---
license: apache-2.0
task_categories: [text-generation]
language: [en]
tags: [chat, sft, math, coding, agents, instruction-following, distillation]
size_categories: [1K<n<10K]
---

# downsize-macd

Multi-source curated chat SFT for small-student distillation (**math / coding / agentic / direction**).

Built to favor **concise correct answers** over long fluent-wrong CoT. 20+ upstream sources.

## Stream

```python
from datasets import load_dataset
ds = load_dataset("avewright/downsize-macd", split="train", streaming=True)
row = next(iter(ds))
print(row["bucket"], row["source"], row["messages"][0]["content"][:120])
```

## Columns
- `messages`: chat turns `{role, content}`
- `source`: upstream dataset
- `bucket`: math | coding | agentic | direction