. Domyn Edge is a rolling release in three bundles. This dataset is part of the second bundle, together with the domain teachers and their post-training data. For an overview, see the launch blog post.

The training data of Domyn Edge Teacher Agentic

, in two configs:
Config Stage Train Test
sft Supervised fine-tuning, 128k context 5,562,889 (54.73B tokens) 291,167 (2.87B tokens)

sft: supervised fine-tuning mix

The agentic, tool-use, software-engineering, reasoning, and deep-research slices of the Domyn Edge SFT corpus. Code and math belong to the code and math teachers respectively, so both have weight 0 here. 5% of the mix is held out as the test split.

Task Weight Sources
Agentic (general tool-use) 1.0 Toucan-1.5M, ToolMind, INTELLECT-3-SFT (openreasoning_tool, toucan_tool), ToolACE, Nemotron-Agentic-v1, Nemotron-SFT-Agentic-v2, Nemotron-SFT-OpenCode-v1, Nemotron-Terminal-Corpus, deepseek-v4-pro-0813-agentic
Software engineering 1.0 daVinci-Dev, Scale-SWE-Distilled, SWE-agent-trajectories, Nemotron-SFT-SWE-v2, Nemotron-SFT-SWE-v3
Reasoning 1.0 Nemotron-SFT-ARC-AGI-v1 (tool-use splits only)
Deep research 1.0 Domyn internal deep-research SDG, MiroVerse-v0.1, OpenResearcher-Dataset
Function calling 1.0 Domyn internal NeMo-Gym tool-call trajectories

Released conversations and tokens per source, train and test splits together (licenses in short; full terms in ATTRIBUTION.md):

Source License Conversations Tokens
Nemotron-Terminal-Corpus CC BY 4.0 1,464,092 25.85B
Domyn internal (deep research SDG) Domyn 1,261,267 3.16B
Nemotron-SFT-Agentic-v2 CC BY 4.0 970,967 5.39B
Nemotron-SFT-OpenCode-v1 CC BY 4.0 449,380 6.81B
INTELLECT-3-SFT CC BY 4.0, MIT, Apache 2.0 (per subset) 394,060 1.74B
ToolMind Apache 2.0 337,881 0.82B
Nemotron-Agentic-v1 CC BY 4.0 314,600 1.30B
Nemotron-SFT-SWE-v2 CC BY 4.0 256,194 3.69B
Toucan-1.5M Apache 2.0 115,623 0.35B
daVinci-Dev other (mixed permissive, CC BY 4.0; gated) 70,602 2.58B
Scale-SWE-Distilled CC BY 4.0 65,950 3.24B
MiroVerse-v0.1 CC BY-NC 4.0, CC BY-SA 4.0, MIT, Apache 2.0 (per subset) 63,726 0.67B
Nemotron-SFT-ARC-AGI-v1 Apache 2.0 53,420 1.28B
ToolACE Apache 2.0 10,417 0.01B
Domyn internal (NeMo-Gym tool trajectories) Domyn 9,455 0.45B
Nemotron-SFT-SWE-v3 CC BY 4.0 5,932 0.17B
deepseek-v4-pro-0813-agentic other (synthetic research corpus) 4,977 0.01B
SWE-agent-trajectories CC BY 4.0 3,574 0.03B
OpenResearcher-Dataset MIT 1,939 0.07B
Total 5,854,056 57.60B

How to use

from datasets import load_dataset

sft = load_dataset("domyn/Domyn-Edge-Teacher-Agentic-Mix", "sft", split="train", streaming=True)

Columns

sft columns

Column Type Description
messages list The conversation. Each message has role, content, reasoning_content (assistant reasoning, if any), tool_calls (each with id, type and function {name, arguments as a JSON string}), and name and tool_call_id for tool results.
tools string JSON-encoded list of the tool schemas available in the conversation, or null.
task string Task family: one of agentic, swe, reasoning, deep-research, function_calling.
source string Upstream dataset.
license string License of the upstream record.
metadata string JSON-encoded upstream metadata (for example topic or generation model), or null.
uuid string Record identifier.
token_length int Conversation length in tokens.

License

Our contributions to this dataset, including the curation and the mix composition, are released under the Apache License 2.0. Upstream datasets keep their original license terms. Read ATTRIBUTION.md before redistributing any part of this data.

Citation

@misc{domyn_edge_teacher_agentic_mix_2026,
  title     = {Domyn Edge Teacher Agentic Mix},
  author    = {Domyn},
  year      = {2026},
  note      = {Technical report, forthcoming in November 2026.},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/domyn/Domyn-Edge-Teacher-Agentic-Mix}
}
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