Datasets:

avewright
/

downsize-macd

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

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