Search is not available for this dataset
recording_id int32 1 9k | time_ms int32 41 4.52M | slot int8 0 6 | quat_x float32 -21,466,246,545,408 23,074,567,239,328,775,000,000,000,000B | quat_y float32 -623,876,778,203,523,560,000,000,000,000,000,000 155,916,886,216,513,070,000,000,000,000B | quat_z float32 -3,900,237,645,999,203,700,000,000,000,000,000,000 56,897,338,479,367,310,000,000,000B | quat_w float32 -264,080,542,743,635,000,000,000,000,000,000,000,000 1,810,758B | accel_x float32 -94.37 392,018,412,819,379,460,000,000,000B ⌀ | accel_y float32 -106.42 702,722,686,294B ⌀ | accel_z float32 -9,213,415,784,102,936,000,000,000,000,000,000 32,149,720B ⌀ | gyro_x float32 -45,913,662,272,686,550,000,000 59,589,397,551,118,390,000,000,000B ⌀ | gyro_y float32 -686,551,642,267,357,600,000,000,000,000,000 115,890,320,817,153,590,000B ⌀ | gyro_z float32 -36,018,311,735,247,580,000,000,000,000,000,000,000 66,706,137,888,915,680,000,000B ⌀ | mag_x float32 -866,256,098,276,317,400,000,000,000,000 158,335,563,561,748,540,000,000,000,000B ⌀ | mag_y float32 -5,544,480,896,191,204,000,000,000,000,000,000 66,696,253,711,414,510,000,000B ⌀ | mag_z float32 -7,092,650,254,270,670,000,000,000,000,000,000,000 68,273,264,676,376,380,000,000,000B ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 42 | 6 | -0.545898 | 0.05835 | 0.601624 | 0.580139 | null | null | null | null | null | null | null | null | null |
1 | 42 | 5 | -0.328552 | 0.332703 | -0.452393 | 0.759399 | null | null | null | null | null | null | null | null | null |
1 | 42 | 2 | -0.485657 | -0.460022 | 0.440796 | 0.598511 | null | null | null | null | null | null | null | null | null |
1 | 42 | 0 | -0.30426 | -0.297546 | 0.0224 | 0.904663 | null | null | null | null | null | null | null | null | null |
1 | 42 | 1 | -0.069641 | -0.474976 | -0.046875 | 0.875977 | null | null | null | null | null | null | null | null | null |
1 | 42 | 3 | 0.153625 | 0.24408 | 0.032166 | 0.95697 | null | null | null | null | null | null | null | null | null |
1 | 42 | 4 | -0.044128 | 0.441772 | 0.426636 | 0.787964 | null | null | null | null | null | null | null | null | null |
1 | 83 | 6 | -0.543335 | 0.064453 | 0.596252 | 0.587463 | null | null | null | null | null | null | null | null | null |
1 | 83 | 5 | -0.28302 | 0.387268 | -0.502258 | 0.719543 | null | null | null | null | null | null | null | null | null |
1 | 83 | 2 | -0.489746 | -0.45575 | 0.444397 | 0.595764 | null | null | null | null | null | null | null | null | null |
1 | 83 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 83 | 1 | -0.079529 | -0.473938 | -0.036377 | 0.87616 | null | null | null | null | null | null | null | null | null |
1 | 83 | 3 | 0.150818 | 0.325745 | 0.006104 | 0.93335 | null | null | null | null | null | null | null | null | null |
1 | 83 | 4 | 0.002258 | 0.453796 | 0.417664 | 0.78717 | null | null | null | null | null | null | null | null | null |
1 | 124 | 6 | -0.541016 | 0.076965 | 0.580078 | 0.604065 | null | null | null | null | null | null | null | null | null |
1 | 124 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 124 | 2 | -0.493774 | -0.451477 | 0.442627 | 0.597046 | null | null | null | null | null | null | null | null | null |
1 | 124 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 124 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 124 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 124 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 165 | 6 | -0.541016 | 0.076965 | 0.580078 | 0.604065 | null | null | null | null | null | null | null | null | null |
1 | 165 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 165 | 2 | -0.493774 | -0.451477 | 0.442627 | 0.597046 | null | null | null | null | null | null | null | null | null |
1 | 165 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 165 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 165 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 165 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 206 | 6 | -0.539673 | 0.077209 | 0.578735 | 0.606506 | null | null | null | null | null | null | null | null | null |
1 | 206 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 206 | 2 | -0.494446 | -0.451538 | 0.445679 | 0.594116 | null | null | null | null | null | null | null | null | null |
1 | 206 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 206 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 206 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 206 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 247 | 6 | -0.53772 | 0.080444 | 0.574097 | 0.612183 | null | null | null | null | null | null | null | null | null |
1 | 247 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 247 | 2 | -0.494446 | -0.451538 | 0.445679 | 0.594116 | null | null | null | null | null | null | null | null | null |
1 | 247 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 247 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 247 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 247 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 288 | 6 | -0.537842 | 0.083252 | 0.571472 | 0.614197 | null | null | null | null | null | null | null | null | null |
1 | 288 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 288 | 2 | -0.493958 | -0.452209 | 0.446411 | 0.593506 | null | null | null | null | null | null | null | null | null |
1 | 288 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 288 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 288 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 288 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 329 | 6 | -0.538147 | 0.084839 | 0.569275 | 0.615784 | null | null | null | null | null | null | null | null | null |
1 | 329 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 329 | 2 | -0.493958 | -0.452209 | 0.446411 | 0.593506 | null | null | null | null | null | null | null | null | null |
1 | 329 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 329 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 329 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 329 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 370 | 6 | -0.537842 | 0.08551 | 0.567383 | 0.617676 | null | null | null | null | null | null | null | null | null |
1 | 370 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 370 | 2 | -0.493958 | -0.452209 | 0.446411 | 0.593506 | null | null | null | null | null | null | null | null | null |
1 | 370 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 370 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 370 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 370 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 411 | 6 | -0.537842 | 0.08551 | 0.567383 | 0.617676 | null | null | null | null | null | null | null | null | null |
1 | 411 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 411 | 2 | -0.493958 | -0.452209 | 0.446411 | 0.593506 | null | null | null | null | null | null | null | null | null |
1 | 411 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 411 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 411 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 411 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 452 | 6 | -0.537537 | 0.086304 | 0.566162 | 0.618958 | null | null | null | null | null | null | null | null | null |
1 | 452 | 5 | -0.273132 | 0.400269 | -0.514771 | 0.707275 | null | null | null | null | null | null | null | null | null |
1 | 452 | 2 | -0.493958 | -0.452209 | 0.446411 | 0.593506 | null | null | null | null | null | null | null | null | null |
1 | 452 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 452 | 1 | -0.087402 | -0.47406 | -0.040771 | 0.875183 | null | null | null | null | null | null | null | null | null |
1 | 452 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 452 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 493 | 6 | -0.537537 | 0.086121 | 0.565613 | 0.619446 | null | null | null | null | null | null | null | null | null |
1 | 493 | 5 | -0.270691 | 0.405212 | -0.51825 | 0.70282 | null | null | null | null | null | null | null | null | null |
1 | 493 | 2 | -0.491943 | -0.454773 | 0.446472 | 0.59314 | null | null | null | null | null | null | null | null | null |
1 | 493 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 493 | 1 | -0.054565 | -0.478149 | 0.030884 | 0.876038 | null | null | null | null | null | null | null | null | null |
1 | 493 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 493 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 534 | 6 | -0.537537 | 0.086121 | 0.565613 | 0.619446 | null | null | null | null | null | null | null | null | null |
1 | 534 | 5 | -0.270691 | 0.405212 | -0.51825 | 0.70282 | null | null | null | null | null | null | null | null | null |
1 | 534 | 2 | -0.491943 | -0.454773 | 0.446472 | 0.59314 | null | null | null | null | null | null | null | null | null |
1 | 534 | 0 | -0.315369 | -0.29657 | 0.026062 | 0.901062 | null | null | null | null | null | null | null | null | null |
1 | 534 | 1 | -0.054565 | -0.478149 | 0.030884 | 0.876038 | null | null | null | null | null | null | null | null | null |
1 | 534 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 534 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 575 | 6 | -0.537842 | 0.08197 | 0.565918 | 0.619446 | null | null | null | null | null | null | null | null | null |
1 | 575 | 5 | -0.270691 | 0.405212 | -0.51825 | 0.70282 | null | null | null | null | null | null | null | null | null |
1 | 575 | 2 | -0.491089 | -0.455017 | 0.448242 | 0.592346 | null | null | null | null | null | null | null | null | null |
1 | 575 | 0 | -0.327881 | -0.296082 | 0.024963 | 0.89679 | null | null | null | null | null | null | null | null | null |
1 | 575 | 1 | -0.05365 | -0.477722 | 0.032043 | 0.876282 | null | null | null | null | null | null | null | null | null |
1 | 575 | 3 | 0.158691 | 0.345398 | 0.001953 | 0.924927 | null | null | null | null | null | null | null | null | null |
1 | 575 | 4 | 0.035889 | 0.45752 | 0.397217 | 0.794739 | null | null | null | null | null | null | null | null | null |
1 | 616 | 6 | -0.537903 | 0.080994 | 0.565308 | 0.620117 | null | null | null | null | null | null | null | null | null |
1 | 616 | 5 | -0.270691 | 0.405212 | -0.51825 | 0.70282 | null | null | null | null | null | null | null | null | null |
End of preview. Expand in Data Studio
Eidon Tracker POV: IMU
24 Hz orientation and motion data from a seven-point IMU harness, paired with the egocentric
video in eidon-ai/tracker-pov.
One row per (recording, timestamp, body slot), roughly 780 million rows. Join to the video
metadata on recording_id.
This repo holds the sensor data only. There is no video here.
The release sits in three places:
Contents Size tracker-povthe 13,451 MP4s and metadata.parquet9.05 TB this repo ( tracker-pov-imu)the IMU streams, 779M rows, same recordings 9.5 GB egocentric-povextra video with no sensor data. A bucket, so load_datasetdoes not reach it1.55 TB The first two are one dataset in two pieces, joined on
recording_id. The video is intracker-pov, and the organization page has the overview.
Schema
| Column | Type | Description |
|---|---|---|
recording_id |
int32 | joins to metadata.parquet in the video repo |
time_ms |
int32 | milliseconds from the start of the recording |
slot |
int8 | body slot, 0 to 6 |
quat_x, quat_y, quat_z, quat_w |
float32 | orientation quaternion |
accel_x/y/z |
float32 | accelerometer, m/s² (null on most recordings) |
gyro_x/y/z |
float32 | gyroscope, rad/s (null on most recordings) |
mag_x/y/z |
float32 | magnetometer, µT (null on most recordings) |
| Slot | Position | Slot | Position |
|---|---|---|---|
| 0 | left_hand |
4 | right_forearm |
| 1 | left_forearm |
5 | right_shoulder |
| 2 | left_shoulder |
6 | chest |
| 3 | right_hand |
The chest sensor is the natural reference frame: composing chest⁻¹ · limb gives torso-relative
arm pose, invariant to which way the wearer is facing.
Usage
from datasets import load_dataset
imu = load_dataset("eidon-ai/tracker-pov-imu", split="train", streaming=True)
Shards are written in ascending recording_id order and a recording is never split across two
shards, so shard_index.json lets you fetch one recording without scanning the set:
import json, pandas as pd
from huggingface_hub import hf_hub_download
idx = json.load(open(hf_hub_download("eidon-ai/tracker-pov-imu", "shard_index.json",
repo_type="dataset")))
rid = 4211
shard = next(s["shard"] for s in idx
if s["first_recording_id"] <= rid <= s["last_recording_id"])
df = pd.read_parquet(f"hf://datasets/eidon-ai/tracker-pov-imu/{shard}",
filters=[("recording_id", "=", rid)])
pose = df.pivot(index="time_ms", columns="slot",
values=["quat_x", "quat_y", "quat_z", "quat_w"])
Caveats
Raw motion covers a minority of recordings. Accelerometer, gyroscope and magnetometer readings
follow a per-contributor opt-in, and 2,841 of 13,451 recordings (21.1%) carry them. Everywhere
else those columns are null, though orientation quaternions are present throughout. Filter on
has_raw_motion in the video repo's metadata.parquet.
A few recordings have an incomplete rig. 129 of 13,451 stream fewer than seven slots, sometimes
missing the chest sensor that torso-relative pose depends on. n_slots and has_chest in
metadata.parquet let you filter.
Timestamps are relative to the start of each recording rather than wall clock.
Provenance, licence, citation
See the main dataset card. Published under CC-BY-4.0 by Solidic Labs Inc (Eidon AI). For removal requests, contact padilla.samuelk@gmail.com.
- Downloads last month
- 95