Add README documentation

README.md

@@ -1,63 +1,45 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: title
-    dtype: string
-  - name: content
-    list:
-    - name: id
-      dtype: string
-    - name: sentence
-      dtype: string
-    - name: tokens
-      list: string
-  - name: events
-    list:
-    - name: id
-      dtype: string
-    - name: type
-      dtype: string
-    - name: type_id
-      dtype: int64
-    - name: mention
-      list:
-      - name: id
-        dtype: string
-      - name: trigger_word
-        dtype: string
-      - name: sent_id
-        dtype: int64
-      - name: offset
-        list: int64
-      - name: arguments
-        list:
-        - name: text
-          dtype: string
-        - name: role
-          dtype: string
-  - name: negative_triggers
-    list: 'null'
-  splits:
-  - name: train
-    num_bytes: 4845983
-    num_examples: 529
-  - name: validation
-    num_bytes: 363584
-    num_examples: 28
-  - name: test
-    num_bytes: 366409
-    num_examples: 40
-  download_size: 2064171
-  dataset_size: 5575976
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: mit
 ---
+
+# ACE Dataset Metadata
+
+This repository contains metadata files for the ACE (Automatic Content Extraction) event detection dataset.
+
+## Files
+
+- **streams.json**: 5 items
+- **onestreams.json**: 1 items
+- **label2id.json**: 33 keys
+- **label_freq.json**: 33 keys
+- **id2tokens.json**: 34 keys
+
+## File Descriptions
+
+- **streams.json**: Contains the task stream configurations for continual learning
+- **onestreams.json**: Single-stream configuration variant
+- **label2id.json**: Mapping from event type labels to numerical IDs
+- **label_freq.json**: Frequency distribution of event types in the dataset
+- **id2tokens.json**: Mapping from IDs to token representations
+
+## Usage
+
+```python
+import json
+from huggingface_hub import hf_hub_download
+
+# Download a specific file
+label2id_path = hf_hub_download(
+    repo_id="{repo_id}",
+    filename="label2id.json",
+    repo_type="{repo_type}"
+)
+
+# Load the file
+with open(label2id_path, 'r') as f:
+    label2id = json.load(f)
+```
+
+## Citation
+
+If you use this dataset, please cite the original ACE dataset and related work.