README.md

metadata

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. It contains 700 simulation videos from 7 physics families. The family shards are loaded together as the default configuration.

Usage

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

@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}
}