Add licensed mouse task public packets (927-995)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +8 -6
- catalog.jsonl +5 -0
- collection.json +43 -4
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/1M84PEX8WMOBJ9VBEY7E.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/1QYWIAXFHBB6LMQQX3U4.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/2UOKXFYMH37SIIUKEDIB.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/3DWYTOFNRC9E4Z7U2YRS.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/3H74CDAWI1K6LDVIOOA7.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/614U99R0G4HJXJ9LWD0K.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/6OT80I9HXZKZRKDVVD1D.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/7RKWMYVZIDUKRPF9FQ2R.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/8E0I9V6PEP0E52H7JV6D.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/8FSP26KT95Z1P9LBWZUB.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/8SGYREZXKE613JQ1WZD4.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/9PPXS5PSU6CR6VN57TDY.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/ABLQJ1XO63HZFZR16BUC.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/AHSPMSN5I69MRA8L16OF.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/B1MO713MB9CUUDO7K79R.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/DVKJWX9MDSKI10L1CFBW.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/E9KK65ORO1JR6P9OCV8M.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/EFNPOUSNH5KQZ2LPBBOP.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/F9PRT5WE6D7BDTE7VXLK.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/FE22CFXQVKVJQB5MZJ0A.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/GHOU7DPLPC3S7MIMBQZ4.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/GTCEG41W3PDIJ6H5GG3A.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/H1H4SCG6FKPA4OJA70E6.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/HG78HCQMZSVJ1GXKGZUG.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/HT3GL0EY9S3HQQ2ILGUO.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/I41A4BX9TI6LKR4UL5ES.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/I4B8EPEERXE8W88DEYRZ.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/IO0AKX9G3VWLAORML2V8.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/JJMZ0KT4B68X1YUD7569.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/JS313D4EM0MEAUUA2ZYQ.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/K0WO3CTZT4F1S91AZDX7.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/KXPBY5PNUL82L40I3U8H.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/L550VSHPF4KVKA6D3MT2.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/M8BVZEQ4SIZ8LMQDLQTU.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/NYOF9JMMQKFUP7VNWMYC.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/OQC0WOLIQMNIT6N1BXMX.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/PRSKKD7H0W7X41XBW3HZ.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/U2PW3OGU0VX4PJRC0D4L.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/USXIOKQYUECEY0ZQN5LI.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/UU9RUBJJ22RQ5GSFZX26.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/UZUV0RAX0K2W9A109IDN.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/V1SHVCAO1CMBWDDSHO6L.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/W7FDQJJ3W22V0BCQT0ZC.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/WE9BIY6LM9M4LCXE5UME.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/WULQKL3R6E5MDJZW25SV.npz +3 -0
- tasks/animal-behavior/mabe22-supervised-segmentation/public/pose/train/YEV3WRM2L4G2NSG0QVLV.npz +3 -0
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README.md
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@@ -23,9 +23,9 @@ Public data for research tasks in brain science and human behavior.
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Agents use these data to develop neural decoders, predict human responses, and analyze relationships between brain measurements.
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The [BrainPilotBench source repository](https://github.com/NeuroAIHub/BrainPilotBench/tree/7306cc0b0e8958cc8f84918b68446310d8dbc662) provides task instructions, environments, submission formats, and scoring code.
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**
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> **Agent benchmark results for the
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> The four retained v0 tasks have separate historical results. Data preparation and fixed-reference checks are not Agent benchmark results.
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## Explore the tasks
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| [Connectomics](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/connectomics) | 1 | Compare anatomical connectivity with measured signal propagation in C. elegans. |
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| [Calcium imaging](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/calcium-imaging) | 1 | Analyze RSC place-cell activity and decode behavior. |
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| [Invasive recordings](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/invasive) | 7 | Decode movement, muscle activity, handwriting, film conditions, and birdsong from invasive neural recordings. |
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Start with [human casino choices](tasks/psychology/psych101-lefebvre2017behavioural-exp1/README.md),
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[MRI age prediction](tasks/mri/brain-age-mri/README.md), or
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The task's `data.lock` pins exact HF commits, file sizes, and SHA-256 digests.
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Native scientific formats remain unchanged.
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Public files are hosted for
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H1 provides [source download and local preparation instructions](tasks/invasive/falcon-h1-reach-grasp/README.md) because its Data Use Agreement prohibits redistribution.
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The film task's public package supports Agent preparation. Block-first scoring still requires a trusted evaluator mapping that is not hosted here.
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Private evaluation files, owner mappings, and keys are excluded from this data repository.
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## Versions, source terms, and results
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The v1 collection contains
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Individual task versions define scientific protocols. HF commit IDs identify data snapshots.
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Task cards link to versioned source guides. Directory navigation links use the current `main` tree.
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The root LICENSE does not grant an Apache license for all task data.
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BCI IV-4 retains its competition source terms. The film package excludes the copyrighted movie.
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The unified access update
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The [data preparation record](https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/docs/data-preparation.md) separates delivery checks from Agent evaluation.
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Earlier immutable data URLs remain available in the publication history.
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Agents use these data to develop neural decoders, predict human responses, and analyze relationships between brain measurements.
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The [BrainPilotBench source repository](https://github.com/NeuroAIHub/BrainPilotBench/tree/7306cc0b0e8958cc8f84918b68446310d8dbc662) provides task instructions, environments, submission formats, and scoring code.
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**117 tasks · 7 data categories · public data for 116 tasks**
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> **Agent benchmark results for the 113 new v1 tasks are not yet available.**
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> The four retained v0 tasks have separate historical results. Data preparation and fixed-reference checks are not Agent benchmark results.
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## Explore the tasks
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| [Connectomics](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/connectomics) | 1 | Compare anatomical connectivity with measured signal propagation in C. elegans. |
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| [Calcium imaging](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/calcium-imaging) | 1 | Analyze RSC place-cell activity and decode behavior. |
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| [Invasive recordings](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/invasive) | 7 | Decode movement, muscle activity, handwriting, film conditions, and birdsong from invasive neural recordings. |
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| [Mouse behavior](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/tree/main/tasks/animal-behavior) | 5 | Classify social behavior, transfer annotations and evaluate learned pose representations. |
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Start with [human casino choices](tasks/psychology/psych101-lefebvre2017behavioural-exp1/README.md),
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[MRI age prediction](tasks/mri/brain-age-mri/README.md), or
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The task's `data.lock` pins exact HF commits, file sizes, and SHA-256 digests.
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Native scientific formats remain unchanged.
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Public files are hosted for 116 tasks, including BCI IV-4 and six invasive-recording tasks.
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H1 provides [source download and local preparation instructions](tasks/invasive/falcon-h1-reach-grasp/README.md) because its Data Use Agreement prohibits redistribution.
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The film task's public package supports Agent preparation. Block-first scoring still requires a trusted evaluator mapping that is not hosted here.
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Private evaluation files, owner mappings, and keys are excluded from this data repository.
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## Versions, source terms, and results
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The v1 collection contains 113 new tasks and four retained v0 tasks.
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Individual task versions define scientific protocols. HF commit IDs identify data snapshots.
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Task cards link to versioned source guides. Directory navigation links use the current `main` tree.
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The root LICENSE does not grant an Apache license for all task data.
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BCI IV-4 retains its competition source terms. The film package excludes the copyrighted movie.
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The unified access update entered main through [PR #77](https://github.com/NeuroAIHub/BrainPilotBench/pull/77).
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The mouse task increment is under review in [PR #80](https://github.com/NeuroAIHub/BrainPilotBench/pull/80).
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Its five task cards link to the accepted feature snapshot. HF download-lock binding is delivered through that PR.
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The [data preparation record](https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/docs/data-preparation.md) separates delivery checks from Agent evaluation.
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Earlier immutable data URLs remain available in the publication history.
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catalog.jsonl
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "public_bytes": 886928, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "summary": "Participants type estimates for weather-related event probabilities. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zhu2020bayesian-exp1", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "task_version": "0.2-byte-next-v1", "title": "Modeling Human Weather-Probability Estimates — Experiment 1"}
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "public_bytes": 1742494, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "summary": "Participants type estimates for conditional probabilities of weather-related events. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zhu2020bayesian-exp2", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "task_version": "0.2-byte-next-v1", "title": "Modeling Human Conditional Weather-Probability Estimates"}
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "public_bytes": 5483507, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "summary": "Participants choose rockets to reach planets, then choose aliens to trade with for treasure. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zorowitz2023data-exp1", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "task_version": "0.2-byte-next-v1", "title": "Predicting Human Rocket and Alien Choices for Treasure"}
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "public_bytes": 886928, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "summary": "Participants type estimates for weather-related event probabilities. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zhu2020bayesian-exp1", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zhu2020bayesian-exp1/README.md", "task_version": "0.2-byte-next-v1", "title": "Modeling Human Weather-Probability Estimates — Experiment 1"}
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "public_bytes": 1742494, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "summary": "Participants type estimates for conditional probabilities of weather-related events. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zhu2020bayesian-exp2", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zhu2020bayesian-exp2/README.md", "task_version": "0.2-byte-next-v1", "title": "Modeling Human Conditional Weather-Probability Estimates"}
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{"access": "hosted_public", "agent_results": "not_yet_available", "collection": "v1", "data_category": "psychology", "metric_direction": "minimize", "primary_metric": "mean_response_nll", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/7306cc0b0e8958cc8f84918b68446310d8dbc662/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "public_bytes": 5483507, "public_file_count": 2, "source_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/9d92b6738189d23607478ee1f71bdb6ff567d07b/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "summary": "Participants choose rockets to reach planets, then choose aliens to trade with for treasure. The agent predicts participants' recorded responses from the information available before each response.", "task_id": "psych101-zorowitz2023data-exp1", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/psychology/psych101-zorowitz2023data-exp1/README.md", "task_version": "0.2-byte-next-v1", "title": "Predicting Human Rocket and Alien Choices for Treasure"}
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{"access": "hosted_public", "agent_results": "not_available", "automatic_viewer_dataset": false, "collection": "v1", "data_category": "animal-behavior", "metric_direction": "maximize", "primary_metric": "F1", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/8b59add4c9d02a324f61606ac8db1ccbe7fbe94e/tasks/animal-behavior/calms21-classic-classification/README.md", "public_bytes": 85882472, "public_file_count": 71, "public_readme": "tasks/animal-behavior/calms21-classic-classification/README.md", "public_status": "hosted_public", "source_url": "https://data.caltech.edu/records/s0vdx-0k302", "summary": "Predict attack, investigation, mount or other in every frame from two-mouse pose and confidence. Score mean F1 over the three named behaviors.", "task_id": "calms21-classic-classification", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/animal-behavior/calms21-classic-classification/README.md", "task_version": "0.1-source", "title": "CalMS21 social-behavior classification"}
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{"access": "hosted_public", "agent_results": "not_available", "automatic_viewer_dataset": false, "collection": "v1", "data_category": "animal-behavior", "metric_direction": "maximize", "primary_metric": "F1", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/8b59add4c9d02a324f61606ac8db1ccbe7fbe94e/tasks/animal-behavior/calms21-annotation-style-transfer/README.md", "public_bytes": 98540258, "public_file_count": 31, "public_readme": "tasks/animal-behavior/calms21-annotation-style-transfer/README.md", "public_status": "hosted_public", "source_url": "https://data.caltech.edu/records/s0vdx-0k302", "summary": "Adapt frame-level social-behavior predictions to five annotator definitions. Score behavior F1 within each annotator, then average annotators.", "task_id": "calms21-annotation-style-transfer", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/animal-behavior/calms21-annotation-style-transfer/README.md", "task_version": "0.1-source", "title": "CalMS21 annotation-style transfer"}
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{"access": "hosted_public", "agent_results": "not_available", "automatic_viewer_dataset": false, "collection": "v1", "data_category": "animal-behavior", "metric_direction": "maximize", "primary_metric": "F1", "protocol_url": "https://github.com/NeuroAIHub/BrainPilotBench/blob/8b59add4c9d02a324f61606ac8db1ccbe7fbe94e/tasks/animal-behavior/calms21-few-shot-behavior/README.md", "public_bytes": 37710889, "public_file_count": 18, "public_readme": "tasks/animal-behavior/calms21-few-shot-behavior/README.md", "public_status": "hosted_public", "source_url": "https://data.caltech.edu/records/s0vdx-0k302", "summary": "Learn seven binary behavior targets from limited labeled sequences. Score positive F1 per behavior, then average all seven targets in owner evaluation.", "task_id": "calms21-few-shot-behavior", "task_url": "https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Public/blob/main/tasks/animal-behavior/calms21-few-shot-behavior/README.md", "task_version": "0.1-source", "title": "CalMS21 few-shot behavior classification"}
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| 116 |
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