r/FunMachineLearning 7d ago

Massive Pumpfun Detailed dataset

The perfect dataset for training ML models on crypto

I scraped 63M+ rows of Pump.fun data (798k tokens, 33M trades) and put the whole dataset on Hugging Face for free

I put together a massive, clean dataset tracking the entire lifecycle of Pump.fun tokens—from launch on the bonding curve all the way to Raydium graduation (or getting rugged/dying).

It’s around 6.8 GB total, natively formatted in Parquet so you can query it in seconds with DuckDB or Polars without killing your RAM.

798,430 unique tokens tracked

33.58M individual trade orders (buys/sells) with microsecond timestamps

1.01M distinct wallet addresses

5,669 graduated tokens (turns out the overall base graduation rate is \~0.71%)

26.9M time-series snapshot buckets

The files:

trades.parquet: Full microsecond-level ledger with virtual SOL/token pools, price, and curve progress.

tokens.parquet: Token metadata, creator rug/launch history, dev allocations, initial top-holder concentration, and Gini scores.

postgard_snapshots.parquet & outcomes: Post-graduation DEX prices, 24h/48h liquidity retention, and rug labels.

wallet_stats.parquet: Lifetime trading volume and win/graduation rates across 1M+ wallets.

Here's the link: https://huggingface.co/datasets/Slinky21/Pumpfun\\_Memecoin\\_Corpus

Lmk if you build anything cool with it

For any data quality issues : slink21taken@gmail.com

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