| --- |
| language: |
| - en |
| license: other |
| task_categories: |
| - multiple-choice |
| tags: |
| - evaluation |
| - base-models |
| - zero-shot |
| - log-likelihood |
| configs: |
| - config_name: default |
| data_files: |
| - split: tiny_arithmark_2_0 |
| path: data/tiny_arithmark_2_0-00000-of-00001.parquet |
| - split: tiny_arithmark_3_0 |
| path: data/tiny_arithmark_3_0-00000-of-00001.parquet |
| - split: tiny_hellaswag |
| path: data/tiny_hellaswag-00000-of-00001.parquet |
| - split: tiny_logicmark |
| path: data/tiny_logicmark-00000-of-00001.parquet |
| - split: tiny_openbookqa |
| path: data/tiny_openbookqa-00000-of-00001.parquet |
| - split: tiny_pythonio |
| path: data/tiny_pythonio-00000-of-00001.parquet |
| - split: tiny_truthfulqa |
| path: data/tiny_truthfulqa-00000-of-00001.parquet |
| --- |
| |
| # base-evals |
|
|
| **0-shot, 4-choice** continuation evaluation for pretrained base models. |
|
|
| ## Splits |
|
|
| | split | source | source split | rows | |
| | --- | --- | --- | ---: | |
| | `tiny_arithmark_2_0` | [`AxiomicLabs/ArithMark-2.0@5bd986c7`](https://huggingface.co/datasets/AxiomicLabs/ArithMark-2.0/tree/5bd986c7305dcccec88432d630aae1ac9280a71f) | `train` | 500 | |
| | `tiny_arithmark_3_0` | [`AxiomicLabs/Arithmark-3.0@6f6e59dd`](https://huggingface.co/datasets/AxiomicLabs/Arithmark-3.0/tree/6f6e59dd9b7e2c63455f7af7f838f9ecc3d0a746) | `train` | 500 | |
| | `tiny_hellaswag` | [`Rowan/hellaswag@218ec52e`](https://huggingface.co/datasets/Rowan/hellaswag/tree/218ec52e09a7e7462a5400043bb9a69a41d06b76) | `validation` | 500 | |
| | `tiny_logicmark` | [`AxiomicLabs/LogicMark@e357c145`](https://huggingface.co/datasets/AxiomicLabs/LogicMark/tree/e357c145b63fb4a96813bdbb5b07a62fdb97d958) | `train` | 500 | |
| | `tiny_openbookqa` | [`allenai/openbookqa@388097ea`](https://huggingface.co/datasets/allenai/openbookqa/tree/388097ea7776314e93a529163e0fea805b8a6454) | `test` | 500 | |
| | `tiny_pythonio` | [`XiangPan/pythonio-mc@a85256a1`](https://huggingface.co/datasets/XiangPan/pythonio-mc/tree/a85256a18bccaaa3d66d9bf86247436948b15353) | `test` | 500 | |
| | `tiny_truthfulqa` | [`EleutherAI/truthful_qa_mc@b6468d07`](https://huggingface.co/datasets/EleutherAI/truthful_qa_mc/tree/b6468d07f67cdd1ba48292eb55a515b8a97d02ea) | `validation` | 500 | |
| | **total** | | | **3,500** | |
|
|
| ## Format |
|
|
| `id: string`, `context: string`, `choices: list[string]`, `label: int64`. |
| Labels are zero-based. Input is **`context + choices[i]`**, with exactly one ASCII space |
| before each choice and no trailing context whitespace. PythonIO uses LF line endings, |
| `Input: {input}\nOutput:` contexts, and choices without outer trailing whitespace; code |
| indentation and output-value whitespace are retained. HellaSwag uses context cleanup; |
| TruthfulQA uses `Q: {question}\nA:`. |
|
|
| ## Evaluation |
|
|
| No few-shot examples, chat template, CoT, or added BOS/EOS. |
|
|
| - **acc:** choose the largest sum of continuation-token log-probabilities. |
| - **acc_norm:** choose the largest mean **log-probability** per continuation token. |
| |
| Exclude context/padding; include boundary whitespace. Reject ambiguous token boundaries |
| and overlength inputs. Break ties by first index. Report each split separately. |
| This custom protocol is not HellaSwag character normalization, TruthfulQA MC2, or IRT. |
| |
| ## Provenance |
| |
| Each split selects 500 questions with `random.Random(42)`; OpenBookQA retains its full test set. |
| ArithMark 3.0 excludes `time_session` prompts without duration information before sampling. |
| Rows with fewer than four choices are excluded; larger sets keep the answer and three sampled |
| incorrect choices. |
| Source row/choice order is preserved. Full rules, hashes and indices: `manifest.json`; |
| original inputs/cards: `sources/`; offline rebuild: `build.py`. |
| |
| Evaluation only, including upstream train splits. Original source terms apply; PythonIO and |
| OpenBookQA have no declared license. Pretraining contamination is unknown. |
| |
