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Reposition README: lead with cross-platform, soften claims, add Myriad + research links

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  1. README.md +10 -4
README.md CHANGED
@@ -8,6 +8,8 @@ tags:
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  - time-series
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  - polymarket
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  - manifold
 
 
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  - ohlcv
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  - event-contracts
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  pretty_name: ImpliedData Prediction Markets Sample
@@ -20,9 +22,9 @@ task_categories:
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  # Prediction Markets Dataset (Sample)
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- Market metadata and 1-hour OHLCV candles from two prediction-market platforms **Polymarket** and **Manifold Markets** — collected and maintained by [ImpliedData](https://implieddata.com).
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- Prices are **implied probabilities** (0–1): a close of `0.73` means the market priced the event at 73% probability at that hour.
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  ## Files
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@@ -80,6 +82,10 @@ from datasets import load_dataset
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  ds = load_dataset("ImpliedData/prediction-markets", data_files="polymarket_ohlcv_1h_sample.parquet")
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  ```
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  ## Notes & limitations (read before using)
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  - This is a **sample**: 130 top-volume markets, 1h resolution only, limited windows (Polymarket: 2 weeks; Manifold: ~6 months). Low-volume markets are not included.
@@ -89,7 +95,7 @@ ds = load_dataset("ImpliedData/prediction-markets", data_files="polymarket_ohlcv
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  ## What the full dataset adds
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- The live [ImpliedData](https://implieddata.com) dataset: **250k+ markets, 19M+ trade records, complete histories (Polymarket since Oct 2020), intraday candles (1m / 5m / 15m / 1h / 1d), resolved-outcome labels, daily updates** — exportable as Parquet or CSV per platform, category, or individual market.
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  → **[implieddata.com](https://implieddata.com)** — browse the catalog and download free samples of any market.
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@@ -101,7 +107,7 @@ The live [ImpliedData](https://implieddata.com) dataset: **250k+ markets, 19M+ t
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  author = {ImpliedData},
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  year = {2026},
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  url = {https://huggingface.co/datasets/ImpliedData/prediction-markets},
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- note = {Historical market data from Polymarket and Manifold Markets}
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  }
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  ```
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  - time-series
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  - polymarket
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  - manifold
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+ - myriad
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+ - cross-platform
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  - ohlcv
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  - event-contracts
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  pretty_name: ImpliedData Prediction Markets Sample
 
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  # Prediction Markets Dataset (Sample)
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+ **ImpliedData** is the cross-platform data layer for prediction markets: it matches the *same real-world event* across **Polymarket**, **Manifold** & **Myriad**polarity-aligned so YES means the same thing on every venue — on top of the Polymarket on-chain tick history (404M fills, 2023–present).
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+ This is a **free sample**: market metadata and 1-hour OHLCV candles from Polymarket and Manifold. Prices are **implied probabilities** (0–1): a close of `0.73` means the market priced the event at 73% probability at that hour. The cross-platform event links, intraday candles, and full history are in the complete dataset at [implieddata.com](https://implieddata.com).
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  ## Files
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  ds = load_dataset("ImpliedData/prediction-markets", data_files="polymarket_ohlcv_1h_sample.parquet")
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  ```
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+ ## Why ImpliedData
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+
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+ Single-platform prediction-market data is a commodity. The hard part is knowing that a market on Polymarket and a differently-worded one on Manifold are the **same event**, and aligning them so YES means the same thing on both — ~1,800 links across ~1,360 events, matched by embeddings + LLM review and polarity-aligned. Read the research: [real money vs. play money](https://implieddata.com/blog/real-money-vs-play-money) · [how the event links work](https://implieddata.com/blog/cross-platform-event-links-clusters).
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+
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  ## Notes & limitations (read before using)
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  - This is a **sample**: 130 top-volume markets, 1h resolution only, limited windows (Polymarket: 2 weeks; Manifold: ~6 months). Low-volume markets are not included.
 
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  ## What the full dataset adds
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+ The live [ImpliedData](https://implieddata.com) dataset: markets across Polymarket, Manifold & Myriad, the Polymarket on-chain tick history (404M fills, 2023–present; metadata back to 2020), ~1,800 cross-platform event links, intraday candles (1m / 5m / 15m / 1h / 1d), resolved-outcome labels, and daily updates — exportable as Parquet or CSV per platform, category, or individual market.
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  → **[implieddata.com](https://implieddata.com)** — browse the catalog and download free samples of any market.
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  author = {ImpliedData},
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  year = {2026},
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  url = {https://huggingface.co/datasets/ImpliedData/prediction-markets},
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+ note = {Cross-platform historical prediction-market data (Polymarket, Manifold, Myriad)}
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  }
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  ```
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