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README.md
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num_examples: 200
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download_size: 14970
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dataset_size: 25400
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- config_name: max
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features:
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- name: list
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list: int64
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- name: question
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dtype: string
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- name: label
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dtype: int64
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splits:
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- name: test
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num_bytes: 21800
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num_examples: 200
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download_size: 13441
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dataset_size: 21800
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- config_name: min
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features:
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- name: list
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list: int64
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- name: question
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dtype: string
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- name: label
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dtype: int64
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splits:
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- name: test
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num_bytes: 21800
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num_examples: 200
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download_size: 13440
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dataset_size: 21800
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- config_name: sort
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features:
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- name: list
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list: int64
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- name: question
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dtype: string
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- name: label
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dtype: int64
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- name: k
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dtype: int64
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- name: ordinal
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dtype: string
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splits:
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- name: test
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num_bytes: 32762
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num_examples: 200
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download_size: 15776
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dataset_size: 32762
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- config_name: sum
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features:
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- name: list
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list: int64
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- name: question
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dtype: string
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- name: label
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dtype: int64
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splits:
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- name: test
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num_bytes: 21000
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num_examples: 200
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download_size: 13777
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dataset_size: 21000
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configs:
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- config_name:
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- config_name: max
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---
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---
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license: mit
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- arithmetic
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- integer-arithmetic
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- lm-eval-harness
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- base-models
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- list-aggregates
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pretty_name: Numeric Mini
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: min
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data_files:
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- split: test
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path: min/test-*
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- config_name: max
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data_files:
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- split: test
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path: max/test-*
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- config_name: sum
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data_files:
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- split: test
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path: sum/test-*
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- config_name: count
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data_files:
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- split: test
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path: count/test-*
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- config_name: sort
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data_files:
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- split: test
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path: sort/test-*
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---
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# numeric-mini
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Fixed-NL-template integer aggregation over short lists. Built as
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**tier 2** of the eval design in
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[byte_v2/design/eval/design_v2.md](https://example.com) (internal).
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The original spec called for sourcing these tasks from TreeAILab/NumericBench,
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but NumericBench is MCQ-style with decimal operands and ability labels that
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don't cleanly contain min/max/sum/count/sort over plain integer lists, so this
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dataset is generated locally to match the spec's intent and the integer-only
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constraint.
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## Configs
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| config | template | n_test |
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|--------|----------|-------:|
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| `min` | `What is the minimum of the list [...]?` | 200 |
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| `max` | `What is the maximum of the list [...]?` | 200 |
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| `sum` | `What is the sum of the list [...]?` | 200 |
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| `count` | `How many times does X appear in the list [...]?` | 200 |
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| `sort` | `After sorting the list [...] in ascending order, what is the K-th element?` | 200 |
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## Construction
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- List length **5**, operands sampled uniformly from `[10, 99]` (2-digit integers).
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- `count`: target is drawn 50/50 from `{element of list, fresh integer not in list}`
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to balance zero-count and positive-count cases.
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- `sort`: K ∈ {1..5} uniform; the answer is the K-th element after ascending sort.
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## Schema
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| field | type | example | description |
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|------------|------|---------|-------------|
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| `list` | list[int] | `[59, 63, 15, 43, 75]` | the input list |
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| `question` | str | `"What is the minimum of the list [59, 63, 15, 43, 75]?"` | prompt |
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| `label` | int | `15` | gold answer (integer) |
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| `target` | int | `71` | (count only) the value to count |
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| `k` | int | `3` | (sort only) 1-indexed K |
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| `ordinal` | str | `"third"` | (sort only) ordinal word for K |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("cyanfi/numeric-mini", "sum", split="test")
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print(ds[0])
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```
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