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Datasets:
wcccp
/
Pano_dataset

Tasks:
Image-to-Text
Visual Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
1M - 10M
Tags:
panoramic
360-degree
vision-language
benchmark
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
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Unexpected token '<', "<html> <h"... is not valid JSON

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PanoSpace-Bench

This repository contains panoramic images and metadata annotations.

Structure

  • images/*.tar: sharded outdoor panoramic images.
  • metadata/indoor-*.jsonl.gz: sharded indoor metadata annotations.
  • metadata/outdoor-*.jsonl.gz: sharded outdoor metadata annotations.
  • metadata/manifest.json: dataset manifest.
  • metadata/summary.json: dataset summary.

Each metadata row preserves the original fields and adds:

  • _source_json: original JSON path in the source dataset.
  • _metadata_split: metadata split name, such as indoor or outdoor.

Notes

Large numbers of small JSON and image files are packed into JSONL.GZ and TAR shards for efficient hosting and downloading.
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Total file size:
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Models trained or fine-tuned on wcccp/Pano_dataset