---
license: bsd-3-clause
task_categories:
- question-answering
---

# UniEQA Dataset
## UniEQA Dataset Directory Structure

```text
|- Part
  |- capability dimension (eg.,object_type)
     |- core
        |- images
        |- data.json
  | - ...
|- ...
```
The UniEQA dataset includes questions, images, and answers, and the question-images-answer pairs are in [data.json](https://huggingface.co/datasets/TJURL-Lab/UniEQA/blob/main/object_type/core/data.json).

## Download Dataset

**Step 1:** Download dataset [UniEQA](https://drive.google.com/drive/folders/1az4jSfFvKU2_SMWksUICBeU1P-tAwWpo?usp=drive_link).

**Step 2:** Download HM3D. The RGB frames for the HM3D episode histories are available in this [third party location](https://www.dropbox.com/scl/fi/t79gsjqlan8dneg7o63sw/open-eqa-hm3d-frames-v0.tgz?rlkey=1iuukwy2g3f5t06q4a3mxqobm) (12 Gb). You can use the following commands to download and extract the data:

```bash
wget -O open-eqa-hm3d-frames-v0.tgz <link above>
md5sum open-eqa-hm3d-frames-v0.tgz  # 286aa5d2fda99f4ed1567ae212998370
tar -xzf open-eqa-hm3d-frames-v0.tgz -C Part1/images
rm open-eqa-hm3d-frames-v0.tgz
```

Afterwards, your directory should look like this:

```text
|- Part1
   |- images
      |- hm3d
         |- 000-hm3d-BFRyYbPCCPE
         |- ...
| - ...
```
**Step 3:** Download [ScanNet](http://www.scan-net.org) by following the instructions [here](https://github.com/ScanNet/ScanNet#scannet-data).

Place the data in `data/raw/scannet`. Afterwards, your directory should look like this:

```text
|- data
   |- raw
      |- scannet
         |- scans
            |- <scanId>
               |- <scanId>.sens
               |- ...
         |- scans_test
            |- <scanId>
               |- <scanId>.sens
               |- ...
|- ...
```

**Step 4:** Extract episode histories $H$ from ScanNet scenes.

You can either only extract RGB frames or extract RGB, depth, camera intrinsics, and camera pose information.

| Format | Size | Extraction Time |
| --- | --- | --- |
| RGB-only | 62 Gb | ~8 hrs|
| RGB-D + Intrinsics + Pose | 70 Gb | ~10 hrs|

To extract only the RGB frames, run:

```bash
python data/raw/scannet/extract-frames.py --rgb-only
```

To extract the RGB, depth, camera intrinsics, and camera pose information, run:

```bash
python data/raw/scannet/extract-frames.py
```

Place the RGB frames in `Part1/images/scannet`. Afterwards, your directory structure should look like this:

```text
|- Part1
   |- images
      |- scannet
         |- 002-scannet-scene0709_00
         |- ...
      |- hm3d
| - ...
```