Datasets:
Languages:
English
Size:
1K<n<10K
Tags:
nullspan
system-one
structured-extraction
calibrated-abstention
prompt-injection-resistance
contract-extraction
License:
| license: mit | |
| task_categories: | |
| - question-answering | |
| - token-classification | |
| - tabular-regression | |
| - time-series-forecasting | |
| language: | |
| - en | |
| tags: | |
| - nullspan | |
| - system-one | |
| - structured-extraction | |
| - calibrated-abstention | |
| - prompt-injection-resistance | |
| - contract-extraction | |
| size_categories: | |
| - 1K<n<10K | |
| # `gnumanth/nullspan-dataset` | |
| Multi-task **System One structured extraction, multi-numeric commercial contract disambiguation, calibrated abstention (`p_null`), boolean/enum judgment, cross-field invariant verification, and distributional quantile estimation** dataset for [`gnumanth/nullspan`](https://huggingface.co/gnumanth/nullspan) (`344.2M` `ELECTRA-Large` + `SchemaAdapterBlock` 512-token cross-encoder). | |
| ## Splits & Zero-Leakage Composition | |
| - `train.jsonl`: `8,290` field-level training instances across structured telemetry, multi-numeric commercial contracts, and strictly disjoint SQuAD v2.0 training passages (`0%` context/question overlap with `NullspanBench`). | |
| - `cal_dev.jsonl`: `720` disjoint calibration instances used exclusively for post-hoc temperature scaling (`null_temperature`, `span_temperature`, `null_threshold_bias`). | |
| - `val.jsonl`: `336` field-level Open Pool validation instances across `64` documents. | |
| - `golden_eval.json`: `4` canonical multi-field scenarios + `2` adversarial prompt-injection & decoy stress scenarios + `24` held-out validation documents. | |
| ## Supervision Targets per Instance | |
| 1. **`is_null`**: Binary abstention label (`1` when requested field is absent, unassigned, or negated in `state`) paired with `abstention_reason` and nearest decoy `guess`. | |
| 2. **`span`**: Exact character offsets `[start, end]` in `state`. | |
| 3. **`spans`**: Multi-span list offsets `[[s1, e1], [s2, e2], ...]` for `type: "list"` (`B/I/O` token sequence tags). | |
| 4. **`op`**: 10-way System One operation routing target: | |
| - `0: SPAN_TEXT` | |
| - `1: SPAN_NUMBER` | |
| - `2: ARITH_SUM` | |
| - `3: ARITH_DIFF` | |
| - `4: ARITH_MUL` | |
| - `5: ISO_DATETIME` | |
| - `6: DATE_DURATION` | |
| - `7: DIST_ESTIMATE_FORECAST` | |
| - `8: BOOL_JUDGE` | |
| - `9: ENUM_CLASSIFY` | |
| 5. **`quantiles_norm`**: Log/linear normalized `[p10, median, p90]` targets in `[0, 1]` trained with multi-quantile pinball loss. | |
| ## License | |
| MIT © [Hemanth.HM](https://h3manth.com) | |