1,842 synthetic training examples for Qev decision models. Each example provides a context, a question, explicit answer options and a reviewed hard label. This release collects the self-generated portion of the training recipe used for the released Qev-9B.
Dataset Card
1,842 synthetic training examples for Qev decision models. Each example provides a context, a question, explicit answer options and a reviewed hard label. This release collects the self-generated portion of the training recipe used for the released Qev-9B. The same source inputs were available in Qev-2B's initial teacher-probability training. It includes original hard labels, not teacher probability caches, response targets or the later distillation pairs. It is a subset of the original mixed training corpus. All examples are in the train split. There is no held-out evaluation split: these inputs have already been used in model development and training. Original wording, candidate order…
Excerpt from the card by Austin Scamander, licensed other.
Structure
default 1,842 rows
| Split | Rows | Size |
|---|---|---|
| train | 1,842 | 1.4 MB |
Details
- Repository
- AustinFu/Qev-train
- Publisher
- Austin Scamander
- Task category
- Question answering
- Tags
- qev, synthetic, decision-making
- Size category
- 1K<n<10K
- Languages
- en, zh
- Revision
- bc54959b18272f9e97550aebcb5d498caed9b926
- Last updated
- 2026-09-30
Files
11 files, 3.1 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| ATTRIBUTION.jsonl | Data | 209.4 KB | — |
| data/train.parquet | Data | 437.3 KB | 3affeff755ed |
| licenses/Apache-2.0.txt | Data | 11.4 KB | — |
| licenses/CC-BY-SA-4.0.txt | Data | 18.4 KB | — |
| manifest.json | Data | 830 B | — |
| statistics.json | Data | 894 B | — |
| train.jsonl | Data | 2.4 MB | — |
| LICENSE.md | Documentation | 1.2 KB | — |
| README.md | Documentation | 9.9 KB | — |
| README.zh-CN.md | Documentation | 7.9 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- other
- Access
- No access gate
Released by Austin Scamander through its official repository on Hugging Face.