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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_51_83
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_51_83
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_54_90
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_54_90
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_55_81
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_55_81
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_56_88
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_56_88
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_58_85
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_58_85
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_59_78
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_59_78
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_59_80
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_59_80
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_59_81
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_59_81
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_61_90
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_61_90
train
Austria
Summer
Cold, no dry season, warm summer
true
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S2A_MSIL2A_20170613T101031_N9999_R022_T33UUP_64_86
S1B_IW_GRDH_1SDV_20170612T165809_33UUP_64_86
train
Austria
Summer
Cold, no dry season, warm summer
true
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"[{\"id\":31808,\"type\":\"bounding box\",\"category\":\"point\",\"input\":\"Generate a bounding box(...TRUNCATED)
End of preview. Expand in Data Studio

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 record 10891137 (CDLA-Permissive-1.0).

Encoding parameters: meta/quantization.json. Shard statistics: meta/shard_index.json. Test-split images are not included.

Attribution

J. Herzog, M. Adler, L. Hackel, Y. Shu, A. Zavras, I. Papoutsis, P. Rota, B. Demir, "BigEarthNet.txt: A Large-Scale Multi-Sensor Image-Text Dataset and Benchmark for Earth Observation", arXiv:2603.29630, 2026.

K. N. Clasen, L. Hackel, T. Burgert, G. Sumbul, B. Demir, V. Markl, "reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis", IGARSS 2025.

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