README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: messages
      list:
        - name: content
          list:
            - name: index
              dtype: int64
            - name: text
              dtype: string
            - name: type
              dtype: string
        - name: role
          dtype: string
  splits:
    - name: train
      num_bytes: 2393634762.584
      num_examples: 6378
  download_size: 2975326101
  dataset_size: 2393634762.584
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
original_dataset_id: Voxel51/MPII_Human_Pose_Dataset
processing_description: >-
  Filtered missing body keypoint annotations, reformatted keypoint coordinates
  for Molmo
source_datasets:
  - extended
tags:
  - remyx
pretty_name: PoseText
size_categories:
  - 1K<n<10K

Dataset Card for the PoseText Dataset

The PoseText Dataset can be used to enhance vision-language model performance in the task of human pose estimation.

Dataset Details

Dataset Description

Parsing body keypoints from the Voxel51/MPII_Human_Pose_Dataset, parsing into a text-based format used in Molmo

import re
import numpy as np

def extract_points(molmo_output, image_w, image_h):
    all_points = []
    for match in re.finditer(r'x\d*="\s*([0-9]+(?:\.[0-9]+)?)"\s+y\d*="\s*([0-9]+(?:\.[0-9]+)?)"', molmo_output):
        try:
            point = [float(match.group(i)) for i in range(1, 3)]
        except ValueError:
            pass
        else:
            point = np.array(point)
            if np.max(point) > 100:
                # Treat as an invalid output
                continue
            point /= 100.0
            point = point * np.array([image_w, image_h])
            all_points.append(point)
    return all_points

• Curated by: [remyx.ai]
• Language(s) (NLP): [en]

Citation

If you found this resource useful, please consider citing:

@misc{posetext2024,
  title={PoseText},
  author={Terry Rodriguez and Salma Mayorquin},
  organization={Remyx AI},
  year={2024},
  month={September},
  note = {Dataset},
  url = {https://huggingface.co/datasets/salma-remyx/PoseText}
}