Update README.md

README.md

@@ -34,3 +34,104 @@ configs:
   - split: train
     path: stargazers/train-*
 ---
+
+## Stars
+
+```python
+import requests
+from datetime import datetime
+from datasets import Dataset
+import pyarrow as pa
+import os
+
+def get_stargazers(owner, repo, token):
+    # Initialize the count and the page number
+    page = 1
+    stargazers = []
+    while True:
+        # Construct the URL for the stargazers with pagination
+        stargazers_url = f"https://api.github.com/repos/{owner}/{repo}/stargazers?page={page}&per_page=100"
+
+        # Send the request to GitHub API with appropriate headers
+        headers = {"Accept": "application/vnd.github.v3.star+json", "Authorization": "token " + token}
+        response = requests.get(stargazers_url, headers=headers)
+
+        if response.status_code != 200:
+            raise Exception(f"Failed to fetch stargazers with status code {response.status_code}: {response.text}")
+
+        stargazers_page = response.json()
+
+        if not stargazers_page:  # Exit the loop if there are no more stargazers to process
+            break
+
+        stargazers.extend(stargazers_page)
+        page += 1  # Move to the next page
+
+    return stargazers
+
+token = os.environ.get("GITHUB_PAT")
+stargazers = get_stargazers("huggingface", "trl", token)
+stargazers = {key: [stargazer[key] for stargazer in stargazers] for key in stargazers[0].keys()}
+dataset = Dataset.from_dict(stargazers)
+
+def clean(example):
+    starred_at = datetime.strptime(example["starred_at"], "%Y-%m-%dT%H:%M:%SZ")
+    starred_at = pa.scalar(starred_at, type=pa.timestamp("s", tz="UTC"))
+    return {"starred_at": starred_at, "user": example["user"]["login"]}
+
+dataset = dataset.map(clean, remove_columns=dataset.column_names)
+dataset.push_to_hub("qgallouedec/trl-metrics", config_name="stargazers")
+```
+
+
+## Pypi downloads
+
+```python
+from datasets import Dataset
+from google.cloud import bigquery
+import os
+
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "propane-tree-432413-4c3e2b5e6b3c.json"
+
+# Initialize a BigQuery client
+client = bigquery.Client()
+
+# Define your query
+query = """
+#standardSQL
+WITH daily_downloads AS (
+  SELECT
+    DATE(timestamp) AS day,
+    COUNT(*) AS num_downloads
+  FROM
+    `bigquery-public-data.pypi.file_downloads`
+  WHERE
+    file.project = 'trl'
+    -- Filter for the last 12 months
+    AND DATE(timestamp) BETWEEN DATE_SUB(CURRENT_DATE(), INTERVAL 54 MONTH) AND CURRENT_DATE()
+  GROUP BY
+    day
+)
+SELECT
+  day,
+  num_downloads
+FROM
+  daily_downloads
+ORDER BY
+  day DESC
+"""
+
+# Execute the query
+query_job = client.query(query)
+
+# Fetch the results
+results = query_job.result()
+
+# Convert the results to a pandas DataFrame and then to a Dataset
+df = results.to_dataframe()
+dataset = Dataset.from_pandas(df)
+
+dataset.push_to_hub("qgallouedec/trl-metrics", config_name="pypi-downloads")
+```
+
+