Update README.md

README.md

@@ -8,6 +8,13 @@ language:
 - en
 tags:
 - sports
+- nba
+- nfl
+- reasoning
+- long-context
+pretty_name: SportsMetrics
+size_categories:
+- 1K<n<10K
 ---
 
 # SportsMetrics
@@ -19,24 +26,51 @@ Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu,
 [Arxiv Paper](https://arxiv.org/abs/2402.10979)
 
 
+## Usage
+```python
+  from datasets import load_dataset
+  
+  def get_task(domain, task):
+      bench_data = []
+      dataset = load_dataset("huuuyeah/SportsMetrics",split="test")
+      for instance in dataset:
+          if instance["domain"]==domain and instance["task"]==task:
+              bench_data.append(instance)
+      return bench_data
+  
+  def message_iter(domain, task):
+      bench_data = get_task(domain, task)
+      if len(bench_data) == 0:
+          print("No data loaded.")
+          return
+      
+      for instance in bench_data:
+          messages = [
+              {"role": "system", "content": instance["system"]},
+              {"role": "user", "content": instance["user"]}
+          ]
+          yield messages
+  
+      return
+```
+
 ## Benchmark Tasks
 
 The LLM is mandatorily required to generate responses in JSON format.
 
 ### Reasoning Task
-- **reasoning-team_points_tracking**: Tracking team points in one match.  
-- **reasoning-key_stats_tracking**: Tracking the key statistics for sports analytics.
+- **reasoning-team_points_tracking**: (NBA) Tracking team points in one match.  
+- **reasoning-key_stats_tracking**: (NBA, NFL) Tracking the key statistics for sports analytics.
 
 ### Conflicts Task
-- **conflict-one_point_rule**: All scoring actions in the competition are set to be worth only one point.  
-- **conflict-swap_{num}_players**: Swap {num} of spalyer between two teams.
+- **conflict-one_point_rule**: (NBA) All scoring actions in the competition are set to be worth only one point.  
+- **conflict-swap_{num}_players**: (NBA) Swap {num} of spalyer between two teams.
 
 ### Robustness Task
-- **robustness-duplicate_{prob}**: Replicate the non-scoring move with a probability of {prob}.  
-- **robustness-remove_{prob}**: Remove the non-scoring move with a probability of {prob}.  
-- **robustness-shuffled_pbp**: Shuffle the order of all moves in play-by-play descriptions while maintain the original order of timestamps.  
-- **robustness-{num}_fiction_names**: Randomly select {num} of players from both teams and replace them with names from fiction movies. 
-
+- **robustness-duplicate_{prob}**: (NBA) Replicate the non-scoring move with a probability of {prob}.  
+- **robustness-remove_{prob}**: (NBA) Remove the non-scoring move with a probability of {prob}.  
+- **robustness-shuffled_pbp**: (NBA) Shuffle the order of all moves in play-by-play descriptions while maintain the original order of timestamps.  
+- **robustness-{num}_fiction_names**: (NFL) Randomly select {num} of players from both teams and replace them with names from fiction movies. 
 
 **Bibtex**
 ```
@@ -48,4 +82,4 @@ The LLM is mandatorily required to generate responses in JSON format.
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2402.10979}, 
-}
+}