Credit the prompt datasets in the app: About references and a source line in Samples

- About tab: a 'Datasets, licenses and references' section. It lists each prompt dataset, its license and its reference, and links to the README BibTeX.
- Samples tab: a one-line source and license credit above the prompts for OneIG-Bench (CC BY-NC 4.0), Qwen-Image-Bench and VBench-2.0.
- Checked locally with gradio 5.19.0: the app starts, and each dataset shows its credit.

app.py

@@ -1291,6 +1291,7 @@ button.theme-toggle[data-mode="light"] .theme-icon-moon { display: block !import
 }
 
 .compare-samples-help { color: var(--pruna-text-body); margin-bottom: 8px; }
+.compare-samples-credit { color: var(--pruna-text-muted); font-size: 0.9em; margin: 0 0 12px; }
 .compare-controls,
 .compare-controls.row,
 .compare-controls.column,
@@ -2622,6 +2623,33 @@ qwen_samples = load_sample_comparison_data(qwen_combined_dir)
 video_samples = load_sample_comparison_data(video_combined_dir)
 text_to_video_samples = load_sample_comparison_data(text_to_video_combined_dir)
 
+# Source credit shown above the sample prompts (full references are in the About tab).
+SAMPLE_PROMPT_CREDITS = {
+    "oneig": (
+        'Prompts: <a href="https://huggingface.co/datasets/OneIG-Bench/OneIG-Bench" '
+        'target="_blank" rel="noopener noreferrer">OneIG-Bench</a> (Chang et al., 2025), '
+        'licensed <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" '
+        'rel="noopener noreferrer">CC BY-NC 4.0</a>, non-commercial use only. See About for references.'
+    ),
+    "qwen": (
+        'Prompts: <a href="https://huggingface.co/datasets/Qwen/Qwen-Image-Bench" '
+        'target="_blank" rel="noopener noreferrer">Qwen-Image-Bench</a> (Li et al., 2026), '
+        "Apache 2.0. See About for references."
+    ),
+    "text_to_video": (
+        'Prompts: <a href="https://github.com/Vchitect/VBench/tree/master/VBench-2.0" '
+        'target="_blank" rel="noopener noreferrer">VBench-2.0</a> (Zheng et al., 2025), '
+        "Apache 2.0. See About for references."
+    ),
+}
+for _samples, _credit_id in (
+    (oneig_samples, "oneig"),
+    (qwen_samples, "qwen"),
+    (text_to_video_samples, "text_to_video"),
+):
+    if _samples:
+        _samples["credit"] = SAMPLE_PROMPT_CREDITS[_credit_id]
+
 metrics = [
     {"id": "datapoint_elo", "column": "Datapoint Elo"},
     {"id": "rapidata_elo", "column": "Rapidata Elo"},

ui.py

@@ -161,6 +161,39 @@ price vs score only.
 External text-to-image Elo (overall and category) from Arena AI. Their
 prompt set is private, so samples are not shown. Price and generation time
 are not in this export, so Pareto plots are unavailable.
+
+## Datasets, licenses and references
+
+The P-Bench code is released under the Apache License 2.0. The benchmark
+prompts shown in Samples are copied verbatim from their original datasets and
+keep those datasets' licenses; P-Bench uses a selection of each and adds its
+own prompt IDs.
+
+- **OneIG Alignment Dataset**: prompts from
+  [OneIG-Bench](https://huggingface.co/datasets/OneIG-Bench/OneIG-Bench),
+  licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
+  (non-commercial use only).
+  Jingjing Chang, Yixiao Fang, Peng Xing, Shuhan Wu, Wei Cheng, Rui Wang,
+  Xianfang Zeng, Gang Yu and Hai-Bao Chen. *OneIG-Bench: Omni-dimensional
+  Nuanced Evaluation for Image Generation.* arXiv:2506.07977, 2025.
+- **Qwen Image Dataset**: prompts from
+  [Qwen-Image-Bench](https://huggingface.co/datasets/Qwen/Qwen-Image-Bench),
+  licensed Apache 2.0.
+  Niantong Li et al. *Qwen-Image-Bench: From Generation to Creation in
+  Text-to-Image Evaluation.* arXiv:2605.28091, 2026.
+- **VBench-2.0 Dataset**: prompts from
+  [VBench-2.0](https://github.com/Vchitect/VBench/tree/master/VBench-2.0),
+  licensed Apache 2.0.
+  Dian Zheng, Ziqi Huang, Hongbo Liu, Kai Zou, Yinan He, Fan Zhang, Yuanhan
+  Zhang, Jingwen He, Wei-Shi Zheng, Yu Qiao and Ziwei Liu. *VBench-2.0:
+  Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.*
+  arXiv:2503.21755, 2025.
+- **Artificial Analysis Dataset** and **Arena AI Dataset**: Elo (and
+  Artificial Analysis price) as published on their leaderboards, under
+  their terms of use.
+
+BibTeX for all of these is in the
+[Space README](https://huggingface.co/spaces/PrunaAI/P-Bench/blob/main/README.md#citation).
 """
 
 ABOUT_DETAILS_CONTENT = """
@@ -1383,6 +1416,10 @@ def _build_compare_samples_html(samples, selected_models, num_prompts, seed=0):
             """
         )
 
+    credit = (samples or {}).get("credit")
+    if credit:
+        # Static HTML from SAMPLE_PROMPT_CREDITS in app.py (not user input).
+        blocks.insert(0, f'<p class="compare-samples-credit">{credit}</p>')
     return "\n".join(blocks)