Update README.md

README.md

@@ -1,3 +1,140 @@
----
-license: mit
----
+---
+license: mit
+extra_gated_prompt: 
+  You agree to not use the dataset to conduct experiments that cause harm to
+  human subjects. Please note that the data in this dataset may be subject to
+  other agreements. Before using the data, be sure to read the relevant
+  agreements carefully to ensure compliant use. Video copyrights belong to the
+  original video creators or platforms and are for academic research use only.
+task_categories:
+- visual-question-answering
+- question-answering
+extra_gated_fields:
+  Name: text
+  Company/Organization: text
+  Country: text
+  E-Mail: text
+language:
+- en
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: dense_video_captioning
+  data_files:
+  - split: anet
+    path: dense_video_captioning/anet.json
+  - split: vitt
+    path: dense_video_captioning/vitt.json
+  - split: youcook2
+    path: dense_video_captioning/youcook2.json
+
+- config_name: object_tracking
+  data_files:
+  - split: got10k_dynamic
+    path: object_tracking/got10k_dynamic.json
+  - split: lasot_dynamic
+    path: object_tracking/lasot_dynamic.json
+
+- config_name: refcoco
+  data_files:
+  - split: refcoco_50k
+    path: refcoco/refcoco_50k.json
+
+- config_name: spatial_temporal_action_localization
+  data_files:
+  - split: ava
+    path: spatial_temporal_action_localization/ava.json
+
+- config_name: step_localization
+  data_files:
+  - split: coin
+    path: step_localization/coin/coin.json
+  - split: hirest_step
+    path: step_localization/hirest_step/hirest_step.json
+
+- config_name: temporal_grounding
+  data_files:
+  - split: charades
+    path: temporal_grounding/charades.json
+  - split: didemo
+    path: temporal_grounding/didemo.json
+  - split: hirest
+    path: temporal_grounding/hirest.json
+  - split: queryd
+    path: temporal_grounding/queryd.json
+
+- config_name: visual_genome
+  data_files:
+  - split: vg_86k
+    path: visual_genome/vg_86k.json
+---
+
+## Overview  
+This dataset provides a comprehensive collection for **Online Spatial-Temporal Understanding tasks**, covering multiple domains including Dense Video Captioning, Video Grounding, Step Localization, Spatial-Temporal Action Localization, and Object Tracking.
+
+## Data Formats
+* Format 1: Conversational QA (LLaVA-style)
+```json
+{
+    "video": "116/NLy71UrHElw.mp4",
+    "conversations": [
+        {
+            "from": "human",
+            "timestamps": 1026.0,  # Video timestamp in seconds
+            "value": "<video>\nBased on current observation, list events..."
+        },
+        {
+            "from": "gpt",
+            "value": "21.0s - 22.0s (duration: 1.0s), begin to run up..."
+        }
+    ]
+}
+```
+Format 2: Template-based Tracking
+```json
+{
+    "video": "GOT-10k_Train_006457",
+    "fps": 1,  # Frame rate
+    "all_image_files": ["00000001.jpg", ...],  # Keyframe paths
+    "image_bboxes": [  # Temporal object tracking data
+        {
+            "timestamp": 0.0,
+            "bbox": [0.412, 0.517, 0.452, 0.753]  # [x1,y1,x2,y2]
+        },
+        ...
+    ],
+    "query_template": {  # Randomized temporal insertion
+        "from": "human",
+        "value": "Track the location of \"person\" at <bbox> over time..."
+    }
+}
+```
+
+## Source Data
+
+| Task                          | Dataset [Citation]         | Source                                                                             |
+|-------------------------------|----------------------------|------------------------------------------------------------------------------------|
+| Dense Video Captioning        | `ActivityNet Captions` | [Source](http://activity-net.org/download.html)                                    |
+|                               | `ViTT`                  | [Source](https://github.com/google-research-datasets/Video-Timeline-Tags-ViTT)     |
+|                               | `YouCook2`              | [Source](http://youcook2.eecs.umich.edu/)                                          |
+| Temporal Video Grounding      | `DiDeMo`                | [Source](https://github.com/LisaAnne/LocalizingMoments?tab=readme-ov-file#dataset) |
+|                               | `QuerYD`                | [Source](https://www.robots.ox.ac.uk/~vgg/data/queryd/)                            |
+|                               | `HiREST_grounding`     | [Source](https://github.com/j-min/HiREST)                                          |
+|                               | `Charades-STA`        | [Source](https://github.com/jiyanggao/TALL)                                        |
+| Step Localization             | `COIN`                | [Source](https://github.com/coin-dataset/annotations)                              |
+|                               | `HiREST_step`          | [Source](https://github.com/j-min/HiREST)                                          |
+| Spatial Temporal Action Localization             | `AVA`               | [Source](https://research.google.com/ava/download.html)                              |
+| Object Tracking             | `GOT 10K`               | [Source](http://got-10k.aitestunion.com/)                              |
+|              | `LaSOT`               | [Source](http://vision.cs.stonybrook.edu/~lasot/)                              |
+
+## Citation
+If you find this project useful in your research, please consider cite:
+```BibTeX
+@article{huang2024online,
+  title={Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method},
+  author={Huang, Zhenpeng and Li, Xinhao and Li, Jiaqi and Wang, Jing and Zeng, Xiangyu and Liang, Cheng and Wu, Tao and Chen, Xi and Li, Liang and Wang, Limin},
+  journal={arXiv preprint arXiv:2501.00584},
+  year={2024}
+}
+```
+