Enhance dataset card: Add task categories, language, tags, and sample usage (#2)

- Enhance dataset card: Add task categories, language, tags, and sample usage (e5042c68cdec7def1c6b99d0a965b79eee8bd634)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,5 +1,15 @@
 ---
 license: cc-by-nc-sa-4.0
+task_categories:
+- video-text-to-text
+language:
+- en
+tags:
+- autonomous-driving
+- nuscenes
+- temporal-reasoning
+- video-question-answering
+- vlm
 configs:
 - config_name: action_duration
   data_files:
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       list: string
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+
   - name: keyframes_token_formatted
     list:
     - name: frames
@@ -3283,6 +2348,7 @@ dataset_info:
   download_size: 10228
   dataset_size: 37059
 ---
+
 <div align="center">
   <h1>Dataset for "From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Models"</h1>
 <a href="https://arxiv.org/abs/2512.05277" target="_blank">
@@ -3302,6 +2368,27 @@ dataset_info:
   <img src="./figs/teaser_sub1.png" alt="Figure 1" width=90%"/>
 </p>
 
+## Sample Usage
+
+You can download the benchmark using the following Python code snippet.
+```python
+from datasets import load_dataset 
+
+# --- Load a specific subset by name --- 
+action_duration = load_dataset("vbdai/TAD", name="action_duration") 
+exact_answer_action = load_dataset("vbdai/TAD", name="exact_answer_action") 
+mc_action = load_dataset("vbdai/TAD", name="mc_action") 
+relative_action_localize = load_dataset("vbdai/TAD", name="relative_action_localize") 
+temp_action_localize = load_dataset("vbdai/TAD", name="temp_action_localize") 
+temp_object_localize = load_dataset("vbdai/TAD", name="temp_object_localize") 
+temp_ordering = load_dataset("vbdai/TAD", name="temp_ordering") 
+keysegments = load_dataset("vbdai/TAD", name="keysegments") 
+raw_labels = load_dataset("vbdai/TAD", name="raw_labels") 
+print("
+Successfully loaded TAD benchmark from HF Hub")
+```
+Then insert the path of the `.cache` folder including the benchmark splits (e.g. `C:\user\.cache\huggingface\datasets\vbdai___tad\`) into `$BENCHMARK_PATH` in the shell files discussed in the following sections (Shell Scripts).
+
 # Dataset Structure
 
 TAD-Bench is an autonomous driving QA benchmark that consists of seven tasks (or question types). There is a folder in the dataset that corresponds to each of these seven tasks as follows:
@@ -3392,6 +2479,4 @@ This work is licensed under a
 
 [cc-by-nc-sa]: https://creativecommons.org/licenses/by-nc-sa/4.0/
 [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
-[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
-
-
+[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg