Improve dataset card: Add task category, library, tags, and links

This PR updates the dataset card with relevant metadata and improves its content for better accuracy and discoverability.

Specifically, it:
- Corrects the `task_categories` metadata from `text-to-audio` to `audio-text-to-text` to accurately reflect the Audio Moment Retrieval task.
- Adds `library_name: lighthouse` to the metadata, linking the dataset to its primary associated library.
- Introduces `tags` such as `audio-retrieval`, `multimodal`, and `moment-retrieval` for enhanced searchability.
- Adds direct links to the project page and the associated GitHub repository within the dataset card content.

These changes provide more comprehensive and accurate information for users of the Clotho-Moment dataset.

README.md

@@ -1,27 +1,34 @@
 ---
-license: apache-2.0
-task_categories:
-- text-to-audio
 language:
 - en
+license: apache-2.0
 size_categories:
 - 10K<n<100K
+task_categories:
+- audio-text-to-text
+tags:
+- audio-retrieval
+- multimodal
+- moment-retrieval
+library_name: lighthouse
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: "train/*.tar"
+    path: train/*.tar
   - split: valid
-    path: "valid/*.tar"
+    path: valid/*.tar
   - split: test
-    path: "test/*.tar"
+    path: test/*.tar
 ---
 
 # Clotho-Moment
-This repository provides wav files used in [Language-based audio moment retrieval](https://arxiv.org/abs/2409.15672).
+This repository provides wav files used in [Language-based Audio Moment Retrieval](https://arxiv.org/abs/2409.15672).
 
 Each sample includes long audio containing some audio events with the temporal and textual annotation.
 
+Project page: https://h-munakata.github.io/Language-based-Audio-Moment-Retrieval/
+Code: https://github.com/line/lighthouse
 
 ## Split
 - Train
@@ -61,4 +68,4 @@ for sample in dataset:
   year={2025},
   organization={IEEE}
 }
-```
+```