datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
btc_bitstamp_1minbtcusdt-hour-2018-2024BTCUSDT from 2018-01-01T00:00:00.000Z to 2024-02-26T13:00:00.000Z, 53935 entries
Date,Open,High,Low,Close,Volume included
fallacies-fallacy-base
Fallacies
This dataset was produced for the purpose of enabling more accurate detection and handling of logical and other fallacies in LLMs. Video Summary
Provenance
Seed data taken from Wikipedia's list of Fallacies, using the PDF representaton of each sub-page as seed data to produce each row synthetically with Gemini 1.5 Flash, Experimental, and Pro over the Vertex AI Google Cloud UI. This was both for rate limitation reasons ( I hate stopping in the middle of a task.… See the full description on the dataset page: https://huggingface.co/datasets/MrOvkill/fallacies-fallacy-base.glue_reasoninguks_relational_triples_wikipediaA dataset of 110k relational triplets extracted from JulianKrgd/wikipedia-en-julian using GPT-OSS 120b, thanks to Aiqu
Each entry references the original dataset row and paragraph, making it easy to correlate facts with the actual article.
Idea for this dataset was inspied by the Universal Knowledge Store invented by the Future AI Society
binanceThe binance LOB state for cryptocurrency pairs BTCUSDT, ETHUSDT and BTCETH, from 24/03/2025 to 02/04/2025.
Columns:
"symbol": str
"side": bid or ask price level
"price": float, 2 digits precision
"amount": float, 5 digits precision
"snapshot": true if snapshot (initialization of the lob)
"chunk": a chunk is a suite of correct updates, it is not possible to connect two chunks with each other
"update_id": all rows with same update_id are to be processes at the same time
"timestamp": timestamp
state-action-pairsdesdep_tabular_dataset