Upload folder using huggingface_hub

.gitattributes

@@ -1,60 +1,5 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.avro filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
 *.jpg filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,11 @@
+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+This dataset is licensed under the Creative Commons Attribution 4.0 International license.
+You are free to:
+- Share — copy and redistribute the material in any medium or format
+- Adapt — remix, transform, and build upon the material for any purpose, even commercially
+
+Under the following terms:
+- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+
+Full license text: https://creativecommons.org/licenses/by/4.0/

README.md

@@ -1,3 +1,169 @@
----
-license: cc-by-4.0
----
+---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.jsonl
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: category
+      dtype: string
+    - name: sub_category
+      dtype: string
+    - name: image
+      dtype: string
+    - name: image_paths
+      dtype: string
+    - name: encrypted_question
+      dtype: string
+    - name: encrypted_answer
+      dtype: string
+    - name: metadata
+      dtype: string
+    - name: sub_goals
+      dtype: string
+---
+
+# BrowseComp-V3: A Benchmark Dataset for Multimodal Browsing Agents
+
+A dataset containing 300 samples with encrypted question-answer pairs, images, search trajectories, and sub-goals.
+
+## Contents
+
+```
+├── data/
+│   ├── train.jsonl          # Main dataset (1.44 MB, 300 samples)
+│   └── images/              # Referenced images
+├── scripts/
+│   ├── decryption_script.py       # Decrypt entire dataset
+│   ├── decrypt_batch.py           # Batch decrypt to files
+│   ├── encryption_utils.py        # Encryption/decryption utilities
+├── metadata/
+├── decryption_guide.md      # Decryption instructions
+└── README.md
+```
+
+## Dataset Format
+
+### Fields
+
+Each sample in `train.jsonl` contains:
+- **`id`**: Sample identifier (e.g., `001_Culture_Art_L3_p2_t2_m0_r2_w0_c0_g5`)
+- **`category`**: Main category
+- **`sub_category`**: Sub-category
+- **`image`**: First image filename
+- **`image_paths`**: List of image filenames (JSON string)
+- **`encrypted_question`**: Encrypted question (AES-256-GCM format)
+- **`encrypted_answer`**: Encrypted answer (AES-256-GCM format)
+- **`metadata`**: Contains vis_inputs, source, timestamp, level, difficulty, domain, fc_num, and trajectory (JSON string)
+- **`sub_goals`**: List of sub-goals (JSON string)
+
+### Example
+
+```json
+{
+  "id": "001_Culture_Art_L3_p2_t2_m0_r2_w0_c0_g5",
+  "category": "Culture",
+  "sub_category": "Art",
+  "image": "data/images/001_Culture_Art_1.jpg",
+  "image_paths": "[\"data/images/001_Culture_Art_1.jpg\", \"data/images/001_Culture_Art_2.jpg\"]",
+  "encrypted_question": "{\"iv\": \"...\", \"ciphertext\": \"...\", \"tag\": \"...\"}",
+  "encrypted_answer": "{\"iv\": \"...\", \"ciphertext\": \"...\", \"tag\": \"...\"}",
+  "metadata": "{\"vis_inputs\": 2, \"source\": [...], \"level\": 3, \"difficulty\": \"Medium\", \"trajectory\": {...}}",
+  "sub_goals": "[{\"sg_id\": 1, \"description\": \"...\", \"key_info\": \"...\", ...}]"
+}
+```
+
+### Data Structure Notes
+
+- All nested structures (metadata, image_paths, sub_goals, etc.) are stored as JSON strings
+- The `trajectory` field is contained within `metadata`
+- Encrypted fields use base64-encoded iv, ciphertext, and tag
+
+## Encryption
+
+Question-answer pairs are encrypted with AES-256-GCM using:
+
+```
+Key derivation: SHA-256 hash of passphrase
+Passphrase: A_Visual_Vertical_Verifiable_Benchmark_for_Multimodal_Browsing_Agents
+```
+
+## Decryption
+
+### Requirements
+```bash
+pip install cryptography
+```
+
+### Decrypt Full Dataset
+
+```bash
+python scripts/decryption_script.py \
+  --input data/train.jsonl \
+  --key "A_Visual_Vertical_Verifiable_Benchmark_for_Multimodal_Browsing_Agents" \
+  --output decrypted.json
+```
+
+### Batch Decrypt
+
+```bash
+echo "A_Visual_Vertical_Verifiable_Benchmark_for_Multimodal_Browsing_Agents" > key.txt
+
+python scripts/decrypt_batch.py \
+  --input data/train.jsonl \
+  --key-file key.txt \
+  --output-dir decrypted_samples/
+```
+
+### Using Decryption API
+
+```python
+from encryption_utils import derive_key, decrypt_text
+
+key = derive_key("A_Visual_Vertical_Verifiable_Benchmark_for_Multimodal_Browsing_Agents")
+encrypted = {"iv": "...", "ciphertext": "...", "tag": "..."}
+plaintext = decrypt_text(encrypted, key)
+```
+
+## Usage
+
+### Load with HuggingFace Datasets
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("path/to/repo")
+sample = ds['train'][0]
+
+# Encrypted question and answer are still encrypted
+print(sample['encrypted_question'])
+print(sample['encrypted_answer'])
+```
+
+### Decrypt and Use
+
+```python
+import json
+import sys
+sys.path.insert(0, 'scripts')
+from encryption_utils import derive_key, decrypt_text
+
+key = derive_key("A_Visual_Vertical_Verifiable_Benchmark_for_Multimodal_Browsing_Agents")
+
+with open('decrypted.json') as f:
+    samples = json.load(f)
+    for sample in samples:
+        print(f"Q: {sample['question']}")
+        print(f"A: {sample['answer']}")
+```
+
+## License
+
+CC BY 4.0
+
+---
+
+**Last Updated**: 2026-02-14