Update 18449

README.md

@@ -4,9 +4,9 @@ emoji: 📊
 colorFrom: green
 colorTo: purple
 sdk: gradio
-sdk_version: 4.36.1
+sdk_version: 4.27.0
 app_file: app.py
-pinned: true
+pinned: false
 header: mini
 datasets:
   - ICLR2024/ICLR2024-papers

app.py

@@ -8,6 +8,10 @@ from papers import PaperList
 DESCRIPTION = "# ICLR 2024 Papers"
 
 TUTORIAL = """\
+#### Tutorial for creating a PR
+
+To add data to the table below, please use [this Space](https://huggingface.co/spaces/ICLR2024/update-ICLR2024-papers) to create a PR.
+
 #### Tutorial for claiming the ICLR 2024 papers
 
 1. Find your paper in the table below.
@@ -22,10 +26,6 @@ The admin team will validate your request soon. Once confirmed, the Paper page w
 If you need further assistance, see the guide [here](https://huggingface.co/docs/hub/paper-pages#claiming-authorship-to-a-paper).
 
 If your paper is not yet indexed on Hugging Face, you can index it by following this [guide](https://huggingface.co/docs/hub/paper-pages#can-i-have-a-paper-page-even-if-i-have-no-modeldatasetspace) and open a PR with [this Space](https://huggingface.co/spaces/ICLR2024/update-ICLR2024-papers) to add your Paper page to this Space.
-
-#### Tutorial for creating a PR
-
-To add data to the table below, please use [this Space](https://huggingface.co/spaces/ICLR2024/update-ICLR2024-papers) to create a PR.
 """
 
 
@@ -35,10 +35,7 @@ DEFAULT_COLUMNS = [
     "Title",
     "Type",
     "Paper page",
-    "👍",
-    "💬",
     "OpenReview",
-    "Project page",
     "GitHub",
     "Spaces",
     "Models",

papers.py

@@ -24,10 +24,7 @@ class PaperList:
         ["Authors", "str"],
         ["Type", "str"],
         ["Paper page", "markdown"],
-        ["👍", "number"],
-        ["💬", "number"],
         ["OpenReview", "markdown"],
-        ["Project page", "markdown"],
         ["GitHub", "markdown"],
         ["Spaces", "markdown"],
         ["Models", "markdown"],
@@ -43,12 +40,11 @@ class PaperList:
     def get_df() -> pd.DataFrame:
         df = pd.merge(
             left=datasets.load_dataset("ICLR2024/ICLR2024-papers", split="train").to_pandas(),
-            right=datasets.load_dataset("ICLR2024/ICLR2024-paper-stats", split="train").to_pandas(),
+            right=datasets.load_dataset("ICLR2024/ICLR2024-num-claimed-papers", split="train").to_pandas(),
             on="id",
             how="left",
         )
-        keys = ["n_authors", "n_linked_authors", "upvotes", "num_comments"]
-        df[keys] = df[keys].fillna(-1).astype(int)
+        df[["n_authors", "n_linked_authors"]] = df[["n_authors", "n_linked_authors"]].fillna(-1).astype(int)
         df["paper_page"] = df["arxiv_id"].apply(
             lambda arxiv_id: f"https://huggingface.co/papers/{arxiv_id}" if arxiv_id else ""
         )
@@ -66,19 +62,12 @@ class PaperList:
             n_linked_authors = "" if row.n_linked_authors == -1 else row.n_linked_authors
             n_authors = "" if row.n_authors == -1 else row.n_authors
             claimed_paper = "" if n_linked_authors == "" else f"{n_linked_authors}/{n_authors} {author_linked}"
-            upvotes = "" if row.upvotes == -1 else row.upvotes
-            num_comments = "" if row.num_comments == -1 else row.num_comments
 
             new_row = {
                 "Title": row["title"],
                 "Authors": ", ".join(row["authors"]),
                 "Type": row["type"],
                 "Paper page": PaperList.create_link(row["arxiv_id"], row["paper_page"]),
-                "Project page": (
-                    PaperList.create_link("Project page", row["project_page"]) if row["project_page"] else ""
-                ),
-                "👍": upvotes,
-                "💬": num_comments,
                 "OpenReview": PaperList.create_link("OpenReview", row["OpenReview"]),
                 "GitHub": "\n".join([PaperList.create_link("GitHub", url) for url in row["GitHub"]]),
                 "Spaces": "\n".join(
@@ -130,7 +119,7 @@ class PaperList:
             df = df[df["type"] == presentation_type]
 
         if "Paper page" in filter_names:
-            df = df[df["paper_page"] != ""]
+            df = df[df["paper_page"].notnull()]
         if "GitHub" in filter_names:
             df = df[df["GitHub"].apply(len) > 0]
         if "Space" in filter_names:

requirements.txt

@@ -1,6 +1,6 @@
-datasets==2.19.1
-#gradio==4.36.1
-huggingface_hub==0.23.1
-pandas==2.2.2
+datasets==2.18.0
+#gradio==4.27.0
+huggingface_hub==0.22.2
+pandas==2.2.1
 ragatouille==0.0.8.post2
-tqdm==4.66.4
+tqdm==4.66.2