This dataset requires a paid license. Please purchase access at the link below and provide your Hugging Face username. Once purchased, submit an access request on this page. Access is granted manually.

Polymarket Token Launch Catalyst Markets

This dataset packages the token-launch catalyst slice of public Polymarket market data into a single analysis-ready table for crypto research, prediction-market monitoring, content production, and launch-calendar building. It is aimed at buyers who already know the problem: the source is public, but the raw workflow is still annoying. You have to page event results, flatten nested market records, isolate launch-adjacent contracts from thousands of unrelated crypto questions, identify which rows are about token launches versus airdrops versus exchange listings, and then build your own priority views before you can do useful work. This product removes that setup step.

The current release contains 600 rows across 113 columns. Each row represents one crypto catalyst market with its parent event metadata, current status fields, volume and liquidity values, outcome-price snapshots, and a buyer-friendly layer of extra fields such as catalyst_family, catalyst_subject, target_exchange, threshold_value_usd, deadline_bucket, asset_volume_rank, and catalyst_priority_score. Coverage in this build runs from 2021-02-22 through 2028-01-01. The file intentionally includes both active and closed catalyst events so a buyer can compare live contract structure with recently settled launch-adjacent markets instead of relying on a thin snapshot.

The target buyer is concrete. A token-launch trader can track which projects have active launch-related contracts without writing catalyst heuristics on top of raw JSON. An airdrop researcher can filter airdrop rows, sort by deadline urgency, and see which projects already have multiple related contracts. A prediction-market analyst can compare which catalyst families attract the deepest market activity and which projects concentrate the most contract volume. A dashboard builder can rank open markets by liquidity, volume, and deadline urgency in DuckDB, pandas, or a warehouse. A newsletter writer or content operator can scan the table for active launch-adjacent markets, project clusters, and time-sensitive contracts without touching the public API directly. These are direct workflows that save time immediately.

The dataset is valuable because it packages awkward public data into a cleaner commercial research asset. Public availability does not mean convenient usability. On the source platform, catalyst rows are mixed into a much broader prediction-market surface, event and market data arrive nested together, field completeness varies, and practical segmentation such as token launch versus listing versus launch-day FDV threshold still has to be derived. This product handles that normalization and adds repeatable columns that help a buyer start exploring rather than start cleaning.

The file is ready for standard analysis tools. Buyers can load the parquet file directly into pandas for notebooks, DuckDB for fast ad hoc queries, BI dashboards for monitoring, or custom scripts for alerting and ranking. The schema is explicit, typed, deduplicated, and aligned to column descriptions that match the delivered table. The free sample lets buyers validate this before purchase. It is public, viewer-compatible, and intentionally structured as proof instead of marketing theater.

The preview proves several things. It proves the sample loads without authentication. It proves the schema is real and buyer-relevant. It proves the paid dataset is not a promise of future collection but an existing table with nonzero rows and a usable parquet layout. It also proves the column set is the same structure as the full version, so a buyer can validate join keys, fields, and workflow fit before paying.

Limitations matter. This dataset does not promise profitable trades, profitable bets, predictive accuracy, or any guaranteed edge. It reflects the public Polymarket surface as collected at build time, and some derived flags such as launch-related family labels or extracted project names are heuristics based on market language rather than official platform labels. The product is best used for research, analysis, monitoring, content support, and development.

The full dataset adds the complete launch-catalyst slice, more contracts than the free preview, and less setup than rebuilding the workflow internally. Instead of validating a few hundred sample records and then recollecting the rest yourself, you receive the full analysis-ready catalyst table plus the supporting campaign links, proof assets, and bundle-adjacent related dataset path in the same speculative-markets vertical.

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

Purchase the dataset here:
https://thearticulated.gumroad.com/l/jfremu?utm_source=hf_paid_readme&utm_medium=referral&utm_campaign=polymarket-token-launch-catalyst-markets
Provide your Hugging Face username at checkout.
Return to this Hugging Face page and click:
"Request Access"
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.

Related Datasets

Dataset Structure

Total rows: 600

Total columns: 113

Splits

data: 600 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	empty	Column contains no non-null values. 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.
catalyst_family	string	string	Text column. Normalized catalyst bucket derived from the contract wording, such as token_launch, airdrop, launch_fdv_threshold, exchange_listing, protocol_milestone, treasury_event, or etf_catalyst.
catalyst_subject	string	string	Text column. Primary token, protocol, company, or project name extracted from the event title or market question for grouping related contracts.
target_exchange	string	string	Text column. Exchange or venue named in the contract when the catalyst refers to a listing or venue-specific milestone.
threshold_direction	string	string	Text column. Direction extracted from threshold-style contracts, such as above or below.
threshold_value_usd	Float64	float	Decimal numeric column. Parsed USD threshold value from the contract when the question names a dollar target or FDV threshold.
catalyst_time_horizon	string	string	Text column. Near-term, medium-term, or long-term bucket derived from the contract deadline.
deadline_bucket	string	string	Text column. Deadline urgency bucket derived from days_until_end and market status.
is_launch_related_contract	bool	boolean	True/false column. Boolean flag indicating the contract is directly about a token launch, airdrop, exchange listing, or launch-day FDV threshold.
is_airdrop_contract	bool	boolean	True/false column. Boolean flag indicating the catalyst specifically concerns an airdrop.
is_exchange_listing_contract	bool	boolean	True/false column. Boolean flag indicating the contract specifically concerns an exchange listing.
is_protocol_milestone_contract	bool	boolean	True/false column. Boolean flag indicating the contract concerns a protocol, mainnet, upgrade, or similar implementation milestone.
is_fdv_threshold_contract	bool	boolean	True/false column. Boolean flag indicating the contract concerns a post-launch FDV threshold.
is_live_tradable_contract	bool	boolean	True/false column. Boolean flag indicating the contract is both active and accepting orders at collection time.
asset_event_count	Int64	integer	Whole-number numeric column. Count of catalyst-market rows tied to the same extracted catalyst_subject in the current dataset build.
asset_volume_rank	Int64	integer	Whole-number numeric column. Descending rank of the contract by cumulative volume within its extracted catalyst_subject.
asset_liquidity_rank	Int64	integer	Whole-number numeric column. Descending rank of the contract by liquidity within its extracted catalyst_subject.
catalyst_priority_score	Float64	float	Decimal numeric column. Derived score that prioritizes currently tradable, high-volume, high-liquidity, and nearer-deadline catalyst contracts for analyst review queues.

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-token-launch-catalyst-markets",
    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 Token Launch Catalyst Markets. Hugging Face. https://huggingface.co/datasets/Karmane/polymarket-token-launch-catalyst-markets

Downloads last month: 12

Total file size:

320 kB