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animacy lerobot export (53 episodes, 26774 frames)
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---
license: cc-by-4.0
task_categories:
- robotics
tags:
- LeRobot
- animacy
- expressive-robots
- vla
- lamp
configs:
- config_name: default
data_files: data/*/*.parquet
---
# squaredcuber/animacy-lamp-lerobot
Human conversational motion retargeted to **animacy/lamp** as a LeRobot v3.0 dataset, produced by
[animacy](https://github.com/Hcoder10/animacy) (`scripts/export_lerobot.py`). The robot joint
vector is `observation.state`, the next frame is `action`, and every frame carries the
speech features, the speaking flag and the canonical human channels it was computed from,
so the same dataset trains robot-space and human-space policies.
**53 episodes, 26774 frames at 30 fps (14.9 min), 5 task strings.**
```python
from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("squaredcuber/animacy-lamp-lerobot")
item = ds[0] # observation.state, action, observation.human, observation.audio_features, observation.speaking, ...
```
## Features
| key | dtype | shape | names |
|---|---|---|---|
| `observation.state` | float32 | [5] | base_yaw, base_pitch, elbow_pitch, wrist_roll, wrist_pitch |
| `action` | float32 | [5] | base_yaw, base_pitch, elbow_pitch, wrist_roll, wrist_pitch |
| `observation.human` | float32 | [14] | head_yaw, head_pitch, head_roll, head_x, head_y, head_z, brow_l, brow_r, ... |
| `observation.audio_features` | float32 | [66] | mel_00, mel_01, mel_02, mel_03, mel_04, mel_05, mel_06, mel_07, ... |
| `observation.speaking` | float32 | [1] | |
| `observation.environment_state` | float32 | [67] | mel_00, mel_01, mel_02, mel_03, mel_04, mel_05, mel_06, mel_07, ... |
| `timestamp` | float32 | [1] | |
| `frame_index` | int64 | [1] | |
| `episode_index` | int64 | [1] | |
| `index` | int64 | [1] | |
| `task_index` | int64 | [1] | |
## Episodes
One episode per contiguous face-tracked run (>= 3 s) of a source clip, split into pieces of
<= 20 s. `action[t] = observation.state[t+1]` inside a run (the run's last frame holds).
Joint values are in the robot's own units (see the `names` and the robot's `ROBOT.md`).
`observation.environment_state` duplicates the speech features + speaking flag under the key
lerobot's ACT / Diffusion policies require when there is no camera.
## Sources and licenses
| clip | episodes | frames | license | source |
|---|---|---|---|---|
| cbp_vlog_day2 | 2 | 783 | Public Domain | [Video Blog- CBP Super Bowl LII Countdown to Kickoff - Day 2.webm](https://commons.wikimedia.org/wiki/File:Video_Blog-_CBP_Super_Bowl_LII_Countdown_to_Kickoff_-_Day_2.webm) |
| kende_interview_2014 | 12 | 6112 | CC-BY-3.0 | [Internet Hall of Fame 2014 Michael Kende interview.webm](https://commons.wikimedia.org/wiki/File:Internet_Hall_of_Fame_2014_Michael_Kende_interview.webm) |
| obama_2014_09_13 | 12 | 6708 | Public Domain | [2014-09-13 President Obama's Weekly Address.webm](https://commons.wikimedia.org/wiki/File:2014-09-13_President_Obama%27s_Weekly_Address.webm) |
| obama_2015_02_07 | 9 | 5341 | Public Domain | [2015-02-07 President Obama's Weekly Address.webm](https://commons.wikimedia.org/wiki/File:2015-02-07_President_Obama%27s_Weekly_Address.webm) |
| royal_society_cloke | 16 | 7253 | CC-BY-3.0 | [Interview on extreme weather with physical geographer Hannah Cloke – The Royal Society.webm](https://commons.wikimedia.org/wiki/File:Interview_on_extreme_weather_with_physical_geographer_Hannah_Cloke_%E2%80%93_The_Royal_Society.webm) |
| sd_rapper_interview | 2 | 577 | Public Domain | [Local San Diego Rapper Interview](https://archive.org/details/Chuck_San_Diego_LocalRapper) |
Source videos are public-domain or CC-BY works (license evidence is recorded per clip in the
animacy human-motion dataset); the derived motion is released CC-BY-4.0 with attribution to the
sources above. No no-derivatives or non-commercial material is included by construction.
## meta/info.json
```json
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
5
],
"names": [
"base_yaw",
"base_pitch",
"elbow_pitch",
"wrist_roll",
"wrist_pitch"
]
},
"action": {
"dtype": "float32",
"shape": [
5
],
"names": [
"base_yaw",
"base_pitch",
"elbow_pitch",
"wrist_roll",
"wrist_pitch"
]
},
"observation.human": {
"dtype": "float32",
"shape": [
14
],
"names": [
"head_yaw",
"head_pitch",
"head_roll",
"head_x",
"head_y",
"head_z",
"brow_l",
"brow_r",
"brow_furrow",
"torso_lean_fwd",
"torso_lean_side",
"torso_yaw",
"mouth_open",
"smile"
]
},
"observation.audio_features": {
"dtype": "float32",
"shape": [
66
],
"names": [
"mel_00",
"mel_01",
"mel_02",
"mel_03",
"mel_04",
"mel_05",
"mel_06",
"mel_07",
"mel_08",
"mel_09",
"mel_10",
"mel_11",
"mel_12",
"mel_13",
"mel_14",
"mel_15",
"mel_16",
"mel_17",
"mel_18",
"mel_19",
"mel_20",
"mel_21",
"mel_22",
"mel_23",
"mel_24",
"mel_25",
"mel_26",
"mel_27",
"mel_28",
"mel_29",
"mel_30",
"mel_31",
"mel_32",
"mel_33",
"mel_34",
"mel_35",
"mel_36",
"mel_37",
"mel_38",
"mel_39",
"mel_40",
"mel_41",
"mel_42",
"mel_43",
"mel_44",
"mel_45",
"mel_46",
"mel_47",
"mel_48",
"mel_49",
"mel_50",
"mel_51",
"mel_52",
"mel_53",
"mel_54",
"mel_55",
"mel_56",
"mel_57",
"mel_58",
"mel_59",
"mel_60",
"mel_61",
"mel_62",
"mel_63",
"log_energy",
"delta_log_energy"
]
},
"observation.speaking": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"observation.environment_state": {
"dtype": "float32",
"shape": [
67
],
"names": [
"mel_00",
"mel_01",
"mel_02",
"mel_03",
"mel_04",
"mel_05",
"mel_06",
"mel_07",
"mel_08",
"mel_09",
"mel_10",
"mel_11",
"mel_12",
"mel_13",
"mel_14",
"mel_15",
"mel_16",
"mel_17",
"mel_18",
"mel_19",
"mel_20",
"mel_21",
"mel_22",
"mel_23",
"mel_24",
"mel_25",
"mel_26",
"mel_27",
"mel_28",
"mel_29",
"mel_30",
"mel_31",
"mel_32",
"mel_33",
"mel_34",
"mel_35",
"mel_36",
"mel_37",
"mel_38",
"mel_39",
"mel_40",
"mel_41",
"mel_42",
"mel_43",
"mel_44",
"mel_45",
"mel_46",
"mel_47",
"mel_48",
"mel_49",
"mel_50",
"mel_51",
"mel_52",
"mel_53",
"mel_54",
"mel_55",
"mel_56",
"mel_57",
"mel_58",
"mel_59",
"mel_60",
"mel_61",
"mel_62",
"mel_63",
"log_energy",
"delta_log_energy",
"speaking"
]
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
},
"total_episodes": 53,
"total_frames": 26774,
"total_tasks": 5,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null,
"robot_type": "animacy/lamp",
"splits": {
"train": "0:53"
}
}
```