| --- |
| pretty_name: Shared emergence ICL modalities - 128 trials per task |
| task_categories: |
| - text-generation |
| tags: |
| - in-context-learning |
| - reproducibility |
| - multimodal |
| --- |
| |
| # Shared-emergence ICL replication at T=128 |
|
|
| This dataset contains the complete raw result archive for the paper |
| “Many Next-Token Predictors are In-Context Learners.” |
|
|
| The campaign evaluates a fixed suite of 100 program-synthesis tasks using 128 |
| sampled prompts per task, for every clean and deranged shot cell described by |
| the paper: |
|
|
| - 21 run keys; |
| - 281 experiment cells; |
| - 12,800 predictions per cell; |
| - 3,596,800 predictions in total. |
|
|
| The archive expands to a top-level `results_128/` directory. It contains raw |
| per-task and per-trial JSON records, including predictions, exact-match |
| correctness, edit distances, and run configuration metadata. Summary JSON |
| files are present for the Evo2 runner but are not counted as experiment cells. |
|
|
| Use the code, complete run manifest, exact model revisions, strict validator, |
| analysis scripts, and per-file hashes in |
| [`N8python/shared-emergence-icl-modalities`](https://github.com/N8python/shared-emergence-icl-modalities). |
|
|
| ## Integrity |
|
|
| Archive: `icl_128_results_2026-07-28.tar.gz` |
|
|
| SHA-256: |
| `aa4c7b5331092582b14ce7cc1c025ef55f4a05a26696299cd69973e8da942931` |
|
|
| Compressed size: 718,954,210 bytes. |
|
|
| The repository fetcher verifies both the byte size and SHA-256 before |
| extracting, and the validator checks the complete 281-cell grid and all |
| 3,596,800 trial records. |
|
|
