Add profiles, dataset card, and figures

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+assets/figure2_pipeline.src.pdf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -32,6 +32,10 @@ dataset instead provides **open-ended profiles extracted from real behavioral tr
 synthesized from users' historical social-media posts. Alongside them we release a **synthetic baseline** generated by
 prompting an LLM, so the two can be compared directly.
 
+## How the data was created
+
+![Profile synthesis pipeline](assets/figure2_pipeline.png)
+
 ## Dataset structure
 
 Two configurations, each a CSV with the same schema:
@@ -44,7 +48,7 @@ Two configurations, each a CSV with the same schema:
 | Config               | File                             | Rows | Description                                                             |
 | -------------------- | -------------------------------- | ---- | ----------------------------------------------------------------------- |
 | `open_ended`         | `open_ended_profiles.csv`        | 824  | Behaviorally grounded profiles extracted from real Bluesky post histories |
-| `synthetic_baseline` | `synthetic_baseline_profiles.csv`| 842  | Purely synthetic profiles from LLM prompting (varied seeds, temperature 0.7) |
+| `synthetic_baseline` | `synthetic_baseline_profiles.csv`| 842  | Purely synthetic profiles from LLM prompting |
 
 Open-ended profiles average ~116 words; synthetic baseline profiles ~210 words.
 
@@ -57,9 +61,37 @@ Open-ended profiles average ~116 words; synthetic baseline profiles ~210 words.
 }
 ```
 
+## Results
+
+Downstream results for the Qwen3 models, comparing **No Profile** (base model), the **Synthetic** baseline, and our
+**Open-Ended** behaviorally grounded profiles. RecBench columns (Netflix, Books, News) report F1; URS columns
+(Leisure, Creativity, Advice, Avg.) report the 1–10 LLM-judge score. Higher is better; **bold** = best per column
+within each model. (Full results with additional models are in the paper and the accompanying code repository.)
+
+| Model | Variant | Netflix (F1) | Books (F1) | News (F1) | Leisure | Creativity | Advice | Avg. |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Qwen3-8B  | No Profile | 0.421 | 0.515 | 0.318 | 5.48 | 5.31 | 5.99 | 5.59 |
+|           | Synthetic  | 0.420 | 0.625 | 0.319 | 6.34 | 6.72 | 7.08 | 6.72 |
+|           | Open-Ended | **0.450** | **0.649** | **0.322** | **6.76** | **7.40** | **7.65** | **7.27** |
+| Qwen3-14B | No Profile | 0.419 | 0.308 | 0.303 | **7.49** | 7.90 | 8.06 | 7.82 |
+|           | Synthetic  | 0.416 | 0.538 | **0.327** | 7.06 | 7.54 | 7.91 | 7.50 |
+|           | Open-Ended | **0.459** | **0.632** | 0.321 | 7.29 | **8.10** | **8.27** | **7.88** |
+| Qwen3-32B | No Profile | 0.403 | 0.569 | 0.308 | 6.79 | 7.09 | 6.90 | 6.93 |
+|           | Synthetic  | 0.427 | 0.580 | **0.317** | 7.20 | 7.87 | 8.06 | 7.71 |
+|           | Open-Ended | **0.455** | **0.658** | 0.315 | **7.35** | **8.06** | **8.23** | **7.88** |
+
+## Profile diversity
+
+![Birth-location distribution: synthetic baseline (left) vs open-ended (right)](assets/figure3_birth_distribution.png)
+
+*Birth-location distribution of the **baseline synthetic** profiles (left) and our **open-ended** behaviorally
+grounded profiles (right). Synthetic personas collapse toward a narrow set of nationalities, while the open-ended
+profiles maintain a long-tailed, representative distribution (top-12 countries shown; see the paper for the full
+comparison and categorical entropy analysis).*
+
 ## Source data & licensing
 
-Profiles are derived from the public **"2 Million Bluesky Posts"** corpus (Dale, 2024), released under **Apache 2.0**.
+Profiles are derived from the public [**"2 Million Bluesky Posts"**](https://huggingface.co/datasets/alpindale/two-million-bluesky-posts) corpus, released under **Apache 2.0**.
 Collection followed the platform's Terms of Service and API guidelines. This derived dataset is released under
 **Apache 2.0**.
 

assets/README.md

@@ -0,0 +1,12 @@
+# Figure assets
+
+All figures referenced by the dataset card are in place:
+
+| File | Paper figure | Content |
+| --- | --- | --- |
+| `figure2_pipeline.png` | Figure 2 | Profile-synthesis pipeline (raw posts → extract attributes → dedupe/resolve → summarize) |
+| `figure3_birth_distribution.png` | Figure 3 (side-by-side) | Birth-location distribution: synthetic baseline (left) vs open-ended (right) |
+
+`figure2_pipeline.png` was rendered from the paper's arXiv source (`figure2_pipeline.src.pdf`, kept here as the
+vector source). To regenerate: `node render.mjs figure2_pipeline.src.pdf figure2_pipeline.png` (any PDF→PNG tool
+works, e.g. `pdftoppm -png -r 300`).

assets/figure2_pipeline.src.pdf

@@ -0,0 +1,3 @@
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