| --- |
| pretty_name: BehaviorBench |
| task_categories: |
| - text-classification |
| - tabular-regression |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - behavioral-modeling |
| - prediction-markets |
| - user-modeling |
| - polymarket |
| --- |
| |
| # BehaviorBench: Polymarket Behavioral Modeling Data |
|
|
| This repository contains data for modeling **wallet-level behavior on Polymarket**. The prediction target is a wallet's behavior—not the eventual resolution of a market. |
|
|
| Two tasks are provided: |
|
|
| - **Belief:** predict a wallet's dominant outcome holding and a position-derived confidence score. |
| - **Trade:** predict the direction and estimated size of a wallet's next trade. |
|
|
| Each task is released at two levels: |
|
|
| - `dataset/`: structured source tables, fixed experimental splits, and retrieval support pools. |
| - `benchmark/`: model-ready instances for Direct, Profile, and Retrieval interfaces. |
|
|
| The Belief `confidence` field is a normalized position imbalance derived from holdings. See [Belief schema and labels](docs/schema_belief.md). |
|
|
| ## Repository layout |
|
|
| ```text |
| dataset/ |
| Belief/ |
| source/ # wallet-market holding labels |
| splits/ # fixed benchmark splits for 2,000 experiment wallets |
| support_set/ # external wallets used by retrieval |
| Trade/ |
| source/ # upstream trade, price, and behavior-feature tables |
| splits/ # fixed benchmark splits for 2,000 experiment wallets |
| support_set/ # external wallet trade histories used by retrieval |
| benchmark/ |
| Belief/{direct,profile,retrieval}/ |
| Trade/{direct,profile,retrieval}/ |
| metadata/ |
| docs/ |
| ``` |
|
|
| This camera-ready artifact contains the **Polymarket BehaviorBench** data only; the separate Manifold extension is not part of this release. |
|
|
| ## Dataset summary |
|
|
| ### Belief |
|
|
| A Belief source row represents one wallet's position-derived stance in one market. The benchmark asks a model to predict: |
|
|
| ```json |
| {"choice": "an outcome", "confidence": 0.0, "rationale": "..."} |
| ``` |
|
|
| The fixed split contains: |
|
|
| | Split | Rows | Wallets | |
| |---|---:|---:| |
| | train | 98,094 | 2,000 | |
| | validation | 21,147 | 2,000 | |
| | test | 22,204 | 2,000 | |
|
|
| The source table has 1,810,609 rows. The retrieval support set excludes the 2,000 experiment wallets and contains 1,669,164 rows from 29,319 wallets. |
|
|
| ### Trade |
|
|
| A Trade benchmark row represents a target transaction together with preceding wallet history and decision context. The target contains: |
|
|
| ```json |
| {"direction": "increase | decrease | close", "amount_usdc_est": 0.0} |
| ``` |
|
|
| The structured split contains: |
|
|
| | Split | Rows | |
| |---|---:| |
| | train | 1,311,941 | |
| | validation | 114,471 | |
| | test | 59,560 | |
|
|
| The model-ready Trade benchmark files use stable `sample_id` values for alignment across interfaces. The retrieval support set excludes the fixed experiment wallets and contains 5,086,400 trades from 11,676 wallets. |
|
|
| ## Benchmark interfaces |
|
|
| - **Direct:** supplies wallet behavior history directly. |
| - **Profile:** supplies a generated wallet profile (and, depending on task, limited current context). |
| - **Retrieval:** augments the instance with records retrieved from a support pool that excludes experiment wallets. |
|
|
| See [Benchmark interfaces](docs/interfaces.md) for exact released columns and documented retrieval behavior. |
|
|
| ## Loading examples |
|
|
| ```python |
| import pandas as pd |
| |
| belief = pd.read_parquet("dataset/Belief/splits/test.parquet") |
| trade = pd.read_parquet("benchmark/Trade/direct/test.parquet") |
| |
| print(belief[["sample_id", "label_choice", "label_confidence"]].head()) |
| print(trade[["sample_id", "input_text", "target"]].head()) |
| ``` |
|
|
| To stream compressed JSONL: |
|
|
| ```python |
| import gzip, json |
| |
| with gzip.open("benchmark/Belief/direct/test.jsonl.gz", "rt") as f: |
| first = json.loads(next(f)) |
| ``` |
|
|
| ## Documentation |
|
|
| - [Data construction and lineage](docs/data_construction.md) |
| - [Belief schema and label semantics](docs/schema_belief.md) |
| - [Trade schema and label semantics](docs/schema_trade.md) |
| - [Splits and support pools](docs/splits_and_support.md) |
| - [Direct, Profile, and Retrieval interfaces](docs/interfaces.md) |
|
|
| ## NeurIPS 2026 artifact metadata |
|
|
| - License: [Apache-2.0](LICENSE) |
| - Machine-readable metadata: [`croissant.json`](croissant.json) |
| - Responsible AI documentation: [`docs/RESPONSIBLE_AI.md`](docs/RESPONSIBLE_AI.md) |
| - Artifact checklist: [`docs/NEURIPS_2026_ARTIFACT_CHECKLIST.md`](docs/NEURIPS_2026_ARTIFACT_CHECKLIST.md) |
| - Version history: [`CHANGELOG.md`](CHANGELOG.md) |
|
|
| The canonical release target is `https://huggingface.co/datasets/Salesforce/BehaviorBench`. After upload, regenerate or download Hugging Face Croissant metadata, merge the RAI fields, and validate the final public URLs with the NeurIPS Croissant validator before OpenReview submission. |
|
|
| For the controlled handoff from the temporary repository to `Salesforce/BehaviorBench`, follow [`docs/SALESFORCE_MIGRATION.md`](docs/SALESFORCE_MIGRATION.md) and use `scripts/prepare_salesforce_release.py`. This prevents accidental inclusion of `manifold/` and checks for unresolved Git LFS pointers. |
|
|
