# Medical-Reasoning-SFT-Mega License: permissive (Apache-2.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): model-generated. - Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No - License status: Permissive (Apache-2.0) - Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Risk flag(s): Model-generated. Link only. - Source risk: Model-generated - Last verified: 2026-11-14 - Card: https://mdexa.com/datasets/medical-reasoning-sft-mega/ ## Key facts - Domain: Clinical medicine - Content type: QA, dialogue and instruction data - Size: — — 1,789,998 samples - Language: English - Modality: Text - Publisher: OpenMed - Year: 2025 ## Commercial use of Medical-Reasoning-SFT-Mega - Commercial use: Yes. - License status: Permissive. - Conditions: Notice kept Verdicts record what sources state and are not legal advice. ## Medical-Reasoning-SFT-Mega license evidence first-hand data-scope statement(s) allow commercial use and redistribution - **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s10 (readme) — "license: apache-2.0" — https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega (2026-11-12; Page opened) - **README** — Apache-2.0: Statement found in snapshot s10 (readme) — "Apache 2.0" — https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega (2026-11-12; Page opened) - **README**: Statement found in snapshot s10 (readme) — "- Not intended for clinical decision-making without expert review" — https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega (2026-11-12; Page opened) - **README**: Statement found in snapshot s10 (readme) — "- This dataset is generated by AI models and should not be used as a substitute for professional medical advice" — https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega (2026-11-12; Page opened) ## Source and lineage — ## 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 (data not ingested). ## Downloading Medical-Reasoning-SFT-Mega and API access Mdexa does not serve files. Original source: - https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega ### Access recipe - .gitattributes · 2 KB · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/.gitattributes - README.md · 7 KB · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/README.md - data/train-00000-of-00034.parquet · 246.1 MB · sha256 558553bfd8ffc78f1d21771855adc9de7ca9dce0b35d2561769d9b4e83c5ff3c · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00000-of-00034.parquet - data/train-00001-of-00034.parquet · 246.8 MB · sha256 549bbf76e37e3e87f9f2a42c4f21975afaad91b6a7b617718e95e0752fef3f8d · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00001-of-00034.parquet - data/train-00002-of-00034.parquet · 246.9 MB · sha256 6431010bc0fe28b7202a90be05f973ec965231a974c5022acf3c38be75ce37c3 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00002-of-00034.parquet - data/train-00003-of-00034.parquet · 246.0 MB · sha256 88e2cb53acf8558f23c686d8d0bffcab14ba8649d9471cf9f51e9323233f0c11 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00003-of-00034.parquet - data/train-00004-of-00034.parquet · 245.5 MB · sha256 0d32115d67b9a58827db358bcee4519d1f6f7a0e15e90252cc0f6b998ebc092a · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00004-of-00034.parquet - data/train-00005-of-00034.parquet · 246.4 MB · sha256 3d37ad39c84ef06e1a435200ccdccf22b2b815da68fa6463d4863fdbb9e01b72 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00005-of-00034.parquet - data/train-00006-of-00034.parquet · 245.7 MB · sha256 aa2011f4bdf651a9fbeedbba5e270b79b1002a2ec7f3d41e21a32278ceaadbe2 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00006-of-00034.parquet - data/train-00007-of-00034.parquet · 246.8 MB · sha256 702a6668dea6d8ee2ff07f02ea371d25dff5954e18342cd02d6ec6bfe3b948b6 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00007-of-00034.parquet - data/train-00008-of-00034.parquet · 247.7 MB · sha256 8e3006a4f0fac895b4fbf4e4521709bea0bc5bad8f957df0169f648764f32b18 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00008-of-00034.parquet - data/train-00009-of-00034.parquet · 245.6 MB · sha256 f484fe6b9318bf9518b833012617148d0ec9b5359ab375b47105f46d51a4d279 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00009-of-00034.parquet - data/train-00010-of-00034.parquet · 246.3 MB · sha256 fb73152f20f49105da113eb9a8e458ab843f2f178f76746bce56283af31d9152 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00010-of-00034.parquet - data/train-00011-of-00034.parquet · 245.8 MB · sha256 2079517f859aa005a47f3c7be6df143b058331873d27a864478b86c612a2cc8f · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00011-of-00034.parquet - data/train-00012-of-00034.parquet · 247.2 MB · sha256 ab6614cd88a827d981821147a05a7159f836644450e299761f9f0fd02046b255 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00012-of-00034.parquet - data/train-00013-of-00034.parquet · 245.9 MB · sha256 d18bbe660af374a255e8d4f14efcb05927d380b16669e295c04ed370432120c3 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00013-of-00034.parquet - data/train-00014-of-00034.parquet · 245.7 MB · sha256 69e55203d6f656302a56fa0ad52d9e80311a7052581e86ebe94aaa1d528dccc4 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00014-of-00034.parquet - data/train-00015-of-00034.parquet · 245.9 MB · sha256 426c34cef3eb5b14481f26eac6bf4f86e535f4a80e04d21960206312601bf456 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00015-of-00034.parquet - data/train-00016-of-00034.parquet · 246.3 MB · sha256 bd311a0f01a425038b97a6c22a0595e5b989ddbf19bf8a35d59113976a9cdd36 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00016-of-00034.parquet - data/train-00017-of-00034.parquet · 246.0 MB · sha256 30b4493a8c8ed93b82ce863b7e8845392484828309269f78877f4d200b164e64 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00017-of-00034.parquet - data/train-00018-of-00034.parquet · 245.2 MB · sha256 8af7831e8d62a7ea975b7606c1de159b0270a7ec4564b6be973e0f3ef6e3d440 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00018-of-00034.parquet - data/train-00019-of-00034.parquet · 246.6 MB · sha256 2556da25ec6d60593f1570c91b57e2f229d5275afbcfba0f85cc56603948c625 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00019-of-00034.parquet - data/train-00020-of-00034.parquet · 245.7 MB · sha256 6356f931af35eaed4ddb70892a8efd2ad6397a943d1cc63a06711ded9e85b3a5 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00020-of-00034.parquet - data/train-00021-of-00034.parquet · 246.2 MB · sha256 d3e88a50a357ae27ce513d365e31bf6790d46b2a3a2e387ba0256afc9f3a5db4 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00021-of-00034.parquet - data/train-00022-of-00034.parquet · 245.9 MB · sha256 1fb22f3a9750534d0a6616da0bebaeb17ba4e8be443bc8ef2ab09cf5a4ac21c1 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00022-of-00034.parquet - data/train-00023-of-00034.parquet · 245.8 MB · sha256 f8ccaba5c3cd4b541b54748a72f5f5b3b53b9055ee29814d67f0dd7fe00b242e · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00023-of-00034.parquet - data/train-00024-of-00034.parquet · 246.7 MB · sha256 c937e26d509c5d63741b33599306cdeb9f220cdbeba2a0144f1735e4f429bbea · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00024-of-00034.parquet - data/train-00025-of-00034.parquet · 245.7 MB · sha256 d9484b2d07797d5aba82fceca3e506f70f08cc85795f3ecb717fa19a1fc2476c · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00025-of-00034.parquet - data/train-00026-of-00034.parquet · 246.5 MB · sha256 b69c82f0496de5a346c4239360ab74068087592a3a7e9acd75d10d332629a38a · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00026-of-00034.parquet - data/train-00027-of-00034.parquet · 246.2 MB · sha256 fece5f1f64cf1f60130ffb2bd4d5c30200ee219661270f29d7f2ff809160b24c · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00027-of-00034.parquet - data/train-00028-of-00034.parquet · 246.1 MB · sha256 1b035020cf7b07db6c849a128dce558aa091060c513178c5e095999e7d5a435d · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00028-of-00034.parquet - data/train-00029-of-00034.parquet · 245.3 MB · sha256 41c5063dabc85734801ea5bd1b8ab2e5b51e40dc1217f2dc2ff5ed3f8edcbacb · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00029-of-00034.parquet - data/train-00030-of-00034.parquet · 246.1 MB · sha256 d802d0daf40ee11bc1613f768c397b3501972590120083a29a76211a6979e312 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00030-of-00034.parquet - data/train-00031-of-00034.parquet · 245.4 MB · sha256 0f77cf58625ac9f74a1028787e7fd93b3e9fb9e3807bbddd24143253527e8b64 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00031-of-00034.parquet - data/train-00032-of-00034.parquet · 245.4 MB · sha256 a6a2573009bff8aee7f19a332980c8fb1c4836ed75aff4b8159ab87077d425f0 · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00032-of-00034.parquet - data/train-00033-of-00034.parquet · 245.7 MB · sha256 ad716fd43e0553c233c411fcbd82e451995eb655caf55a03a7088df40976854d · https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega/resolve/7adced6ff1fa04a6b022932ef25c71e56011fed9/data/train-00033-of-00034.parquet ```sh 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 No recommended citation text. ## Machine-readable - JSON: https://mdexa.com/datasets/medical-reasoning-sft-mega.json - 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). ## 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=` 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/).