repo_type string | repo_id string | name string | repo_key string | observed_at string | url string | author string | created_at string | last_modified string | sha string | description string | tags list | license string | pipeline_tag string | library_name string | sdk string | downloads int64 | likes int64 | gated string | private bool | base_models list | base_model_relation string | datasets list | models list | new_version list | payload_json string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dataset | 10bodrex/kopiKaP_cN | null | dataset:10bodrex/kopiKaP_cN | 2026-09-26T22:03:51.828226+00:00 | https://huggingface.co/datasets/10bodrex/kopiKaP_cN | 10bodrex | 2025-12-17T12:44:51.000Z | 2025-12-17T12:44:51.000Z | e54e4ac302b03f3116cb34abdba95b2f292ec836 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6942a5c3c424cf7a131c24ba","author":"10bodrex","createdAt":"2025-12-17T12:44:51.000Z","downloads":2,"gated":false,"id":"10bodrex/kopiKaP_cN","lastModified":"2025-12-17T12:44:51.000Z","likes":0,"private":false,"sha":"e54e4ac302b03f3116cb34abdba95b2f292ec836","tags":["region:us"]} |
dataset | 10bodrex/lqame_9221jL | null | dataset:10bodrex/lqame_9221jL | 2026-09-26T22:03:46.917711+00:00 | https://huggingface.co/datasets/10bodrex/lqame_9221jL | 10bodrex | 2025-12-10T16:39:45.000Z | 2025-12-10T16:39:45.000Z | fefbe0a4e8994a781733d4374b1a0c1a89e09465 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6939a2511f80551f1b36f9ef","author":"10bodrex","cardData":{"license":"apache-2.0"},"createdAt":"2025-12-10T16:39:45.000Z","downloads":3,"gated":false,"id":"10bodrex/lqame_9221jL","lastModified":"2025-12-10T16:39:45.000Z","likes":0,"private":false,"sha":"fefbe0a4e8994a781733d4374b1a0c1a89e09465","tags":["license:... |
dataset | 10bodrex/maMmy11_L0v33 | null | dataset:10bodrex/maMmy11_L0v33 | 2026-09-26T22:03:46.917711+00:00 | https://huggingface.co/datasets/10bodrex/maMmy11_L0v33 | 10bodrex | 2025-12-10T16:46:45.000Z | 2025-12-10T16:46:45.000Z | 3cdf99b12da0fb41d12327c51fb8ebad22cf97d6 | null | [
"license:artistic-2.0",
"region:us"
] | artistic-2.0 | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6939a3f5fe7f2bb4caa624d7","author":"10bodrex","cardData":{"license":"artistic-2.0"},"createdAt":"2025-12-10T16:46:45.000Z","downloads":3,"gated":false,"id":"10bodrex/maMmy11_L0v33","lastModified":"2025-12-10T16:46:45.000Z","likes":0,"private":false,"sha":"3cdf99b12da0fb41d12327c51fb8ebad22cf97d6","tags":["licen... |
dataset | 10bodrex/max-wayne | null | dataset:10bodrex/max-wayne | 2026-09-26T22:04:34.527755+00:00 | https://huggingface.co/datasets/10bodrex/max-wayne | 10bodrex | 2026-01-15T08:29:56.000Z | 2026-01-15T08:29:56.000Z | ef7379de5dc969dbe53f9ddd90ceaa3e873ad5fb | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6968a5847c8edbccd1d86ebf","author":"10bodrex","createdAt":"2026-01-15T08:29:56.000Z","downloads":1,"gated":false,"id":"10bodrex/max-wayne","lastModified":"2026-01-15T08:29:56.000Z","likes":0,"private":false,"sha":"ef7379de5dc969dbe53f9ddd90ceaa3e873ad5fb","tags":["region:us"]} |
dataset | 10bodrex/morshet.mori.666 | null | dataset:10bodrex/morshet.mori.666 | 2026-09-26T22:04:22.418293+00:00 | https://huggingface.co/datasets/10bodrex/morshet.mori.666 | 10bodrex | 2026-01-06T09:30:36.000Z | 2026-01-06T09:30:36.000Z | bb9cce03f07827af05855d84d1aad631f92d722e | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695cd63ca9cec4f412132fbd","author":"10bodrex","createdAt":"2026-01-06T09:30:36.000Z","downloads":2,"gated":false,"id":"10bodrex/morshet.mori.666","lastModified":"2026-01-06T09:30:36.000Z","likes":0,"private":false,"sha":"bb9cce03f07827af05855d84d1aad631f92d722e","tags":["region:us"]} |
dataset | 10bodrex/motoRol | null | dataset:10bodrex/motoRol | 2026-09-26T22:03:55.573925+00:00 | https://huggingface.co/datasets/10bodrex/motoRol | 10bodrex | 2025-12-22T09:28:56.000Z | 2025-12-22T09:28:56.000Z | 0b761230fc392551d7c692cce491fb61c820770d | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69490f5801886522f03166a3","author":"10bodrex","createdAt":"2025-12-22T09:28:56.000Z","downloads":3,"gated":false,"id":"10bodrex/motoRol","lastModified":"2025-12-22T09:28:56.000Z","likes":0,"private":false,"sha":"0b761230fc392551d7c692cce491fb61c820770d","tags":["region:us"]} |
dataset | 10bodrex/pavel_3.4M | null | dataset:10bodrex/pavel_3.4M | 2026-09-26T22:04:03.429396+00:00 | https://huggingface.co/datasets/10bodrex/pavel_3.4M | 10bodrex | 2025-12-28T07:21:10.000Z | 2025-12-28T07:21:10.000Z | b218197463f867fb781810f667c84919da488c87 | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6950da664faebbfcb59aa17d","author":"10bodrex","createdAt":"2025-12-28T07:21:10.000Z","downloads":3,"gated":false,"id":"10bodrex/pavel_3.4M","lastModified":"2025-12-28T07:21:10.000Z","likes":0,"private":false,"sha":"b218197463f867fb781810f667c84919da488c87","tags":["region:us"]} |
dataset | 10bodrex/protect-safe | null | dataset:10bodrex/protect-safe | 2026-09-26T22:04:34.527755+00:00 | https://huggingface.co/datasets/10bodrex/protect-safe | 10bodrex | 2026-01-15T08:21:41.000Z | 2026-01-15T08:21:41.000Z | 3c7de2559f7e9bf9b77c0c40e07dc6ea6c9cd36e | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6968a3957c8edbccd1d83cce","author":"10bodrex","createdAt":"2026-01-15T08:21:41.000Z","downloads":1,"gated":false,"id":"10bodrex/protect-safe","lastModified":"2026-01-15T08:21:41.000Z","likes":0,"private":false,"sha":"3c7de2559f7e9bf9b77c0c40e07dc6ea6c9cd36e","tags":["region:us"]} |
dataset | 10bodrex/the_Moong | null | dataset:10bodrex/the_Moong | 2026-09-26T22:03:53.921078+00:00 | https://huggingface.co/datasets/10bodrex/the_Moong | 10bodrex | 2025-12-20T06:35:08.000Z | 2025-12-20T06:35:09.000Z | df96f521d6ba07d8fd98777f3156a90f481aa449 | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6946439c45f8c4b27eb7843a","author":"10bodrex","createdAt":"2025-12-20T06:35:08.000Z","downloads":3,"gated":false,"id":"10bodrex/the_Moong","lastModified":"2025-12-20T06:35:09.000Z","likes":0,"private":false,"sha":"df96f521d6ba07d8fd98777f3156a90f481aa449","tags":["region:us"]} |
dataset | 10bodrex/veganuts.201 | null | dataset:10bodrex/veganuts.201 | 2026-09-26T22:04:13.510537+00:00 | https://huggingface.co/datasets/10bodrex/veganuts.201 | 10bodrex | 2026-01-03T07:40:36.000Z | 2026-01-03T07:40:36.000Z | 058d5cb064b5830458b8bf52b74d937749a9272b | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6958c7f4fa28bb1640b5a618","author":"10bodrex","createdAt":"2026-01-03T07:40:36.000Z","downloads":1,"gated":false,"id":"10bodrex/veganuts.201","lastModified":"2026-01-03T07:40:36.000Z","likes":0,"private":false,"sha":"058d5cb064b5830458b8bf52b74d937749a9272b","tags":["region:us"]} |
dataset | 10bodrex/vtZaiOc_fD | null | dataset:10bodrex/vtZaiOc_fD | 2026-09-26T22:03:48.266367+00:00 | https://huggingface.co/datasets/10bodrex/vtZaiOc_fD | 10bodrex | 2025-12-12T14:02:45.000Z | 2025-12-12T14:02:45.000Z | f252503676086fcfb312da52c5588dd99372f3ad | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693c2085c6c07c1ec04eceed","author":"10bodrex","createdAt":"2025-12-12T14:02:45.000Z","downloads":2,"gated":false,"id":"10bodrex/vtZaiOc_fD","lastModified":"2025-12-12T14:02:45.000Z","likes":0,"private":false,"sha":"f252503676086fcfb312da52c5588dd99372f3ad","tags":["region:us"]} |
dataset | 10bodrex/xMorin_new | null | dataset:10bodrex/xMorin_new | 2026-09-26T22:03:59.399327+00:00 | https://huggingface.co/datasets/10bodrex/xMorin_new | 10bodrex | 2025-12-25T12:39:01.000Z | 2025-12-25T12:39:01.000Z | 1ece96963a33597b87afdfe2bc468d3d3edb0a66 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"694d3065b9332fb77ed7dd9f","author":"10bodrex","createdAt":"2025-12-25T12:39:01.000Z","downloads":2,"gated":false,"id":"10bodrex/xMorin_new","lastModified":"2025-12-25T12:39:01.000Z","likes":0,"private":false,"sha":"1ece96963a33597b87afdfe2bc468d3d3edb0a66","tags":["region:us"]} |
dataset | 10bodrex/xbt.01.killer | null | dataset:10bodrex/xbt.01.killer | 2026-09-26T22:04:23.260877+00:00 | https://huggingface.co/datasets/10bodrex/xbt.01.killer | 10bodrex | 2026-01-07T06:11:50.000Z | 2026-01-07T06:11:50.000Z | 06c668818c2cf6cb2ba3c7eb1cc939646b8a78cc | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695df926a127279d78ae107f","author":"10bodrex","createdAt":"2026-01-07T06:11:50.000Z","downloads":3,"gated":false,"id":"10bodrex/xbt.01.killer","lastModified":"2026-01-07T06:11:50.000Z","likes":0,"private":false,"sha":"06c668818c2cf6cb2ba3c7eb1cc939646b8a78cc","tags":["region:us"]} |
dataset | 10bodrex/xxx.404.trial | null | dataset:10bodrex/xxx.404.trial | 2026-09-26T22:04:15.273561+00:00 | https://huggingface.co/datasets/10bodrex/xxx.404.trial | 10bodrex | 2026-01-04T09:07:02.000Z | 2026-01-04T09:07:02.000Z | cc331f949b94b612c8395b1c3ac4e31877fc3b65 | null | [
"not-for-all-audiences",
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695a2db6a50a975be8c6fc6d","author":"10bodrex","createdAt":"2026-01-04T09:07:02.000Z","downloads":2,"gated":false,"id":"10bodrex/xxx.404.trial","lastModified":"2026-01-04T09:07:02.000Z","likes":0,"private":false,"sha":"cc331f949b94b612c8395b1c3ac4e31877fc3b65","tags":["region:us","not-for-all-audiences"]} |
dataset | 10bodrex/yuruuUi1 | null | dataset:10bodrex/yuruuUi1 | 2026-09-26T22:03:47.451350+00:00 | https://huggingface.co/datasets/10bodrex/yuruuUi1 | 10bodrex | 2025-12-11T13:59:34.000Z | 2025-12-11T13:59:34.000Z | ce5614b0045128379ecbcfc7438efe6b5560228d | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693ace46f6b485a8b4e4bb25","author":"10bodrex","createdAt":"2025-12-11T13:59:34.000Z","downloads":2,"gated":false,"id":"10bodrex/yuruuUi1","lastModified":"2025-12-11T13:59:34.000Z","likes":0,"private":false,"sha":"ce5614b0045128379ecbcfc7438efe6b5560228d","tags":["region:us"]} |
dataset | 10doshi12/firewatch-sft-data | null | dataset:10doshi12/firewatch-sft-data | 2026-09-26T22:20:46.688870+00:00 | https://huggingface.co/datasets/10doshi12/firewatch-sft-data | 10doshi12 | 2026-04-25T11:46:06.000Z | 2026-09-25T01:58:51.000Z | 6d3b18abf415ad14a8f360cb462e19906c413830 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 72 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69eca97e56f14d943d0e3d18","author":"10doshi12","cardData":{"license":"mit"},"createdAt":"2026-04-25T11:46:06.000Z","downloads":72,"gated":false,"id":"10doshi12/firewatch-sft-data","lastModified":"2026-09-25T01:58:51.000Z","likes":0,"private":false,"sha":"6d3b18abf415ad14a8f360cb462e19906c413830","tags":["licens... |
dataset | 10e777/CTU-SME-11-Dataset | null | dataset:10e777/CTU-SME-11-Dataset | 2026-09-26T22:00:09.977703+00:00 | https://huggingface.co/datasets/10e777/CTU-SME-11-Dataset | 10e777 | 2025-04-22T01:10:08.000Z | 2025-04-22T01:10:11.000Z | 4c1d401e4a81a1e6df86912b390bb36bb240ffdc | null | [
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] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6806ec705231d4a2ddf43e46","author":"10e777","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":2010483,"download_size":1764572,"features":[{"dtype":"image","name":"image"},{"dtype":"int64",... |
dataset | 10jqk1/test_dataset | null | dataset:10jqk1/test_dataset | 2026-09-26T21:58:31.541747+00:00 | https://huggingface.co/datasets/10jqk1/test_dataset | 10jqk1 | 2024-02-06T06:31:57.000Z | 2024-02-06T06:36:02.000Z | db8324edf0bdb4d84841901e812a88f199f71701 | null | [
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] | null | null | null | null | 20 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65c1d25d88812bbe20407e39","author":"10jqk1","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":2955300638,"download_size":1432594974,"features":[{"dtype":"string","name":"instruction"},{"dtype":"string","name":"id"},{"dtype":"s... |
dataset | 10kyurue1/my_first_lora_v1-dataset | null | dataset:10kyurue1/my_first_lora_v1-dataset | 2026-09-26T22:20:46.236740+00:00 | https://huggingface.co/datasets/10kyurue1/my_first_lora_v1-dataset | 10kyurue1 | 2026-04-24T08:25:19.000Z | 2026-04-24T08:25:21.000Z | 5dcc7d2b22888bac219701caa529b9576a5270b2 | null | [
"format:imagefolder",
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] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69eb28ef221ce65a1874dccd","author":"10kyurue1","createdAt":"2026-04-24T08:25:19.000Z","downloads":2,"gated":false,"id":"10kyurue1/my_first_lora_v1-dataset","lastModified":"2026-04-24T08:25:21.000Z","likes":0,"private":false,"sha":"5dcc7d2b22888bac219701caa529b9576a5270b2","tags":["size_categories:n<1K","format:... |
dataset | 10n9/CombStruct4Lean | null | dataset:10n9/CombStruct4Lean | 2026-09-26T22:00:22.929978+00:00 | https://huggingface.co/datasets/10n9/CombStruct4Lean | 10n9 | 2025-05-15T18:42:21.000Z | 2025-05-15T18:45:02.000Z | 2f34c427391ea8573423b88314a647225cf73ed5 | CombStruct4Lean
CombStruct4Lean is a benchmark of 383 formalized combinatorics problems in the Lean 4 proof assistant, sourced from high-school olympiad-level math competitions. Unlike existing datasets, CombStruct4Lean emphasizes the creation and use of problem-specific combinatorial structures, making it particula... | [
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"region:us",
"size_categories:n<1K"
] | cc-by-4.0 | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6826358dd3c87eec0b29a8c2","author":"10n9","cardData":{"license":"cc-by-4.0","size_categories":["n<1K"],"tags":["code"]},"createdAt":"2025-05-15T18:42:21.000Z","description":"\n\t\n\t\t\n\t\tCombStruct4Lean\n\t\n\nCombStruct4Lean is a benchmark of 383 formalized combinatorics problems in the Lean 4 proof assista... |
dataset | 10orange/TF_Cup | null | dataset:10orange/TF_Cup | 2026-09-26T22:02:32.413748+00:00 | https://huggingface.co/datasets/10orange/TF_Cup | 10orange | 2025-08-15T14:03:55.000Z | 2025-08-15T14:13:58.000Z | 6a1441224d2e7fdbd64de325cce1d7f656a801c1 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"689f3e4b1fd75bd9bca7a084","author":"10orange","createdAt":"2025-08-15T14:03:55.000Z","downloads":1,"gated":false,"id":"10orange/TF_Cup","lastModified":"2025-08-15T14:13:58.000Z","likes":0,"private":false,"sha":"6a1441224d2e7fdbd64de325cce1d7f656a801c1","tags":["region:us"]} |
dataset | 10park/aloha_sim_random_v0 | null | dataset:10park/aloha_sim_random_v0 | 2026-09-26T22:03:31.858148+00:00 | https://huggingface.co/datasets/10park/aloha_sim_random_v0 | 10park | 2025-11-21T11:43:34.000Z | 2025-12-10T15:42:33.000Z | 0babeed1651cbf439fd64ec69de49639adce9dff | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha_sim",
"total_episodes": 20,
"total_frames": 4000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500... | [
"LeRobot",
"aloha",
"gym-aloha",
"lerobot",
"license:apache-2.0",
"region:us",
"simulation",
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] | apache-2.0 | null | null | null | 52 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69205066697bf1a7ac9408b1","author":"10park","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot","lerobot","gym-aloha","simulation","aloha"],"task_categories":["robotics"]},"createdAt":"2025-11-21T11:43:34.000Z","description":"This dataset wa... |
dataset | 10park/aloha_sim_teleop_single_arm_v0 | null | dataset:10park/aloha_sim_teleop_single_arm_v0 | 2026-09-26T22:03:34.404367+00:00 | https://huggingface.co/datasets/10park/aloha_sim_teleop_single_arm_v0 | 10park | 2025-11-22T04:25:35.000Z | 2025-11-22T05:48:01.000Z | 0122c35358d5203f1eaa8ae6d22a13c2037e85f7 | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"robot_type": "aloha_sim_teleop_single_arm",
"total_episodes": 5,
"total_frames": 941,
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"chunks_size": 1000,
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"video_files_... | [
"LeRobot",
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"region:us",
"simulation",
"single-arm",
"task_categories:robotics",
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] | apache-2.0 | null | null | null | 64 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69213b3f8b52b78584d2d47b","author":"10park","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot","lerobot","gym-aloha","simulation","aloha","teleop","single-arm","other-arm-far"],"task_categories":["robotics"]},"createdAt":"2025-11-22T04:25:3... |
dataset | 10park/aloha_sim_teleop_wasd_v0 | null | dataset:10park/aloha_sim_teleop_wasd_v0 | 2026-09-26T22:03:34.404367+00:00 | https://huggingface.co/datasets/10park/aloha_sim_teleop_wasd_v0 | 10park | 2025-11-22T03:56:47.000Z | 2025-11-22T03:56:57.000Z | 175e711b326e0f2494a78e626383d0a7cc30c166 | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha_sim_teleop",
"total_episodes": 5,
"total_frames": 1500,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb... | [
"LeRobot",
"aloha",
"gym-aloha",
"lerobot",
"license:apache-2.0",
"region:us",
"simulation",
"task_categories:robotics",
"teleop"
] | apache-2.0 | null | null | null | 57 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6921347fe4d00b508409619f","author":"10park","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot","lerobot","gym-aloha","simulation","aloha","teleop"],"task_categories":["robotics"]},"createdAt":"2025-11-22T03:56:47.000Z","description":"This d... |
dataset | 10park/aloha_sim_transfer_cube_human_v21 | null | dataset:10park/aloha_sim_transfer_cube_human_v21 | 2026-09-26T22:03:06.443641+00:00 | https://huggingface.co/datasets/10park/aloha_sim_transfer_cube_human_v21 | 10park | 2025-10-10T10:51:25.000Z | 2025-10-10T11:01:28.000Z | 7371c7f3fafdf969259e6d4539eae8bc01a83483 | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"spl... | [
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"modality:tabular",
"modality:timeseries",
"modality:video",
"region:us",
"size_categories:10K<n<100K",
"task_categories:robotics"
] | mit | null | null | null | 46 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68e8e52da9c072f9ea8e9bbc","author":"10park","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"mit","tags":["LeRobot","aloha"],"task_categories":["robotics"]},"createdAt":"2025-10-10T10:51:25.000Z","description":"This dataset was created using LeRobot.\n\n\t\n\t\t\n\t\n... |
dataset | 10pi/puple-math-dpo | null | dataset:10pi/puple-math-dpo | 2026-09-26T22:00:23.768127+00:00 | https://huggingface.co/datasets/10pi/puple-math-dpo | 10pi | 2025-05-17T05:07:28.000Z | 2025-05-17T05:07:31.000Z | ebe27455caa5c5e92bbfe7dfd713ee4328bc4cbe | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6828199037df496a1af754be","author":"10pi","createdAt":"2025-05-17T05:07:28.000Z","downloads":3,"gated":false,"id":"10pi/puple-math-dpo","lastModified":"2025-05-17T05:07:31.000Z","likes":0,"private":false,"sha":"ebe27455caa5c5e92bbfe7dfd713ee4328bc4cbe","tags":["region:us"]} |
dataset | 10satyam01/DRvit | null | dataset:10satyam01/DRvit | 2026-09-26T21:58:36.772662+00:00 | https://huggingface.co/datasets/10satyam01/DRvit | 10satyam01 | 2024-03-04T08:27:41.000Z | 2024-03-04T08:27:41.000Z | 001b69e948464a658233155a802e3494a2abd216 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65e585fdf4a700ec2dda488e","author":"10satyam01","createdAt":"2024-03-04T08:27:41.000Z","downloads":2,"gated":false,"id":"10satyam01/DRvit","lastModified":"2024-03-04T08:27:41.000Z","likes":0,"private":false,"sha":"001b69e948464a658233155a802e3494a2abd216","tags":["region:us"]} |
dataset | 10satyam01/dr_dataset | null | dataset:10satyam01/dr_dataset | 2026-09-26T21:58:36.772662+00:00 | https://huggingface.co/datasets/10satyam01/dr_dataset | 10satyam01 | 2024-03-04T08:37:38.000Z | 2024-03-04T08:37:38.000Z | 5e753b82ac5940b8e576c033771c1ef6f4655a37 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65e58852a9b6993b3357d360","author":"10satyam01","createdAt":"2024-03-04T08:37:38.000Z","downloads":2,"gated":false,"id":"10satyam01/dr_dataset","lastModified":"2024-03-04T08:37:38.000Z","likes":0,"private":false,"sha":"5e753b82ac5940b8e576c033771c1ef6f4655a37","tags":["region:us"]} |
dataset | 10serginho10/Sol-Dataset-v0.1 | null | dataset:10serginho10/Sol-Dataset-v0.1 | 2026-09-26T22:05:14.495503+00:00 | https://huggingface.co/datasets/10serginho10/Sol-Dataset-v0.1 | 10serginho10 | 2026-03-03T18:54:29.000Z | 2026-03-03T18:54:33.000Z | 361eb08f23a53af3dfd7c9f3f1d5dcad10a6ecfe | null | [
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] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a72e65d75ac00048e801d4","author":"10serginho10","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":10995,"download_size":5107,"features":[{"list":[{"dtype":"string","name":"role"},{"dtype":"string","name":"content"}],"name":"... |
dataset | 10shq10/ControlGen_Syn | null | dataset:10shq10/ControlGen_Syn | 2026-09-26T22:02:44.490279+00:00 | https://huggingface.co/datasets/10shq10/ControlGen_Syn | 10shq10 | 2025-09-08T09:44:50.000Z | 2025-09-18T08:45:16.000Z | f06d4de7991c26899e6fedebeb1a1eded335d507 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"68bea5928f17a80f712576ed","author":"10shq10","createdAt":"2025-09-08T09:44:50.000Z","downloads":1,"gated":"auto","id":"10shq10/ControlGen_Syn","lastModified":"2025-09-18T08:45:16.000Z","likes":0,"private":false,"sha":"f06d4de7991c26899e6fedebeb1a1eded335d507","tags":["region:us"]} |
dataset | 10shq10/PrismaDataset | null | dataset:10shq10/PrismaDataset | 2026-09-26T22:20:32.038766+00:00 | https://huggingface.co/datasets/10shq10/PrismaDataset | 10shq10 | 2026-03-19T02:07:12.000Z | 2026-06-16T04:51:23.000Z | 81c28d9284f9a753c87c4bd2117cf053748341f4 | null | [
"library:datasets",
"library:mlcroissant",
"modality:video",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 2 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"69bb5a5046787365688153cf","author":"10shq10","createdAt":"2026-03-19T02:07:12.000Z","downloads":2,"gated":"manual","id":"10shq10/PrismaDataset","lastModified":"2026-06-16T04:51:23.000Z","likes":0,"private":false,"sha":"81c28d9284f9a753c87c4bd2117cf053748341f4","tags":["size_categories:10K<n<100K","modality:vide... |
dataset | 10shq10/pano_bench | null | dataset:10shq10/pano_bench | 2026-09-26T22:21:06.148246+00:00 | https://huggingface.co/datasets/10shq10/pano_bench | 10shq10 | 2026-05-29T13:13:32.000Z | 2026-05-29T13:21:31.000Z | 6a525113ee9ee3e1048edc456af4e42cbdbfbb98 | null | [
"library:datasets",
"library:mlcroissant",
"modality:text",
"modality:video",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 805 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1990fc14ed232317e8f516","author":"10shq10","createdAt":"2026-05-29T13:13:32.000Z","downloads":805,"gated":false,"id":"10shq10/pano_bench","lastModified":"2026-05-29T13:21:31.000Z","likes":0,"private":false,"sha":"6a525113ee9ee3e1048edc456af4e42cbdbfbb98","tags":["size_categories:n<1K","modality:text","modalit... |
dataset | 10shq10/val_dataset | null | dataset:10shq10/val_dataset | 2026-09-26T22:21:12.065927+00:00 | https://huggingface.co/datasets/10shq10/val_dataset | 10shq10 | 2026-06-08T08:49:27.000Z | 2026-06-08T09:26:53.000Z | f874fbba6dc34ad0205a48fa32683efcf68e57f3 | null | [
"library:datasets",
"library:mlcroissant",
"modality:text",
"modality:video",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 3 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6a26821702e24332c076fcd9","author":"10shq10","createdAt":"2026-06-08T08:49:27.000Z","downloads":3,"gated":"manual","id":"10shq10/val_dataset","lastModified":"2026-06-08T09:26:53.000Z","likes":0,"private":false,"sha":"f874fbba6dc34ad0205a48fa32683efcf68e57f3","tags":["size_categories:1K<n<10K","modality:text","m... |
dataset | 10wind/Mono-Label-120k | null | dataset:10wind/Mono-Label-120k | 2026-09-26T22:21:13.779104+00:00 | https://huggingface.co/datasets/10wind/Mono-Label-120k | 10wind | 2026-06-11T03:15:31.000Z | 2026-07-06T21:18:11.000Z | f72673fe0352aafa295c34669d6aa47edab1fac6 | FOA Static 2-Source Edit Metadata 500k
This repository is a compact, reproducible package for rendering static two-source FOA edit scenes.
It is intended to be downloaded on multiple servers, then locally rendered into FOA crops or full-scene validation audio.
Contents
data/: Mono-Label-120k source p... | [
"region:us"
] | null | null | null | null | 519 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a2a2853dc61afb3ea91da69","author":"10wind","createdAt":"2026-06-11T03:15:31.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tFOA Static 2-Source Edit Metadata 500k\n\t\n\nThis repository is a compact, reproducible package for rendering static two-source FOA edit scenes.\nIt is intended to be downloaded on multiple... |
dataset | 10wind/PhysWave-SpatialData | null | dataset:10wind/PhysWave-SpatialData | 2026-09-26T22:21:02.140139+00:00 | https://huggingface.co/datasets/10wind/PhysWave-SpatialData | 10wind | 2026-05-23T17:37:40.000Z | 2026-05-23T19:14:48.000Z | c64ab5c454075653e980ca395dca2b7ad16435e6 | PhysWave SpatialData
Processed PhysWave spatial audio training data. Each row contains one 10-second
16 kHz mono WAV clip in audio, text metadata, CLAP score, and spatial params.
static_params and moving_params are JSON strings. | [
"format:parquet",
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"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a11e5e4fe35e69c7c997cd1","author":"10wind","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*.parquet","split":"train"},{"path":"data/test-*.parquet","split":"test"}]}]},"createdAt":"2026-05-23T17:37:40.000Z","description":"\n\t\n\t\t\n\t\tPhysWave SpatialData\n\t\n\nProcessed ... |
dataset | 10wind/PhysWave_dataset | null | dataset:10wind/PhysWave_dataset | 2026-09-26T22:21:27.923817+00:00 | https://huggingface.co/datasets/10wind/PhysWave_dataset | 10wind | 2026-07-15T01:33:53.000Z | 2026-07-15T04:07:28.000Z | 4ecde3fcf635b8f08490ecef6ea2d84c77be5d74 | PhysWave Dataset
Pre-rendered first-order ambisonic (FOA) release derived from Mono-Label-120k.
Each mono source clip is rendered twice: one static trajectory and one
deterministic moving trajectory (linear, circular, or approach_recede).
Audio is stored in parquet rows as an audio struct with embedded PCM16 WAV
byt... | [
"audio",
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"modality:tabular",
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"parquet",
"pcm16",
"region:us",
"size_categories:100K<n<1... | unknown | null | null | null | 44 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a56e381eb286d735e9fca4f","author":"10wind","cardData":{"language":["en"],"license":"unknown","tags":["audio","spatial-audio","first-order-ambisonics","foa","pcm16","parquet"],"task_categories":["text-to-audio","audio-to-audio"]},"createdAt":"2026-07-15T01:33:53.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tPhys... |
dataset | 10x-engineer/Opus-4.6-Reasoning-3300x | null | dataset:10x-engineer/Opus-4.6-Reasoning-3300x | 2026-09-26T22:05:13.487342+00:00 | https://huggingface.co/datasets/10x-engineer/Opus-4.6-Reasoning-3300x | 10x-engineer | 2026-03-01T18:21:29.000Z | 2026-03-01T18:21:30.000Z | c56893876262bef7c06707e0a5d062815ec8593a | Opus-4.6-Reasoning-3000x (Cleaned)
This dataset has been automatically cleaned to remove:
Empty or missing responses
Responses shorter than 10 characters
Refusal responses ("problem is incomplete", "cannot solve", etc.)
Responses with no substantive content
Responses that just echo the problem
Cleaning Rep... | [
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"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | apache-2.0 | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a483a98c20c63f7baecb95","author":"10x-engineer","cardData":{"license":"apache-2.0"},"createdAt":"2026-03-01T18:21:29.000Z","description":"\n\t\n\t\t\n\t\tOpus-4.6-Reasoning-3000x (Cleaned)\n\t\n\nThis dataset has been automatically cleaned to remove:\n\nEmpty or missing responses\nResponses shorter than 10 ch... |
dataset | 10xtechnologieS/telugu_instruction_dataset | null | dataset:10xtechnologieS/telugu_instruction_dataset | 2026-09-26T22:20:36.439151+00:00 | https://huggingface.co/datasets/10xtechnologieS/telugu_instruction_dataset | 10xtechnologieS | 2026-03-30T06:16:20.000Z | 2026-03-30T06:24:41.000Z | a618ee52c09e285a9f76cc2c92a177ea95aafdb6 | Telugu Instruction Dataset — Luuka AI
Built by 10x Technologies — a curated Telugu-language instruction-tuning dataset for training the Luuka voice assistant.
Overview
This dataset contains 7,496 instruction–response pairs and 399 multi-turn conversations in Telugu, covering a broad range of natural voic... | [
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"format:json",
"instruction-tuning",
"language:te",
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"license:apache-2.0",
"low-resource-language",
"luuka",
"modality:text",
"region:us",
"size_categories:1K<n<10K",
"southern-indian-langua... | apache-2.0 | null | null | null | 85 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ca15344feea1810e27b504","author":"10xtechnologieS","cardData":{"configs":[{"config_name":"conversational","data_files":[{"path":"File-1_Conversational.jsonl","split":"train"}]},{"config_name":"emotional_responses","data_files":[{"path":"File-2_Emotional Responses.jsonl","split":"train"}]},{"config_name":"rag"... |
dataset | 10zinten/op_classical_corpus_bo | null | dataset:10zinten/op_classical_corpus_bo | 2026-09-26T21:57:58.922304+00:00 | https://huggingface.co/datasets/10zinten/op_classical_corpus_bo | 10zinten | 2022-03-23T10:53:48.000Z | 2022-10-23T05:21:37.000Z | f2d4e2258fe51ace7062bbeb2a55ad1e890d1c72 | Licensing information
Apple MIT License (AML). | [
"annotations_creators:no-annotation",
"language:bo",
"language_creators:crowdsourced",
"license:other",
"multilinguality:monolingual",
"region:us",
"source_datasets:extended|other",
"task_ids:language-modeling"
] | null | null | null | null | 29 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"623afc3c9f6684857febe730","author":"10zinten","cardData":{"annotations_creators":["no-annotation"],"language":["bo"],"language_creators":["crowdsourced"],"license":["other"],"multilinguality":["monolingual"],"pretty_name":"Tibetan Classical Buddhist Text Corpus","size_categories":["unknown"],"source_datasets":[... |
dataset | 11-47/AI-Helps-Finding-Best-Merging-LLMs | null | dataset:11-47/AI-Helps-Finding-Best-Merging-LLMs | 2026-09-26T22:20:35.008108+00:00 | https://huggingface.co/datasets/11-47/AI-Helps-Finding-Best-Merging-LLMs | 11-47 | 2026-03-26T08:04:53.000Z | 2026-03-26T21:18:23.000Z | 1924f2722091bf31db484e160d63a2d67295e4d2 | Dataset Card for AI Helps Finding Best Merging LLMs
Dataset Summary
AI Helps Finding Best Merging LLMs is a prompt-response comparison dataset created by manually submitting the same user-written evaluation template to multiple LLM applications and collecting their responses.
The creator and founder o... | [
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"llm",
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"mixture-of-experts",
"modality:document",
"model-merging",
"model-ranking",
"moe",
"open-source-llm",
"prompt-comparison",
"reasoning",
"reg... | other | null | null | null | 46 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c4e8a5be88d9e8c2b10190","author":"11-47","cardData":{"language":["en"],"license":"other","pretty_name":"AI Helps Finding Best Merging LLMs","size_categories":["n<1K"],"tags":["llm","llm-comparison","model-ranking","model-merging","mixture-of-experts","moe","prompt-comparison","ai-research","open-source-llm","... |
dataset | 11-47/AI_Fiends_4_This_50k | null | dataset:11-47/AI_Fiends_4_This_50k | 2026-09-26T22:21:04.671848+00:00 | https://huggingface.co/datasets/11-47/AI_Fiends_4_This_50k | 11-47 | 2026-05-27T09:23:04.000Z | 2026-05-27T09:24:56.000Z | c5889d28a80e8303da6ea24fdebb2300eaea6e91 | AI_Fiends_4_This
Execution-verified repair trajectory dataset developed in collaboration with WithIn Us AI.
Overview
AI_Fiends_4_This is a large-scale execution-grounded synthetic repair dataset focused on:
autonomous debugging
repair supervision
execution-aware reasoning
traceback interpretation
ass... | [
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"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 24 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a16b7f8e7a09aea3725f5ce","author":"11-47","createdAt":"2026-05-27T09:23:04.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tAI_Fiends_4_This\n\t\n\nExecution-verified repair trajectory dataset developed in collaboration with WithIn Us AI.\n\n\t\n\t\t\n\t\n\t\n\t\tOverview\n\t\n\nAI_Fiends_4_This is a large-scale e... |
dataset | 11-47/AgentAngel_100k | null | dataset:11-47/AgentAngel_100k | 2026-09-26T22:04:22.857568+00:00 | https://huggingface.co/datasets/11-47/AgentAngel_100k | 11-47 | 2026-01-06T14:52:15.000Z | 2026-01-06T14:55:15.000Z | dfa7ac1463c4b0b9891e931afee0eefeac31f036 | Within Us AI — AgentAngel_100k (Agentic Coding 2026)
AgentAngel is a master-scholar, evidence-backed dataset family for training and evaluating agentic coding models that plan, patch, run checks, and iterate with tests-as-truth.
This release contains 100,000 examples per split (500,000 JSONL rows total):
Q&A (facts... | [
"agentangel",
"agentic",
"agents-md",
"code",
"evaluation",
"language:en",
"license:cc0-1.0",
"mcp",
"prompt-injection",
"reasoning",
"region:us",
"security",
"software-engineering",
"swe-agent",
"swe-bench",
"task_categories:question-answering",
"task_categories:text-generation",
... | cc0-1.0 | null | null | null | 80 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d219fce33bbec61f5f4a5","author":"11-47","cardData":{"language":["en"],"license":"cc0-1.0","pretty_name":"AgentAngel_100k (Agentic Coding 2026)","tags":["within-us-ai","agentangel","agentic","software-engineering","code","reasoning","evaluation","swe-bench","swe-agent","tool-calling","mcp","agents-md","securi... |
dataset | 11-47/AgentAngel_10k | null | dataset:11-47/AgentAngel_10k | 2026-09-26T22:04:22.857568+00:00 | https://huggingface.co/datasets/11-47/AgentAngel_10k | 11-47 | 2026-01-06T14:31:42.000Z | 2026-01-06T14:35:05.000Z | 661087a808286431422d676d228b261f6fd94dc9 | Within Us AI — AgentAngel_10k (Agentic Coding 2026)
AgentAngel is a master-scholar, evidence-backed dataset family for training and evaluating agentic coding models that plan, patch, run checks, and iterate with tests-as-truth.
This release contains 10,000 examples per split (50,000 JSONL rows total):
Q&A: fact-gro... | [
"agentangel",
"agentic",
"agents-md",
"code",
"evaluation",
"language:en",
"license:cc0-1.0",
"mcp",
"prompt-injection",
"reasoning",
"region:us",
"security",
"software-engineering",
"swe-agent",
"swe-bench",
"task_categories:question-answering",
"task_categories:text-generation",
... | cc0-1.0 | null | null | null | 57 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d1ccee1c1e47f37f6e2bc","author":"11-47","cardData":{"language":["en"],"license":"cc0-1.0","pretty_name":"AgentAngel_10k (Agentic Coding 2026)","tags":["within-us-ai","agentangel","agentic","software-engineering","code","reasoning","evaluation","swe-bench","swe-agent","tool-calling","mcp","agents-md","securit... |
dataset | 11-47/AgentAngel_1k_Demo | null | dataset:11-47/AgentAngel_1k_Demo | 2026-09-26T22:04:22.418293+00:00 | https://huggingface.co/datasets/11-47/AgentAngel_1k_Demo | 11-47 | 2026-01-06T14:18:33.000Z | 2026-01-06T14:21:11.000Z | b9a9f104fe90d4c11ebb25ab8d93b1748ae885d5 | Within Us AI — AgentAngel_1k_Demo (Agentic Coding 2026)
AgentAngel is a verification-first dataset family for training and evaluating agentic coding models that plan, patch, run checks, and iterate.
This demo pack contains 1,000 examples per split (5,000 JSONL rows total):
Q&A: fact-grounded with rights/wrongs
Inst... | [
"agentangel",
"agentic",
"ci",
"code",
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"license:cc0-1.0",
"reasoning",
"region:us",
"security",
"task_categories:question-answering",
"task_categories:text-generation",
"tool-calling",
"within-us-ai"
] | cc0-1.0 | null | null | null | 30 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d19b9af2e5efffeb6d52f","author":"11-47","cardData":{"language":["en"],"license":"cc0-1.0","pretty_name":"AgentAngel_1k_Demo (Agentic Coding 2026)","tags":["within-us-ai","agentangel","agentic","code","reasoning","evaluation","ci","tool-calling","security"],"task_categories":["text-generation","question-answe... |
dataset | 11-47/AgentAngel_50k | null | dataset:11-47/AgentAngel_50k | 2026-09-26T22:04:22.857568+00:00 | https://huggingface.co/datasets/11-47/AgentAngel_50k | 11-47 | 2026-01-06T14:46:01.000Z | 2026-01-06T14:48:42.000Z | 3ba9ab7875715c0abb208b63c27327611d1525ba | Within Us AI — AgentAngel_50k (Agentic Coding 2026)
AgentAngel is a master-scholar, evidence-backed dataset family for training and evaluating agentic coding models that plan, patch, run checks, and iterate with tests-as-truth.
This release contains 50,000 examples per split (250,000 JSONL rows total):
Q&A: fact-gr... | [
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"security",
"software-engineering",
"swe-agent",
"swe-bench",
"task_categories:question-answering",
"task_categories:text-generation",
... | cc0-1.0 | null | null | null | 80 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d2029e5317f250bb8d477","author":"11-47","cardData":{"language":["en"],"license":"cc0-1.0","pretty_name":"AgentAngel_50k (Agentic Coding 2026)","tags":["within-us-ai","agentangel","agentic","software-engineering","code","reasoning","evaluation","swe-bench","swe-agent","tool-calling","mcp","agents-md","securit... |
dataset | 11-47/AgentAngel_v0_sample | null | dataset:11-47/AgentAngel_v0_sample | 2026-09-26T22:04:22.418293+00:00 | https://huggingface.co/datasets/11-47/AgentAngel_v0_sample | 11-47 | 2026-01-06T14:02:05.000Z | 2026-01-06T14:08:03.000Z | b0baba85fa45a0af40e8ee71e156a86a3cbe675c | Within Us AI — AgentAngel v0 Samples (25 rows)
Generated: 2026-01-06
This zip contains a v0 sample pack for AgentAngel (Agentic Coding 2026), adhering to your master-scholar requirements:
Evidence-backed rows (evidence_sources URLs)
Rights/Wrongs labels included
Multi-format: Q&A, Instruct, Thinking, Reasoning, Cha... | [
"region:us"
] | null | null | null | null | 32 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d15dd06008cf39168e322","author":"11-47","createdAt":"2026-01-06T14:02:05.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tWithin Us AI \u2014 AgentAngel v0 Samples (25 rows)\n\t\n\nGenerated: 2026-01-06\nThis zip contains a v0 sample pack for AgentAngel (Agentic Coding 2026), adhering to your master-scholar requ... |
dataset | 11-47/Ancient_Civilaztion_Historian_25k | null | dataset:11-47/Ancient_Civilaztion_Historian_25k | 2026-09-26T22:04:54.345761+00:00 | https://huggingface.co/datasets/11-47/Ancient_Civilaztion_Historian_25k | 11-47 | 2026-02-05T12:11:22.000Z | 2026-02-05T12:18:34.000Z | 17feb1323c1c54563f71a7056df3db332b5a2d69 | null | [
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"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 14 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"698488ea562f7ab2f4244f86","author":"11-47","createdAt":"2026-02-05T12:11:22.000Z","downloads":14,"gated":false,"id":"11-47/Ancient_Civilaztion_Historian_25k","lastModified":"2026-02-05T12:18:34.000Z","likes":1,"private":false,"sha":"17feb1323c1c54563f71a7056df3db332b5a2d69","tags":["size_categories:10K<n<100K",... |
dataset | 11-47/Ancient_Civilization_25k | null | dataset:11-47/Ancient_Civilization_25k | 2026-09-26T22:04:13.933657+00:00 | https://huggingface.co/datasets/11-47/Ancient_Civilization_25k | 11-47 | 2026-01-03T17:05:24.000Z | 2026-02-05T06:47:33.000Z | 5af1affde6f3e662f62a9cb84aa5b101f23a252a | AncientCivilizations_Archon_25k (Master Scholar)
Developer / Brand: Within Us AI
AncientCivilizations_Archon_25k is a 25,000-example dataset designed to train master-scholar reasoning across ancient history, archaeology, and epigraphy—emphasizing methods, uncertainty, and research-grade interpretation rather than tr... | [
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] | null | null | null | null | 42 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"69594c545f70da4f06b22605","author":"11-47","createdAt":"2026-01-03T17:05:24.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tAncientCivilizations_Archon_25k (Master Scholar)\n\t\n\nDeveloper / Brand: Within Us AI\nAncientCivilizations_Archon_25k is a 25,000-example dataset designed to train master-scholar reasoning... |
dataset | 11-47/Ancient_MaaterMind_MOE_1k | null | dataset:11-47/Ancient_MaaterMind_MOE_1k | 2026-09-26T22:04:54.060947+00:00 | https://huggingface.co/datasets/11-47/Ancient_MaaterMind_MOE_1k | 11-47 | 2026-02-05T09:36:24.000Z | 2026-02-05T09:36:52.000Z | f221be4e9dd5f7bfb458a22fb45384ffe8eb2b55 | null | [
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] | null | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"698464981d823e0cdd94e256","author":"11-47","createdAt":"2026-02-05T09:36:24.000Z","downloads":11,"gated":false,"id":"11-47/Ancient_MaaterMind_MOE_1k","lastModified":"2026-02-05T09:36:52.000Z","likes":0,"private":false,"sha":"f221be4e9dd5f7bfb458a22fb45384ffe8eb2b55","tags":["size_categories:1K<n<10K","format:js... |
dataset | 11-47/Ancient_MasterMind_10k | null | dataset:11-47/Ancient_MasterMind_10k | 2026-09-26T22:04:54.060947+00:00 | https://huggingface.co/datasets/11-47/Ancient_MasterMind_10k | 11-47 | 2026-02-05T09:21:46.000Z | 2026-02-05T09:22:09.000Z | 5b95345ce0991aab495535061e25370f3285a2e0 | null | [
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] | null | null | null | null | 13 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6984612a036f5289e47e5f40","author":"11-47","createdAt":"2026-02-05T09:21:46.000Z","downloads":13,"gated":false,"id":"11-47/Ancient_MasterMind_10k","lastModified":"2026-02-05T09:22:09.000Z","likes":1,"private":false,"sha":"5b95345ce0991aab495535061e25370f3285a2e0","tags":["size_categories:10K<n<100K","format:jso... |
dataset | 11-47/Ancient_MasterMind_1k | null | dataset:11-47/Ancient_MasterMind_1k | 2026-09-26T22:04:54.060947+00:00 | https://huggingface.co/datasets/11-47/Ancient_MasterMind_1k | 11-47 | 2026-02-05T09:17:36.000Z | 2026-02-05T09:19:07.000Z | 7971e36e881fac0aab94a9b0b96125086f0e7e12 | null | [
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] | null | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"698460301d823e0cdd94a882","author":"11-47","createdAt":"2026-02-05T09:17:36.000Z","downloads":10,"gated":false,"id":"11-47/Ancient_MasterMind_1k","lastModified":"2026-02-05T09:19:07.000Z","likes":0,"private":false,"sha":"7971e36e881fac0aab94a9b0b96125086f0e7e12","tags":["size_categories:1K<n<10K","format:json",... |
dataset | 11-47/Ancient_MasterMind_3k | null | dataset:11-47/Ancient_MasterMind_3k | 2026-09-26T22:04:54.060947+00:00 | https://huggingface.co/datasets/11-47/Ancient_MasterMind_3k | 11-47 | 2026-02-05T09:20:06.000Z | 2026-02-05T09:20:37.000Z | 0879f43c0fe350db6cc3150842ae8c1113c7b771 | null | [
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] | null | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"698460c653f0d439a52be5bd","author":"11-47","createdAt":"2026-02-05T09:20:06.000Z","downloads":10,"gated":false,"id":"11-47/Ancient_MasterMind_3k","lastModified":"2026-02-05T09:20:37.000Z","likes":0,"private":false,"sha":"0879f43c0fe350db6cc3150842ae8c1113c7b771","tags":["size_categories:1K<n<10K","format:json",... |
dataset | 11-47/Ancient_MasterMind_COT_1k | null | dataset:11-47/Ancient_MasterMind_COT_1k | 2026-09-26T22:04:54.060947+00:00 | https://huggingface.co/datasets/11-47/Ancient_MasterMind_COT_1k | 11-47 | 2026-02-05T09:32:06.000Z | 2026-02-05T09:32:24.000Z | 507e5496b800bef16d1022815ba6379d6cc9f4e4 | null | [
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"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69846396bb7c1f67ebf55369","author":"11-47","createdAt":"2026-02-05T09:32:06.000Z","downloads":4,"gated":false,"id":"11-47/Ancient_MasterMind_COT_1k","lastModified":"2026-02-05T09:32:24.000Z","likes":0,"private":false,"sha":"507e5496b800bef16d1022815ba6379d6cc9f4e4","tags":["size_categories:1K<n<10K","format:jso... |
dataset | 11-47/Aspire | null | dataset:11-47/Aspire | 2026-09-26T22:20:36.138485+00:00 | https://huggingface.co/datasets/11-47/Aspire | 11-47 | 2026-03-29T15:17:26.000Z | 2026-03-29T15:20:30.000Z | f4137beacd6d555cee01334d8b3bbe5e680b42a4 | null | [
"format:json",
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"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 1 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"69c94286aec5787d6bf6a94a","author":"11-47","createdAt":"2026-03-29T15:17:26.000Z","downloads":1,"gated":"manual","id":"11-47/Aspire","lastModified":"2026-03-29T15:20:30.000Z","likes":0,"private":false,"sha":"f4137beacd6d555cee01334d8b3bbe5e680b42a4","tags":["size_categories:1K<n<10K","format:json","modality:tex... |
dataset | 11-47/Aspire_Genesis_Lexicon_49k | null | dataset:11-47/Aspire_Genesis_Lexicon_49k | 2026-09-26T22:21:04.671848+00:00 | https://huggingface.co/datasets/11-47/Aspire_Genesis_Lexicon_49k | 11-47 | 2026-05-27T11:29:44.000Z | 2026-05-27T11:29:49.000Z | a71a152ec5e13b695e2adab0f3223a4413e667cf | Aspire_Genesis_Lexicon
Hyper-advanced semantic expansion and vocabulary
intelligence dataset for continued pretraining
of Aspire.
Focus Areas
recursive abstraction
symbolic reasoning
semantic synthesis
advanced vocabulary
contextual intelligence
philosophical grounding
systems thinking
long-context c... | [
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] | null | null | null | null | 20 | 1 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6a16d5a886aa2f49c4253407","author":"11-47","createdAt":"2026-05-27T11:29:44.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tAspire_Genesis_Lexicon\n\t\n\nHyper-advanced semantic expansion and vocabulary\nintelligence dataset for continued pretraining\nof Aspire.\n\n\t\n\t\t\n\t\n\t\n\t\tFocus Areas\n\t\n\n\nrecurs... |
dataset | 11-47/Aspire_Memory_256K | null | dataset:11-47/Aspire_Memory_256K | 2026-09-26T22:21:04.671848+00:00 | https://huggingface.co/datasets/11-47/Aspire_Memory_256K | 11-47 | 2026-05-27T10:33:06.000Z | 2026-05-27T10:33:13.000Z | fcf6caa7b760af4e739a1a6604b443290f82a349 | Aspire_Memory_256K
High-quality long-context memory dataset designed for:
delayed recall
recursive memory
conversational persistence
identity continuity
long-context retrieval
memory-aware autonomous systems
Dataset Statistics
Total Rows: 10000
Long Context Examples: Yes
Delayed Recall Tasks: Yes
D... | [
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] | null | null | null | null | 9 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6a16c862c6cf5ce24a508a93","author":"11-47","createdAt":"2026-05-27T10:33:06.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tAspire_Memory_256K\n\t\n\nHigh-quality long-context memory dataset designed for:\n\ndelayed recall\nrecursive memory\nconversational persistence\nidentity continuity\nlong-context retrieval\n... |
dataset | 11-47/Einstein_Telsa_Inventor_100k | null | dataset:11-47/Einstein_Telsa_Inventor_100k | 2026-09-26T22:04:04.314783+00:00 | https://huggingface.co/datasets/11-47/Einstein_Telsa_Inventor_100k | 11-47 | 2025-12-29T03:50:13.000Z | 2025-12-29T05:46:53.000Z | 15996047cbc334eda6735904d43688fc4f6670f9 | null | [
"region:us"
] | null | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6951fa75fa9ffcd2afd341a6","author":"11-47","createdAt":"2025-12-29T03:50:13.000Z","downloads":19,"gated":false,"id":"11-47/Einstein_Telsa_Inventor_100k","lastModified":"2025-12-29T05:46:53.000Z","likes":0,"private":false,"sha":"15996047cbc334eda6735904d43688fc4f6670f9","tags":["region:us"]} |
dataset | 11-47/Einstein_Telsa_Inventor_MOE_100k | null | dataset:11-47/Einstein_Telsa_Inventor_MOE_100k | 2026-09-26T22:04:04.621041+00:00 | https://huggingface.co/datasets/11-47/Einstein_Telsa_Inventor_MOE_100k | 11-47 | 2025-12-29T04:39:28.000Z | 2025-12-29T05:54:03.000Z | 32db4c8eb11415b58ada9f0d02befaba85b0bbe6 | null | [
"region:us"
] | null | null | null | null | 23 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695206001c2c18ff2116301f","author":"11-47","createdAt":"2025-12-29T04:39:28.000Z","downloads":23,"gated":false,"id":"11-47/Einstein_Telsa_Inventor_MOE_100k","lastModified":"2025-12-29T05:54:03.000Z","likes":0,"private":false,"sha":"32db4c8eb11415b58ada9f0d02befaba85b0bbe6","tags":["region:us"]} |
dataset | 11-47/Einstein_Telsa_Inventor_Thinking-_100k | null | dataset:11-47/Einstein_Telsa_Inventor_Thinking-_100k | 2026-09-26T22:04:04.621041+00:00 | https://huggingface.co/datasets/11-47/Einstein_Telsa_Inventor_Thinking-_100k | 11-47 | 2025-12-29T04:36:45.000Z | 2025-12-29T05:51:22.000Z | 8d553b4ace79112c9e5fada4964697e5e4eeba8b | null | [
"region:us"
] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6952055d61707ccb93e2ca1c","author":"11-47","createdAt":"2025-12-29T04:36:45.000Z","downloads":9,"gated":false,"id":"11-47/Einstein_Telsa_Inventor_Thinking-_100k","lastModified":"2025-12-29T05:51:22.000Z","likes":0,"private":false,"sha":"8d553b4ace79112c9e5fada4964697e5e4eeba8b","tags":["region:us"]} |
dataset | 11-47/Einstein_Telsa_Inventor_rationalize_100k | null | dataset:11-47/Einstein_Telsa_Inventor_rationalize_100k | 2026-09-26T22:04:04.621041+00:00 | https://huggingface.co/datasets/11-47/Einstein_Telsa_Inventor_rationalize_100k | 11-47 | 2025-12-29T04:29:11.000Z | 2025-12-29T05:48:19.000Z | 1b359a0f2f7a236ae0c592920db9362469b29582 | null | [
"region:us"
] | null | null | null | null | 16 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69520397785ac06cb108e3dc","author":"11-47","createdAt":"2025-12-29T04:29:11.000Z","downloads":16,"gated":false,"id":"11-47/Einstein_Telsa_Inventor_rationalize_100k","lastModified":"2025-12-29T05:48:19.000Z","likes":0,"private":false,"sha":"1b359a0f2f7a236ae0c592920db9362469b29582","tags":["region:us"]} |
dataset | 11-47/Einstein_Telsa_Inventor_reasoning_100k | null | dataset:11-47/Einstein_Telsa_Inventor_reasoning_100k | 2026-09-26T22:04:04.621041+00:00 | https://huggingface.co/datasets/11-47/Einstein_Telsa_Inventor_reasoning_100k | 11-47 | 2025-12-29T04:34:26.000Z | 2025-12-29T05:50:05.000Z | de9b4fb6e44c81a27cb37dce01e5540e9055a085 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695204d29d961349bbdd394b","author":"11-47","createdAt":"2025-12-29T04:34:26.000Z","downloads":2,"gated":false,"id":"11-47/Einstein_Telsa_Inventor_reasoning_100k","lastModified":"2025-12-29T05:50:05.000Z","likes":0,"private":false,"sha":"de9b4fb6e44c81a27cb37dce01e5540e9055a085","tags":["region:us"]} |
dataset | 11-47/Fable-5-Cursor-Traces | null | dataset:11-47/Fable-5-Cursor-Traces | 2026-09-26T22:21:48.556391+00:00 | https://huggingface.co/datasets/11-47/Fable-5-Cursor-Traces | 11-47 | 2026-08-27T01:06:13.000Z | 2026-08-27T01:06:13.000Z | 91084569c8716aa6ce188a20d8edaa6e99cd3a67 | Fable 5 Cursor Traces
244 Fable 5 Cursor agent sessions for training & research.
This dataset has 244 Cursor sessions with Fable 5 at High/xHigh/Max effort levels for distillation.
[!IMPORTANT]
This dataset is compatible with Teich! Use it directly in your Teich training pipeline.
[!WAR... | [
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"size_categories:n<1K"
] | apache-2.0 | null | null | null | 60 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a8f8d85b00c4b5bcb207201","author":"11-47","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"train.jsonl","split":"train"}]}],"language":["en"],"license":"apache-2.0","pretty_name":"Claude Fable 5 Cursor Traces","size_categories":["n<1K"]},"createdAt":"2026-08-27T01:06:13.000Z","description... |
dataset | 11-47/Fable-5.1-Max-Reasoning-10k | null | dataset:11-47/Fable-5.1-Max-Reasoning-10k | 2026-09-26T22:22:02.278763+00:00 | https://huggingface.co/datasets/11-47/Fable-5.1-Max-Reasoning-10k | 11-47 | 2026-09-25T04:10:13.000Z | 2026-09-25T04:10:13.000Z | c3b6521a0f6fe142aae9b1546a46e0287ba289ac | Dataset Description
This dataset contains 10,000 agentic coding and reasoning multi-turn high-quality traces generated by the new Fable 5.1 model using max reasoning effort.
It holds almost 500,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains.
It has also been deduplicated... | [
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"coding",
"distill",
"distillation",
"fable 5",
"fable 5.1",
"fable class",
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"mythos",
"mythos 5"... | apache-2.0 | null | null | null | 28 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab5f4259259ef172cf395d6","author":"11-47","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"5k/train.jsonl","split":"lite"},{"path":"10k/train.jsonl","split":"full"}]}],"language":["en"],"license":"apache-2.0","pretty_name":"The First And Best Fable 5.1 Reasoning Data","size_categories":["... |
dataset | 11-47/Fable-5.1-Max-Reasoning-5K | null | dataset:11-47/Fable-5.1-Max-Reasoning-5K | 2026-09-26T22:21:58.560739+00:00 | https://huggingface.co/datasets/11-47/Fable-5.1-Max-Reasoning-5K | 11-47 | 2026-09-16T15:40:59.000Z | 2026-09-16T15:40:59.000Z | c98bf169630dd49d663d8b2001f28d8737b616be | Dataset Description
This dataset contains 5,000 coding and reasoning traces generated by the new Fable 5.1 model using max reasoning effort.
It holds almost 150,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains.
It has also been deduplicated and filtered to remove low-quali... | [
"CoT",
"SFT",
"SWE",
"code",
"coding",
"distill",
"distillation",
"fable 5",
"fable 5.1",
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"language:en",
"library:datasets",
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"mythos",
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"... | apache-2.0 | null | null | null | 97 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aaab88b2b0d4de36cadd112","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"The First Fable 5.1 Reasoning Data","size_categories":["1K<n<10K"],"tags":["fable 5.1","coding","synthetic","thinking","think","reason","reasoning","distill","distillation","SFT","CoT","code","SWE","pr... |
dataset | 11-47/GOT_Defense_1 | null | dataset:11-47/GOT_Defense_1 | 2026-09-26T22:21:27.528055+00:00 | https://huggingface.co/datasets/11-47/GOT_Defense_1 | 11-47 | 2026-07-14T09:46:54.000Z | 2026-07-14T09:58:55.000Z | b82b85add7e36408eee51fc8cf978ce55813d3e4 | GOT_Defense_1
Professional pretraining corpus for defensive security LLMs. Rebuilt 2026-07-14.
Records: 186,104 | Avg length: 377 chars | Dedup SHA256 | Split 95/5
This dataset merges 12 Kaggle sources into one high-quality text field optimized for causal LM pretraining:
jeffborschowa/malwarebazaar-threat-intelligen... | [
"cve",
"cybersecurity",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
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"license:mit",
"malware",
"modality:text",
"phishing",
"pretraining",
"ransomware",
"region:us",
"size_categories:100K<n<1M",
"task_cat... | mit | null | null | null | 70 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a56058e15379eab89fa4f83","author":"11-47","cardData":{"license":"mit","pretty_name":"GOT_Defense_1 - Unified Cyber Defense LLM Corpus","size_categories":["100K<n<1M"],"tags":["cybersecurity","malware","ransomware","phishing","cve","threat-intelligence","pretraining"],"task_categories":["text-generation","text-... |
dataset | 11-47/GOT_Defense_2 | null | dataset:11-47/GOT_Defense_2 | 2026-09-26T22:21:27.528055+00:00 | https://huggingface.co/datasets/11-47/GOT_Defense_2 | 11-47 | 2026-07-14T10:48:21.000Z | 2026-07-14T11:11:28.000Z | 673b91e41be3fcbfcab1f3e9cf0f2199c8b870d5 | GOT_Defense_2 Full - Per-file fallback
Rebuilt 2026-07-14 with HF_HUB_DISABLE_XET=1, hf_xet removed, per-file skip on 403.
Sources Fenrir 99k + Bouquets CVE (CVE-2021..2025, skips broken XET file) + WNT3D (keeps 6 files, skips massive_training if 403)
Records 244,761 avg 1746 split 95/5
Usage load_dataset("11-47/GOT... | [
"cve",
"cybersecurity",
"fenrir",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit",
"modality:text",
"red-team",
"region:us",
"size_categories:100K<n<1M"
] | mit | null | null | null | 42 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5613f50beae73afa847e53","author":"11-47","cardData":{"license":"mit","pretty_name":"GOT_Defense_2","tags":["cybersecurity","fenrir","cve","red-team"]},"createdAt":"2026-07-14T10:48:21.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGOT_Defense_2 Full - Per-file fallback\n\t\n\nRebuilt 2026-07-14 with HF_HUB_DISA... |
dataset | 11-47/GOT_HQ_Merged_75k | null | dataset:11-47/GOT_HQ_Merged_75k | 2026-09-26T22:21:06.743938+00:00 | https://huggingface.co/datasets/11-47/GOT_HQ_Merged_75k | 11-47 | 2026-05-30T00:06:53.000Z | 2026-05-30T08:44:16.000Z | e517b986af84a1624ba8460f90b5e6ee7e5dd0ce | HQ-Merged-Dataset
A high-quality merged dataset that samples 5,000 examples from each of 16 diverse sources
every time it is run, normalises them into a unified schema, and pushes the result to Hugging Face.
Quick Stats
Metric
Value
Total examples
75,000
Number of sources
16
Sampling s... | [
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"library:mlcroissant",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 39 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1a2a1da233d2ba7da0897c","author":"11-47","cardData":{"dataset_info":{"description":"HQ-Merged-Dataset: A high-quality merged dataset combining 5,000 sampled examples from 16 diverse sources spanning code, reasoning, instruction, math, and web text domains. Fresh samples are pulled on each run.\n","language":[... |
dataset | 11-47/Genesis_FineTune_Core_25k | null | dataset:11-47/Genesis_FineTune_Core_25k | 2026-09-26T22:04:13.933657+00:00 | https://huggingface.co/datasets/11-47/Genesis_FineTune_Core_25k | 11-47 | 2026-01-03T18:01:47.000Z | 2026-01-03T18:10:38.000Z | 964dfc41a15a74cac306ced0e5ab01ecaca20e1e | Genesis_FineTune_Core_25k (Master Scholar)
Developer / Brand: Within Us AI
A Genesis-style, end-to-end advanced fine-tuning starter pack: five datasets (5k each) packaged together to train an assistant’s behavioral core.
What this pack trains
Instruction-following (multi-turn) — constraints, formatti... | [
"region:us"
] | null | null | null | null | 9 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959598b10f23fd510ccdd94","author":"11-47","createdAt":"2026-01-03T18:01:47.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGenesis_FineTune_Core_25k (Master Scholar)\n\t\n\nDeveloper / Brand: Within Us AI\nA Genesis-style, end-to-end advanced fine-tuning starter pack: five datasets (5k each) packaged together to ... |
dataset | 11-47/Ghost-Writer-GOD | null | dataset:11-47/Ghost-Writer-GOD | 2026-09-26T22:03:27.863362+00:00 | https://huggingface.co/datasets/11-47/Ghost-Writer-GOD | 11-47 | 2025-11-16T05:14:13.000Z | 2025-11-16T06:34:55.000Z | 8e390121d86affeb5cb27f99f9c5a200e480d8aa | null | [
"region:us"
] | null | null | null | null | 80 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69195da57b63899ef33a560f","author":"11-47","createdAt":"2025-11-16T05:14:13.000Z","downloads":80,"gated":false,"id":"11-47/Ghost-Writer-GOD","lastModified":"2025-11-16T06:34:55.000Z","likes":1,"private":false,"sha":"8e390121d86affeb5cb27f99f9c5a200e480d8aa","tags":["region:us"]} |
dataset | 11-47/Got_Agentic_90K | null | dataset:11-47/Got_Agentic_90K | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/11-47/Got_Agentic_90K | 11-47 | 2026-05-12T06:13:22.000Z | 2026-05-12T06:23:23.000Z | fa6c7aa866f02b0ef0ffb9cd87296cbeac3f8a27 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 15 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02c5026f8e9b0b42d7d65c","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-12T06:13:22.000Z","downloads":15,"gated":false,"id":"11-47/Got_Agentic_90K","lastModified":"2026-05-12T06:23:23.000Z","likes":2,"private":false,"sha":"fa6c7aa866f02b0ef0ffb9cd87296cbeac3f8a27","tags":["license:ap... |
dataset | 11-47/Got_Agentic_AI_5k | null | dataset:11-47/Got_Agentic_AI_5k | 2026-09-26T22:04:13.933657+00:00 | https://huggingface.co/datasets/11-47/Got_Agentic_AI_5k | 11-47 | 2026-01-03T08:30:08.000Z | 2026-01-03T09:06:38.000Z | 9afb083bbac0ad9dd9abf7b27b50c2a8f936d755 | Got_Agentic_AI_5k
A 5,000-example dataset to train LLMs into production-grade agentic assistants (“Angelic Agents”): high-agency, tool-aware, test-driven, and safety-first.
This dataset focuses on the kinds of tasks real engineering teams and major AI developers care about:
Diff-first coding patches and tests
Plann... | [
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] | null | null | null | null | 92 | 5 | false | false | [] | base_model | [] | [] | [] | {"_id":"6958d390871e3a888d85142b","author":"11-47","cardData":{"configs":[{"config_name":"chatml","data_files":[{"path":"Data/train.jsonl","split":"train"},{"path":"Data/validation.jsonl","split":"validation"}]},{"config_name":"instruct","data_files":[{"path":"Data/train_instruct.jsonl","split":"train"},{"path":"Data/v... |
dataset | 11-47/Got_Code_1M | null | dataset:11-47/Got_Code_1M | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/11-47/Got_Code_1M | 11-47 | 2026-05-12T04:59:52.000Z | 2026-05-12T05:33:04.000Z | e7ff82460a0ceb936c48e5b7f79162fc637803fc | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 33 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02b3c8aba9eabe8c62093a","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-12T04:59:52.000Z","downloads":33,"gated":false,"id":"11-47/Got_Code_1M","lastModified":"2026-05-12T05:33:04.000Z","likes":1,"private":false,"sha":"e7ff82460a0ceb936c48e5b7f79162fc637803fc","tags":["license:apache... |
dataset | 11-47/Got_Conversation_200k | null | dataset:11-47/Got_Conversation_200k | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/11-47/Got_Conversation_200k | 11-47 | 2026-05-12T05:59:34.000Z | 2026-05-12T06:11:30.000Z | bab4df70c39b93b30dbd254b3f6ef6e471e8da61 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 28 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02c1c6e7e2933b5d1b850c","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-12T05:59:34.000Z","downloads":28,"gated":false,"id":"11-47/Got_Conversation_200k","lastModified":"2026-05-12T06:11:30.000Z","likes":0,"private":false,"sha":"bab4df70c39b93b30dbd254b3f6ef6e471e8da61","tags":["lice... |
dataset | 11-47/Got_Math_500K | null | dataset:11-47/Got_Math_500K | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/11-47/Got_Math_500K | 11-47 | 2026-05-12T05:38:28.000Z | 2026-05-12T05:48:38.000Z | 8093e67d4e6c8f4ca82cbacca35045eed58b728f | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 30 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02bcd4ca97760dd5c743b6","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-12T05:38:28.000Z","downloads":30,"gated":false,"id":"11-47/Got_Math_500K","lastModified":"2026-05-12T05:48:38.000Z","likes":1,"private":false,"sha":"8093e67d4e6c8f4ca82cbacca35045eed58b728f","tags":["license:apac... |
dataset | 11-47/Got_Science_28k | null | dataset:11-47/Got_Science_28k | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/11-47/Got_Science_28k | 11-47 | 2026-05-12T06:28:51.000Z | 2026-05-12T06:29:29.000Z | 2026d42b895a100b8e75f5c620bde636cfe9f38f | null | [
"format:json",
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"license:apache-2.0",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 11 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02c8a38012db987b634798","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-12T06:28:51.000Z","downloads":11,"gated":false,"id":"11-47/Got_Science_28k","lastModified":"2026-05-12T06:29:29.000Z","likes":1,"private":false,"sha":"2026d42b895a100b8e75f5c620bde636cfe9f38f","tags":["license:ap... |
dataset | 11-47/Nikola_Tesla_mindstate_25k_dataset | null | dataset:11-47/Nikola_Tesla_mindstate_25k_dataset | 2026-09-26T22:21:02.645438+00:00 | https://huggingface.co/datasets/11-47/Nikola_Tesla_mindstate_25k_dataset | 11-47 | 2026-05-25T00:45:59.000Z | 2026-05-25T00:46:34.000Z | fe157e178e8d07864b90d9cba0c93c01926b9608 | Nikola Tesla Mindset & Innovation Dataset
Dataset Description
A high-quality synthetic dataset of 25,000 unique training examples designed to fine-tune any LLM to embody Nikola Tesla's mindset, thinking patterns, and innovative methodology. Each example is a three-turn conversation (system prompt, use... | [
"fine-tuning",
"format:json",
"innovation",
"inventor-mindset",
"language:en",
"library:datasets",
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"library:polars",
"license:mit",
"modality:text",
"nikola-tesla",
"persona",
"region:us",
"roleplaying",
"size_categories:10K<n<100K",
"syntheti... | mit | null | null | null | 12 | 1 | false | false | [] | base_model | [
"tesla-mindset-dataset"
] | [] | [] | {"_id":"6a139bc737f564db4d814365","author":"11-47","cardData":{"datasets":["tesla-mindset-dataset"],"language":"en","license":"mit","pretty_name":"Nikola Tesla Mindset & Innovation Dataset","size_categories":["10K<n<100K"],"tags":["nikola-tesla","inventor-mindset","innovation","fine-tuning","synthetic-dataset","rolepla... |
dataset | 11-47/Organized_PreTrain_1k_Context | null | dataset:11-47/Organized_PreTrain_1k_Context | 2026-09-26T22:21:44.828523+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_1k_Context | 11-47 | 2026-08-19T00:02:40.000Z | 2026-08-19T05:40:52.000Z | 1f6c580c0ff5a87e41e2c1d7a93c039003c2c0e4 | #Plans11/Organized_PreTrain_1k_Context
A 1096-token hard-filtered, deduped, pretrain-ready merge of 11 Organized PreTrain datasets.
Built from Plans11 organized collections. Everything >1096 tokens was 100% trashed, never truncated. Global SHA256 dedup across all sources. Uploaded add-only (shard index computed from li... | [
"1k-context",
"code",
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"instruct",
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"license:mit",
"modality:text",
"pretraining",
"reasoning",
"region:us",
"size_categories:1M<n<10M",
"task_categories:text-generation",
"thi... | mit | null | null | null | 104 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a84f2a0f3128cbb947ff262","author":"11-47","cardData":{"language":["en"],"license":"mit","size_categories":["1M<n<10M"],"tags":["pretraining","1k-context","reasoning","code","instruct","think"],"task_categories":["text-generation"]},"createdAt":"2026-08-19T00:02:40.000Z","description":"#Plans11/Organized_PreTra... |
dataset | 11-47/Organized_PreTrain_Agent_202k | null | dataset:11-47/Organized_PreTrain_Agent_202k | 2026-09-26T22:21:48.065686+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Agent_202k | 11-47 | 2026-08-26T00:57:58.000Z | 2026-08-26T00:57:59.000Z | fe3d4444936a0fa73a8f45116ddee23ea677f37e | null | [
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] | null | null | null | null | 102 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a8e3a163bf36e24912fd710","author":"11-47","cardData":{"configs":[{"config_name":"Chat","data_files":[{"path":"Chat/GPT_5_6_luna_reasoning_102881x-*","split":"GPT_5_6_luna_reasoning_102881x"},{"path":"Chat/Cybersecurity_Dataset_Fenrir_v2_1-*","split":"Cybersecurity_Dataset_Fenrir_v2_1"},{"path":"Chat/DeepSeek_v... |
dataset | 11-47/Organized_PreTrain_Agent_287k | null | dataset:11-47/Organized_PreTrain_Agent_287k | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Agent_287k | 11-47 | 2026-08-08T07:52:46.000Z | 2026-08-08T08:38:37.000Z | 4756f3a4c6283c554b2067267baa6702db64dbdb | null | [
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"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 107 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76e04eca799caffc8d8a63","author":"11-47","createdAt":"2026-08-08T07:52:46.000Z","downloads":107,"gated":false,"id":"11-47/Organized_PreTrain_Agent_287k","lastModified":"2026-08-08T08:38:37.000Z","likes":0,"private":false,"sha":"4756f3a4c6283c554b2067267baa6702db64dbdb","tags":["size_categories:100K<n<1M","for... |
dataset | 11-47/Organized_PreTrain_Coding_239k | null | dataset:11-47/Organized_PreTrain_Coding_239k | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Coding_239k | 11-47 | 2026-08-08T06:44:10.000Z | 2026-08-08T07:15:25.000Z | 8761b56c65ccad4793eb33ff1820f92bfae68048 | null | [
"format:parquet",
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] | null | null | null | null | 228 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76d03ab4a20e9e9b1120d6","author":"11-47","createdAt":"2026-08-08T06:44:10.000Z","downloads":228,"gated":false,"id":"11-47/Organized_PreTrain_Coding_239k","lastModified":"2026-08-08T07:15:25.000Z","likes":0,"private":false,"sha":"8761b56c65ccad4793eb33ff1820f92bfae68048","tags":["format:parquet","modality:text... |
dataset | 11-47/Organized_PreTrain_Cyber_Security_640k | null | dataset:11-47/Organized_PreTrain_Cyber_Security_640k | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Cyber_Security_640k | 11-47 | 2026-08-08T07:23:46.000Z | 2026-08-08T07:37:41.000Z | dbaf8b1e62b5455b9250d22698cda18c9ca4392f | null | [
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] | null | null | null | null | 127 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76d98236add25d1ebe6d3a","author":"11-47","createdAt":"2026-08-08T07:23:46.000Z","downloads":127,"gated":false,"id":"11-47/Organized_PreTrain_Cyber_Security_640k","lastModified":"2026-08-08T07:37:41.000Z","likes":0,"private":false,"sha":"dbaf8b1e62b5455b9250d22698cda18c9ca4392f","tags":["size_categories:100K<n... |
dataset | 11-47/Organized_PreTrain_Frontier_Traces_150k | null | dataset:11-47/Organized_PreTrain_Frontier_Traces_150k | 2026-09-26T22:21:39.186301+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Frontier_Traces_150k | 11-47 | 2026-08-08T04:05:39.000Z | 2026-08-08T04:20:47.000Z | e6e383346d2b250012addba662f4e9db353aa2fb | null | [
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] | null | null | null | null | 108 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76ab13c673d6fdb1531831","author":"11-47","createdAt":"2026-08-08T04:05:39.000Z","downloads":108,"gated":false,"id":"11-47/Organized_PreTrain_Frontier_Traces_150k","lastModified":"2026-08-08T04:20:47.000Z","likes":0,"private":false,"sha":"e6e383346d2b250012addba662f4e9db353aa2fb","tags":["size_categories:100K<... |
dataset | 11-47/Organized_PreTrain_Frontier_Traces_33k | null | dataset:11-47/Organized_PreTrain_Frontier_Traces_33k | 2026-09-26T22:21:39.186301+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Frontier_Traces_33k | 11-47 | 2026-08-08T04:26:38.000Z | 2026-08-08T04:34:55.000Z | dbe5384c29d5fe304b00bbe5abb45c59fabd0f6d | null | [
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] | null | null | null | null | 32 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76affed99d8420652a7b6d","author":"11-47","createdAt":"2026-08-08T04:26:38.000Z","downloads":32,"gated":false,"id":"11-47/Organized_PreTrain_Frontier_Traces_33k","lastModified":"2026-08-08T04:34:55.000Z","likes":0,"private":false,"sha":"dbe5384c29d5fe304b00bbe5abb45c59fabd0f6d","tags":["size_categories:10K<n<1... |
dataset | 11-47/Organized_PreTrain_Frontier_Traces_34K | null | dataset:11-47/Organized_PreTrain_Frontier_Traces_34K | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Frontier_Traces_34K | 11-47 | 2026-08-08T05:06:09.000Z | 2026-08-08T05:09:30.000Z | 67b49d43e638fa5f7615f8346b44501618c1e3c5 | null | [
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] | null | null | null | null | 43 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76b941be02c2153fbab252","author":"11-47","createdAt":"2026-08-08T05:06:09.000Z","downloads":43,"gated":false,"id":"11-47/Organized_PreTrain_Frontier_Traces_34K","lastModified":"2026-08-08T05:09:30.000Z","likes":0,"private":false,"sha":"67b49d43e638fa5f7615f8346b44501618c1e3c5","tags":["size_categories:10K<n<1... |
dataset | 11-47/Organized_PreTrain_Frontier_Traces_47k | null | dataset:11-47/Organized_PreTrain_Frontier_Traces_47k | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Frontier_Traces_47k | 11-47 | 2026-08-08T05:52:56.000Z | 2026-08-08T06:08:28.000Z | 9bde17c8b120e1ad7bf4d2e2f391f300c0ad6276 | null | [
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"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 28 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76c438e49aa10c780ad8d7","author":"11-47","createdAt":"2026-08-08T05:52:56.000Z","downloads":28,"gated":false,"id":"11-47/Organized_PreTrain_Frontier_Traces_47k","lastModified":"2026-08-08T06:08:28.000Z","likes":0,"private":false,"sha":"9bde17c8b120e1ad7bf4d2e2f391f300c0ad6276","tags":["size_categories:10K<n<1... |
dataset | 11-47/Organized_PreTrain_Instruct_366k | null | dataset:11-47/Organized_PreTrain_Instruct_366k | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Instruct_366k | 11-47 | 2026-08-08T14:04:33.000Z | 2026-08-08T14:14:03.000Z | ca77fefb9c2c51995e5941670b0555caf2f97bc6 | null | [
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] | null | null | null | null | 162 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a7737712401cdd54a94be75","author":"11-47","createdAt":"2026-08-08T14:04:33.000Z","downloads":162,"gated":false,"id":"11-47/Organized_PreTrain_Instruct_366k","lastModified":"2026-08-08T14:14:03.000Z","likes":0,"private":false,"sha":"ca77fefb9c2c51995e5941670b0555caf2f97bc6","tags":["size_categories:100K<n<1M","... |
dataset | 11-47/Organized_PreTrain_Math_156K | null | dataset:11-47/Organized_PreTrain_Math_156K | 2026-09-26T22:21:45.142449+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Math_156K | 11-47 | 2026-08-19T18:18:31.000Z | 2026-08-19T18:19:57.000Z | 329b864a7bf715bac0c85792cc1d9e064b479963 | null | [
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] | null | null | null | null | 32 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a85f37764e516d3b8ac9649","author":"11-47","cardData":{"configs":[{"config_name":"commonsense","data_files":[{"path":"commonsense/train-*","split":"train"}]},{"config_name":"instruct","data_files":[{"path":"instruct/train-*","split":"train"}]},{"config_name":"math","data_files":[{"path":"math/train-*","split":"... |
dataset | 11-47/Organized_PreTrain_Persona_GOD_Seed_52K | null | dataset:11-47/Organized_PreTrain_Persona_GOD_Seed_52K | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_Persona_GOD_Seed_52K | 11-47 | 2026-08-08T06:13:22.000Z | 2026-08-08T06:18:26.000Z | 112ca3a9d7bf7741dcd259c8eca114a206ce7f00 | null | [
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"size_categories:10K<n<100K"
] | null | null | null | null | 3 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6a76c90247857875dfb7988d","author":"11-47","createdAt":"2026-08-08T06:13:22.000Z","downloads":3,"gated":"manual","id":"11-47/Organized_PreTrain_Persona_GOD_Seed_52K","lastModified":"2026-08-08T06:18:26.000Z","likes":0,"private":false,"sha":"112ca3a9d7bf7741dcd259c8eca114a206ce7f00","tags":["size_categories:10K<... |
dataset | 11-47/Organized_PreTrain_WIUAI_1.3M | null | dataset:11-47/Organized_PreTrain_WIUAI_1.3M | 2026-09-26T22:21:44.828523+00:00 | https://huggingface.co/datasets/11-47/Organized_PreTrain_WIUAI_1.3M | 11-47 | 2026-08-18T23:02:57.000Z | 2026-08-18T23:31:02.000Z | a17909d2b436beb9b629313aa2d15da53e8247c5 | ITLL/Organized_PreTrain_WIUAI
A clean, deduped, 4096-context pretrain-ready merge of 31 distillation datasets from 11-47 and WithinUsAI.
All examples >4096 tokens were 100% trashed, never truncated. Duplicates were removed globally across all sources. Outputs are grouped by category for curriculum pretraining.
Tota... | [
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"pretraining",
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"size_categories:1M<n<10M",
"task_categories:text-gen... | mit | null | null | null | 57 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a84e4a186c177b8c2f37ace","author":"11-47","cardData":{"language":["en"],"license":"mit","size_categories":["1M<n<10M"],"tags":["pretraining","reasoning","chain-of-thought","code","instruct","tool-calling","chat","think"],"task_categories":["text-generation"]},"createdAt":"2026-08-18T23:02:57.000Z","description... |
dataset | 11-47/Organized_Pretrain_HR_213K | null | dataset:11-47/Organized_Pretrain_HR_213K | 2026-09-26T22:21:39.777935+00:00 | https://huggingface.co/datasets/11-47/Organized_Pretrain_HR_213K | 11-47 | 2026-08-09T08:00:04.000Z | 2026-08-09T08:13:07.000Z | 5faefdc1579a7309ef9dcd7f2a9c5baf85e09965 | null | [
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] | null | null | null | null | 131 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a783384f5efaad3bbde4812","author":"11-47","createdAt":"2026-08-09T08:00:04.000Z","downloads":131,"gated":false,"id":"11-47/Organized_Pretrain_HR_213K","lastModified":"2026-08-09T08:13:07.000Z","likes":0,"private":false,"sha":"5faefdc1579a7309ef9dcd7f2a9c5baf85e09965","tags":["size_categories:100K<n<1M","format... |
dataset | 11-47/Royal_Ghost_Coder_500k | null | dataset:11-47/Royal_Ghost_Coder_500k | 2026-09-26T22:04:09.924734+00:00 | https://huggingface.co/datasets/11-47/Royal_Ghost_Coder_500k | 11-47 | 2026-01-01T02:49:14.000Z | 2026-05-07T19:25:15.000Z | 30281941deb77da7f6ab593d92d5bfea7d9ce833 | Royal_Ghost_Coder_500k
A 500,000-row synthetic instruction dataset focused on:
self-writing code generation
self-debugging via patches + tests
self-morphing refactors (typed modernization)
self code enhancements (optimization)
self-evolving agentic planning (offline-first, safety gated)
Format
Plain... | [
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"code",
"debugging",
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"license:apache-2.0",
"offline",
"optimization",
"refactoring",
"region:us",
"safety",
"size_categories:100K<n<1M"
] | apache-2.0 | null | null | null | 164 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6955e0aa27b097534394c56c","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Royal Ghost Coder 500k","size_categories":["100K<n<1M"],"tags":["code","debugging","refactoring","optimization","agentic","offline","safety"]},"createdAt":"2026-01-01T02:49:14.000Z","description":"\n\t... |
dataset | 11-47/Self_Q_and_A_dataset | null | dataset:11-47/Self_Q_and_A_dataset | 2026-09-26T22:03:52.477665+00:00 | https://huggingface.co/datasets/11-47/Self_Q_and_A_dataset | 11-47 | 2025-12-17T23:34:04.000Z | 2025-12-18T19:48:00.000Z | 940e27b344ef73ba4ad4c23f7a58d8a97804c389 | null | [
"region:us"
] | null | null | null | null | 3 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69433dec229c8f33b6beb79a","author":"11-47","createdAt":"2025-12-17T23:34:04.000Z","downloads":3,"gated":false,"id":"11-47/Self_Q_and_A_dataset","lastModified":"2025-12-18T19:48:00.000Z","likes":1,"private":false,"sha":"940e27b344ef73ba4ad4c23f7a58d8a97804c389","tags":["region:us"]} |
dataset | 11-47/TRM_Genesis_RealWorld_15k | null | dataset:11-47/TRM_Genesis_RealWorld_15k | 2026-09-26T22:04:14.155096+00:00 | https://huggingface.co/datasets/11-47/TRM_Genesis_RealWorld_15k | 11-47 | 2026-01-04T00:08:43.000Z | 2026-01-04T00:09:22.000Z | d542a77b911f15cf563c419b9d72b812799d7d72 | TRM_Genesis_RealWorld_15k
Developer / Brand: Within Us AI
A TRM (Tiny Recursive Model) dataset upgraded for real-world truth:
Every example is fact-based Q&A
Each answer includes fact_sources (citations) and a verification tag
Prompts remain TRM-native: short, constraint-aware, and optimized for tiny contexts
... | [
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"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 7 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959af8ba50a975be8bf6708","author":"11-47","createdAt":"2026-01-04T00:08:43.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTRM_Genesis_RealWorld_15k\n\t\n\nDeveloper / Brand: Within Us AI\nA TRM (Tiny Recursive Model) dataset upgraded for real-world truth:\n\nEvery example is fact-based Q&A\nEach answer includes ... |
dataset | 11-47/TRM_Genesis_RealWorld_1k | null | dataset:11-47/TRM_Genesis_RealWorld_1k | 2026-09-26T22:04:14.155096+00:00 | https://huggingface.co/datasets/11-47/TRM_Genesis_RealWorld_1k | 11-47 | 2026-01-03T23:59:53.000Z | 2026-01-04T00:00:58.000Z | db7779f7afc369057b3c51bcd46184d34077e4c7 | TRM_Genesis_RealWorld_1k
Developer / Brand: Within Us AI
A TRM (Tiny Recursive Model) dataset upgraded for real-world truth:
Every example is fact-based Q&A
Each answer includes fact_sources (citations) and a verification tag
Prompts remain TRM-native: short, constraint-aware, and optimized for tiny contexts
... | [
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"size_categories:1K<n<10K"
] | null | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959ad79a50a975be8bf5675","author":"11-47","createdAt":"2026-01-03T23:59:53.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTRM_Genesis_RealWorld_1k\n\t\n\nDeveloper / Brand: Within Us AI\nA TRM (Tiny Recursive Model) dataset upgraded for real-world truth:\n\nEvery example is fact-based Q&A\nEach answer includes f... |
dataset | 11-47/TRM_Genesis_RealWorld_40k | null | dataset:11-47/TRM_Genesis_RealWorld_40k | 2026-09-26T22:04:14.155096+00:00 | https://huggingface.co/datasets/11-47/TRM_Genesis_RealWorld_40k | 11-47 | 2026-01-04T00:09:57.000Z | 2026-01-04T00:10:29.000Z | 53b88e59b9e3543234efbaa9aea70315dd972570 | TRM_Genesis_RealWorld_40k
Developer / Brand: Within Us AI
A TRM (Tiny Recursive Model) dataset upgraded for real-world truth:
Every example is fact-based Q&A
Each answer includes fact_sources (citations) and a verification tag
Prompts remain TRM-native: short, constraint-aware, and optimized for tiny contexts
... | [
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"size_categories:10K<n<100K"
] | null | null | null | null | 25 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959afd5738208fc951e52da","author":"11-47","createdAt":"2026-01-04T00:09:57.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTRM_Genesis_RealWorld_40k\n\t\n\nDeveloper / Brand: Within Us AI\nA TRM (Tiny Recursive Model) dataset upgraded for real-world truth:\n\nEvery example is fact-based Q&A\nEach answer includes ... |
dataset | 11-47/TRM_Genesis_RealWorld_5k | null | dataset:11-47/TRM_Genesis_RealWorld_5k | 2026-09-26T22:04:14.155096+00:00 | https://huggingface.co/datasets/11-47/TRM_Genesis_RealWorld_5k | 11-47 | 2026-01-04T00:02:20.000Z | 2026-01-04T00:02:42.000Z | 33bc1a3cd3b024cb8018424d98f409330a0b4af3 | TRM_Genesis_RealWorld_5k
Developer / Brand: Within Us AI
A TRM (Tiny Recursive Model) dataset upgraded for real-world truth:
Every example is fact-based Q&A
Each answer includes fact_sources (citations) and a verification tag
Prompts remain TRM-native: short, constraint-aware, and optimized for tiny contexts
... | [
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"size_categories:1K<n<10K"
] | null | null | null | null | 8 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959ae0c5f70da4f06b9e3b3","author":"11-47","createdAt":"2026-01-04T00:02:20.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTRM_Genesis_RealWorld_5k\n\t\n\nDeveloper / Brand: Within Us AI\nA TRM (Tiny Recursive Model) dataset upgraded for real-world truth:\n\nEvery example is fact-based Q&A\nEach answer includes f... |
dataset | 11-47/The_Prophet_Tarot_Zodiac_50K | null | dataset:11-47/The_Prophet_Tarot_Zodiac_50K | 2026-09-26T22:21:22.954348+00:00 | https://huggingface.co/datasets/11-47/The_Prophet_Tarot_Zodiac_50K | 11-47 | 2026-07-01T20:01:02.000Z | 2026-07-01T20:21:14.000Z | 1981fbb33cf58c39240334aed6cbf0222db2950b | The_Prophet_Tarot_Zodiac_50K Dataset
A High-Quality, Master-Level Dataset for Training LLMs in Tarot, Zodiac, and Prophetic Intuition
📜 Overview
The_Prophet_Tarot_Zodiac_50K is a 50,000-example dataset designed to train large language models (LLMs) to embody the mindset, reasoning, and intuitive dep... | [
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] | null | null | null | null | 48 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a4571fe6ac8c491c6d94dac","author":"11-47","createdAt":"2026-07-01T20:01:02.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tThe_Prophet_Tarot_Zodiac_50K Dataset\n\t\n\nA High-Quality, Master-Level Dataset for Training LLMs in Tarot, Zodiac, and Prophetic Intuition\n\n\n\t\n\t\t\n\t\n\t\n\t\t\ud83d\udcdc Overview\n... |
dataset | 11-47/The_Prophet_Tarot_Zodiac_5K | null | dataset:11-47/The_Prophet_Tarot_Zodiac_5K | 2026-09-26T22:21:22.954348+00:00 | https://huggingface.co/datasets/11-47/The_Prophet_Tarot_Zodiac_5K | 11-47 | 2026-07-01T19:02:13.000Z | 2026-07-01T19:04:04.000Z | 4b1557d6a2188bf2cbf0bbf4cfd0e2876810741b | The_Prophet_Tarot_Zodiac_5K
High-quality 5K+ fact-based JSONL dataset for fine-tuning LLMs as master tarot/zodiac prophets.
Features:
Professional CoT (thought, reasoning) with intuitive prophet mindset.
Based on real tarot (Major Arcana meanings, Rider-Waite-Smith history) and zodiac knowledge.
Varied, non-repetit... | [
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] | null | null | null | null | 40 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a45643514bd53eae108bfcd","author":"11-47","createdAt":"2026-07-01T19:02:13.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tThe_Prophet_Tarot_Zodiac_5K\n\t\n\nHigh-quality 5K+ fact-based JSONL dataset for fine-tuning LLMs as master tarot/zodiac prophets.\nFeatures:\n\nProfessional CoT (thought, reasoning) with int... |
dataset | 11-47/The_Prophet_Tarot_Zodiac_5K_seed | null | dataset:11-47/The_Prophet_Tarot_Zodiac_5K_seed | 2026-09-26T22:21:22.954348+00:00 | https://huggingface.co/datasets/11-47/The_Prophet_Tarot_Zodiac_5K_seed | 11-47 | 2026-07-01T21:09:55.000Z | 2026-07-01T21:37:19.000Z | b06c261b421fefdb3b1000be4dd15ee1951abb83 | The_Prophet_Tarot_Zodiac_5K
Overview
The_Prophet_Tarot_Zodiac_5K is a 5,000-sample synthetic instruction dataset designed to fine-tune language models for tarot interpretation and zodiac-based astrological reasoning.
The dataset teaches structured symbolic interpretation, combining:
Tarot archetypes ... | [
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] | null | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a45822323c07eac6eedc83b","author":"11-47","createdAt":"2026-07-01T21:09:55.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tThe_Prophet_Tarot_Zodiac_5K\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tOverview\n\t\n\nThe_Prophet_Tarot_Zodiac_5K is a 5,000-sample synthetic instruction dataset designed to fine-tune language models fo... |
dataset | 11-47/With_In_Memory_250k | null | dataset:11-47/With_In_Memory_250k | 2026-09-26T22:04:04.621041+00:00 | https://huggingface.co/datasets/11-47/With_In_Memory_250k | 11-47 | 2025-12-29T07:49:19.000Z | 2025-12-29T08:18:17.000Z | bb9ac27c14c89b174ff57a9809d06b10d81cbecf | WithIn Us AI — MemoryGenesis (God Level) 250K
Developer: WithIn Us AI
MemoryGenesis is a 250,000-example dataset designed to train LLMs to behave like memory-first agents:
capture new information at runtime
store durable and ephemeral memory safely (TTL)
retrieve and cite relevant memories (RAG-style behavior)
upda... | [
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"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 26 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6952327fa8d391e3fbba531d","author":"11-47","createdAt":"2025-12-29T07:49:19.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tWithIn Us AI \u2014 MemoryGenesis (God Level) 250K\n\t\n\nDeveloper: WithIn Us AI\nMemoryGenesis is a 250,000-example dataset designed to train LLMs to behave like memory-first agents:\n\ncap... |
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