Datasets:
docs: document per-task answer format and evaluation protocol
#1
by shongdr - opened
README.md
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@@ -439,8 +439,8 @@ Same generators and parameters in both languages, so performance gaps isolate pr
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| `minesweeper` | Minesweeper with minimal hints preserving a unique solution | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `number_baseball` | Infer a hidden N-digit number from Strike/Ball hints | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `sat_puzzles` | Boolean satisfiability (CNF) framed as a natural-language scenario | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `sudoku` | 9x9 Sudoku with guaranteed-unique solutions | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `yacht_dice` | Assign 12 dice rolls to 12 scoring categories to maximize total score | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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### 2. Script Adaptations (2 tasks · EN + KO)
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## Usage
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```python
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from datasets import load_dataset
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# one task
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ds = load_dataset("HAERAE-HUB/NOLLI", "
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```
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## Structure
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Each config corresponds to one task. All configs share a single `test` split and the same schema
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| `difficulty` | str | `easy` / `medium` / `hard` |
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| `question` | str | full prompt for the model |
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| `choices` | str | JSON-encoded answer choices — only present in the `kinship` config |
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| `answer` | str | gold answer |
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| `solution` | str | step-by-step reference solution |
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## Citation
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```bibtex
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| `minesweeper` | Minesweeper with minimal hints preserving a unique solution | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `number_baseball` | Infer a hidden N-digit number from Strike/Ball hints | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `sat_puzzles` | Boolean satisfiability (CNF) framed as a natural-language scenario | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `sudoku` | 9x9 Sudoku with guaranteed-unique solutions; graded on the digits at 4-6 spot-checked cells, not the full grid | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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| `yacht_dice` | Assign 12 dice rolls to 12 scoring categories to maximize total score; graded on the partial sum over spot-checked rounds, not the 12-round total | 100 / 100 / 100 | 100 / 100 / 100 | 600 |
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### 2. Script Adaptations (2 tasks · EN + KO)
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## Usage
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```python
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from datasets import load_dataset, get_dataset_config_names
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# one task — `kinship` is one of the five Korean-only tasks
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ds = load_dataset("HAERAE-HUB/NOLLI", "kinship", split="test")
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# language and difficulty are columns; the 10 bilingual tasks carry both en and ko
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cipher = load_dataset("HAERAE-HUB/NOLLI", "cipher", split="test")
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ko_hard = cipher.filter(lambda x: x["language"] == "ko" and x["difficulty"] == "hard")
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# all 15 tasks
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tasks = get_dataset_config_names("HAERAE-HUB/NOLLI")
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all_ds = {t: load_dataset("HAERAE-HUB/NOLLI", t, split="test") for t in tasks}
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```
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Note that `kinship` carries an extra `choices` column, so the configs cannot be merged
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with `concatenate_datasets` without first aligning the schema.
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## Structure
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Each config corresponds to one task. All configs share a single `test` split and the same schema
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| `difficulty` | str | `easy` / `medium` / `hard` |
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| `question` | str | full prompt for the model |
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| `choices` | str | JSON-encoded answer choices — only present in the `kinship` config |
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| `answer` | str | gold answer — format varies by task, see [Answer format](#answer-format) |
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| `solution` | str | step-by-step reference solution |
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## Answer format
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`answer` is not free text — the format is task-specific, and `question` already tells the model
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which one to produce. Two things to know before scoring.
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**Final line.** Seven tasks require a literal `Answer: <value>` last line — `inequality`, `jamo`,
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`korean_units`, `minesweeper`, `number_baseball`, `sudoku`, `yacht_dice`. The other eight take the
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bare value with no prefix.
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**Comparison.** Exact string match, with three exceptions: `sat_puzzles` (a JSON object) and
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`minesweeper` (a coordinate list) are order-insensitive, and `korean_units` carries a unit suffix
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that varies per item (`465373918평`).
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## Citation
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```bibtex
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