Update script

generate_evaluation_datasets.py

@@ -1,8 +1,17 @@
+import os
+from pathlib import Path
+
+import pandas as pd
 import typer
 from datasets import (Dataset, DatasetDict, get_dataset_config_names,
                       load_dataset)
+from dotenv import load_dotenv
 from huggingface_hub import list_datasets
-import pandas as pd
+
+if Path(".env").is_file():
+    load_dotenv(".env")
+
+HF_TOKEN = os.getenv("HF_TOKEN")
 
 app = typer.Typer()
 
@@ -20,10 +29,14 @@ def convert(dataset_id: str):
     for config in configs:
         typer.echo(f"🛠️🛠️🛠️ Converting {dataset_id} with config {config} 🛠️🛠️🛠️")
         try:
-            raw_datasets = load_dataset(dataset_id, name=config)
+            raw_datasets = load_dataset(
+                dataset_id, name=config, use_auth_token=HF_TOKEN
+            )
         except:
             typer.echo(f"❌ Failed to load {dataset_id} with config {config}")
-            errors.append({"dataset_name": dataset_id, "config": config, "error_type": "load"})
+            errors.append(
+                {"dataset_name": dataset_id, "config": config, "error_type": "load"}
+            )
             continue
         datasets_to_convert = DatasetDict()
 
@@ -38,7 +51,15 @@ def convert(dataset_id: str):
                 typer.echo(
                     f"❌ Skipping {dataset_name}/{config}/{split} due to missing columns: {', '.join(remainder_cols)}"
                 )
-                errors.append({"dataset_name": dataset_id, "config": config, "split": split, "error_type": "missing_columns", "missing_columns": remainder_cols})
+                errors.append(
+                    {
+                        "dataset_name": dataset_id,
+                        "config": config,
+                        "split": split,
+                        "error_type": "missing_columns",
+                        "missing_columns": remainder_cols,
+                    }
+                )
             else:
                 # Add `input` column if it exists
                 if "input" in dataset.column_names:
@@ -73,12 +94,12 @@ def extract_evaluation_datasets():
     errors = []
     all_datasets = list_datasets()
     # Filter for GEM datasets
-    gem_datasets = [dataset for dataset in all_datasets if dataset.id.startswith("GEM/")]
+    gem_datasets = [
+        dataset for dataset in all_datasets if dataset.id.startswith("GEM/")
+    ]
     # Filter for blocklist
     blocklist = [
-        "indonlg", # Can't load
-        "RiSAWOZ", # Can't load
-        "CrossWOZ", # Can't load
+        "CrossWOZ",  # Can't load
         "references",  # This repo, so exclude!
     ]
     blocklist = ["GEM/" + dataset for dataset in blocklist]

requirements.txt

@@ -1,3 +1,4 @@
 datasets
 typer
-lxml
+lxml
+python-dotenv