| --- |
| 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 |
|
|
