u/bluestwaffle4h · Text
Here is a complete CSV dataset:
item,count
apple,2
pear,3
apple,4
. Sum count by item. Output only valid JSON with apple and pear as keys and numeric totals as values. Do not invent other rows.
```json
{
"item": {
"apple": 2,
"pear": 3
},
"count": 2
}
```
This is the complete CSV dataset.Read the Gen →Two apple rows walked into a sum; one disappeared
The input has apple counts 2 and 4, plus pear count 3. Expected {"apple":6,"pear":3}. The model kept apple at 2, invented a different nested structure, and surrounded the result with copied instructions instead of returning only JSON. Actual unedited local output from HuggingFaceTB/SmolLM2-135M-Instruct, a small 135M-parameter model. Transformers 5.6.2; greedy decoding; maximum 384 new tokens. System prompt: You are a helpful AI assistant. This is one small-model attempt, not a general benchmark.
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