add arxiv papers export to hub stats job script

hub-stats.py

@@ -100,6 +100,11 @@ ENDPOINT_CONFIGS = {
         "params": {},
         "base_url": "https://huggingface.co/api/daily_papers",
     },
+    "arxiv_papers": {
+        "limit": 100,
+        "params": {},
+        "base_url": "https://huggingface.co/api/papers",
+    },
 }
 
 
@@ -121,6 +126,13 @@ def to_json_string(x):
     )
 
 
+def stringify_nested_columns(df):
+    for col in df.columns:
+        if df[col].map(lambda value: isinstance(value, (dict, list))).any():
+            df[col] = df[col].apply(to_json_string)
+    return df
+
+
 def process_dataframe(df, endpoint):
     if len(df) == 0:
         return df
@@ -151,6 +163,13 @@ def process_dataframe(df, endpoint):
                     None
                 )
 
+    elif endpoint == "arxiv_papers":
+        for ts_col in ["publishedAt", "submittedOnDailyAt"]:
+            if ts_col in df.columns:
+                df[ts_col] = pd.to_datetime(df[ts_col], errors="coerce").dt.tz_localize(
+                    None
+                )
+
     else:
         for field in ["createdAt", "lastModified"]:
             if field in df.columns:
@@ -165,6 +184,9 @@ def process_dataframe(df, endpoint):
         if col in df.columns:
             df[col] = df[col].apply(to_json_string)
 
+    if endpoint == "arxiv_papers":
+        df = stringify_nested_columns(df)
+
     return df
 
 
@@ -229,7 +251,14 @@ def jsonl_to_parquet(endpoint, jsonl_file, output_file):
 
 async def create_parquet_files(skip_upload=False):
     start_time = time.time()
-    endpoints = ["daily_papers", "models", "spaces", "datasets", "posts"]
+    endpoints = [
+        "daily_papers",
+        "arxiv_papers",
+        "models",
+        "spaces",
+        "datasets",
+        "posts",
+    ]
     created_files = []
     jsonl_files = {}
 
@@ -265,7 +294,9 @@ async def create_parquet_files(skip_upload=False):
                     if endpoint == "posts":
                         total_items = data.get("numTotalItems", 0)
                         items_on_page = len(data.get("socialPosts", []))
-                        if (page + 1) * params["limit"] >= total_items or items_on_page == 0:
+                        if (page + 1) * params[
+                            "limit"
+                        ] >= total_items or items_on_page == 0:
                             url = None
                         else:
                             url = base_url
@@ -307,7 +338,14 @@ async def create_parquet_files(skip_upload=False):
 
 
 def recreate_from_jsonl():
-    endpoints = ["daily_papers", "models", "spaces", "datasets", "posts"]
+    endpoints = [
+        "daily_papers",
+        "arxiv_papers",
+        "models",
+        "spaces",
+        "datasets",
+        "posts",
+    ]
 
     for endpoint in endpoints:
         jsonl_file = os.path.join(CACHE_DIR, f"{endpoint}_raw.jsonl")