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License status and Mdexa hosting, recorded separatelyAll datasets

Medical-Reasoning-SFT-Mega

Verified by Mdexa · 2026-11-14Checked against the source text under public rules.How we check

Commercial use: Yes
Derivatives: Yes
Redistribution: Yes
File on Mdexa: NoLink only

first-hand data-scope statement(s) allow commercial use and redistribution

PermissiveLink onlyApache-2.0Save

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Cite this pageMdexa, Medical-Reasoning-SFT-Mega, https://mdexa.com/datasets/medical-reasoning-sft-mega/, verified 2026-11-14.

Source riskModel-generated

Key facts

Domain: Clinical medicine Modern medicine
Content: QA, dialogue and instruction dataMega SFT dataset combining reasoning from 7 AI models: 1,789,998 unique medical samples with ~3.78B tokens of chain-of-thought reasoning, in English, deduplicated by fair distribution.
Size: —As stated: 1,789,998 samples
Language / modality: English / Text
Publisher: OpenMed
Year: 2025
Expert review: —
Verification: Verified: license text seen

Commercial use of Medical-Reasoning-SFT-Mega

Commercial use: Yes. License status: Permissive.

Conditions: Notice kept

Quoted statements and their sources are in Medical-Reasoning-SFT-Mega license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format: Open-ended QA
Quoted from the sourcequestion-answeringSnapshot s10
Intended use: Fine-tuning
Quoted from the sourceFine-tuning medical reasoning modelsSnapshot s10
Specialty: Multi-specialty
Annotation depth: With reasoning traces
Quoted from the sourceChain-of-thought reasoning (assistant messages only)Snapshot s10

Author-statedInferredHuman-confirmed

Medical-Reasoning-SFT-Mega license evidence 4

Hugging Face card metadataPage opened

Apache-2.0
Third-party text · Hugging Face card metadatalicense: apache-2.0
Statement found in snapshot s10 (readme)

huggingface.co2026-11-12 · s10
READMEPage opened

Apache-2.0
Third-party text · READMEApache 2.0
Statement found in snapshot s10 (readme)

huggingface.co2026-11-12 · s10
READMEPage opened

Third-party text · README- Not intended for clinical decision-making without expert review
Statement found in snapshot s10 (readme)

huggingface.co2026-11-12 · s10
READMEPage opened

Third-party text · README- This dataset is generated by AI models and should not be used as a substitute for professional medical advice
Statement found in snapshot s10 (readme)

huggingface.co2026-11-12 · s10

Source and lineage

No upstream or downstream datasets recorded.

Known issues with Medical-Reasoning-SFT-Mega

AI-generated responses may contain inaccuracies and should be validated by medical professionals.
Reasoning traces reflect model approaches and are not necessarily optimal clinical reasoning.

Preflight

Not run Runs only on ingested data; says nothing about quality.

Downloading Medical-Reasoning-SFT-Mega and API access

No file on Mdexa (see the verdict). Get it from the source and confirm the terms there:

huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega

36 files · 8.4 GB

curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/README.md"
curl -L --create-dirs -o "data/train-00000-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00000-of-00034.parquet"
echo "558553bfd8ffc78f1d21771855adc9de7ca9dce0b35d2561769d9b4e83c5ff3c  data/train-00000-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00001-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00001-of-00034.parquet"
echo "549bbf76e37e3e87f9f2a42c4f21975afaad91b6a7b617718e95e0752fef3f8d  data/train-00001-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00002-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00002-of-00034.parquet"
echo "6431010bc0fe28b7202a90be05f973ec965231a974c5022acf3c38be75ce37c3  data/train-00002-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00003-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00003-of-00034.parquet"
echo "88e2cb53acf8558f23c686d8d0bffcab14ba8649d9471cf9f51e9323233f0c11  data/train-00003-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00004-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00004-of-00034.parquet"
echo "0d32115d67b9a58827db358bcee4519d1f6f7a0e15e90252cc0f6b998ebc092a  data/train-00004-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00005-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00005-of-00034.parquet"
echo "3d37ad39c84ef06e1a435200ccdccf22b2b815da68fa6463d4863fdbb9e01b72  data/train-00005-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00006-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00006-of-00034.parquet"
echo "aa2011f4bdf651a9fbeedbba5e270b79b1002a2ec7f3d41e21a32278ceaadbe2  data/train-00006-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00007-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00007-of-00034.parquet"
echo "702a6668dea6d8ee2ff07f02ea371d25dff5954e18342cd02d6ec6bfe3b948b6  data/train-00007-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00008-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00008-of-00034.parquet"
echo "8e3006a4f0fac895b4fbf4e4521709bea0bc5bad8f957df0169f648764f32b18  data/train-00008-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00009-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00009-of-00034.parquet"
echo "f484fe6b9318bf9518b833012617148d0ec9b5359ab375b47105f46d51a4d279  data/train-00009-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00010-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00010-of-00034.parquet"
echo "fb73152f20f49105da113eb9a8e458ab843f2f178f76746bce56283af31d9152  data/train-00010-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00011-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00011-of-00034.parquet"
echo "2079517f859aa005a47f3c7be6df143b058331873d27a864478b86c612a2cc8f  data/train-00011-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00012-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00012-of-00034.parquet"
echo "ab6614cd88a827d981821147a05a7159f836644450e299761f9f0fd02046b255  data/train-00012-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00013-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00013-of-00034.parquet"
echo "d18bbe660af374a255e8d4f14efcb05927d380b16669e295c04ed370432120c3  data/train-00013-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00014-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00014-of-00034.parquet"
echo "69e55203d6f656302a56fa0ad52d9e80311a7052581e86ebe94aaa1d528dccc4  data/train-00014-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00015-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00015-of-00034.parquet"
echo "426c34cef3eb5b14481f26eac6bf4f86e535f4a80e04d21960206312601bf456  data/train-00015-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00016-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00016-of-00034.parquet"
echo "bd311a0f01a425038b97a6c22a0595e5b989ddbf19bf8a35d59113976a9cdd36  data/train-00016-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00017-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00017-of-00034.parquet"
echo "30b4493a8c8ed93b82ce863b7e8845392484828309269f78877f4d200b164e64  data/train-00017-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00018-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00018-of-00034.parquet"
echo "8af7831e8d62a7ea975b7606c1de159b0270a7ec4564b6be973e0f3ef6e3d440  data/train-00018-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00019-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00019-of-00034.parquet"
echo "2556da25ec6d60593f1570c91b57e2f229d5275afbcfba0f85cc56603948c625  data/train-00019-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00020-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00020-of-00034.parquet"
echo "6356f931af35eaed4ddb70892a8efd2ad6397a943d1cc63a06711ded9e85b3a5  data/train-00020-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00021-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00021-of-00034.parquet"
echo "d3e88a50a357ae27ce513d365e31bf6790d46b2a3a2e387ba0256afc9f3a5db4  data/train-00021-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00022-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00022-of-00034.parquet"
echo "1fb22f3a9750534d0a6616da0bebaeb17ba4e8be443bc8ef2ab09cf5a4ac21c1  data/train-00022-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00023-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00023-of-00034.parquet"
echo "f8ccaba5c3cd4b541b54748a72f5f5b3b53b9055ee29814d67f0dd7fe00b242e  data/train-00023-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00024-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00024-of-00034.parquet"
echo "c937e26d509c5d63741b33599306cdeb9f220cdbeba2a0144f1735e4f429bbea  data/train-00024-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00025-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00025-of-00034.parquet"
echo "d9484b2d07797d5aba82fceca3e506f70f08cc85795f3ecb717fa19a1fc2476c  data/train-00025-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00026-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00026-of-00034.parquet"
echo "b69c82f0496de5a346c4239360ab74068087592a3a7e9acd75d10d332629a38a  data/train-00026-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00027-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00027-of-00034.parquet"
echo "fece5f1f64cf1f60130ffb2bd4d5c30200ee219661270f29d7f2ff809160b24c  data/train-00027-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00028-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00028-of-00034.parquet"
echo "1b035020cf7b07db6c849a128dce558aa091060c513178c5e095999e7d5a435d  data/train-00028-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00029-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00029-of-00034.parquet"
echo "41c5063dabc85734801ea5bd1b8ab2e5b51e40dc1217f2dc2ff5ed3f8edcbacb  data/train-00029-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00030-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00030-of-00034.parquet"
echo "d802d0daf40ee11bc1613f768c397b3501972590120083a29a76211a6979e312  data/train-00030-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00031-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00031-of-00034.parquet"
echo "0f77cf58625ac9f74a1028787e7fd93b3e9fb9e3807bbddd24143253527e8b64  data/train-00031-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00032-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00032-of-00034.parquet"
echo "a6a2573009bff8aee7f19a332980c8fb1c4836ed75aff4b8159ab87077d425f0  data/train-00032-of-00034.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00033-of-00034.parquet" "https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00033-of-00034.parquet"
echo "ad716fd43e0553c233c411fcbd82e451995eb655caf55a03a7088df40976854d  data/train-00033-of-00034.parquet" | sha256sum -c

Citing Medical-Reasoning-SFT-Mega

Mdexa, Medical-Reasoning-SFT-Mega, https://mdexa.com/datasets/medical-reasoning-sft-mega/, verified 2026-11-14.

More citation details

The source gives no citation text; the line above cites this card.

Machine-readable

medical-reasoning-sft-mega.jsonmedical-reasoning-sft-mega.mdcatalog.json

Change log 13

2026-11-14	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-14	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13	Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

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LicensePermissiveRestrictedConflictUnstatedUnverifiable

MdexaHostedEligibleLink onlyPending

VerdictYesNoConditionalUnclear

Definitions

Permissive: Every statement agrees and allows commercial use and redistribution.
Restricted: A statement forbids commercial use or adaptation, limits use to research, or the rights belong to a third party or require payment.
Conflict: Statements in different places contradict each other.
Unstated: No data license statement was found.
Unverifiable: The page could not be opened, or only second-hand information was found.
Hosted: Mdexa serves the files. Needs a permissive license, no risk flags and a human sign-off.
Eligible: Permissive with no risk flags, waiting for a human sign-off.
Link only: Indexed and linked to the source: the license is restricted, or permissive with a risk flag.
Pending: License in conflict, unstated or unverifiable; linked to the source until resolved.
Exam-derived: Questions come from copyrighted examinations.
Scraped: Content was collected from websites.
Real patient text: Derived from real patient text; privacy authorisation needs checking.
Model-generated: Generated by a model; the model's output terms need checking.
Derived: Processed from other datasets, whose terms also apply.
Unknown provenance: The source is not stated, so its copyright cannot be judged.

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Similarmedical-o1-reasoning-SFT（中文子集）HuatuoGPT2-SFT-GPT4-140K ChatMed_Consult_Dataset

Continue in this database. This record is one of 109 processed and verified records (datasets, data resources and open models). To find others, call https://mcp.mdexa.com/v1/datasets?q=<words> or connect the MCP server at https://mcp.mdexa.com/mcp; no key is needed for 20 calls per minute. Rows are under 1 KB; an empty result means "not listed". For a list of items, one batch check (free account) returns a report. Guide: /agents.md. Similar records: medical-o1-reasoning-SFT（中文子集） (https://mdexa.com/datasets/medical-o1-reasoning-sft/); HuatuoGPT2-SFT-GPT4-140K (https://mdexa.com/datasets/huatuogpt2-sft-gpt4-140k/); ChatMed_Consult_Dataset (https://mdexa.com/datasets/chatmed-consult-dataset/).