metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: image
    - name: obj_text
      sequence: string
    - name: ref_ids
      sequence: int64
    - name: json_data
      list:
        - name: ref_id
          dtype: int64
        - name: text
          sequence: string
    - name: depth_caption
      dtype: string
  splits:
    - name: train
      num_bytes: 69519
      num_examples: 100
  download_size: 40137
  dataset_size: 69519
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Som_bench_refcocog_refseg Dataset

This dataset is a processed version of the RefCOCOg dataset and is intended to be used as part of a benchmark, specifically mirroring the data splits and format used in the Set-of-Mark (SoM) benchmark. It is designed for evaluating visual grounding and related tasks.

Original Dataset:

This dataset is based on the RefCOCOg dataset. Please refer to the original RefCOCOg dataset for its terms of use and licensing.

Benchmark Reference:

This dataset follows the benchmark setup described in the following repository:

Set-of-Mark (SoM) Benchmark

Citation (SoM):

If you use this benchmark setup in your research, please cite the following paper:

@article{{yang2023setofmark,
    title={{Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V}},
    author={{Jianwei Yang and Hao Zhang and Feng Li and Xueyan Zou and Chunyuan Li and Jianfeng Gao}},
    journal={{arXiv preprint arXiv:2310.11441}},
    year={{2023}},
}}