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Datasets:
Karmane
/
polymarket-prediction-markets-enriched

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
pandas
dataframe
generated
tabular
polymarket
prediction-markets
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community

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Polymarket Prediction Markets Enriched Dataset

This dataset packages public Polymarket prediction market metadata into a single analysis-ready dataframe for betting-market research, odds comparison, dashboard building, and prediction-market monitoring.

Each row represents one Polymarket market flattened from the public Gamma events feed and enriched with event context, category and series metadata, tag labels, outcome-price snapshots, liquidity and volume fields, multi-market-event structure, sportsbook-style market heuristics, and research-oriented classification flags. The result is easier to analyze than manually paging the public API, joining event context, and normalizing the platform's market metadata by hand.

Dataset Preview

record_id market_id condition_id market_slug question question_word_count outcomes outcome_count yes_price no_price favorite_outcome favorite_price price_sum market_spread last_trade_price best_bid best_ask one_day_price_change one_week_price_change one_month_price_change one_year_price_change volume_usd liquidity_usd volume_24h_usd volume_1wk_usd volume_1mo_usd volume_1yr_usd order_min_size order_price_min_tick_size market_status market_active market_closed market_archived market_restricted market_featured accepting_orders enable_order_book fees_enabled neg_risk competitive_score created_at updated_at start_date end_date closed_time days_since_creation days_since_update days_until_end event_id event_ticker event_slug event_title event_category event_active event_closed event_archived event_restricted event_comment_count event_market_count event_volume_usd event_liquidity_usd event_open_interest_usd event_created_at event_updated_at event_start_date event_end_date series_titles series_slugs primary_series_title primary_series_slug tag_labels tag_slugs tag_count is_multi_market_event is_binary_market is_sports_market sports_league is_crypto_market is_politics_market is_current_affairs_market is_pop_culture_market has_player_prop_signal has_spread_signal has_total_signal has_moneyline_signal has_price_target_signal has_election_signal has_award_signal has_culture_signal resolution_source_domain source_api_events_url source_api_event_url source_api_market_url source_directory_url source_domain last_collected_at
polymarket-market-1643703 1643703 0x553a941e8a11cac22eb746b6bbea0530695ee3e1b0693d80433d7b943c91cab7 will-trump-be-impeached-before-his-term-ends Will Trump be impeached before his term ends? 8 ["Yes", "No"] 2 0.605 0.395 Yes 0.605 1 0.03 0.56 0.59 0.62 -0.055 -0.04 -0.045 65363.5 33395.5 1206.18 1532.1 4648.47 65363.5 5 0.01 open True False False True False True True True False 0.989095 2026-03-18 21:48:13.234331+00:00 2026-06-01 18:43:06.052304+00:00 2026-03-19 18:06:33.910239+00:00 2029-01-20 00:00:00+00:00 74 0 963.216 284199 will-trump-be-impeached-before-his-term-ends will-trump-be-impeached-before-his-term-ends Will Trump be impeached before his term ends? True False False True 0 1 65363.5 33395.5 26013 2026-03-18 21:48:11.425924+00:00 2026-06-01 18:35:38.240652+00:00 2026-03-19 18:08:34.941608+00:00 2029-01-20 00:00:00+00:00 ["Impeachment"] ["impeachment"] Impeachment impeachment ["Earn 4%", "Politics", "Congress", "Trump", "Epstein"] ["earn-4", "politics", "congress", "trump", "epstein"] 5 False True False False True False False False False False False False False False False https://gamma-api.polymarket.com/events https://gamma-api.polymarket.com/events/284199 https://gamma-api.polymarket.com/markets/1643703 https://polymarket.com polymarket.com 2026-06-01 18:48:54.892756+00:00
polymarket-market-2045083 2045083 0x29e5bc9758ce36266371c56bfd0af97f163691b1aec980577542fa2de13398e0 will-giorgia-meloni-be-the-next-prime-minister-of-italy Will Giorgia Meloni be the next Prime Minister of Italy? 10 ["Yes", "No"] 2 0.51 0.49 Yes 0.51 1 0.08 0.57 0.47 0.55 0.02 0.12 0.03 5380.97 7981.94 527.091 1446.84 3172.98 5380.97 5 0.01 open True False False True False True True True True 0.9999 2026-04-21 16:26:58.486710+00:00 2026-06-01 18:42:25.054091+00:00 2026-04-21 19:37:39.296223+00:00 2028-12-31 00:00:00+00:00 41 0 943.216 403557 next-prime-minister-of-italy next-prime-minister-of-italy Next Prime Minister of Italy? True False False True 9 60 22677.5 85873.3 6116.16 2026-04-21 16:26:58.280989+00:00 2026-06-01 18:36:15.631502+00:00 2026-04-21 19:45:44.306365+00:00 2028-12-31 00:00:00+00:00 [] [] ["Politics", "PM", "Elections", "Meloni", "Global Elections", "Main Election"] ["politics", "pm", "elections", "meloni", "global-elections", "main-election"] 6 True True False False True False False False False False False False True False False https://gamma-api.polymarket.com/events https://gamma-api.polymarket.com/events/403557 https://gamma-api.polymarket.com/markets/2045083 https://polymarket.com polymarket.com 2026-06-01 18:48:54.892756+00:00
polymarket-market-2045090 2045090 0x59b34733c9f248feb6817a7bc64dcb7f57f0496eaa9c9a4f5871080e2247fe96 will-silvia-salis-be-the-next-prime-minister-of-italy Will Silvia Salis be the next Prime Minister of Italy? 10 ["Yes", "No"] 2 0.125 0.875 No 0.875 1 0.134 0.2 0.058 0.192 0.005 -0.049 0.025 3658.25 7395.49 30 1112.05 2976.83 3658.25 5 0.001 open True False False True False True True True True 0.876712 2026-04-21 16:27:00.627329+00:00 2026-06-01 18:43:30.073439+00:00 2026-04-21 19:38:33.518000+00:00 2028-12-31 00:00:00+00:00 41 0 943.216 403557 next-prime-minister-of-italy next-prime-minister-of-italy Next Prime Minister of Italy? True False False True 9 60 22677.5 85873.3 6116.16 2026-04-21 16:26:58.280989+00:00 2026-06-01 18:36:15.631502+00:00 2026-04-21 19:45:44.306365+00:00 2028-12-31 00:00:00+00:00 [] [] ["Politics", "PM", "Elections", "Meloni", "Global Elections", "Main Election"] ["politics", "pm", "elections", "meloni", "global-elections", "main-election"] 6 True True False False True False False False False False False False True False False https://gamma-api.polymarket.com/events https://gamma-api.polymarket.com/events/403557 https://gamma-api.polymarket.com/markets/2045090 https://polymarket.com polymarket.com 2026-06-01 18:48:54.892756+00:00
polymarket-market-2045091 2045091 0x680c0d5b723eed4b2eafeb89f1fbe94623836aea9130cb50ffe0af7293829f0d will-roberto-vannacci-be-the-next-prime-minister-of-italy Will Roberto Vannacci be the next Prime Minister of Italy? 10 ["Yes", "No"] 2 0.1365 0.8635 No 0.8635 1 0.069 0.158 0.102 0.171 -0.0015 0.067 -0.027 2969.96 6850.56 30 736.226 1995.95 2969.96 5 0.001 open True False False True False True True True True 0.883289 2026-04-21 16:27:00.930234+00:00 2026-06-01 18:43:37.361633+00:00 2026-04-21 19:38:35.531000+00:00 2028-12-31 00:00:00+00:00 41 0 943.216 403557 next-prime-minister-of-italy next-prime-minister-of-italy Next Prime Minister of Italy? True False False True 9 60 22677.5 85873.3 6116.16 2026-04-21 16:26:58.280989+00:00 2026-06-01 18:36:15.631502+00:00 2026-04-21 19:45:44.306365+00:00 2028-12-31 00:00:00+00:00 [] [] ["Politics", "PM", "Elections", "Meloni", "Global Elections", "Main Election"] ["politics", "pm", "elections", "meloni", "global-elections", "main-election"] 6 True True False False True False False False False False False False True False False https://gamma-api.polymarket.com/events https://gamma-api.polymarket.com/events/403557 https://gamma-api.polymarket.com/markets/2045091 https://polymarket.com polymarket.com 2026-06-01 18:48:54.892756+00:00
polymarket-market-2045087 2045087 0x3becef5298bc1b97d808f159242f77c0aa45814907544b624d0a4ef608d48727 will-matteo-salvini-be-the-next-prime-minister-of-italy Will Matteo Salvini be the next Prime Minister of Italy? 10 ["Yes", "No"] 2 0.013 0.987 No 0.987 1 0.016 0.044 0.005 0.021 -0.0005 -0.01 -0.001 1558.64 7400.32 30 285 1222.98 1558.64 5 0.001 open True False False True False True True True True 0.808297 2026-04-21 16:26:59.696773+00:00 2026-06-01 18:39:07.856402+00:00 2026-04-21 19:38:02.153182+00:00 2028-12-31 00:00:00+00:00 41 0 943.216 403557 next-prime-minister-of-italy next-prime-minister-of-italy Next Prime Minister of Italy? True False False True 9 60 22677.5 85873.3 6116.16 2026-04-21 16:26:58.280989+00:00 2026-06-01 18:36:15.631502+00:00 2026-04-21 19:45:44.306365+00:00 2028-12-31 00:00:00+00:00 [] [] ["Politics", "PM", "Elections", "Meloni", "Global Elections", "Main Election"] ["politics", "pm", "elections", "meloni", "global-elections", "main-election"] 6 True True False False True False False False False False False False True False False https://gamma-api.polymarket.com/events https://gamma-api.polymarket.com/events/403557 https://gamma-api.polymarket.com/markets/2045087 https://polymarket.com polymarket.com 2026-06-01 18:48:54.892756+00:00

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

  1. Purchase the dataset here:
    https://thearticulated.gumroad.com/l/polymarket-prediction-markets-enriched

  2. Provide your Hugging Face username at checkout.

  3. Return to this Hugging Face page and click:
    "Request Access"

  4. Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

Dataset Structure

Total rows: 28,934

Total columns: 96

Splits

  • data: 28,934 rows

Data Files

  • data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column pandas_dtype dataset_type description
record_id object string Text column. Stable unique identifier for the dataset row derived from the Polymarket market id.
market_id object integer-like string Stored as text, but values appear to represent whole numbers. Polymarket market identifier from the public Gamma API.
condition_id object string Text column. On-chain condition identifier associated with the binary market.
market_slug object string Text column. Public slug string for the market in the Gamma API.
question object string Text column. Primary market question text shown to traders.
question_word_count Int64 integer Whole-number numeric column. Word-count length of the market question after normalization.
outcomes object string Text column. JSON-array string containing the ordered list of outcome labels returned by the market payload.
outcome_count Int64 integer Whole-number numeric column. Number of outcome labels available for the market.
yes_price Float64 float Decimal numeric column. Implied Yes-side price when the market exposes Yes and No outcomes.
no_price Float64 float Decimal numeric column. Implied No-side price when the market exposes Yes and No outcomes.
favorite_outcome object string Text column. Outcome label with the highest exposed price at collection time when prices were available.
favorite_price Float64 float Decimal numeric column. Highest exposed outcome price at collection time when prices were available.
price_sum Float64 float Decimal numeric column. Sum of all parsed outcome prices for the market snapshot.
market_spread Float64 float Decimal numeric column. Difference between best ask and best bid when those values were available.
last_trade_price Float64 float Decimal numeric column. Last trade price reported by the public market payload.
best_bid Float64 float Decimal numeric column. Current best bid from the public market payload.
best_ask Float64 float Decimal numeric column. Current best ask from the public market payload.
one_day_price_change Float64 float Decimal numeric column. One-day price change reported by the market payload.
one_week_price_change Float64 float Decimal numeric column. One-week price change reported by the market payload.
one_month_price_change Float64 float Decimal numeric column. One-month price change reported by the market payload.
one_year_price_change Float64 float Decimal numeric column. One-year price change reported by the market payload.
volume_usd Float64 float Decimal numeric column. Cumulative market volume reported in dollar terms by the public payload.
liquidity_usd Float64 float Decimal numeric column. Current market liquidity reported in dollar terms by the public payload.
volume_24h_usd Float64 float Decimal numeric column. Trailing 24-hour market volume in dollars when available.
volume_1wk_usd Float64 float Decimal numeric column. Trailing 1-week market volume in dollars when available.
volume_1mo_usd Float64 float Decimal numeric column. Trailing 1-month market volume in dollars when available.
volume_1yr_usd Float64 float Decimal numeric column. Trailing 1-year market volume in dollars when available.
order_min_size Float64 float Decimal numeric column. Minimum order size reported by the market payload when available.
order_price_min_tick_size Float64 float Decimal numeric column. Minimum tick size for the order book when available.
market_status object string Text column. Normalized market-status label derived from archived, closed, active, and accepting-orders flags.
market_active bool boolean True/false column. Boolean flag indicating the market payload marked the market as active.
market_closed bool boolean True/false column. Boolean flag indicating the market payload marked the market as closed.
market_archived bool boolean True/false column. Boolean flag indicating the market payload marked the market as archived.
market_restricted bool boolean True/false column. Boolean flag indicating the payload marked the market as restricted.
market_featured bool boolean True/false column. Boolean flag indicating the market payload marked the market as featured.
accepting_orders bool boolean True/false column. Boolean flag indicating whether the market was accepting orders at collection time.
enable_order_book bool boolean True/false column. Boolean flag indicating whether the market exposed order-book support.
fees_enabled bool boolean True/false column. Boolean flag indicating whether fees were enabled on the market.
neg_risk bool boolean True/false column. Boolean flag indicating whether the market payload flagged negative-risk support.
competitive_score Float64 float Decimal numeric column. Competitive score value reported by the market payload when available.
created_at datetime64[ns, UTC] datetime Date or timestamp column. Timestamp when the market was created according to the market payload.
updated_at datetime64[ns, UTC] datetime Date or timestamp column. Timestamp when the market was last updated according to the market payload.
start_date datetime64[ns, UTC] datetime Date or timestamp column. Market start timestamp when available.
end_date datetime64[ns, UTC] datetime Date or timestamp column. Market end timestamp when available.
closed_time datetime64[ns, UTC] datetime Date or timestamp column. Timestamp when the market closed when exposed by the payload.
days_since_creation Int64 integer Whole-number numeric column. Number of days between market creation and collection time.
days_since_update Float64 float Decimal numeric column. Number of days between market last update and collection time.
days_until_end Float64 float Decimal numeric column. Number of days between collection time and the scheduled market end timestamp.
event_id object integer-like string Stored as text, but values appear to represent whole numbers. Parent Polymarket event identifier.
event_ticker object string Text column. Parent Polymarket event ticker when available.
event_slug object string Text column. Parent Polymarket event slug.
event_title object string Text column. Parent Polymarket event title.
event_category object string Text column. Event-level category string from Polymarket when available.
event_active bool boolean True/false column. Boolean flag indicating the parent event was marked active.
event_closed bool boolean True/false column. Boolean flag indicating the parent event was marked closed.
event_archived bool boolean True/false column. Boolean flag indicating the parent event was marked archived.
event_restricted bool boolean True/false column. Boolean flag indicating the parent event was marked restricted.
event_comment_count Int64 integer Whole-number numeric column. Comment count reported on the parent event when available.
event_market_count Int64 integer Whole-number numeric column. Number of market rows attached to the parent event payload.
event_volume_usd Float64 float Decimal numeric column. Cumulative event volume reported in dollars.
event_liquidity_usd Float64 float Decimal numeric column. Current event liquidity reported in dollars.
event_open_interest_usd Float64 float Decimal numeric column. Open interest reported on the event when available.
event_created_at datetime64[ns, UTC] datetime Date or timestamp column. Timestamp when the event record was created on Polymarket.
event_updated_at datetime64[ns, UTC] datetime Date or timestamp column. Timestamp when the event record was last updated on Polymarket.
event_start_date datetime64[ns, UTC] datetime Date or timestamp column. Parent event start timestamp when available.
event_end_date datetime64[ns, UTC] datetime Date or timestamp column. Parent event end timestamp when available.
series_titles object string Text column. JSON-array string containing the list of series titles attached to the parent event.
series_slugs object string Text column. JSON-array string containing the list of series slugs attached to the parent event.
primary_series_title object string Text column. First attached series title when available.
primary_series_slug object string Text column. First attached series slug when available.
tag_labels object string Text column. JSON-array string containing the list of event tag labels attached to the parent event.
tag_slugs object string Text column. JSON-array string containing the list of event tag slugs attached to the parent event.
tag_count Int64 integer Whole-number numeric column. Number of event tags attached to the parent event.
is_multi_market_event bool boolean True/false column. Boolean flag indicating the parent event contains more than one market.
is_binary_market bool boolean True/false column. Boolean flag indicating the market exposed exactly two outcomes.
is_sports_market bool boolean True/false column. Boolean flag indicating sports-oriented event, series, or title language.
sports_league object string Text column. Normalized sports league label derived from series, tags, category, and title heuristics when detected.
is_crypto_market bool boolean True/false column. Boolean flag indicating crypto-related market language or category.
is_politics_market bool boolean True/false column. Boolean flag indicating politics or election language or category.
is_current_affairs_market bool boolean True/false column. Boolean flag indicating current-affairs style categorization.
is_pop_culture_market bool boolean True/false column. Boolean flag indicating entertainment or pop-culture language.
has_player_prop_signal bool boolean True/false column. Boolean flag indicating a player-prop style betting market.
has_spread_signal bool boolean True/false column. Boolean flag indicating spread-style language.
has_total_signal bool boolean True/false column. Boolean flag indicating totals or over-under language.
has_moneyline_signal bool boolean True/false column. Boolean flag indicating moneyline-style win or beat language.
has_price_target_signal bool boolean True/false column. Boolean flag indicating price-target or threshold-style language.
has_election_signal bool boolean True/false column. Boolean flag indicating election-oriented language.
has_award_signal bool boolean True/false column. Boolean flag indicating award-oriented language.
has_culture_signal bool boolean True/false column. Boolean flag indicating entertainment, music, movie, or release-oriented language.
resolution_source_domain object string Text column. Domain extracted from the market resolution source URL when available.
source_api_events_url object string Text column. Base events endpoint used to collect the source data.
source_api_event_url object string Text column. Event-specific public API URL for the parent event.
source_api_market_url object string Text column. Market-specific public API URL for the market.
source_directory_url object string Text column. Top-level Polymarket website URL for the source platform.
source_domain object string Text column. Source platform domain for the dataset row.
last_collected_at datetime64[ns, UTC] datetime Date or timestamp column. UTC timestamp when the row was collected for this dataset build.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset 


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/polymarket-prediction-markets-enriched",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Karmane. (2025). Polymarket Prediction Markets Enriched Dataset. Hugging Face. https://huggingface.co/datasets/Karmane/polymarket-prediction-markets-enriched
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