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Datasets:
keshavagarwal2004dev
/
GeoZero_Train_Datasets

Tasks:
Visual Question Answering
Image-to-Text
Reinforcement Learning
Modalities:
Image
Text
Geospatial
Formats:
webdataset
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
remote-sensing
earth-observation
satellite-imagery
geospatial
geospatial-reasoning
multimodal
Libraries:
Datasets
WebDataset
License:
Dataset card Data Studio Files
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keshavagarwal2004dev hjvsl commited on
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Duplicate from hjvsl/GeoZero_Train_Datasets

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Co-authored-by: Di Wang <hjvsl@users.noreply.huggingface.co>

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  1. .gitattributes +63 -0
  2. GeoZero-Hard.json +3 -0
  3. GeoZero-Instruct.json +3 -0
  4. GeoZero-Raw.json +3 -0
  5. README.md +150 -0
  6. images/AID-0000.tar +3 -0
  7. images/AID-0001.tar +3 -0
  8. images/DIOR-RSVG-0000.tar +3 -0
  9. images/DIOR-RSVG-0001.tar +3 -0
  10. images/DIOR-RSVG-0002.tar +3 -0
  11. images/EuroSAT-0000.tar +3 -0
  12. images/NASC-TG2-0000.tar +3 -0
  13. images/NWPU-0000.tar +3 -0
  14. images/RSVG-0000.tar +3 -0
  15. images/RSVQA-HR-0000.tar +3 -0
  16. images/RSVQA-HR-0001.tar +3 -0
  17. images/RSVQA-LR-0000.tar +3 -0
  18. images/SkyEye-968k-0000.tar +3 -0
  19. images/SkyEye-968k-0001.tar +3 -0
  20. images/VHM-Instruct-0000.tar +3 -0
  21. images/VHM-Instruct-0001.tar +3 -0
  22. images/VHM-Instruct-0002.tar +3 -0
  23. images/VHM-Instruct-0003.tar +3 -0
  24. images/VHM-Instruct-0004.tar +3 -0
  25. images/VHM-Instruct-0005.tar +3 -0
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  42. images/VHM-Instruct-0022.tar +3 -0
  43. images/VRS-0000.tar +3 -0
  44. images/VRS-0001.tar +3 -0
  45. images/VRS-0002.tar +3 -0
  46. images/VRS-0003.tar +3 -0
  47. images/VRS-0004.tar +3 -0
  48. images/WHU-RS19-0000.tar +3 -0
  49. images/fMoW-RGB-0000.tar +3 -0
  50. images/fMoW-RGB-0001.tar +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.avro filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
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+ GeoZero-Hard.json filter=lfs diff=lfs merge=lfs -text
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1
+ ---
2
+ license: cc-by-nc-sa-4.0
3
+ task_categories:
4
+ - visual-question-answering
5
+ - image-to-text
6
+ - reinforcement-learning
7
+ - feature-extraction
8
+ language:
9
+ - en
10
+ tags:
11
+ - remote-sensing
12
+ - earth-observation
13
+ - satellite-imagery
14
+ - geospatial
15
+ - geospatial-reasoning
16
+ - multimodal
17
+ - visual-question-answering
18
+ - vision-language-model
19
+ - foundation-model
20
+ size_categories:
21
+ - 100K<n<1M
22
+ ---
23
+
24
+ # SFT and RL Traning dataset of GeoZero
25
+
26
+
27
+ ## Dataset Composition
28
+
29
+ GeoZero consists of three variants:
30
+
31
+ | File | Description |
32
+ |------|------------|
33
+ | **GeoZero-Raw.json** | Raw aggregated data across heterogeneous datasets |
34
+ | **GeoZero-Instruct.json** | Unified instruction-tuned dataset for supervised fine-tuning |
35
+ | **GeoZero-Hard.json** | Challenging subset for RL training |
36
+
37
+ All image files are stored under the `images/` directory.
38
+
39
+
40
+
41
+ ## Directory Structure
42
+
43
+ ```
44
+ GeoZero_Train_Datasets/
45
+ ├── images/
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+ │ ├── AID-0000.tar
47
+ │ ├── AID-0001.tar
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+ │ ├── RSVQA-HR-0000.tar
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+ │ ├── ...
50
+ │
51
+ ├── GeoZero-Raw.json
52
+ ├── GeoZero-Instruct.json
53
+ ├── GeoZero-Hard.json
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+ └── Readme.md
55
+ ```
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+
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+ If tar shards are used, each tar file preserves relative paths:
58
+
59
+ ```
60
+ RSVQA-HR/8766.png
61
+ ```
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+
63
+
64
+ ## JSON Format Examples
65
+
66
+ Each JSON file contains a list of samples in the following structure:
67
+
68
+ For GeoZero-Raw.json and GeoZero-Instruct.json:
69
+
70
+ ```json
71
+ {
72
+ "messages": [
73
+ {
74
+ "role": "user",
75
+ "content": "<image>\n[vqa] Is there a residential building on the right of the university?"
76
+ },
77
+ {
78
+ "role": "assistant",
79
+ "content": "no"
80
+ }
81
+ ],
82
+ "images": [
83
+ "RSVQA-HR/8766.png"
84
+ ]
85
+ }
86
+ ```
87
+
88
+ For GeoZero-Hard.json:
89
+
90
+ ```json
91
+ {
92
+ "messages": [
93
+ {
94
+ "role": "system",
95
+ "content": "system prompt"
96
+ },
97
+ {
98
+ "role": "user",
99
+ "content": "<image>\n[vqa] What is the area covered by residential buildings? Give a response of yes or no."
100
+ }
101
+ ],
102
+ "images": ["RSVQA-HR/118.png"],
103
+ "solution": "<answer> 1934m2 </answer>\n",
104
+ "task_type": ["vqa"]
105
+ }
106
+ ```
107
+
108
+
109
+ ## Loading the Dataset
110
+
111
+ ### Load JSON Directly
112
+
113
+ ```python
114
+ import json
115
+
116
+ with open("GeoZero-Instruct.json", "r", encoding="utf-8") as f:
117
+ data = json.load(f)
118
+ ```
119
+
120
+
121
+
122
+ ### Load with Hugging Face Datasets
123
+
124
+ ```python
125
+ from datasets import load_dataset
126
+
127
+ dataset = load_dataset(
128
+ "hjvsl/GeoZero_Train_Datasets",
129
+ data_files="GeoZero-Instruct.json"
130
+ )
131
+ ```
132
+
133
+
134
+ ## Citation
135
+
136
+ If you use GeoZero in your research, please cite:
137
+
138
+ ```bibtex
139
+ @article{wang2025geozero,
140
+ title = {GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes},
141
+ author = {Wang, Di and Liu, Shunyu and Jiang, Wentao and Wang, Fengxiang and Liu, Yi and Qin, Xiaolei and Luo, Zhiming and Zhou, Chaoyang and Guo, Haonan and Zhang, Jing and Du, Bo and Tao, Dacheng and Zhang, Liangpei},
142
+ journal = {arXiv preprint arXiv:2511.22645},
143
+ year = {2025}
144
+ }
145
+ ```
146
+
147
+
148
+ ## Contact
149
+
150
+ Di Wang, Wuhan University, d_wang@whu.edu.cn
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