yyy051007/vision-opd-vqa14k-fullimage-curriculum-v8
Vision-OPD VQA14K Full-Image Curriculum v8 Private single-image visual-question-answering dataset. Split Rows Train 14,000 Diagnostic validation 609 The repository contains 14,609 content-addressed media files (4,580,273,467 bytes). Paths in both Parquet files are relative to the repository root and follow media/<sha256-prefix>/<filename>. from pathlib import Path import pyarrow.parquet as pq from huggingface_hub import snapshot_download root =… See the full description on the dataset page: https://huggingface.co/datasets/yyy051007/vision-opd-vqa14k-fullimage-curriculum-v8.
Vision-OPD VQA14K Full-Image Curriculum v8
Private single-image visual-question-answering dataset.
The repository contains 14,609 content-addressed media files (4,580,273,467 bytes). Paths in both Parquet files are relative to the repository root and follow media/<sha256-prefix>/<filename>.
from pathlib import Path
import pyarrow.parquet as pq
from huggingface_hub import snapshot_download
root = Path(snapshot_download(
repo_id="yyy051007/vision-opd-vqa14k-fullimage-curriculum-v8",
repo_type="dataset",
token=True,
))
row = pq.read_table(root / "train.parquet").slice(0, 1).to_pylist()[0]
image_path = root / row["images"][0]["path"]