events

One row per Polymarket event. An "event" groups one or more related markets — e.g., an election event groups markets for individual candidates.

Layout

Path	Format
events.parquet	Single parquet file

Load

import polars as pl
events = pl.read_parquet("events.parquet")

Schema

Column	Type	Description
event_id	str	Event identifier (matches markets.event_id and trades.event_id)
event_ticker	str	Short ticker / slug used by the platform
series_id	str	Identifier of the parent series, if any (e.g., a recurring weekly event)
title	str	Event title as displayed on Polymarket
category	str	Canonical category (one of Sports, Crypto, Finance, Politics, Tech, Culture, Weather, or Untagged)
category_original	str	Original Polymarket platform tag before mapping
event_start_time	datetime[ns, UTC]	Earliest market-start time across constituent markets
mutually_exclusive	bool	Whether the constituent markets resolve mutually exclusively (e.g., "which candidate wins?")
volume	float64	Total trading volume across constituent markets (USDC contract notional)
open_interest	float64	Total open interest across constituent markets at sample end
n_questions	uint32	Number of constituent markets
multi_category_flag	bool	True if constituent markets span more than one canonical category