| # Data dictionary |
|
|
| Canonical probe tables use these fields: |
|
|
| | Field | Meaning | |
| |---|---| |
| | `Domain` | Synthetic, PubMed, or Reddit | |
| | `Paragraph_ID` | Stable paragraph identifier | |
| | `Source_Document_ID` | Grouping identifier used to keep source material together | |
| | `Tuple_ID` | Base conditional-tuple/family identifier | |
| | `ProbeID` | Unique individual probe identifier | |
| | `Probe_Number` | Integer P1–P5 | |
| | `Probe_Type` | Named transformation used to form the probe | |
| | `Paragraph` | Evidence text | |
| | `Probe_Question` | Handcrafted probe claim/question | |
| | `Gold_Label` | Supported, Not Supported, or Not Enough Evidence | |
|
|
| Prediction files add `predicted_label` and omit raw generations. The run manifest |
| maps every result row to its prediction file and records model, train domain, test |
| domain, training fraction, and prompt template. |
|
|
| For PubMed, `Source_Document_ID` is derived from the benchmark paragraph prefix |
| (for example `P12PR3` groups under `P12`). It is a stable internal grouping key, not |
| a claimed PMID. Synthetic and Reddit canonical files use the paragraph identifier |
| as a conservative grouping key; the domain split CSVs preserve any more specific |
| source identifiers recorded during split construction. |
|
|
|
|
