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---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: "episodes.csv"
---
# Human Pick-and-Place Dataset
## About
This dataset contains 100 episodes of humans performing the pick-and-place task.
The data captured consists of multiple modalities. These include rgb-color footage, depth footage and gyro-accelerometer data captured using a head mounted camera-IMU unit,
as well as full-body motion capture data recorded by an inertial-based MoCap suit.
## Folder Structure
```
├── episodes.csv
├── [color]
│ ├── [MP4 file]
│ ├── [MP4 file]
│ ├── [MP4 file]
│ └── ...
├── [depth]
│ ├── [JXL file]
│ └── ...
└── ...
```
The above diagram shows the directory layout for this dataset. `episodes.csv` contains high level information on the dataset while the
data files are organized into different folders based on modalities.
## `episodes.csv`
Contains metadata and statistics for this dataset. `episodes.csv` has the following columns (`JSON`s are semicolon separated):
- `episode_id`: `string` unique identifier for episode
- `period`: `int` total period of episode in seconds (rounded to an integer)
- `num_modalities`: `int` number of modalities of data associated with the episode
- `metadata`: `JSON` relevant metadata regarding the episode
- `modalities`: `JSON` information about the different modalities of data collected
View the file in dataviewer for more details.
## Data files
Data files are organized into different folder based on modalities.
Each data file is named after an `episode_id`, which refers to the data file's corresponding episode.
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