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 | 0xPitss/Vana | null | dataset:0xPitss/Vana | 2026-09-26T22:03:47.451350+00:00 | https://huggingface.co/datasets/0xPitss/Vana | 0xPitss | 2025-12-11T12:29:00.000Z | 2025-12-11T12:29:00.000Z | 78334293a13f77c29ee38f3b92635d1b2cbf2981 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693ab90c247ec0e22a2030b8","author":"0xPitss","cardData":{"license":"apache-2.0"},"createdAt":"2025-12-11T12:29:00.000Z","downloads":4,"gated":false,"id":"0xPitss/Vana","lastModified":"2025-12-11T12:29:00.000Z","likes":0,"private":false,"sha":"78334293a13f77c29ee38f3b92635d1b2cbf2981","tags":["license:apache-2.0... |
dataset | 0xPotatocheese/PriceOrical | null | dataset:0xPotatocheese/PriceOrical | 2026-09-26T22:21:20.941844+00:00 | https://huggingface.co/datasets/0xPotatocheese/PriceOrical | 0xPotatocheese | 2026-06-26T23:30:23.000Z | 2026-06-27T00:50:51.000Z | 4ae0dffe3b561b497b83c1b0c12b68b5e569ee31 | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3f0b8fd6f7a065b851601e","author":"0xPotatocheese","createdAt":"2026-06-26T23:30:23.000Z","downloads":3,"gated":false,"id":"0xPotatocheese/PriceOrical","lastModified":"2026-06-27T00:50:51.000Z","likes":0,"private":false,"sha":"4ae0dffe3b561b497b83c1b0c12b68b5e569ee31","tags":["region:us"]} |
dataset | 0xRafie/asean-geolocation | null | dataset:0xRafie/asean-geolocation | 2026-09-26T22:21:02.388087+00:00 | https://huggingface.co/datasets/0xRafie/asean-geolocation | 0xRafie | 2026-05-24T18:32:41.000Z | 2026-05-25T08:10:10.000Z | 482b72fe337f689d7eaf74d2b971707e61f172e8 | ASEAN Geolocation
ASEAN Geolocation is an image dataset for country-level geolocation across the 11 ASEAN countries. It is designed for image classification, visual geolocation, and explainable geolocation research.
The dataset contains 4850 images organized by country label. Images are provided at their original as... | [
"asean",
"country-classification",
"format:imagefolder",
"geolocation",
"library:datasets",
"library:mlcroissant",
"license:other",
"modality:image",
"modality:text",
"region:us",
"size_categories:1K<n<10K",
"task_categories:image-classification"
] | other | null | null | null | 55 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a134449bf07261a98e581d4","author":"0xRafie","cardData":{"license":"other","pretty_name":"ASEAN Geolocation","size_categories":["1K<n<10K"],"tags":["geolocation","asean","country-classification"],"task_categories":["image-classification"]},"createdAt":"2026-05-24T18:32:41.000Z","description":"\n\t\n\t\t\n\t\n\t... |
dataset | 0xRafie/geosean11k | null | dataset:0xRafie/geosean11k | 2026-09-26T22:21:54.972307+00:00 | https://huggingface.co/datasets/0xRafie/geosean11k | 0xRafie | 2026-09-09T07:38:36.000Z | 2026-09-09T07:55:56.000Z | ede94f74d7f1dcec79350e65ebaf1c395b9b7336 | GeoSEAN11K
GeoSEAN11K is a route-balanced street-level image dataset for country-level geolocation across the 11 ASEAN countries. Every image is labelled both by country and by whether readable scene text is present, so text-based and scene-based geolocation evidence can be studied separately rather than mixed into ... | [
"asean",
"country-classification",
"format:imagefolder",
"geolocation",
"library:datasets",
"library:mlcroissant",
"license:other",
"modality:image",
"region:us",
"scene-text",
"size_categories:10K<n<100K",
"street-view",
"task_categories:image-classification"
] | other | null | null | null | 194 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa10cfcddd72a4e5ff66b3b","author":"0xRafie","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"images/**","split":"train"}]}],"license":"other","pretty_name":"GeoSEAN11K","size_categories":["10K<n<100K"],"tags":["geolocation","asean","country-classification","scene-text","street-view"],"tas... |
dataset | 0xRafie/indonesian-gambling-multimodal-dataset | null | dataset:0xRafie/indonesian-gambling-multimodal-dataset | 2026-09-26T22:20:58.060315+00:00 | https://huggingface.co/datasets/0xRafie/indonesian-gambling-multimodal-dataset | 0xRafie | 2026-05-15T13:02:12.000Z | 2026-05-15T13:32:04.000Z | 93f00571002bf1bf0dfea67fef68db2a03f0f58a | Indonesian Online Gambling Promotion Multimodal Dataset
This dataset is intended for machine learning research on detecting and filtering online gambling promotions on Indonesian social media. It is a research artifact for content moderation and harmful content detection, not a gambling website or promotional resour... | [
"content-moderation",
"format:imagefolder",
"harmful-content-detection",
"indonesian-social-media",
"language:id",
"library:datasets",
"library:mlcroissant",
"license:cc-by-4.0",
"modality:image",
"multimodal",
"online-gambling-detection",
"region:us",
"size_categories:1K<n<10K",
"task_cat... | cc-by-4.0 | null | null | null | 81 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0719549e57e98dc87a3d86","author":"0xRafie","cardData":{"language":["id"],"license":"cc-by-4.0","pretty_name":"Indonesian Gambling Multimodal Dataset","size_categories":["1K<n<10K"],"tags":["multimodal","content-moderation","online-gambling-detection","indonesian-social-media","harmful-content-detection"],"tas... |
dataset | 0xReez/pertama | null | dataset:0xReez/pertama | 2026-09-26T22:21:21.153473+00:00 | https://huggingface.co/datasets/0xReez/pertama | 0xReez | 2026-06-27T10:57:55.000Z | 2026-06-30T07:09:29.000Z | 4db26994495130db6a01c4856ad6a24ae8abc63a | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3facb3529730dd54f298c0","author":"0xReez","createdAt":"2026-06-27T10:57:55.000Z","downloads":3,"gated":false,"id":"0xReez/pertama","lastModified":"2026-06-30T07:09:29.000Z","likes":0,"private":false,"sha":"4db26994495130db6a01c4856ad6a24ae8abc63a","tags":["region:us"]} |
dataset | 0xRyanxx/agent-consensus-rollouts-robust-scalar | null | dataset:0xRyanxx/agent-consensus-rollouts-robust-scalar | 2026-09-26T22:20:52.612462+00:00 | https://huggingface.co/datasets/0xRyanxx/agent-consensus-rollouts-robust-scalar | 0xRyanxx | 2026-05-04T13:57:29.000Z | 2026-05-04T14:49:38.000Z | dc51c8c85cfe32a26120d7dc3e027d533df8abc5 | null | [
"region:us"
] | null | null | null | null | 94 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f8a5c9f39584a912e02f86","author":"0xRyanxx","createdAt":"2026-05-04T13:57:29.000Z","downloads":94,"gated":false,"id":"0xRyanxx/agent-consensus-rollouts-robust-scalar","lastModified":"2026-05-04T14:49:38.000Z","likes":0,"private":false,"sha":"dc51c8c85cfe32a26120d7dc3e027d533df8abc5","tags":["region:us"]} |
dataset | 0xScratch/Ethereum_QA | null | dataset:0xScratch/Ethereum_QA | 2026-09-26T21:59:40.968753+00:00 | https://huggingface.co/datasets/0xScratch/Ethereum_QA | 0xScratch | 2025-02-04T20:06:57.000Z | 2025-02-04T20:07:41.000Z | 07530da89926d72b3b7c09b4c5e7b2404264faf2 | null | [
"format:webdataset",
"library:datasets",
"library:mlcroissant",
"library:webdataset",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a273616fcef75b8fad17fd","author":"0xScratch","createdAt":"2025-02-04T20:06:57.000Z","downloads":3,"gated":false,"id":"0xScratch/Ethereum_QA","lastModified":"2025-02-04T20:07:41.000Z","likes":0,"private":false,"sha":"07530da89926d72b3b7c09b4c5e7b2404264faf2","tags":["size_categories:n<1K","format:webdataset","... |
dataset | 0xScratch/paris_chunks_demo | null | dataset:0xScratch/paris_chunks_demo | 2026-09-26T21:59:40.591323+00:00 | https://huggingface.co/datasets/0xScratch/paris_chunks_demo | 0xScratch | 2025-02-02T11:59:34.000Z | 2025-02-02T12:02:30.000Z | 5a7c89ca95dbefa5eb2d97f581d2f7825c9301c2 | null | [
"format:webdataset",
"library:datasets",
"library:mlcroissant",
"library:webdataset",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"679f5e262657d47fb790405b","author":"0xScratch","createdAt":"2025-02-02T11:59:34.000Z","downloads":3,"gated":false,"id":"0xScratch/paris_chunks_demo","lastModified":"2025-02-02T12:02:30.000Z","likes":0,"private":false,"sha":"5a7c89ca95dbefa5eb2d97f581d2f7825c9301c2","tags":["size_categories:n<1K","format:webdata... |
dataset | 0xScratch/qa-rust | null | dataset:0xScratch/qa-rust | 2026-09-26T21:59:40.591323+00:00 | https://huggingface.co/datasets/0xScratch/qa-rust | 0xScratch | 2025-02-03T15:10:15.000Z | 2025-02-04T19:03:52.000Z | ce9c9ee2ccf0603cbb3cc1e72612258ca6d14dd8 | null | [
"format:webdataset",
"library:datasets",
"library:mlcroissant",
"library:webdataset",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 7 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a0dc579cfd47dad8cf7757","author":"0xScratch","createdAt":"2025-02-03T15:10:15.000Z","downloads":7,"gated":false,"id":"0xScratch/qa-rust","lastModified":"2025-02-04T19:03:52.000Z","likes":1,"private":false,"sha":"ce9c9ee2ccf0603cbb3cc1e72612258ca6d14dd8","tags":["size_categories:n<1K","format:webdataset","moda... |
dataset | 0xSero/deepseek-v4-flash-reap-observations-v1 | null | dataset:0xSero/deepseek-v4-flash-reap-observations-v1 | 2026-09-26T22:20:46.986140+00:00 | https://huggingface.co/datasets/0xSero/deepseek-v4-flash-reap-observations-v1 | 0xSero | 2026-04-25T18:29:58.000Z | 2026-09-01T12:15:39.000Z | c3289d16abf9a82d16ff89242a0d6de22cbff2a8 | deepseek-v4-flash-reap-observations-v1
Observations/calibration artifacts collected from the deepseek-v4-flash lineage during REAP/quantization runs.
Provenance
Dataset provenance: contains model prompts, traces, and/or generated outputs collected during REAP/quantization runs. Output content follows ... | [
"license-unresolved",
"region:us",
"working-data"
] | null | null | null | null | 154 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ed0826f01782c5675e1d10","author":"0xSero","cardData":{"tags":["license-unresolved","working-data"]},"createdAt":"2026-04-25T18:29:58.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tdeepseek-v4-flash-reap-observations-v1\n\t\n\nObservations/calibration artifacts collected from the deepseek-v4-flash lineage during... |
dataset | 0xSero/gemma-moe-reap | null | dataset:0xSero/gemma-moe-reap | 2026-09-26T22:20:38.111301+00:00 | https://huggingface.co/datasets/0xSero/gemma-moe-reap | 0xSero | 2026-04-04T14:14:06.000Z | 2026-09-01T11:17:13.000Z | 5452def42dc0a7a9770a6dd500a38d92feab4ddb | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
gemma-moe-reap
Dataset repository for 0xSero/gemma-moe-reap.
Dataset provenance: contains model prompts, traces, and/or generated outputs collected during REAP/quant... | [
"arxiv:2510.13999",
"license-unresolved",
"region:us"
] | null | null | null | null | 40 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69d11caebbf83b1a4b95c1f7","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-04-04T14:14:06.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tg... |
dataset | 0xSero/glm-5.2-nf3-hybrid-terminal-bench-2.1-traces | null | dataset:0xSero/glm-5.2-nf3-hybrid-terminal-bench-2.1-traces | 2026-09-26T22:21:32.454086+00:00 | https://huggingface.co/datasets/0xSero/glm-5.2-nf3-hybrid-terminal-bench-2.1-traces | 0xSero | 2026-07-20T16:07:02.000Z | 2026-09-01T12:14:50.000Z | 6020a41cb40ca06761d96250d80afef96d086e2a | GLM-5.2 (MXFP8-NVFP4-NF3-Hybrid) — Terminal-Bench 2.1 agent traces
Full agent traces from running Terminal-Bench 2.1 (89 tasks) against a self-hosted
GLM-5.2 in a MXFP8-NVFP4-NF3-Hybrid quantization, using the Terminus-2 agent
via Harbor.
Configuration
Model
GLM-5.2 · MXFP8-NVFP4-NF3-Hybr... | [
"agent-traces",
"benchmark",
"glm",
"license:mit",
"llm-agents",
"region:us",
"task_categories:other",
"terminal-bench"
] | mit | null | null | null | 182 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5e47a6a5261a5e863f925a","author":"0xSero","cardData":{"license":"mit","pretty_name":"GLM-5.2 NF3-Hybrid \u2014 Terminal-Bench 2.1 Traces","tags":["terminal-bench","agent-traces","llm-agents","benchmark","glm"],"task_categories":["other"]},"createdAt":"2026-07-20T16:07:02.000Z","description":"\n\t\n\t\t\n\t\n\... |
dataset | 0xSero/glm-5.3-reap-fidelity-study | null | dataset:0xSero/glm-5.3-reap-fidelity-study | 2026-09-26T22:21:53.381366+00:00 | https://huggingface.co/datasets/0xSero/glm-5.3-reap-fidelity-study | 0xSero | 2026-09-05T17:03:38.000Z | 2026-09-08T08:34:26.000Z | ed76f87450bf9c05f5c3cd9c7cbb43588aa42f7f | GLM-5.3 REAP Fidelity Study
The evidence behind the GLM-5.3 REAP model series: how each pruned cut was measured, and why it prunes the way it does.
What we measured, and how
Every number here is KL divergence vs the full BF16 model — a token-by-token “how differently do these two models predict the ne... | [
"arxiv:2510.13999",
"evaluation",
"expert-pruning",
"glm",
"kl-divergence",
"language:en",
"license:apache-2.0",
"mixture-of-experts",
"reap",
"region:us"
] | apache-2.0 | null | null | null | 346 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a9c4b6ad46be24ed75f26de","author":"0xSero","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"GLM-5.3 REAP Fidelity Study","tags":["reap","mixture-of-experts","glm","expert-pruning","evaluation","kl-divergence"]},"createdAt":"2026-09-05T17:03:38.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGLM... |
dataset | 0xSero/glm-calibration-pile640-v2 | null | dataset:0xSero/glm-calibration-pile640-v2 | 2026-09-26T22:04:13.933657+00:00 | https://huggingface.co/datasets/0xSero/glm-calibration-pile640-v2 | 0xSero | 2026-01-03T18:50:28.000Z | 2026-09-01T11:17:16.000Z | 5b2b3c50bf68e3a17df64745e3162e73654daddd | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm-calibration-pile640-v2
Dataset repository for 0xSero/glm-calibration-pile640-v2.
Dataset provenance: contains model prompts, traces, and/or generated outputs col... | [
"arxiv:2510.13999",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 49 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695964f41b567335f9bac223","author":"0xSero","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":26942852,"download_size":11085137,"features":[{"dtype":"string","name":"text"},{"dtype":"string","name":"instruction"},{"dtype":"str... |
dataset | 0xSero/glm-vision-sft-mix | null | dataset:0xSero/glm-vision-sft-mix | 2026-09-26T22:21:29.820930+00:00 | https://huggingface.co/datasets/0xSero/glm-vision-sft-mix | 0xSero | 2026-07-18T08:28:18.000Z | 2026-07-18T08:28:27.000Z | e2f087e934200bb31eed64ff6e4145ae70bd9eb0 | glm-vision-sft-mix
Merged SFT mix used to train fable-glm-vision — a 44.8M vision projector that gives GLM-5.2 image understanding with a frozen backbone, following the recipe by Harry Partridge (original post).
151,439 train / 5,354 val examples. Each row: {"image": <filename>, "conversations": [user, assistant], "... | [
"computer-use",
"format:json",
"glm",
"gui-grounding",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:100K<n<1M",
"task_categories:image-to-text",
"vision"
] | apache-2.0 | null | null | null | 61 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5b39228ead24685b5373ae","author":"0xSero","cardData":{"license":"apache-2.0","tags":["computer-use","gui-grounding","vision","glm"],"task_categories":["image-to-text"]},"createdAt":"2026-07-18T08:28:18.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tglm-vision-sft-mix\n\t\n\nMerged SFT mix used to train fable-gl... |
dataset | 0xSero/glm47-calibration-1360 | null | dataset:0xSero/glm47-calibration-1360 | 2026-09-26T22:04:32.843227+00:00 | https://huggingface.co/datasets/0xSero/glm47-calibration-1360 | 0xSero | 2026-01-14T13:40:26.000Z | 2026-09-01T11:17:18.000Z | 7d0bc9c9c53089bf6f4cffe4cf03ee441c00b092 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
GLM-4.7 REAP Calibration Dataset (1360 samples)
Mixed calibration dataset for GLM-4.7-REAP-218B W4A16 quantization.
Composition
Code generation: 700 ... | [
"arxiv:2510.13999",
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 43 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69679cca7b115954f1c7b1de","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-01-14T13:40:26.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tG... |
dataset | 0xSero/glm47-reap-calibration-code-func | null | dataset:0xSero/glm47-reap-calibration-code-func | 2026-09-26T22:04:12.106436+00:00 | https://huggingface.co/datasets/0xSero/glm47-reap-calibration-code-func | 0xSero | 2026-01-02T08:09:55.000Z | 2026-09-01T11:17:19.000Z | 758750aa9f23ae00de33a2f0a70c773e37acfd64 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm47-reap-calibration-code-func
Dataset repository for 0xSero/glm47-reap-calibration-code-func.
Dataset provenance: contains model prompts, traces, and/or generated... | [
"arxiv:2510.13999",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 54 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69577d537ad23ada455cb773","author":"0xSero","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":2034486,"download_size":994500,"features":[{"dtype":"string","name":"text"}],"splits":[{"name":"train","num_bytes":2034486,"num_exam... |
dataset | 0xSero/glm47-reap-calibration-mix | null | dataset:0xSero/glm47-reap-calibration-mix | 2026-09-26T22:04:10.358442+00:00 | https://huggingface.co/datasets/0xSero/glm47-reap-calibration-mix | 0xSero | 2026-01-01T20:54:48.000Z | 2026-09-01T11:17:21.000Z | dd4f9ff3c9638a45beac641d63cfae16ac0c3e38 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm47-reap-calibration-mix
Dataset repository for 0xSero/glm47-reap-calibration-mix.
Dataset provenance: contains model prompts, traces, and/or generated outputs col... | [
"arxiv:2510.13999",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 34 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6956df18607c867c5cfec07f","author":"0xSero","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1677776,"download_size":478567,"features":[{"dtype":"string","name":"instruction"},{"dtype":"string","name":"output"}],"splits":[{"n... |
dataset | 0xSero/glm47-reap-calibration-v2 | null | dataset:0xSero/glm47-reap-calibration-v2 | 2026-09-26T22:04:12.106436+00:00 | https://huggingface.co/datasets/0xSero/glm47-reap-calibration-v2 | 0xSero | 2026-01-02T09:06:01.000Z | 2026-09-01T11:17:22.000Z | df4826bd389a6c6e02a502d769861c076c4416cb | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm47-reap-calibration-v2
Dataset repository for 0xSero/glm47-reap-calibration-v2.
Dataset provenance: contains model prompts, traces, and/or generated outputs colle... | [
"arxiv:2510.13999",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 73 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"69578a79af1ebac7b85c71d2","author":"0xSero","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":11876852,"download_size":4765074,"features":[{"dtype":"string","name":"instruction"},{"dtype":"string","name":"output"}],"splits":[{... |
dataset | 0xSero/glm47-reap-calibration-v3 | null | dataset:0xSero/glm47-reap-calibration-v3 | 2026-09-26T22:04:12.106436+00:00 | https://huggingface.co/datasets/0xSero/glm47-reap-calibration-v3 | 0xSero | 2026-01-02T09:55:03.000Z | 2026-09-01T11:17:24.000Z | ffa1dc415c67bf9d8cec7e5d3f2e3044d6f7584c | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm47-reap-calibration-v3
Dataset repository for 0xSero/glm47-reap-calibration-v3.
Dataset provenance: contains model prompts, traces, and/or generated outputs colle... | [
"arxiv:2510.13999",
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license-unresolved",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 39 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695795f76c58703e78c2e483","author":"0xSero","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":3440130,"download_size":1484868,"features":[{"dtype":"string","name":"instruction"},{"dtype":"string","name":"output"}],"splits":[{"... |
dataset | 0xSero/glm5-layerwise-reap-observations | null | dataset:0xSero/glm5-layerwise-reap-observations | 2026-09-26T22:20:36.927440+00:00 | https://huggingface.co/datasets/0xSero/glm5-layerwise-reap-observations | 0xSero | 2026-03-31T17:23:44.000Z | 2026-09-01T11:17:25.000Z | 7bb3f3d665aaed13e6eec639f6dd0caf0725710f | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
glm5-layerwise-reap-observations
Dataset repository for 0xSero/glm5-layerwise-reap-observations.
Dataset provenance: contains model prompts, traces, and/or generated... | [
"arxiv:2510.13999",
"license-unresolved",
"region:us"
] | null | null | null | null | 73 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69cc0320b96ed3a9308b1773","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-03-31T17:23:44.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tg... |
dataset | 0xSero/glm5-reap50-tunecomp-sft | null | dataset:0xSero/glm5-reap50-tunecomp-sft | 2026-09-26T22:20:35.868502+00:00 | https://huggingface.co/datasets/0xSero/glm5-reap50-tunecomp-sft | 0xSero | 2026-03-28T12:37:13.000Z | 2026-09-01T12:14:52.000Z | e1b73d68ea366ed475da9a32d3f96b7e80f2356c | glm5-reap50-tunecomp-sft
Supervised chat finetuning dataset used for the GLM-5 REAP-50 TuneComp LoRA recovery run.
Contents
training_data.jsonl: 754 chat samples
manifest.json: row counts and provenance
Schema
Each JSONL row contains:
id
category
messages
prompt
response
content_leng... | [
"chat",
"distillation",
"format:json",
"glm-5",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:other",
"modality:tabular",
"modality:text",
"moe",
"region:us",
"sft",
"size_categories:n<1K"
] | other | null | null | null | 31 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c7cb79e0240f3bf127f915","author":"0xSero","cardData":{"language":["en"],"license":"other","size_categories":["1K<n<10K"],"tags":["glm-5","sft","distillation","moe","chat"]},"createdAt":"2026-03-28T12:37:13.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tglm5-reap50-tunecomp-sft\n\t\n\nSupervised chat finetuning ... |
dataset | 0xSero/kimi-k2.6-reap-observations-v1 | null | dataset:0xSero/kimi-k2.6-reap-observations-v1 | 2026-09-26T22:20:45.106583+00:00 | https://huggingface.co/datasets/0xSero/kimi-k2.6-reap-observations-v1 | 0xSero | 2026-04-21T16:10:39.000Z | 2026-04-28T12:55:28.000Z | 88f8625e3b4f6190640d043eef6ffa3822383853 | Kimi-K2.6 REAP Observation Data (v1)
Per-layer expert routing + activation statistics captured from moonshotai/Kimi-K2.6
under the REAP layerwise observer (PR #17, CerebrasResearch/reap).
What this is
This dataset contains the observer output of a full REAP calibration pass on
Kimi-K2.6. It is not a p... | [
"compressed-tensors",
"deepseek-v3",
"expert-pruning",
"int4",
"kimi-k2",
"language:en",
"license:apache-2.0",
"mixture-of-experts",
"moe",
"reap",
"region:us",
"size_categories:10M<n<100M",
"task_categories:text-generation"
] | apache-2.0 | null | null | null | 745 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e7a17f5269fc6683127ac9","author":"0xSero","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Kimi-K2.6 REAP Observation Data (v1)","size_categories":["10M<n<100M"],"tags":["mixture-of-experts","moe","reap","expert-pruning","kimi-k2","deepseek-v3","int4","compressed-tensors"],"task_categories"... |
dataset | 0xSero/kimi-k2.6-reap-observations-v4 | null | dataset:0xSero/kimi-k2.6-reap-observations-v4 | 2026-09-26T22:20:52.910972+00:00 | https://huggingface.co/datasets/0xSero/kimi-k2.6-reap-observations-v4 | 0xSero | 2026-05-04T22:58:46.000Z | 2026-09-01T12:15:41.000Z | ce04367dc90f3f3cee9e3b5a2d0f29396a5fb665 | kimi-k2.6-reap-observations-v4
Observations/calibration artifacts collected from the kimi-k2.6 lineage during REAP/quantization runs.
Provenance
Dataset provenance: contains model prompts, traces, and/or generated outputs collected during REAP/quantization runs. Output content follows the upstream mod... | [
"license-unresolved",
"region:us",
"working-data"
] | null | null | null | null | 75 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f924a685dfaa1c858412d3","author":"0xSero","cardData":{"tags":["license-unresolved","working-data"]},"createdAt":"2026-05-04T22:58:46.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tkimi-k2.6-reap-observations-v4\n\t\n\nObservations/calibration artifacts collected from the kimi-k2.6 lineage during REAP/quantizati... |
dataset | 0xSero/local-ai-registry | null | dataset:0xSero/local-ai-registry | 2026-09-26T22:21:49.124021+00:00 | https://huggingface.co/datasets/0xSero/local-ai-registry | 0xSero | 2026-08-28T08:42:41.000Z | 2026-08-28T08:42:45.000Z | f9a7582706edf0484153d5a120030f1ab7d45b1e | Local AI Registry
A source-backed graph of local AI hardware, models, model artifacts, launch recipes, regional prices, raw speed sweeps, and comparable benchmark summaries.
The GitHub monorepo is the source of truth. This dataset repository is a generated, versioned mirror for discovery, analysis, and use with the ... | [
"benchmarks",
"format:json",
"gpu",
"hardware",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit",
"llm-inference",
"local-ai",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | mit | null | null | null | 177 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a914a013c18e52460c2b208","author":"0xSero","cardData":{"configs":[{"config_name":"hardware","data_files":[{"path":"data/hardware.jsonl","split":"train"}]},{"config_name":"models","data_files":[{"path":"data/models.jsonl","split":"train"}]},{"config_name":"model-instances","data_files":[{"path":"data/model-inst... |
dataset | 0xSero/minimax-m2.1-reap-observations | null | dataset:0xSero/minimax-m2.1-reap-observations | 2026-09-26T22:04:30.222715+00:00 | https://huggingface.co/datasets/0xSero/minimax-m2.1-reap-observations | 0xSero | 2026-01-12T19:50:15.000Z | 2026-09-01T12:14:39.000Z | b8563d01d74faa1f08ed9f2b85ec1502a64ebe92 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
MiniMax-M2.1 REAP Stress Test Observations
Comprehensive stress test results for MiniMax-M2.1 models pruned with REAP (Router-weighted Expert Activation Pruning) at ... | [
"arxiv:2510.13999",
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"minimax",
"modality:tabular",
"modality:text",
"moe",
"observations",
"pruning",
"reap",
"region:us",
"size_categories:n<1K",
"str... | apache-2.0 | null | null | null | 87 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69655077eec4e486efeb7fa7","author":"0xSero","cardData":{"language":["en"],"license":"apache-2.0","size_categories":["n<1K"],"tags":["minimax","moe","reap","pruning","stress-test","observations"],"task_categories":["text-generation"]},"createdAt":"2026-01-12T19:50:15.000Z","description":"\n[!TIP]\nSupport this w... |
dataset | 0xSero/minimax-m2.7-observations | null | dataset:0xSero/minimax-m2.7-observations | 2026-09-26T22:20:41.124067+00:00 | https://huggingface.co/datasets/0xSero/minimax-m2.7-observations | 0xSero | 2026-04-12T10:19:49.000Z | 2026-09-01T11:17:30.000Z | ae1c7a655e9925cc529d845ac6920f97b86c1da3 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
minimax-m2.7-observations
Dataset repository for 0xSero/minimax-m2.7-observations.
Dataset provenance: contains model prompts, traces, and/or generated outputs colle... | [
"arxiv:2510.13999",
"license-unresolved",
"region:us"
] | null | null | null | null | 115 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69db71c561f7dc0587c844ce","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-04-12T10:19:49.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tm... |
dataset | 0xSero/minimax-reap-observations | null | dataset:0xSero/minimax-reap-observations | 2026-09-26T22:04:14.542589+00:00 | https://huggingface.co/datasets/0xSero/minimax-reap-observations | 0xSero | 2026-01-04T05:07:57.000Z | 2026-09-01T11:17:32.000Z | 29c6fbf33683dc9746afe48ec2054c62e2f67343 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
minimax-reap-observations
Dataset repository for 0xSero/minimax-reap-observations.
Dataset provenance: contains model prompts, traces, and/or generated outputs colle... | [
"arxiv:2510.13999",
"license-unresolved",
"region:us"
] | null | null | null | null | 40 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959f5adaf1ebac7b882d032","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-01-04T05:07:57.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tm... |
dataset | 0xSero/nemotron-super-reap-artifacts-draft | null | dataset:0xSero/nemotron-super-reap-artifacts-draft | 2026-09-26T22:20:32.660432+00:00 | https://huggingface.co/datasets/0xSero/nemotron-super-reap-artifacts-draft | 0xSero | 2026-03-19T22:20:26.000Z | 2026-04-14T22:48:48.000Z | 9745e0dbd45304489a6bf3b716a4f51294508fb0 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
Nemotron Super REAP artifacts draft
This dataset repo is a draft research artifact release for REAP-based observation and compression work on nvidia/NVIDIA-Nemotron-... | [
"arxiv:2510.13999",
"license:other",
"region:us"
] | other | null | null | null | 61 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69bc76aa22def73b7a62c4e6","author":"0xSero","cardData":{"license":"other","pretty_name":"Nemotron Super REAP Artifacts Draft"},"createdAt":"2026-03-19T22:20:26.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras... |
dataset | 0xSero/qwen35-reap-layerwise-observations | null | dataset:0xSero/qwen35-reap-layerwise-observations | 2026-09-26T22:20:36.720174+00:00 | https://huggingface.co/datasets/0xSero/qwen35-reap-layerwise-observations | 0xSero | 2026-03-31T00:23:50.000Z | 2026-09-01T11:17:33.000Z | 0cbf32f56619e67e64fa22da2a5208542bce4603 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
qwen35-reap-layerwise-observations
Dataset repository for 0xSero/qwen35-reap-layerwise-observations.
Dataset provenance: contains model prompts, traces, and/or gener... | [
"arxiv:2510.13999",
"license-unresolved",
"region:us"
] | null | null | null | null | 1,130 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"69cb1416ad9089bbd6b49a7e","author":"0xSero","cardData":{"tags":["license-unresolved"]},"createdAt":"2026-03-31T00:23:50.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection\n\n\n\t\n\t\t\n\t\n\t\n\t\tq... |
dataset | 0xSero/reap-calibration-data-v1 | null | dataset:0xSero/reap-calibration-data-v1 | 2026-09-26T22:20:39.842459+00:00 | https://huggingface.co/datasets/0xSero/reap-calibration-data-v1 | 0xSero | 2026-04-08T23:15:32.000Z | 2026-04-21T22:08:30.000Z | 115e754ab8835025e5b59df4b0f30735d8a40ce8 | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
REAP Calibration Dataset v1
Benchmark-free calibration dataset for REAP (Routing-Enhanced Activation Pruning) of Mixture-of-Experts language models.
What... | [
"arxiv:2510.13999",
"benchmark-free",
"calibration",
"expert-pruning",
"format:json",
"language:en",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"modality:text",
"moe",
"reap",
"region:us",
"size_categories:10K<n<100K",
"task_cat... | apache-2.0 | null | null | null | 62 | 5 | false | false | [] | base_model | [] | [] | [] | {"_id":"69d6e1945c57785ab3270da3","author":"0xSero","cardData":{"language":["en"],"license":"apache-2.0","size_categories":["10K<n<100K"],"tags":["calibration","moe","expert-pruning","reap","benchmark-free"],"task_categories":["text-generation"]},"createdAt":"2026-04-08T23:15:32.000Z","description":"\n[!TIP]\nSupport t... |
dataset | 0xSero/step37-prune-terminal-bench-artifacts | null | dataset:0xSero/step37-prune-terminal-bench-artifacts | 2026-09-26T22:21:11.268576+00:00 | https://huggingface.co/datasets/0xSero/step37-prune-terminal-bench-artifacts | 0xSero | 2026-06-06T06:31:22.000Z | 2026-09-01T12:15:45.000Z | a0d4e38ed3f97f3952b6f10349707d94f2b7b47c | step37-prune-terminal-bench-artifacts
Trace artifacts from step37-prune-terminal-bench-artifacts benchmark runs.
Provenance
Dataset provenance: contains model prompts, traces, and/or generated outputs collected during REAP/quantization runs. Output content follows the upstream model's usage terms, but... | [
"license-unresolved",
"region:us",
"working-data"
] | null | null | null | null | 127 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a23beba98f0490648094d82","author":"0xSero","cardData":{"tags":["license-unresolved","working-data"]},"createdAt":"2026-06-06T06:31:22.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tstep37-prune-terminal-bench-artifacts\n\t\n\nTrace artifacts from step37-prune-terminal-bench-artifacts benchmark runs.\n\n\t\n\t\t\... |
dataset | 0xSero/structured-outputs-calibration-v1 | null | dataset:0xSero/structured-outputs-calibration-v1 | 2026-09-26T22:20:42.060769+00:00 | https://huggingface.co/datasets/0xSero/structured-outputs-calibration-v1 | 0xSero | 2026-04-14T11:39:35.000Z | 2026-04-21T21:59:35.000Z | 633563ef9f7d6454c584fc2485551640fc288bcb | [!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
structured-outputs-calibration-v1
Structured-output calibration set for REAP observer runs, focused on preserving:
strict JSON generation
schema-conditioned JSON re... | [
"arxiv:2510.13999",
"calibration",
"json",
"license:mit",
"markdown",
"mermaid",
"reasoning",
"region:us",
"structured-output",
"task_categories:text-generation"
] | mit | null | null | null | 65 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69de2777295f544119163f24","author":"0xSero","cardData":{"license":"mit","tags":["calibration","structured-output","json","markdown","mermaid","reasoning"],"task_categories":["text-generation"]},"createdAt":"2026-04-14T11:39:35.000Z","description":"\n[!TIP]\nSupport this work: donate.sybilsolutions.ai\nREAP surf... |
dataset | 0xShashi/tech-talks-segments | null | dataset:0xShashi/tech-talks-segments | 2026-09-26T22:21:56.881955+00:00 | https://huggingface.co/datasets/0xShashi/tech-talks-segments | 0xShashi | 2026-09-13T06:04:01.000Z | 2026-09-13T06:17:48.000Z | 0f88a51be60a058be030da789379603721cf42cb | Awesome Tech Talks Dataset
A curated dataset of 2,200+ technical sessions, workshops, and keynotes from official engineering organizations including Google, Microsoft, OpenAI, Anthropic, and Cursor. The dataset includes video metadata, structured topic classifications, cleaned transcripts, and 42,000+ segmented text... | [
"ai-agents",
"annotations_creators:machine-generated",
"anthropic",
"cloud-architecture",
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... | mit | null | null | null | 38 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa63cd10f26f66ca803f75a","author":"0xShashi","cardData":{"annotations_creators":["machine-generated"],"language":["en"],"license":"mit","multilinguality":["monolingual"],"pretty_name":"Awesome Tech Talks","size_categories":["10K<n<100K"],"source_datasets":["original"],"tags":["tech-talks","engineering-workshop... |
dataset | 0xSojalSec/tiktok-videos-4b-dataset | null | dataset:0xSojalSec/tiktok-videos-4b-dataset | 2026-09-26T22:22:01.711071+00:00 | https://huggingface.co/datasets/0xSojalSec/tiktok-videos-4b-dataset | 0xSojalSec | 2026-09-23T22:31:25.000Z | 2026-09-23T22:31:26.000Z | d7f6061d6521009394258a8a42afe4a550422e2f | Mirror of kuben-developer/tiktok-videos-4b, snapshot 2026-09-08. All credit to the original author; same research-use license applies.
TikTok Videos: 4.5 billion posts with engagement metrics
4.5 billion TikTok video records with captions, engagement counts, sound
identifiers and timing. Collected from ... | [
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dataset | 0xStego/image-labels-v1 | null | dataset:0xStego/image-labels-v1 | 2026-09-26T22:04:39.965009+00:00 | https://huggingface.co/datasets/0xStego/image-labels-v1 | 0xStego | 2026-01-21T08:19:44.000Z | 2026-01-21T08:33:12.000Z | 3e3487c344987aba067f5fd794b43d9320d7e168 | null | [
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] | creativeml-openrail-m | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69708c205135b1008b5198c1","author":"0xStego","cardData":{"license":"creativeml-openrail-m"},"createdAt":"2026-01-21T08:19:44.000Z","downloads":5,"gated":false,"id":"0xStego/image-labels-v1","lastModified":"2026-01-21T08:33:12.000Z","likes":0,"private":false,"sha":"3e3487c344987aba067f5fd794b43d9320d7e168","tags... |
dataset | 0xTreasure/humanoid-test-dataset | null | dataset:0xTreasure/humanoid-test-dataset | 2026-09-26T22:04:52.045093+00:00 | https://huggingface.co/datasets/0xTreasure/humanoid-test-dataset | 0xTreasure | 2026-02-03T16:28:30.000Z | 2026-02-03T16:32:06.000Z | d7d8983f6c8fad3aa8330e86d7e2bd31291c67fd | null | [
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dataset | 0xVVVita/ritual-sovereign-agent | null | dataset:0xVVVita/ritual-sovereign-agent | 2026-09-26T22:21:20.135802+00:00 | https://huggingface.co/datasets/0xVVVita/ritual-sovereign-agent | 0xVVVita | 2026-06-25T00:42:25.000Z | 2026-06-26T23:03:11.000Z | 1eea6dd3c45dc1c9f8bdf574599243714fb9825d | null | [
"region:us"
] | null | null | null | null | 3 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3c7971433459b0bfa7edd5","author":"0xVVVita","createdAt":"2026-06-25T00:42:25.000Z","downloads":3,"gated":false,"id":"0xVVVita/ritual-sovereign-agent","lastModified":"2026-06-26T23:03:11.000Z","likes":1,"private":false,"sha":"1eea6dd3c45dc1c9f8bdf574599243714fb9825d","tags":["region:us"]} |
dataset | 0xWei/TMC-Llama-3.1-8B-Instruct | null | dataset:0xWei/TMC-Llama-3.1-8B-Instruct | 2026-09-26T22:02:21.683751+00:00 | https://huggingface.co/datasets/0xWei/TMC-Llama-3.1-8B-Instruct | 0xWei | 2025-07-25T13:23:30.000Z | 2025-07-25T13:42:59.000Z | 955b7d7f35a653178d72cd77f5989df5c0f6f402 | Dataset Card for TMC-Llama-3.1-8B-Instruct Dataset
This is the official dataset source of the paper: DynamicMind: A Tri-Mode Thinking System for Large Language Models.
Code: The official GitHub repository.
Mind Router Models:
MR-Llama-3.1-8B-Instruct
MR-Qwen-2.5-7B-Instruct
Dataset Summary
The Think... | [
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dataset | 0xWei/TMC-Qwen-2.5-7B-Instruct | null | dataset:0xWei/TMC-Qwen-2.5-7B-Instruct | 2026-09-26T22:02:21.683751+00:00 | https://huggingface.co/datasets/0xWei/TMC-Qwen-2.5-7B-Instruct | 0xWei | 2025-07-25T13:35:35.000Z | 2025-07-25T13:42:23.000Z | 070aa17ca31e696c468bb38d7303f8852d79570a | Dataset Card for TMC-Qwen-2.5-7B-Instruct
This is the official dataset source of the paper: DynamicMind: A Tri-Mode Thinking System for Large Language Models.
Code: The official GitHub repository.
Mind Router Models:
MR-Llama-3.1-8B-Instruct
MR-Qwen-2.5-7B-Instruct
Dataset Summary
The Thinking Mode ... | [
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dataset | 0xZaid10/adaption-finacial-quantitative-and-crypto-dataset | null | dataset:0xZaid10/adaption-finacial-quantitative-and-crypto-dataset | 2026-09-26T22:21:20.386326+00:00 | https://huggingface.co/datasets/0xZaid10/adaption-finacial-quantitative-and-crypto-dataset | 0xZaid10 | 2026-06-25T15:17:55.000Z | 2026-06-25T15:19:01.000Z | 2742896ad859a5004f14bcf2a607148ff5228ff8 | This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-Finacial Quantitative and Crypto Dataset
This dataset contains prompts and completions focused on financial analysis, including cryptocurrency supply calculations, corporate financial ratio derivations, and ve... | [
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dataset | 0xZee/UniversalScienceKownledge-finetome-top-20k | null | dataset:0xZee/UniversalScienceKownledge-finetome-top-20k | 2026-09-26T21:59:43.273980+00:00 | https://huggingface.co/datasets/0xZee/UniversalScienceKownledge-finetome-top-20k | 0xZee | 2025-02-11T14:48:06.000Z | 2025-02-11T14:48:09.000Z | c466b809077c3a8a992e77855071a0d67dcf0eaa | null | [
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dataset | 0xZee/arxiv-math-Unsloth-tune-50k | null | dataset:0xZee/arxiv-math-Unsloth-tune-50k | 2026-09-26T21:59:00.987137+00:00 | https://huggingface.co/datasets/0xZee/arxiv-math-Unsloth-tune-50k | 0xZee | 2024-07-27T15:11:48.000Z | 2024-07-27T15:11:53.000Z | e4650bb326493cfa7d286a6ce9a5edcb6c9c4afb | null | [
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dataset | 0xZee/arxiv-math-instruct-Unsloth-50k | null | dataset:0xZee/arxiv-math-instruct-Unsloth-50k | 2026-09-26T21:59:00.987137+00:00 | https://huggingface.co/datasets/0xZee/arxiv-math-instruct-Unsloth-50k | 0xZee | 2024-07-27T14:36:33.000Z | 2024-07-27T15:03:50.000Z | 2b5d1fe4559b175453ae7099c16313564f4fb6cf | null | [
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dataset | 0xZee/arxiv-physics-Unsloth-tune-30k | null | dataset:0xZee/arxiv-physics-Unsloth-tune-30k | 2026-09-26T21:59:00.987137+00:00 | https://huggingface.co/datasets/0xZee/arxiv-physics-Unsloth-tune-30k | 0xZee | 2024-07-27T15:07:21.000Z | 2024-07-27T15:07:25.000Z | e912370b5b0765466a3df2a398ff1d22f38de236 | null | [
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dataset | 0xZee/arxiv-physics-instruct-tune-30k-unsloth | null | dataset:0xZee/arxiv-physics-instruct-tune-30k-unsloth | 2026-09-26T21:59:00.987137+00:00 | https://huggingface.co/datasets/0xZee/arxiv-physics-instruct-tune-30k-unsloth | 0xZee | 2024-07-27T14:18:13.000Z | 2024-07-27T14:21:06.000Z | 0473f6cf19c58260adabe1f2f6cefa237d0ac499 | null | [
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dataset | 0xZee/dataset-CoT-Advanced-Calculus-268 | null | dataset:0xZee/dataset-CoT-Advanced-Calculus-268 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Advanced-Calculus-268 | 0xZee | 2025-02-09T17:54:17.000Z | 2025-02-09T17:54:19.000Z | 2f41e6a7d10fc2688954cc1da637c4309ed3e822 | null | [
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] | null | null | null | null | 49 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a8ebc9ac04f448d2e6ad9d","author":"0xZee","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":2241632.306348282,"download_size":686301,"features":[{"dtype":"string","name":"question"},{"dtype":"string","name":"response"},{"dtyp... |
dataset | 0xZee/dataset-CoT-Applied-Mathematics-824 | null | dataset:0xZee/dataset-CoT-Applied-Mathematics-824 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Applied-Mathematics-824 | 0xZee | 2025-02-09T18:36:04.000Z | 2025-02-09T18:36:06.000Z | a4291a326b9e693e992f501ad2786aae505307fb | null | [
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] | null | null | null | null | 49 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a8f59446ff9bd8a958b423","author":"0xZee","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":6892182.9120559115,"download_size":2928845,"features":[{"dtype":"string","name":"question"},{"dtype":"string","name":"response"},{"dt... |
dataset | 0xZee/dataset-CoT-Atomic-Nuclear-Physics-144 | null | dataset:0xZee/dataset-CoT-Atomic-Nuclear-Physics-144 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Atomic-Nuclear-Physics-144 | 0xZee | 2025-02-09T17:55:41.000Z | 2025-02-09T17:55:43.000Z | 0b40116ac44a3cf87f8966d83115d0899b778e18 | null | [
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dataset | 0xZee/dataset-CoT-Classical-Mechanics-343 | null | dataset:0xZee/dataset-CoT-Classical-Mechanics-343 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Classical-Mechanics-343 | 0xZee | 2025-02-09T17:48:30.000Z | 2025-02-09T17:48:32.000Z | 5733871ff9fce98dd723f131fae66909825facee | null | [
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dataset | 0xZee/dataset-CoT-Computational-GeoPhysics-232 | null | dataset:0xZee/dataset-CoT-Computational-GeoPhysics-232 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Computational-GeoPhysics-232 | 0xZee | 2025-02-09T18:34:55.000Z | 2025-02-09T18:34:56.000Z | f63172d69780232d47a2c08c44a8cbcf49575c6b | null | [
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] | null | null | null | null | 18 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a8f54f211ce75948e89724","author":"0xZee","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1940517.5189283635,"download_size":998187,"features":[{"dtype":"string","name":"question"},{"dtype":"string","name":"response"},{"dty... |
dataset | 0xZee/dataset-CoT-Computional-Physics-176 | null | dataset:0xZee/dataset-CoT-Computional-Physics-176 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Computional-Physics-176 | 0xZee | 2025-02-09T18:24:49.000Z | 2025-02-09T18:25:13.000Z | ca6b6f83284e6a2683005628f585a2646b8bb158 | null | [
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dataset | 0xZee/dataset-CoT-Differential-Equations-636 | null | dataset:0xZee/dataset-CoT-Differential-Equations-636 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Differential-Equations-636 | 0xZee | 2025-02-09T17:47:32.000Z | 2025-02-09T17:47:34.000Z | fadcbe441a39335427f349b9cf1aa2beb3d9b5c5 | null | [
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dataset | 0xZee/dataset-CoT-Electromagnetism-580 | null | dataset:0xZee/dataset-CoT-Electromagnetism-580 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Electromagnetism-580 | 0xZee | 2025-02-09T17:51:40.000Z | 2025-02-09T17:51:42.000Z | fec2518a4c2340d8b15a64f42478b1b2136693f5 | null | [
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dataset | 0xZee/dataset-CoT-Engineering-574 | null | dataset:0xZee/dataset-CoT-Engineering-574 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Engineering-574 | 0xZee | 2025-02-09T17:44:49.000Z | 2025-02-09T17:44:50.000Z | d480628eeb60ebe8849b4f287dc1318a5f3bef22 | null | [
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dataset | 0xZee/dataset-CoT-General-Relativity-76 | null | dataset:0xZee/dataset-CoT-General-Relativity-76 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-General-Relativity-76 | 0xZee | 2025-02-09T17:56:31.000Z | 2025-02-09T17:56:33.000Z | 7128c8ee51ad4fbc9aed8e05c1afdc90ff8ed10e | null | [
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dataset | 0xZee/dataset-CoT-Linear-Algebra-667 | null | dataset:0xZee/dataset-CoT-Linear-Algebra-667 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Linear-Algebra-667 | 0xZee | 2025-02-09T17:52:30.000Z | 2025-02-09T17:52:32.000Z | 68be3468684c020ced781f5e067d348fa4e48f6d | null | [
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dataset | 0xZee/dataset-CoT-Modern-Physics-177 | null | dataset:0xZee/dataset-CoT-Modern-Physics-177 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Modern-Physics-177 | 0xZee | 2025-02-09T18:17:12.000Z | 2025-02-09T18:17:13.000Z | 53977d2c0f1459013516f342c385b5deaaa5e1bb | null | [
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dataset | 0xZee/dataset-CoT-Molecular-Biology-71 | null | dataset:0xZee/dataset-CoT-Molecular-Biology-71 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Molecular-Biology-71 | 0xZee | 2025-02-09T17:49:54.000Z | 2025-02-09T17:49:56.000Z | 45b80e9c055e3e0bd733eeba80039a29bef8b7fe | null | [
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dataset | 0xZee/dataset-CoT-Particle-Astroparticle-Physics-193 | null | dataset:0xZee/dataset-CoT-Particle-Astroparticle-Physics-193 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Particle-Astroparticle-Physics-193 | 0xZee | 2025-02-09T18:26:32.000Z | 2025-02-09T18:26:34.000Z | b578b7f024a242b7f01d8f6d1f82a5c6d2b1a42d | null | [
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dataset | 0xZee/dataset-CoT-Physics-2254 | null | dataset:0xZee/dataset-CoT-Physics-2254 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Physics-2254 | 0xZee | 2025-02-09T17:46:27.000Z | 2025-02-09T17:46:29.000Z | a95ffe932397581a4e23cd1a3570ce705031d325 | null | [
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dataset | 0xZee/dataset-CoT-Physiology-114 | null | dataset:0xZee/dataset-CoT-Physiology-114 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Physiology-114 | 0xZee | 2025-02-09T17:49:09.000Z | 2025-02-09T17:49:11.000Z | 92a7814c30a5f0aee1e15d879ef95200d9e417e5 | null | [
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dataset | 0xZee/dataset-CoT-Quantum-Computing-224 | null | dataset:0xZee/dataset-CoT-Quantum-Computing-224 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Quantum-Computing-224 | 0xZee | 2025-02-09T18:19:01.000Z | 2025-02-09T18:19:03.000Z | 816ac08be627d55d98dca90f75ebd3268ca8320e | null | [
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dataset | 0xZee/dataset-CoT-Quantum-Mechanics-1224 | null | dataset:0xZee/dataset-CoT-Quantum-Mechanics-1224 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Quantum-Mechanics-1224 | 0xZee | 2025-02-09T17:54:54.000Z | 2025-02-09T17:54:56.000Z | 8bd963eea89c0cd6fe0ec71ae2c824d0117f1aee | null | [
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dataset | 0xZee/dataset-CoT-Relativity-Astrophysics-Nuclear-Physics-313 | null | dataset:0xZee/dataset-CoT-Relativity-Astrophysics-Nuclear-Physics-313 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Relativity-Astrophysics-Nuclear-Physics-313 | 0xZee | 2025-02-09T18:09:20.000Z | 2025-02-09T18:09:22.000Z | a8298ca774323e1a44e8b21e35857d0e42df92c4 | null | [
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dataset | 0xZee/dataset-CoT-Space-Physics-Astrophysics-76 | null | dataset:0xZee/dataset-CoT-Space-Physics-Astrophysics-76 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Space-Physics-Astrophysics-76 | 0xZee | 2025-02-09T17:57:22.000Z | 2025-02-09T17:57:25.000Z | 0259b141797f49dd1f45a53663d505b423c0bd14 | null | [
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dataset | 0xZee/dataset-CoT-Theoretical-Mechanics-307 | null | dataset:0xZee/dataset-CoT-Theoretical-Mechanics-307 | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-Theoretical-Mechanics-307 | 0xZee | 2025-02-09T17:53:21.000Z | 2025-02-09T17:53:23.000Z | 1a656418b00dbdab684cace99bb87cc4d2cadba2 | null | [
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dataset | 0xZee/dataset-CoT-mathematics | null | dataset:0xZee/dataset-CoT-mathematics | 2026-09-26T21:59:42.562936+00:00 | https://huggingface.co/datasets/0xZee/dataset-CoT-mathematics | 0xZee | 2025-02-09T17:35:49.000Z | 2025-02-09T17:35:51.000Z | c1f93a301880755aa580912da0d03a7cc6b16255 | null | [
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dataset | 0xZee/it_meps | null | dataset:0xZee/it_meps | 2026-09-26T21:59:17.448024+00:00 | https://huggingface.co/datasets/0xZee/it_meps | 0xZee | 2024-10-22T22:44:53.000Z | 2024-10-22T22:44:53.000Z | f12e30344ee599dd15d3906a8f0a202e08f750a0 | null | [
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] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67182ae510ca4f9b8f11cc68","author":"0xZee","createdAt":"2024-10-22T22:44:53.000Z","downloads":1,"gated":false,"id":"0xZee/it_meps","lastModified":"2024-10-22T22:44:53.000Z","likes":0,"private":false,"sha":"f12e30344ee599dd15d3906a8f0a202e08f750a0","tags":["region:us"]} |
dataset | 0xZee/it_ops_dataset | null | dataset:0xZee/it_ops_dataset | 2026-09-26T21:59:46.566473+00:00 | https://huggingface.co/datasets/0xZee/it_ops_dataset | 0xZee | 2025-02-23T16:20:10.000Z | 2025-02-23T16:20:11.000Z | 83bf5b6c264fddb88c8d8d3b90b61849bdf5e656 | null | [
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dataset | 0xZee/list_mep | null | dataset:0xZee/list_mep | 2026-09-26T21:59:18.127937+00:00 | https://huggingface.co/datasets/0xZee/list_mep | 0xZee | 2024-10-26T14:48:00.000Z | 2024-10-26T14:48:02.000Z | 2d926b9fc771ecba75f721eada7f5a9c7748d4f2 | null | [
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dataset | 0xZeno/adamWharton | null | dataset:0xZeno/adamWharton | 2026-09-26T22:02:33.407838+00:00 | https://huggingface.co/datasets/0xZeno/adamWharton | 0xZeno | 2025-08-18T10:39:49.000Z | 2025-08-18T10:40:35.000Z | 03f677551be98d783f7aa09eaccf26e83a370bc0 | null | [
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dataset | 0xZeno/labrador | null | dataset:0xZeno/labrador | 2026-09-26T22:02:32.013094+00:00 | https://huggingface.co/datasets/0xZeno/labrador | 0xZeno | 2025-08-14T10:14:04.000Z | 2025-08-14T10:17:52.000Z | aed756979d8aca0c2ddac1f2c7c47101bcd7a8aa | null | [
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dataset | 0xZoki/daedaland-test | null | dataset:0xZoki/daedaland-test | 2026-09-26T21:57:59.937926+00:00 | https://huggingface.co/datasets/0xZoki/daedaland-test | 0xZoki | 2022-09-11T13:36:13.000Z | 2022-09-11T13:50:13.000Z | bd0926e4ef0e4dc290cd6512a170660e15f0e619 | null | [
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dataset | 0xaf/spotify_audio_features | null | dataset:0xaf/spotify_audio_features | 2026-09-26T22:21:49.124021+00:00 | https://huggingface.co/datasets/0xaf/spotify_audio_features | 0xaf | 2026-08-28T07:59:55.000Z | 2026-08-28T07:59:56.000Z | a35f69507f1c8b187644c1e135ad07a12b0bf258 | Spotify Tracks & Audio Features Dataset
Overview
This dataset contains a comprehensive collection of Spotify tracks, combining rich audio feature analysis with track metadata. It is formatted as a high-performance Parquet dataset (ZStandard compressed), optimized for large-scale tabular analysis, mach... | [
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dataset | 0xaoyama/ritual | null | dataset:0xaoyama/ritual | 2026-09-26T22:21:20.941844+00:00 | https://huggingface.co/datasets/0xaoyama/ritual | 0xaoyama | 2026-06-27T05:05:28.000Z | 2026-06-28T19:17:33.000Z | b31b92d0d44e23d01d6cb77249a09a267f0ee353 | null | [
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] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3f5a18e46698a2cd2f1574","author":"0xaoyama","createdAt":"2026-06-27T05:05:28.000Z","downloads":3,"gated":false,"id":"0xaoyama/ritual","lastModified":"2026-06-28T19:17:33.000Z","likes":0,"private":false,"sha":"b31b92d0d44e23d01d6cb77249a09a267f0ee353","tags":["region:us"]} |
dataset | 0xarchit/Ques-Ans-with-Emotion | null | dataset:0xarchit/Ques-Ans-with-Emotion | 2026-09-26T22:00:30.551315+00:00 | https://huggingface.co/datasets/0xarchit/Ques-Ans-with-Emotion | 0xarchit | 2025-06-03T17:09:49.000Z | 2025-06-03T18:19:41.000Z | 814ae3b445c60b97092b7552be367f96ff425183 | created and shared by: 0xarchit | [
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dataset | 0xarchit/n8n_workflows_templates_dataset | null | dataset:0xarchit/n8n_workflows_templates_dataset | 2026-09-26T22:00:47.420548+00:00 | https://huggingface.co/datasets/0xarchit/n8n_workflows_templates_dataset | 0xarchit | 2025-07-09T14:16:14.000Z | 2025-07-09T15:19:47.000Z | f5471ff1064c1cb27397b41f1dea8edbc8d5e17c | null | [
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dataset | 0xardeth/KenArd | null | dataset:0xardeth/KenArd | 2026-09-26T22:03:45.757408+00:00 | https://huggingface.co/datasets/0xardeth/KenArd | 0xardeth | 2025-12-10T03:13:05.000Z | 2025-12-10T03:13:05.000Z | fd2cf94ed06d60711686e984bde40bf1a153d34a | null | [
"region:us"
] | null | null | null | null | 0 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6938e541cba666c2008e24a7","author":"0xardeth","createdAt":"2025-12-10T03:13:05.000Z","downloads":0,"gated":false,"id":"0xardeth/KenArd","lastModified":"2025-12-10T03:13:05.000Z","likes":1,"private":false,"sha":"fd2cf94ed06d60711686e984bde40bf1a153d34a","tags":["region:us"]} |
dataset | 0xaryan/music-classifier | null | dataset:0xaryan/music-classifier | 2026-09-26T21:58:03.460852+00:00 | https://huggingface.co/datasets/0xaryan/music-classifier | 0xaryan | 2023-03-27T22:41:48.000Z | 2023-03-27T23:30:02.000Z | 804c8a6c74acbe1191e58474d961693bc9efa80a | null | [
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dataset | 0xastro98/EngToTulu | null | dataset:0xastro98/EngToTulu | 2026-09-26T22:02:27.646377+00:00 | https://huggingface.co/datasets/0xastro98/EngToTulu | 0xastro98 | 2025-08-06T06:20:13.000Z | 2025-08-06T06:20:15.000Z | 968f4bf53dc81e8823ce69ee8368f8c865099bcc | null | [
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] | null | null | null | null | 286 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6892f41db021bfb5ebc0a006","author":"0xastro98","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1708,"download_size":2281,"features":[{"dtype":"string","name":"tulu"},{"dtype":"string","name":"english"}],"splits":[{"name":"tr... |
dataset | 0xastro98/bashe-small | null | dataset:0xastro98/bashe-small | 2026-09-26T22:02:27.646377+00:00 | https://huggingface.co/datasets/0xastro98/bashe-small | 0xastro98 | 2025-08-06T04:27:42.000Z | 2025-08-06T04:27:42.000Z | a56d284a77a8e057b6678d5feea8281b4b6413c1 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6892d9be821ecdf8ea5e8dd5","author":"0xastro98","createdAt":"2025-08-06T04:27:42.000Z","downloads":1,"gated":false,"id":"0xastro98/bashe-small","lastModified":"2025-08-06T04:27:42.000Z","likes":0,"private":false,"sha":"a56d284a77a8e057b6678d5feea8281b4b6413c1","tags":["region:us"]} |
dataset | 0xazz/Arb_Network | null | dataset:0xazz/Arb_Network | 2026-09-26T22:00:03.006923+00:00 | https://huggingface.co/datasets/0xazz/Arb_Network | 0xazz | 2025-04-02T17:25:11.000Z | 2025-04-02T17:26:09.000Z | c2b7e8382ac800167e86c29984ab01d984f59401 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 10 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"67ed72f7f154d994ce152706","author":"0xazz","cardData":{"license":"apache-2.0"},"createdAt":"2025-04-02T17:25:11.000Z","downloads":10,"gated":false,"id":"0xazz/Arb_Network","lastModified":"2025-04-02T17:26:09.000Z","likes":1,"private":false,"sha":"c2b7e8382ac800167e86c29984ab01d984f59401","tags":["license:apache... |
dataset | 0xba1a/cve_backport_bench_1 | null | dataset:0xba1a/cve_backport_bench_1 | 2026-09-26T21:59:47.007189+00:00 | https://huggingface.co/datasets/0xba1a/cve_backport_bench_1 | 0xba1a | 2025-02-24T16:46:21.000Z | 2025-03-03T09:04:40.000Z | 63cc854be801c37daaa2a8660ae2078f4b1cad2b | null | [
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] | mit | null | null | null | 92 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67bca25d119743a173042e2b","author":"0xba1a","cardData":{"license":"mit"},"createdAt":"2025-02-24T16:46:21.000Z","downloads":92,"gated":false,"id":"0xba1a/cve_backport_bench_1","lastModified":"2025-03-03T09:04:40.000Z","likes":0,"private":false,"sha":"63cc854be801c37daaa2a8660ae2078f4b1cad2b","tags":["license:mi... |
dataset | 0xbabayo/ervan | null | dataset:0xbabayo/ervan | 2026-09-26T22:03:47.919188+00:00 | https://huggingface.co/datasets/0xbabayo/ervan | 0xbabayo | 2025-12-12T06:33:52.000Z | 2025-12-12T06:33:52.000Z | 4b1d5209a34c60abe96e9066e1af84dee1ef2e49 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693bb75009e8d64290c47f3b","author":"0xbabayo","cardData":{"license":"apache-2.0"},"createdAt":"2025-12-12T06:33:52.000Z","downloads":1,"gated":false,"id":"0xbabayo/ervan","lastModified":"2025-12-12T06:33:52.000Z","likes":0,"private":false,"sha":"4b1d5209a34c60abe96e9066e1af84dee1ef2e49","tags":["license:apache-... |
dataset | 0xbabayo/evand | null | dataset:0xbabayo/evand | 2026-09-26T22:03:47.919188+00:00 | https://huggingface.co/datasets/0xbabayo/evand | 0xbabayo | 2025-12-12T06:35:08.000Z | 2025-12-12T06:35:08.000Z | 9bc5849760a676d2022a3d540f91368c7ec73b63 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693bb79c1d8c6c0a6821aad8","author":"0xbabayo","cardData":{"license":"mit"},"createdAt":"2025-12-12T06:35:08.000Z","downloads":2,"gated":false,"id":"0xbabayo/evand","lastModified":"2025-12-12T06:35:08.000Z","likes":0,"private":false,"sha":"9bc5849760a676d2022a3d540f91368c7ec73b63","tags":["license:mit","region:u... |
dataset | 0xbabayo/jojo | null | dataset:0xbabayo/jojo | 2026-09-26T22:03:47.919188+00:00 | https://huggingface.co/datasets/0xbabayo/jojo | 0xbabayo | 2025-12-12T06:35:46.000Z | 2025-12-12T06:35:46.000Z | eb9042a4006793d953e905f510362e49ca04a4d4 | null | [
"license:openrail",
"region:us"
] | openrail | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693bb7c2fef63fc6e0422e25","author":"0xbabayo","cardData":{"license":"openrail"},"createdAt":"2025-12-12T06:35:46.000Z","downloads":3,"gated":false,"id":"0xbabayo/jojo","lastModified":"2025-12-12T06:35:46.000Z","likes":0,"private":false,"sha":"eb9042a4006793d953e905f510362e49ca04a4d4","tags":["license:openrail",... |
dataset | 0xbidkslj1/baby_training_97 | null | dataset:0xbidkslj1/baby_training_97 | 2026-09-26T22:21:41.765825+00:00 | https://huggingface.co/datasets/0xbidkslj1/baby_training_97 | 0xbidkslj1 | 2026-08-12T18:44:59.000Z | 2026-08-14T09:11:44.000Z | 35e24e77462d05a9bb028e52ea89f866afe0dc7b | baby_training
Full-parameter DPO (+ RPO NLL anchor) fine-tuning of Qwen3.6-35B-A3B
(/workspace/models/kote-120, 35.1 B total / ~3 B active MoE) on preference pairs mined from
Bittensor subnet 97 "albedo" rollout data.
albedo scores agentic coding duels: one prompt, two 8-turn trajectories, a cached glm-5.2
checklist... | [
"region:us"
] | null | null | null | null | 26 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6a7cbf2bd52ac31545c34b3e","author":"0xbidkslj1","createdAt":"2026-08-12T18:44:59.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tbaby_training\n\t\n\nFull-parameter DPO (+ RPO NLL anchor) fine-tuning of Qwen3.6-35B-A3B\n(/workspace/models/kote-120, 35.1 B total / ~3 B active MoE) on preference pairs mined from\nBi... |
dataset | 0xbidkslj1/local_eval | null | dataset:0xbidkslj1/local_eval | 2026-09-26T22:21:57.713909+00:00 | https://huggingface.co/datasets/0xbidkslj1/local_eval | 0xbidkslj1 | 2026-09-14T22:35:32.000Z | 2026-09-14T22:39:01.000Z | 22e47dbeee8ed2143dc77c9dacab29cef0e7d3e7 | Local Affine duel (remote vLLM, Affine scoring)
This machine does not serve models. Affine's evalsrv.dueling.run_duel scores
three remote OpenAI-compatible endpoints. Model ids come from each server's
GET /v1/models — you only pass URLs. Completions still send that served id.
Chat tokenizers are loaded from tokenize... | [
"region:us"
] | null | null | null | null | 228 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa876b4c3a6763368281fd4","author":"0xbidkslj1","createdAt":"2026-09-14T22:35:32.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tLocal Affine duel (remote vLLM, Affine scoring)\n\t\n\nThis machine does not serve models. Affine's evalsrv.dueling.run_duel scores\nthree remote OpenAI-compatible endpoints. Model ids c... |
dataset | 0xbidkslj1/test | null | dataset:0xbidkslj1/test | 2026-09-26T22:21:57.954804+00:00 | https://huggingface.co/datasets/0xbidkslj1/test | 0xbidkslj1 | 2026-09-15T14:13:44.000Z | 2026-09-15T14:38:43.000Z | 0505dfb9e8b2f368264dbf4b1cc5491c4098887b | SN44 football event detection — measurement harness
Tooling for the manako/DetectFootballEvent private-track element on Bittensor
subnet 44.
Two pieces, deliberately split by what ships:
Location
Ships in miner image
Inference + calibration
turbovision/scorevision/miner/private_track/sv_football/
yes
H... | [
"region:us"
] | null | null | null | null | 46 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6aa95298ceedd411a4cf36ee","author":"0xbidkslj1","createdAt":"2026-09-15T14:13:44.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tSN44 football event detection \u2014 measurement harness\n\t\n\nTooling for the manako/DetectFootballEvent private-track element on Bittensor\nsubnet 44.\nTwo pieces, deliberately split ... |
dataset | 0xbkr/flux | null | dataset:0xbkr/flux | 2026-09-26T22:00:02.643718+00:00 | https://huggingface.co/datasets/0xbkr/flux | 0xbkr | 2025-04-01T00:12:57.000Z | 2025-04-01T00:12:57.000Z | 0ab5e1d61587dcd334d174997bffe616d163eda0 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67eb2f89cf26a35192727e1a","author":"0xbkr","createdAt":"2025-04-01T00:12:57.000Z","downloads":1,"gated":false,"id":"0xbkr/flux","lastModified":"2025-04-01T00:12:57.000Z","likes":0,"private":false,"sha":"0ab5e1d61587dcd334d174997bffe616d163eda0","tags":["region:us"]} |
dataset | 0xbu117/offensive_lua | null | dataset:0xbu117/offensive_lua | 2026-09-26T22:00:18.862603+00:00 | https://huggingface.co/datasets/0xbu117/offensive_lua | 0xbu117 | 2025-05-07T22:36:39.000Z | 2025-05-07T22:40:54.000Z | 5cd2dc25d6d95199d37c6d75cb138ce759fb5624 | null | [
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"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"681be077d8d5182a5bcc4895","author":"0xbu117","createdAt":"2025-05-07T22:36:39.000Z","downloads":1,"gated":false,"id":"0xbu117/offensive_lua","lastModified":"2025-05-07T22:40:54.000Z","likes":0,"private":false,"sha":"5cd2dc25d6d95199d37c6d75cb138ce759fb5624","tags":["size_categories:n<1K","format:json","modality... |
dataset | 0xcRachel/simswap-deps | null | dataset:0xcRachel/simswap-deps | 2026-09-26T22:00:46.324025+00:00 | https://huggingface.co/datasets/0xcRachel/simswap-deps | 0xcRachel | 2025-07-05T16:22:37.000Z | 2025-07-05T16:22:37.000Z | d86d4ca537929879bf87cc010e02ff32fac37f82 | null | [
"region:us"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6869514d900e1db52a562782","author":"0xcRachel","createdAt":"2025-07-05T16:22:37.000Z","downloads":5,"gated":false,"id":"0xcRachel/simswap-deps","lastModified":"2025-07-05T16:22:37.000Z","likes":0,"private":false,"sha":"d86d4ca537929879bf87cc010e02ff32fac37f82","tags":["region:us"]} |
dataset | 0xchiii/nyan-ritual | null | dataset:0xchiii/nyan-ritual | 2026-09-26T22:21:20.941844+00:00 | https://huggingface.co/datasets/0xchiii/nyan-ritual | 0xchiii | 2026-06-27T05:05:47.000Z | 2026-06-28T23:16:49.000Z | eb142f633a6926dec6eb117bf7aac7caacc02eb6 | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3f5a2b74029aee4c07b77d","author":"0xchiii","createdAt":"2026-06-27T05:05:47.000Z","downloads":3,"gated":false,"id":"0xchiii/nyan-ritual","lastModified":"2026-06-28T23:16:49.000Z","likes":0,"private":false,"sha":"eb142f633a6926dec6eb117bf7aac7caacc02eb6","tags":["region:us"]} |
dataset | 0xchimps/dataaaa | null | dataset:0xchimps/dataaaa | 2026-09-26T22:03:49.685662+00:00 | https://huggingface.co/datasets/0xchimps/dataaaa | 0xchimps | 2025-12-14T06:16:14.000Z | 2025-12-14T06:16:15.000Z | 59d7087de63a1503ecf0eb6d983d46efc45359b0 | null | [
"license:creativeml-openrail-m",
"region:us"
] | creativeml-openrail-m | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693e562ed9c3e9aae0aa6655","author":"0xchimps","cardData":{"license":"creativeml-openrail-m"},"createdAt":"2025-12-14T06:16:14.000Z","downloads":2,"gated":false,"id":"0xchimps/dataaaa","lastModified":"2025-12-14T06:16:15.000Z","likes":0,"private":false,"sha":"59d7087de63a1503ecf0eb6d983d46efc45359b0","tags":["li... |
dataset | 0xchimps/ghuio | null | dataset:0xchimps/ghuio | 2026-09-26T22:03:51.177296+00:00 | https://huggingface.co/datasets/0xchimps/ghuio | 0xchimps | 2025-12-16T10:51:57.000Z | 2025-12-16T10:51:57.000Z | 4b2e2d9c7dcede8613b971a41064517150d08649 | null | [
"license:bsl-1.0",
"region:us"
] | bsl-1.0 | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"694139cdb8d2c73cf3cbf56c","author":"0xchimps","cardData":{"license":"bsl-1.0"},"createdAt":"2025-12-16T10:51:57.000Z","downloads":4,"gated":false,"id":"0xchimps/ghuio","lastModified":"2025-12-16T10:51:57.000Z","likes":0,"private":false,"sha":"4b2e2d9c7dcede8613b971a41064517150d08649","tags":["license:bsl-1.0","... |
dataset | 0xchimps/gtuio | null | dataset:0xchimps/gtuio | 2026-09-26T22:03:51.177296+00:00 | https://huggingface.co/datasets/0xchimps/gtuio | 0xchimps | 2025-12-16T10:54:49.000Z | 2025-12-16T10:54:49.000Z | 08975178259edf607da89fec81d403039ded792e | null | [
"license:cc",
"region:us"
] | cc | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69413a79da68d8552f7c9d99","author":"0xchimps","cardData":{"license":"cc"},"createdAt":"2025-12-16T10:54:49.000Z","downloads":2,"gated":false,"id":"0xchimps/gtuio","lastModified":"2025-12-16T10:54:49.000Z","likes":0,"private":false,"sha":"08975178259edf607da89fec81d403039ded792e","tags":["license:cc","region:us"... |
dataset | 0xchimps/kamto | null | dataset:0xchimps/kamto | 2026-09-26T22:03:49.685662+00:00 | https://huggingface.co/datasets/0xchimps/kamto | 0xchimps | 2025-12-14T06:16:41.000Z | 2025-12-14T06:16:41.000Z | 20e50dd3c5d96c864269fb3342ddf18c8ee6fb5f | null | [
"license:cc-by-2.5",
"region:us"
] | cc-by-2.5 | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693e5649d9c3e9aae0aa684f","author":"0xchimps","cardData":{"license":"cc-by-2.5"},"createdAt":"2025-12-14T06:16:41.000Z","downloads":2,"gated":false,"id":"0xchimps/kamto","lastModified":"2025-12-14T06:16:41.000Z","likes":0,"private":false,"sha":"20e50dd3c5d96c864269fb3342ddf18c8ee6fb5f","tags":["license:cc-by-2.... |
dataset | 0xchimps/kiopp | null | dataset:0xchimps/kiopp | 2026-09-26T22:03:47.451350+00:00 | https://huggingface.co/datasets/0xchimps/kiopp | 0xchimps | 2025-12-11T13:26:12.000Z | 2025-12-11T13:26:12.000Z | 4bf2b3c9cc5d4e2d3bbc1e735f2830bf15a4832b | null | [
"license:creativeml-openrail-m",
"region:us"
] | creativeml-openrail-m | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693ac674c48a825d9205b988","author":"0xchimps","cardData":{"license":"creativeml-openrail-m"},"createdAt":"2025-12-11T13:26:12.000Z","downloads":3,"gated":false,"id":"0xchimps/kiopp","lastModified":"2025-12-11T13:26:12.000Z","likes":0,"private":false,"sha":"4bf2b3c9cc5d4e2d3bbc1e735f2830bf15a4832b","tags":["lice... |
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