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# OracleProto: Forecasting Evaluation Set
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**Dataset:** [`
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**License:** MIT
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A SQLite-packaged evaluation set of 80 hand-curated forecasting questions on real-world events, with resolution dates between 2026-03-12 and 2026-04-14, released alongside the [
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| Field | Value |
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| ---------------------- | ---------------------------------------------------------------------- |
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| Schema version | `v1.0` |
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| Release date | `2026-04-29` |
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| Rows | 80 |
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| Splits | `train` (80); single split, intended as a held-out evaluation set |
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| Resolution-date range | `2026-03-12` → `2026-04-14`
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| Question types | `yes_no`, `binary_named`, `multiple_choice` |
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| Choice types | `single` (one correct letter), `multi` (one-or-more correct letters) |
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| Database file | `forecast_eval_set_example.db` (SQLite 3, ~52 KB) |
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### Type distribution
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| `question_type` | `choice_type` | Rows
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| ------------------- | ------------- | ---- |
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| `yes_no` | `single` | 37
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| `binary_named` | `single` | 3
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| `multiple_choice` | `single` | 32
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| `multiple_choice` | `multi` | 8
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| **Total** | | **80** |
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`yes_no` is binary Yes/No; `binary_named` is binary between two named entities such as sports teams, fighters, or sides; `multiple_choice` carries at least three labelled options with one or more correct letters allowed, and "None of the above" is a valid answer when listed. Each row stores the exact option labels; letter `A` maps to `options[0]`, `B` to `options[1]`, and so on (§3.4 covers labels beyond `Z`).
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## 10.
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* **`v1.0` (2026-04-29).** Initial public example release. 80 rows; resolution dates 2026-03-12 → 2026-04-14; pipeline passes 1–5 above; 0 critical / 0 high / 0 medium ambiguity issues remaining.
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The schema version is recorded inside the database at `dataset_metadata.features_json.schema_version`, so consumers can pin against it without re-deriving from the file's hash.
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## 11. License
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Released under the **MIT License** (see `LICENSE`). The upstream questions originate from a public HuggingFace forecasting set; the curation work, schema, prompt-reconstruction recipe, and answer encodings in this release are the contribution of this project.
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##
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Issues, schema feedback, and ambiguity reports are welcome. If a row's ground truth has changed, or its framing is ambiguous under §5.5, open an issue in the relevant repository:
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* Dataset
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*
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Row-level reports should include the `id`, the disputed framing, and where available a primary source; those are the inputs the curation pipeline needs to update the row in the next release.
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# OracleProto: Forecasting Evaluation Set
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**Dataset:** [`Hugging Face`](https://huggingface.co/datasets/MaYiding/OracleProto)
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**GitHub Repo:** [`Github`](https://github.com/MaYiding/OracleProto)
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**Chinese Doc:** [[`中文文档`](https://huggingface.co/datasets/MaYiding/OracleProto/blob/main/README-ZH.md)]
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**License:** MIT
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A SQLite-packaged evaluation set of 80 hand-curated forecasting questions on real-world events, with resolution dates between 2026-03-12 and 2026-04-14, released alongside the [GitHub Repo](https://github.com/MaYiding/OracleProto). Both the rows and the byte-stable prompt-reconstruction recipe ship inside a single file, `forecast_eval_set_example.db`, which holds two tables: `forecast_eval_set_example` (the 80 rows) and `dataset_metadata` (the recipe).
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---
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| Field | Value |
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| ---------------------- | ---------------------------------------------------------------------- |
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| Release date | `2026-04-29` |
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| Rows | 80 |
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| Splits | `train` (80); single split, intended as a held-out evaluation set |
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| Resolution-date range | `2026-03-12` → `2026-04-14` |
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| Question types | `yes_no`, `binary_named`, `multiple_choice` |
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| Choice types | `single` (one correct letter), `multi` (one-or-more correct letters) |
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| Database file | `forecast_eval_set_example.db` (SQLite 3, ~52 KB) |
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### Type distribution
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| `question_type` | `choice_type` | Rows |
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| ------------------- | ------------- | ------ |
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| `yes_no` | `single` | 37 |
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| `binary_named` | `single` | 3 |
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| `multiple_choice` | `single` | 32 |
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| `multiple_choice` | `multi` | 8 |
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| **Total** | | **80** |
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`yes_no` is binary Yes/No; `binary_named` is binary between two named entities such as sports teams, fighters, or sides; `multiple_choice` carries at least three labelled options with one or more correct letters allowed, and "None of the above" is a valid answer when listed. Each row stores the exact option labels; letter `A` maps to `options[0]`, `B` to `options[1]`, and so on (§3.4 covers labels beyond `Z`).
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## 10. License
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Released under the **MIT License** (see `LICENSE`). The upstream questions originate from a public HuggingFace forecasting set; the curation work, schema, prompt-reconstruction recipe, and answer encodings in this release are the contribution of this project.
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## 11. Contact and contributions
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Issues, schema feedback, and ambiguity reports are welcome. If a row's ground truth has changed, or its framing is ambiguous under §5.5, open an issue in the relevant repository:
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* Dataset: [`MaYiding/OracleProto` on Hugging Face](https://huggingface.co/datasets/MaYiding/OracleProto/discussions) for row-level questions, ambiguity reports, and label disputes.
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* Code Repo: [`MaYiding/OracleProto` on GitHub](https://github.com/MaYiding/OracleProto/issues) for evaluator, parser, or harness behaviour.
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Row-level reports should include the `id`, the disputed framing, and where available a primary source; those are the inputs the curation pipeline needs to update the row in the next release.
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