Update task category, license, add tags and sample usage

This PR addresses several improvements to the dataset card:
- Updates the `license` metadata from `apache-2.0` to `cc-by-4.0`, aligning with the Creative Commons license for dataset materials as specified in the GitHub README.
- Changes the `task_categories` metadata from `question-answering` to `text-ranking`, which better reflects the dataset's focus on evaluating retrieval and ranking models.
- Adds `tags` such as `retrieval`, `embeddings`, and `benchmark` for better discoverability and categorization.
- Includes a "Sample Usage" section with a Python code snippet, directly sourced from the GitHub README, demonstrating how to load the dataset using the `datasets` library.

These changes aim to make the dataset card more accurate, informative, and user-friendly.

README.md

@@ -1,6 +1,14 @@
 ---
-license: apache-2.0
 language: en
+license: cc-by-4.0
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-ranking
+tags:
+- retrieval
+- embeddings
+- benchmark
 dataset_info:
 - config_name: default
   features:
@@ -46,10 +54,6 @@ configs:
   data_files:
   - split: queries
     path: queries.jsonl
-task_categories:
-- question-answering
-size_categories:
-- 10K<n<100K
 ---
 
 # LIMIT
@@ -63,6 +67,15 @@ A retrieval dataset that exposes fundamental theoretical limitations of embeddin
 - **Full version**: [LIMIT](https://huggingface.co/datasets/orionweller/LIMIT/) (50k documents)
 - **Small version**: [LIMIT-small](https://huggingface.co/datasets/orionweller/LIMIT-small/) (46 documents only)
 
+## Sample Usage
+
+You can load the data using the `datasets` library from Huggingface ([LIMIT](https://huggingface.co/datasets/orionweller/LIMIT), [LIMIT-small](https://huggingface.co/datasets/orionweller/LIMIT-small)):
+
+```python
+from datasets import load_dataset
+ds = load_dataset("orionweller/LIMIT-small", "corpus") # also available: queries, test (contains qrels).
+```
+
 ## Dataset Details
 
 **Queries** (1,000): Simple questions asking "Who likes [attribute]?"