README.md

---
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---

# 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}
}
```