Update README.md

README.md

@@ -168,3 +168,89 @@ dataset_dict = {key: [d[key] for d in dataset_list] for key in dataset_list[0].k
 dataset = Dataset.from_dict(dataset_dict)
 dataset.push_to_hub("qgallouedec/trl-metrics", config_name="models")
 ```
+
+
+## Issues and comments
+
+```python
+import requests
+from datetime import datetime
+import os
+from datasets import Dataset
+from tqdm import tqdm
+
+token = os.environ.get("GITHUB_PAT")
+
+def get_full_response(url, headers, params=None):
+    page = 1
+    output = []
+    params = params or {}
+    while True:
+        params = {**params, "page": page, "per_page": 100}
+        response = requests.get(url, headers=headers, params=params)
+
+        if response.status_code != 200:
+            raise Exception(f"Failed to fetch issues: {response.text}")
+
+        batch = response.json()
+        if len(batch) == 0:
+            break
+        output.extend(batch)
+        page += 1
+    return output
+
+# GitHub API URL for issues (closed and open)
+issues_url = f"https://api.github.com/repos/huggingface/trl/issues"
+
+# Set up headers for authentication
+headers = {"Authorization": f"token {token}", "Accept": "application/vnd.github.v3+json"}
+
+# Make the request
+issues = get_full_response(issues_url, headers, params={"state": "all"})
+
+issues_dataset_dict = {
+    "number": [],
+    "title": [],
+    "user": [],
+    "state": [],
+    "created_at": [],
+    "closed_at": [],
+    "comments_count": [],
+}
+comments_dataset_dict = {
+    "user": [],
+    "created_at": [],
+    "body": [],
+    "issue_number": [],
+}
+for issue in tqdm(issues):
+    # Extract relevant information
+    issue_number = issue["number"]
+    title = issue["title"]
+    created_at = datetime.strptime(issue["created_at"], "%Y-%m-%dT%H:%M:%SZ")
+    comments_count = issue["comments"]
+    comments_url = issue["comments_url"]
+
+    comments = get_full_response(comments_url, headers=headers)
+    for comment in comments:
+        comments_dataset_dict["user"].append(comment["user"]["login"])
+        comments_dataset_dict["created_at"].append(datetime.strptime(comment["created_at"], "%Y-%m-%dT%H:%M:%SZ"))
+        comments_dataset_dict["body"].append(comment["body"])
+        comments_dataset_dict["issue_number"].append(issue_number)
+
+    issues_dataset_dict["number"].append(issue_number)
+    issues_dataset_dict["title"].append(title)
+    issues_dataset_dict["user"].append(issue["user"]["login"])
+    issues_dataset_dict["state"].append(issue["state"])
+    issues_dataset_dict["created_at"].append(datetime.strptime(issue["created_at"], "%Y-%m-%dT%H:%M:%SZ"))
+    issues_dataset_dict["closed_at"].append(datetime.strptime(issue["closed_at"], "%Y-%m-%dT%H:%M:%SZ") if issue["closed_at"] else None)
+    issues_dataset_dict["comments_count"].append(comments_count)
+
+issues_dataset = Dataset.from_dict(issues_dataset_dict)
+comments_dataset = Dataset.from_dict(comments_dataset_dict)
+
+issues_dataset.push_to_hub("qgallouedec/trl-metrics", config_name="issues")
+comments_dataset.push_to_hub("qgallouedec/trl-metrics", config_name="issue_comments")
+```
+
+