Datasets:

JOHNNYlee1
/

LabOPBench

Tasks:

Visual Question Answering

Languages:

English

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    ValueError
Message:      Some splits are duplicated in data_files: ['test', 'test', 'test', 'test', 'test']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 646, in get_module
                  patterns = sanitize_patterns(next(iter(metadata_configs.values()))["data_files"])
                File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 151, in sanitize_patterns
                  raise ValueError(f"Some splits are duplicated in data_files: {splits}")
              ValueError: Some splits are duplicated in data_files: ['test', 'test', 'test', 'test', 'test']

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LabOPBench

LabOPBench is a benchmark for evaluating multimodal large language models in realistic laboratory scenarios. It is designed to assess their capabilities in experimental workflow reasoning, safety and anomaly assessment, operational decision-making, and result analysis.

This private partial release contains 100 questions: 20 examples from each major category. Each record includes the question, image path(s), and A-D scoring answers. The full benchmark will be expanded after the paper is released.

Files

data/Experiment_Character.jsonl
data/Experiment_Monitor.jsonl
data/Experiment_Postprocess.jsonl including TLC examples
data/Experiment_Preparation.jsonl
data/material_science.jsonl
images/ contains all referenced PNG files
examples/evaporation_example.json is a qualitative model-response example and is not part of the formal HF dataset configs

Data Format

Each JSONL row uses this structure:

{
  "id": "...",
  "major_category": "Experiment_Postprocess",
  "category": "TLC",
  "item_no": "TLC_001",
  "question": "...",
  "image": ["TLC/TLC_001_01.png"],
  "answers": ["A: ... (3 points)", "B: ... (2 points)", "C: ... (1 point)", "D: ... (0 points)"]
}

The image entries are relative paths under the repository's images/ directory.

Quick Start

For private access, log in first:

hf auth login

Download the dataset repository and run an evaluation:

git clone https://github.com/johnnylee00/LabOPBench.git
cd LabOPBench
python -m pip install -e ".[openai]"

export OPENAI_API_KEY="<your-api-key>"
export OPENAI_BASE_URL="<your-base-url>"
MODEL="<model-name>"

hf download JOHNNYlee1/LabOPBench --repo-type dataset --local-dir data/LabOPBench

labopbench run   --data data/LabOPBench/data/Experiment_Postprocess.jsonl   --image-base-dir data/LabOPBench/images   --model-name "$MODEL"   --out outputs/experiment_postprocess_answers.json

labopbench score   --pred outputs/experiment_postprocess_answers.json   --data data/LabOPBench/data/Experiment_Postprocess.jsonl   --out outputs/experiment_postprocess_scores.json

Release Note

This is an initial private release for repository setup and workflow validation. It should not be treated as the complete benchmark or as a hidden-test leaderboard set.

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Total file size:

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