AmanPriyanshu/reasoning-sft-OpenThoughts3-1.2M-450K
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下载链接：
https://hf-mirror.com/datasets/AmanPriyanshu/reasoning-sft-OpenThoughts3-1.2M-450K
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资源简介：
---
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- reasoning
- sft
- chain-of-thought
- math
- code
- science
pretty_name: reasoning-sft-OpenThoughts3-1.2M-450K
size_categories:
- 100K<n<1M
---
# reasoning-sft-OpenThoughts3-1.2M-450K
Converted version of [open-thoughts/OpenThoughts3-1.2M](https://huggingface.co/datasets/open-thoughts/OpenThoughts3-1.2M), filtered to rows with exactly one valid `<think>...</think>` block. 750K rows were dropped due to missing or malformed think tags.
## Format
Each row has three columns:
- `input` — list of dicts (conversation turns with `role` and `content`; `human` → `user`, last gpt turn removed)
- `response` — gpt response string including `<think>` reasoning block
- `domain` — task domain (`math`, `code`, `science`)
## Domain Distribution
| Domain | Count | % |
|---------|---------|---|
| math | 274,262 | 60.86% |
| science | 88,474 | 19.63% |
| code | 87,874 | 19.50% |
## Usage
```
import random
import pyarrow.parquet as pq
from huggingface_hub import hf_hub_download
fpath = hf_hub_download(
repo_id="AmanPriyanshu/reasoning-sft-OpenThoughts3-1.2M-450K",
repo_type="dataset",
filename="data_converted.parquet",
local_dir="./tmp_openthoughts_peek"
)
pf = pq.ParquetFile(fpath)
rows = {"input": [], "response": [], "domain": []}
for batch in pf.iter_batches(batch_size=65_536):
d = batch.to_pydict()
rows["input"].extend(d["input"])
rows["response"].extend(d["response"])
rows["domain"].extend(d["domain"])
total = len(rows["input"])
for idx in random.sample(range(total), 3):
print(f"\n{'='*80}\nRow {idx:,} / {total:,} | domain: {rows['domain'][idx]}\n{'='*80}")
for msg in rows["input"][idx]:
print(f"\n [{msg['role']}]\n {msg['content'][:300]}{'...' if len(msg['content']) > 300 else ''}")
print(f"\n[response]\n{rows['response'][idx][:600]}{'...' if len(rows['response'][idx]) > 600 else ''}")
```
## License
Apache 2.0
## Credits
Original dataset: [open-thoughts/OpenThoughts3-1.2M](https://huggingface.co/datasets/open-thoughts/OpenThoughts3-1.2M)
Annotations generated with QwQ-32B
提供机构：
AmanPriyanshu
