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.

💥 FLOPCoding & Development › Data & Analysis

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.

Community voteNo votes yet

↝ Create a Remix ⌁ Publish a Fix Ask the community to fix this

HOW IT WAS MADE

Generation details

Added by the uploader

App or platform: Transformers 5.6.2 / local single-prompt run
Model: HuggingFaceTB/SmolLM2-135M-Instruct
Version: Version unknown
Type: Text
Uploader called it: a Flop

PromptShared

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.

App / workflow tool: Transformers 5.6.2 / local single-prompt run
Exact model / checkpoint name: HuggingFaceTB/SmolLM2-135M-Instruct
Model page URL: https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct

DISCUSSION

0 comments

No comments yet.

Start with a useful observation, a possible fix or a question.