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paper_list.py

@@ -1,13 +1,19 @@
 from __future__ import annotations
 
-import numpy as np
 import pandas as pd
 
 
 class PaperList:
     def __init__(self):
         self.organization_name = "ICML2023"
-        self.table = pd.read_csv("papers.csv")
+        self.table = pd.read_json("papers.json").fillna("")
+
+        claim_info = pd.read_csv("claim_info.csv", dtype={"arxiv_id": str, "n_authors": int, "n_linked_authors": int})
+        self.table = pd.merge(self.table, claim_info, on="arxiv_id", how="left")
+        self.table[["n_authors", "n_linked_authors"]] = (
+            self.table[["n_authors", "n_linked_authors"]].fillna(-1).astype(int)
+        )
+
         self._preprocess_table()
 
         self.table_header = """
@@ -25,23 +31,22 @@ class PaperList:
 
     def _preprocess_table(self) -> None:
         self.table["title_lowercase"] = self.table.title.str.lower()
+        self.table["arxiv"] = self.table.arxiv_id.apply(lambda x: f"https://arxiv.org/abs/{x}" if x else "")
+        self.table["hf_paper"] = self.table.arxiv_id.apply(lambda x: f"https://huggingface.co/papers/{x}" if x else "")
+        self.table["authors"] = self.table.authors.apply(lambda x: ", ".join(x))
 
         rows = []
         for row in self.table.itertuples():
             title = f"{row.title}"
-            arxiv = f'<a href="{row.arxiv}" target="_blank">arXiv</a>' if isinstance(row.arxiv, str) else ""
-            github = f'<a href="{row.github}" target="_blank">GitHub</a>' if isinstance(row.github, str) else ""
-            hf_paper = (
-                f'<a href="{row.hf_paper}" target="_blank">Paper page</a>' if isinstance(row.hf_paper, str) else ""
-            )
-            hf_space = f'<a href="{row.hf_space}" target="_blank">Space</a>' if isinstance(row.hf_space, str) else ""
-            hf_model = f'<a href="{row.hf_model}" target="_blank">Model</a>' if isinstance(row.hf_model, str) else ""
-            hf_dataset = (
-                f'<a href="{row.hf_dataset}" target="_blank">Dataset</a>' if isinstance(row.hf_dataset, str) else ""
-            )
-            author_linked = "✅" if ~np.isnan(row.n_linked_authors) and row.n_linked_authors > 0 else ""
-            n_linked_authors = "" if np.isnan(row.n_linked_authors) else int(row.n_linked_authors)
-            n_authors = "" if np.isnan(row.n_authors) else int(row.n_authors)
+            arxiv = f'<a href="{row.arxiv}" target="_blank">arXiv</a>' if row.arxiv else ""
+            github = f'<a href="{row.github}" target="_blank">GitHub</a>' if row.github else ""
+            hf_paper = f'<a href="{row.hf_paper}" target="_blank">Paper page</a>' if row.hf_paper else ""
+            hf_space = f'<a href="{row.hf_space}" target="_blank">Space</a>' if row.hf_space else ""
+            hf_model = f'<a href="{row.hf_model}" target="_blank">Model</a>' if row.hf_model else ""
+            hf_dataset = f'<a href="{row.hf_dataset}" target="_blank">Dataset</a>' if row.hf_dataset else ""
+            author_linked = "✅" if row.n_linked_authors > 0 else ""
+            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}"
             row = f"""
                 <tr>
@@ -84,15 +89,15 @@ class PaperList:
         has_hf_dataset: bool,
     ) -> pd.DataFrame:
         if has_arxiv:
-            df = df[~df.arxiv.isna()]
+            df = df[df.arxiv != ""]
         if has_github:
-            df = df[~df.github.isna()]
+            df = df[df.github != ""]
         if has_hf_space:
-            df = df[~df.hf_space.isna()]
+            df = df[df.hf_space != ""]
         if has_hf_model:
-            df = df[~df.hf_model.isna()]
+            df = df[df.hf_model != ""]
         if has_hf_dataset:
-            df = df[~df.hf_dataset.isna()]
+            df = df[df.hf_dataset != ""]
         return df
 
     @staticmethod