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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])
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