Datasets:
File size: 2,614 Bytes
fb43a97 7cb6d5e fb43a97 7cb6d5e fb43a97 7cb6d5e fb43a97 7cb6d5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | ---
pretty_name: VidNum-1.4K
language:
- en
- zh
license: other
task_categories:
- question-answering
task_ids:
- visual-question-answering
- multiple-choice-qa
size_categories:
- 1K<n<10K
annotations_creators:
- expert-generated
tags:
- video
- counting
- numerical reasoning
configs:
- config_name: default
data_files:
- split: train
path: VidNum1_4K.jsonl
---
# VidNum-1.4K
VidNum-1.4K is a multiple-choice video-based numerical reasoning QA benchmark.
Each sample contains a source video link, a timestamp clip range, a question, four choices, and one gold answer.
## Dataset Summary
- Annotation file: `VidNum1_4K.jsonl`
- Number of QA samples: `1379`
- Source video URLs and timestamps are provided as the canonical benchmark reference.
- Optional temporary validation clips may be provided for academic reproducibility and benchmark verification purposes.
**Annotations & metadata**: CC-BY-4.0
**Code**: MIT
**Original videos**: subject to original copyright owners/platform terms
## Task
- Primary task: video counting question answering
- Format: 4-way multiple choice (`A/B/C/D`)
- Reasoning labels: `none`, `calculation`, `comparison`, `logic`, `mixed`, `estimation`
## Data Fields
The JSONL contains the following keys:
- `ID`: integer sample id
- `Video Source Link`: source URL of the original video
- `Video_path`: corresponding video file.
- `Category`: top-level category
- `Sub-Category`: fine-grained category
- `Timestamp`: clip range in `mm:ss-mm:ss`
- `question`: English question text
- `option_A`: option A
- `option_B`: option B
- `option_C`: option C
- `option_D`: option D
- `Answer`: correct option in `{A, B, C, D}`
- `Level`: difficulty level in `{1, 2, 3}`
- `Reasoning_Type`: reasoning tag
- `Count_Scope`: counting scope tag
## License & Access
VidNum-1.4K is constructed from publicly accessible online videos collected for academic research purposes.
The benchmark annotations, metadata, timestamps, and evaluation protocols are released under the CC BY 4.0 License.
The source code is released under the MIT License.
Copyright of the original videos remains with their respective copyright owners and hosting platforms. The temporary hosted video clips are provided solely for benchmark validation, reproducibility, and academic research convenience during the review/research process, and do not imply relicensing or ownership transfer.
The canonical benchmark release consists of:
* source video URLs
* timestamps
* annotations
* metadata
* evaluation scripts
If any copyright owner requests removal of specific content, we will promptly comply.
|