Datasets:

cyanfi
/

numeric-mini

license: mit
task_categories:
  - text-generation
language:
  - en
tags:
  - arithmetic
  - integer-arithmetic
  - lm-eval-harness
  - base-models
  - list-aggregates
pretty_name: Numeric Mini
size_categories:
  - 1K<n<10K
configs:
  - config_name: min
    data_files:
      - split: test
        path: min/test-*
  - config_name: max
    data_files:
      - split: test
        path: max/test-*
  - config_name: sum
    data_files:
      - split: test
        path: sum/test-*
  - config_name: count
    data_files:
      - split: test
        path: count/test-*
  - config_name: sort
    data_files:
      - split: test
        path: sort/test-*

numeric-mini

Fixed-NL-template integer aggregation over short lists. Built as tier 2 of the eval design in byte_v2/design/eval/design_v2.md (internal).

The original spec called for sourcing these tasks from TreeAILab/NumericBench, but NumericBench is MCQ-style with decimal operands and ability labels that don't cleanly contain min/max/sum/count/sort over plain integer lists, so this dataset is generated locally to match the spec's intent and the integer-only constraint.

Configs

config	template	n_test
`min`	`What is the minimum of the list [...]?`	200
`max`	`What is the maximum of the list [...]?`	200
`sum`	`What is the sum of the list [...]?`	200
`count`	`How many times does X appear in the list [...]?`	200
`sort`	`After sorting the list [...] in ascending order, what is the K-th element?`	200

Construction

List length 5, operands sampled uniformly from [10, 99] (2-digit integers).
count: target is drawn 50/50 from {element of list, fresh integer not in list} to balance zero-count and positive-count cases.
sort: K ∈ {1..5} uniform; the answer is the K-th element after ascending sort.

Schema

field	type	example	description
`list`	list[int]	`[59, 63, 15, 43, 75]`	the input list
`question`	str	`"What is the minimum of the list [59, 63, 15, 43, 75]?"`	prompt
`label`	int	`15`	gold answer (integer)
`target`	int	`71`	(count only) the value to count
`k`	int	`3`	(sort only) 1-indexed K
`ordinal`	str	`"third"`	(sort only) ordinal word for K

Usage

from datasets import load_dataset
ds = load_dataset("cyanfi/numeric-mini", "sum", split="test")
print(ds[0])