MSR-VTT

Overview

MSR-VTT is a large-scale open-domain video captioning benchmark for evaluating video-to-text generation. The native adapter groups records by video_id, so multiple annotation rows for one video become one sample with multiple reference captions.

Task Description

• Task Type: Video captioning

• Input: Video clip or URL

• Output: One concise natural-language caption

• Domains: Open-domain video understanding and description

Evaluation Notes

• Default data source: AI-ModelScope/msr-vtt on ModelScope, validation split

• Hugging Face VLM2Vec/MSR-VTT remains available by setting extra_params.dataset_hub="huggingface"

• Primary metric: CIDEr

• Additional metrics: BLEU-1/2/3/4, METEOR, ROUGE-L

• Set extra_params.video_dir to prefer local media files over URL metadata

Properties

Property	Value
Benchmark Name	msr_vtt
Dataset ID	AI-ModelScope/msr-vtt
Paper	Paper
Tags	ImageCaptioning, MultiModal
Metrics	Bleu_1, Bleu_2, Bleu_3, Bleu_4, METEOR, ROUGE_L, CIDEr
Default Shots	0-shot
Evaluation Split	validation

Data Statistics

Metric	Value
Total Samples	497
Prompt Length (Mean)	43 chars
Prompt Length (Min/Max)	43 / 43 chars

Video Statistics:

Metric	Value
Total Videos	497
Videos per Sample	min: 1, max: 1, mean: 1
Formats	mp4

Sample Example

Subset: default

{
  "input": [
    {
      "id": "36044e4b",
      "content": [
        {
          "text": "Describe the video in one concise sentence."
        },
        {
          "video": "https://www.youtube.com/watch?v=A9pM9iOuAzM",
          "format": "mp4",
          "start": 116.03,
          "end": 126.21
        }
      ]
    }
  ],
  "target": "[\"a family is having coversation\"]",
  "id": 0,
  "group_id": 0,
  "metadata": {
    "references": [
      "a family is having coversation"
    ],
    "subset": "default",
    "dataset_id": "AI-ModelScope/msr-vtt",
    "dataset_hub": "modelscope",
    "video": "https://www.youtube.com/watch?v=A9pM9iOuAzM",
    "start": 116.03,
    "end": 126.21,
    "fps": null,
    "video_id": "video6513",
    "category": 14
  }
}

Prompt Template

Prompt Template:

Describe the video in one concise sentence.

Extra Parameters

Parameter	Type	Default	Description
dataset_hub	str	modelscope	Dataset hub used to load MSR-VTT annotations. Choices: [‘huggingface’, ‘modelscope’, ‘local’]
eval_split	str	``	Source split to load; defaults to validation for ModelScope and test for Hugging Face.
dataset_revision	str	``	Optional dataset revision; leave empty to use the hub default.
video_dir	str	``	Optional local directory containing MSR-VTT video files.
video_extension	str	``	Optional extension override for local videos, for example “mp4”.

Usage

Using CLI

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets msr_vtt \
    --limit 10  # Remove this line for formal evaluation

Using Python

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['msr_vtt'],
    dataset_args={
        'msr_vtt': {
            # extra_params: {}  # uses default extra parameters
        }
    },
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)