---
dataset_info:
- config_name: buoyancy
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 148682030
    num_examples: 100
  download_size: 148682030
  dataset_size: 148682030
- config_name: cavity
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 163880129
    num_examples: 100
  download_size: 163880129
  dataset_size: 163880129
- config_name: external_aero
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 100234954
    num_examples: 100
  download_size: 100234954
  dataset_size: 100234954
- config_name: external_wake
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 101941874
    num_examples: 100
  download_size: 101941874
  dataset_size: 101941874
- config_name: internal_step
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 92239715
    num_examples: 100
  download_size: 92239715
  dataset_size: 92239715
- config_name: jet_axi
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 75538427
    num_examples: 100
  download_size: 75538427
  dataset_size: 75538427
- config_name: scalar_transport
  features:
  - name: query_id
    dtype: string
  - name: case_id
    dtype: string
  - name: raw_text
    dtype: string
  - name: parsed_text
    dtype: string
  - name: video
    dtype: video
  splits:
  - name: test
    num_bytes: 39066640
    num_examples: 100
  download_size: 39066640
  dataset_size: 39066640
---

# World Embedding Fluid Retrieval

World Embedding Fluid Retrieval is the fluid mechanics retrieval split of the
[World Embedding Benchmark](https://arxiv.org/pdf/2610.03632). It contains
700 simulation videos from 7 physics families. The family shards are loaded
together as the default configuration.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset(
    "World-Representation-Lab/World-Embedding-Fluid-Retrieval",
    split="test",
)
```

## Fields

- `query_id`: unique text-query identifier.
- `case_id`: simulation case identifier.
- `raw_text`: structured physical description.
- `parsed_text`: natural-language retrieval caption.
- `video`: simulation video.

The benchmark uses `parsed_text` for text-video retrieval.

## Citation

```bibtex
@misc{liu2026worldembeddingbenchmark,
  title         = {World Embedding Benchmark},
  author        = {Yiqi Liu and Ruifeng Yuan and Yang Wang and Long Li and Fengyu Cai and Hou Pong Chan and Jialin Yu and Hao Zhang and Chenghua Lin and Chenghao Xiao},
  year          = {2026},
  eprint        = {2610.03632},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url           = {https://arxiv.org/abs/2610.03632}
}
```