---
license: unknown
task_categories:
- video-text-to-text
- visual-question-answering
language:
- en
tags:
- video
- captions
- embeddings
- LVBench
- VideoMME
- MLVU
- LongVideoBench
pretty_name: Merged Video Benchmark Captions and Semantic Embeddings
---

# Merged Video Benchmark Captions and Semantic Embeddings

This dataset contains merged semantic caption segments and aligned text embeddings for four video benchmarks from a local DynamicvideoAgentRL/LVU cache. It includes captions and embeddings only, not source videos.

## Files

- `captions.parquet`: one row per caption segment.
- `semantic_vectors.float32.npy`: NumPy array with shape `244909 x 3072`; row `i` matches `captions.parquet` row where `row_id == i`.
- `semantic_norms.float32.npy`: L2 norms aligned by `row_id`.
- `summary.json`: generation metadata and counts.

## Usage

```python
import numpy as np
import pandas as pd

df = pd.read_parquet('captions.parquet')
vecs = np.load('semantic_vectors.float32.npy', mmap_mode='r')
row = df.iloc[0]
embedding = vecs[row.row_id]
```

## Schema

- `row_id`: row index into `semantic_vectors.float32.npy` and `semantic_norms.float32.npy`.
- `benchmark`: one of `LVBench`, `videomme`, `mlvu`, `LongVideoBench`.
- `video_id`: video id under that benchmark.
- `video_key`: joined key `<benchmark>/<video_id>`.
- `doc_id`: original semantic caption key, usually `<start>_<end>`.
- `start_sec`, `end_sec`: segment window in seconds.
- `caption`: merged caption text used by semantic retrieval.
- `clip_caption`: visual caption component when available.
- `ocr_text`: OCR/subtitle text component when available.
- `entities_json`: JSON-encoded entities list.
- `source_json`: JSON-encoded source flags.
- `source_path`: original relative path under `indexes/semantic`.
- `embedding_model`: embedding model recorded in source metadata.
- `embedding_dim`: embedding dimension.

## Counts

```json
{
  "LVBench": {
    "videos": 103,
    "segments": 26048
  },
  "videomme": {
    "videos": 900,
    "segments": 57893
  },
  "mlvu": {
    "videos": 1991,
    "segments": 138184
  },
  "LongVideoBench": {
    "videos": 753,
    "segments": 22784
  }
}
```

Total videos: 3747  
Total segments: 244909  
Embedding model(s): text-embedding-3-large