tanishas14/benvqa-shards
benvqa shards Per-image Parquet shards for training vision-language models on BigEarthNet.txt. One row = one image: a 12-channel uint8 cube (Sentinel-2 B02 B03 B04 B05 B06 B07 B08 B8A B11 B12 + Sentinel-1 VV VH, 120x120 px at 10 m) plus all of its binary / MCQ / caption annotations (JSON) and its bounding-box annotations (JSON, separate column). Built by benvqa.data.build_shards from BigEarthNet.txt annotations (BIFOLD, CDLA-Permissive-1.0), and BigEarthNet v2.0 imagery, Zenodo… See the full description on the dataset page: https://huggingface.co/datasets/tanishas14/benvqa-shards.
| Author / organization | tanishas14 |
|---|---|
| License (as declared) | cdla-permissive-1.0 |
| Downloads | 429 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 October 2026 |
| Last updated at source | 12 October 2026 |
Popularity, last 2 days
429 now. Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.