Add Apache-2.0 license tag and data/model attribution note

README.md

@@ -7,6 +7,7 @@ sdk: gradio
 sdk_version: 5.49.1
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
 # Predicting Memorization Before Fine-Tuning — demo
@@ -57,3 +58,18 @@ Locally the app loads Pythia-1.4B (~3 GB) at startup on a GPU if present, otherw
 - The classifier uses only base-model (pre-fine-tuning) features and was trained on a separate
   Run-1 fine-tuning run, then evaluated here on a disjoint Run-2 run.
 - Qwen and Llama can be added to the Explore tab once their run-2 token sequences are regenerated.
+
+## Data and model attribution
+The demo code in this repository is released under Apache-2.0. The text excerpts shown in the
+Explore tab are short passages drawn from public datasets and are displayed only to illustrate
+research findings; each dataset remains under its own upstream license, held by its original
+authors.
+
+- FineWeb, [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb), under ODC-By 1.0.
+- PG-19, [deepmind/pg19](https://huggingface.co/datasets/deepmind/pg19), public-domain books from Project Gutenberg.
+- The Stack, [bigcode/the-stack](https://huggingface.co/datasets/bigcode/the-stack), permissively licensed source code collected by the BigCode project.
+- OpenWebMath, [open-web-math/open-web-math](https://huggingface.co/datasets/open-web-math/open-web-math), openly released mathematical web text.
+- Base model Pythia-1.4B, [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b), under Apache-2.0.
+
+We thank the authors and maintainers of these datasets and of Pythia. If you are a rights holder
+and want an excerpt removed, please open a discussion on the Space and we will take it down.