Datasets:

krish301
/

polymarket-crypto-metadata

license: mit
task_categories:
  - other
tags:
  - polymarket
  - prediction-market
  - crypto
  - bitcoin
  - ethereum
  - solana
  - time-series
size_categories:
  - 100K<n<1M

Polymarket Crypto Up/Down Market Metadata

Raw Gamma event metadata for every crypto up/down market on Polymarket during March 1 - June 3, 2026 (UTC), for BTC, ETH, and SOL on the 5-minute and 15-minute timeframes.

Structure

data/
  raw/
    metadata/
      <asset>/                  # btc, eth, sol
        <timeframe>/            # 5m, 15m
          _manifest.json        # series-level manifest (expected/fetched/missing/failed)
          <DD-MM-YYYY>/         # UTC day folder
            <HH-MM-SS-UTC>/     # UTC time folder (window start)
              metadata.json     # raw Gamma event for this window

Total: 108,276 market files across 6 series (3 assets x 2 timeframes), plus 6 series-level _manifest.json and a cross-series index at data/raw/_index/by_window.jsonl.

What's in each `metadata.json`

The full raw Gamma /events response for one market, including:

id, slug, title, description
startDate, endDate (UTC ISO 8601)
active, closed, archived, new
markets[] — array of inner markets (typically 1) with conditionId, clobTokenIds (UP and DOWN token IDs), volume, liquidity
tags[], image, icon, etc.

Coverage

Series	Windows	Missing
btc/5m	27,068	5
btc/15m	9,025	0
eth/5m	27,066	7
eth/15m	9,025	0
sol/5m	27,067	6
sol/15m	9,025	0

18 windows are genuinely absent from Polymarket's history. They cluster on 3 specific clock-times across 3 specific days (all on 5m markets, all 3 assets). The collector recorded them in each _manifest.json's missing_slugs list. See the manifest for exact slugs.

Slug convention

{asset}-updown-{timeframe}-{window_start_epoch} where window_start = (unix_ts // duration_seconds) * duration_seconds. The window is [T, T+duration) and the slug encodes the start, not the close.

The 5m and 15m market windows close at T+300 and T+900 seconds respectively.

Loading this dataset

The dataset preserves the on-disk structure, so you can:

from huggingface_hub import snapshot_download
path = snapshot_download(
    repo_id="krish301/polymarket-crypto-metadata",
    repo_type="dataset",
)
# Walk the tree
import os, json
for root, dirs, files in os.walk(os.path.join(path, "data", "raw", "metadata")):
    for f in files:
        if f == "metadata.json":
            full = os.path.join(root, f)
            with open(full) as fh:
                ev = json.load(fh)
            # ev["slug"], ev["endDate"], ev["markets"][0]["clobTokenIds"], ...

Or browse the tree in the HF dataset viewer at: https://huggingface.co/datasets/krish301/polymarket-crypto_metadata

Provenance

Generated by the polymarket_bot.data_collection package:

slug.py — slug builder and window-sweep generator
gamma.py — async Gamma client with retry/backoff
collect_metadata.py — backfill CLI
verify.py — independent post-collection verifier

Collection period: 2026-06-04. See per-series _manifest.json for exact fetched_at timestamps.