datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bitwise-opsagenttune-agent-ops-SFT-qwen3-0.6b-tracesquick332323_2025-08-14T15-33-34This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1788,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/opstechie/quick332323_2025-08-14T15-33-34.agenttune-agent-ops-GRPO-tracesdragtrack-ops-data
DragTrack Ops Data
Snapshot of the DRAGTRACK_ROOT data tree produced by the
DragTrack thermospheric density pipeline.
Snapshot date: 2026-08-20
Reference
Gershman (2026), NASA-TM/20260006171 — Enabling Near-Real-Time Thermospheric
Density Monitoring.
Contents
Per-NORAD tree (bundled as tarballs — 57k+ files each; extract after download):
Path
Extract to
Content
tles_raw.tar
<root>/tles/raw/
Per-NORAD raw element rows from Space-Track (v6… See the full description on the dataset page: https://huggingface.co/datasets/djgersh/dragtrack-ops-data.teset2_2025-08-13T11-51-48This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1921,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/opstechie/teset2_2025-08-13T11-51-48.extra_2025-08-12T23-39-19This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 2,
"total_frames": 894,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/opstechie/extra_2025-08-12T23-39-19.tensortrust-datasetsQuick_test_quick_2025-08-13T15-04-32This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1921,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/opstechie/Quick_test_quick_2025-08-13T15-04-32.Quick_test_quick77_2025-08-13T23-20-40This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so_arm100",
"total_episodes": 4,
"total_frames": 1921,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/opstechie/Quick_test_quick77_2025-08-13T23-20-40.ds_with_opsopsd_edge_dataset
OPSD Edge Dataset (Paper-Faithful)
Edge prompts for On-Policy Self-Distillation training on Nemotron-3-Nano.
Paper Reference
"Self-Distilled Reasoner: On-Policy Self-Distillation for LLMs"
Paper: arXiv:2601.18734
Code: github.com/siyan-zhao/OPSD
Dataset Description
This dataset contains 1,782 "edge" prompts where the 0.83 Nemotron adapter achieves 25-75% pass rate (uncertain cases ideal for learning).
Paper-Faithful Format
From Figure 2 of the OPSD… See the full description on the dataset page: https://huggingface.co/datasets/dvyomkesh/opsd_edge_dataset.opsnet-reportcleaned-merged-opsmem_agent-bertscore-rl-memoryagent-14b-gsminf-ops_6-c4096-t2048-20s-agnosticgsm_infinite_hard_ops16mem_agent-bertscore-rl-memoryagent-14b-gsminf-ops_12-c4096-t2048-20s-agnosticmem_agent-bertscore-rl-memoryagent-14b-gsminf-ops_18-c4096-t2048-20s-agnosticmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c27000-t2048-10s-agnosticmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c4096-t2048-10s-agnostic-nocontextmem_agent-model_based-memagent-1-5b-step1024-gsminf-ops_12-c4096-t2048-10s-agnosticmem_agent-model_based-memagent-1-5b-step1024-gsminf-ops_12-c4096-t2048-1000s-agnosticD1D2_Fundamental
MitoPark Striatal Neural-Locomotion Dataset
Overview
High-density extracellular recordings from mouse brain during treadmill locomotion, designed for neural decoding of movement kinematics.
Subsets
Subset
Description
Rows
noBin
Raw spikes (session, neuron_id, spike_time, speed)
130,321,346
1ms
Binned at 1ms
-
2ms
Binned at 2ms
-
5ms
Binned at 5ms
-
10ms
Binned at 10ms
-
25ms
Binned at 25ms
-
50ms
Binned at 50ms
-
100ms
Binned at 100ms
-… See the full description on the dataset page: https://huggingface.co/datasets/opsecsystems/D1D2_Fundamental.sec_opsmem_agent-bertscore-rl-memoryagent-14b-gsminf-ops_2-c4096-t2048-20s-agnosticmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c4096-t2048-20s-agnostic-fullcontextmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c4096-t2048-1000s-agnostic-fullcontextmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c4096-t2048-1000s-agnosticmem_agent-model_based-rl-memoryagent-14b-gsminf-ops_12-c4096-t2048-1000s-agnosticmem_agent-model_based-rl-memoryagent-7b-gsminf-ops_12-c32000-t2048-1000s-agnostic