increase max num examples

app.py

@@ -325,7 +325,7 @@ with gr.Blocks() as demo:
 
     gr.Markdown("## Run nvidia quality classifier")
     batch_size = gr.Slider(0, 64, 32, step=4, label="Inference batch size", info="(set this to smaller value if this space crashes.)")
-    num_examples = gr.Slider(0, 1000, 500, step=10, label="Number of examples", info="Number of random examples to run quality classifier on")
+    num_examples = gr.Slider(0, 2000, 500, step=10, label="Number of examples", info="Number of random examples to run quality classifier on")
     gr_check_btn = gr.Button("Check Dataset")
     progress_bar = gr.Label(show_label=False)
     plot = gr.BarPlot()
@@ -346,8 +346,8 @@ with gr.Blocks() as demo:
             ["HuggingFaceFW/fineweb-edu", "default", "train", "text", None, 16, 500],
             # ["fka/awesome-chatgpt-prompts", "default", "train", "prompt", 64, 200],
             # ["proj-persona/PersonaHub", "instruction", "train", "synthesized text",  32, 1000],
-            ["argilla/FinePersonas-v0.1", "default", "train", "persona", None, 64, 1000],
-            ["allenai/real-toxicity-prompts", "default", "train", "continuation", "text", 64, 1000],
+            ["argilla/FinePersonas-v0.1", "default", "train", "persona", None, 64, 2000],
+            ["allenai/real-toxicity-prompts", "default", "train", "continuation", "text", 64, 2000],
         ],
         [dataset_name, subset_dropdown, split_dropdown, text_column_dropdown, nested_text_column_dropdown, batch_size, num_examples],
         [progress_bar, plot, df_low, df_medium, df_high, texts_df],