| --- |
| language: |
| - en |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| tags: |
| - cortex |
| - knowledge-distillation |
| - code-generation |
| - seismic-linter |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: example |
| path: data.jsonl |
| --- |
| |
| # Cortex SEIS example |
|
|
| This dataset contains the source documentation and Python evaluation tasks used by the |
| Cortex consolidation example. |
| It targets the Python package `seismic-linter==0.2.0` (import name `seismic_linter`). |
|
|
| ## Contents |
|
|
| `data.jsonl` contains 11 records: |
|
|
| - One `type="context"` record with the package documentation used to condition the teacher. |
| - Ten `type="eval"` records with code-generation questions and executable Python tests. |
|
|
| The Hub split is named `example` because the file contains both context and evaluation records. |
| Each evaluation record has `split="target"`. The file contains no generated training answers, |
| teacher-distribution caches, model weights, or retention probes. |
|
|
| | Record type | Fields | |
| | --- | --- | |
| | `context` | `type`, `id`, `package`, `context` | |
| | `eval` | `type`, `id`, `split`, `format`, `question`, `tests` | |
|
|
| Evaluation covers static-analysis results and line numbers, file analysis, temporal split |
| boundaries, and the monotonicity decorator. Questions request a complete `submission.py`; |
| the `tests` field contains Python `unittest` code that imports that submission. |
|
|
| ## Usage |
|
|
| Download the original JSONL without changing its contents: |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download( |
| repo_id="MikeDean/cortex-seis-example", |
| repo_type="dataset", |
| filename="data.jsonl", |
| ) |
| print(path) |
| ``` |
|
|
| For reproducible runs, also pass `revision="<dataset-commit-hash>"` to `hf_hub_download`. |
| The Cortex example downloads a pinned version automatically. To override that default, |
| pass a local path as `--data-file` to both `consolidate.py --stage prepare` and `eval.py`. |
| The source documentation conditions the teacher; |
| evaluation questions and tests are kept out of the training-question generation process. |
|
|
| Code scoring requires `seismic-linter==0.2.0` and runs generated Python in an execution |
| environment supplied by the user. Downloading or reading the dataset does not execute code. |
|
|
| ## Provenance |
|
|
| This dataset comes from [Cortex: Consolidating Context into Parametric Memory](https://arxiv.org/abs/2610.20399). |
|
|
| ## Citation |
|
|
| [Cortex: Consolidating Context into Parametric Memory](https://arxiv.org/abs/2610.20399). |
|
|
| ```bibtex |
| @misc{zhang2026cortex, |
| title = {Cortex: Consolidating Context into Parametric Memory}, |
| author = {Jintian Zhang and Feng He and Xinnian Liang and Ziwen Xu and Haoming Xu and Haojing Huang and Shuangzhi Wu and Ningyu Zhang}, |
| year = {2026}, |
| eprint = {2610.20399}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.CL}, |
| url = {https://arxiv.org/abs/2610.20399} |
| } |
| ``` |
|
|
