datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trading-bot-backtesting
Trading bot Backtesting CSVs
Gunbot ⇄ Trading Bot backtests (pair-level candle & matched order data)Created with Gunbot on Binance spot.
Dataset structure
column
type
description
ts
int64
candle Unix ms timestamp
open/high/low/close
float
OHLC price values
volume
float
traded volume in base currency
order_type
str
buy, sell, or empty (no order)
order_rate
float
executed rate
order_amount
float
amount traded
order_id
int64
exchange order id
pnl… See the full description on the dataset page: https://huggingface.co/datasets/johnlprice82/trading-bot-backtesting.instagram_bot_detection
Instagram Fake Profile Detection Dataset
Dataset Summary
This dataset contains 5,000 Instagram profiles labeled as either fake or real, designed for binary classification tasks in social media fraud detection. The dataset provides comprehensive profile features that can be used to train machine learning models to automatically identify fake Instagram accounts.
Dataset Details
Total Samples: 5,000 profiles
Classes: Binary (0 = Real, 1 = Fake)
Class… See the full description on the dataset page: https://huggingface.co/datasets/nahiar/instagram_bot_detection.trading-bot-backtesting
Trading bot Backtesting CSVs
Gunbot ⇄ Trading Bot backtests (pair-level candle & matched order data)Created with Gunbot on Binance spot.
Dataset structure
column
type
description
ts
int64
candle Unix ms timestamp
open/high/low/close
float
OHLC price values
volume
float
traded volume in base currency
order_type
str
buy, sell, or empty (no order)
order_rate
float
executed rate
order_amount
float
amount traded
order_id
int64
exchange order id
pnl… See the full description on the dataset page: https://huggingface.co/datasets/kapr/trading-bot-backtesting.both-star-5c13b7
both-star-5c13b7
Synthetic products test data: 38 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Indigo-Michael/both-star-5c13b7.both-gear-f15f18
both-gear-f15f18
Synthetic sensors test data: 35 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Atlas-Theo/both-gear-f15f18.twitter-human-botsboth-commission-af4675
both-commission-af4675
Synthetic sensors test data: 44 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Nova-Dawn/both-commission-af4675.bot_etheriumuser_feedbackinstagram_bot_detection
Instagram Fake Profile Detection Dataset
Dataset Summary
This dataset contains 5,000 Instagram profiles labeled as either fake or real, designed for binary classification tasks in social media fraud detection. The dataset provides comprehensive profile features that can be used to train machine learning models to automatically identify fake Instagram accounts.
Dataset Details
Total Samples: 5,000 profiles
Classes: Binary (0 = Real, 1 = Fake)
Class… See the full description on the dataset page: https://huggingface.co/datasets/safhana2026/instagram_bot_detection.instagram_bot_detection
Instagram Fake Profile Detection Dataset
Dataset Summary
This dataset contains 5,000 Instagram profiles labeled as either fake or real, designed for binary classification tasks in social media fraud detection. The dataset provides comprehensive profile features that can be used to train machine learning models to automatically identify fake Instagram accounts.
Dataset Details
Total Samples: 5,000 profiles
Classes: Binary (0 = Real, 1 = Fake)
Class… See the full description on the dataset page: https://huggingface.co/datasets/djsuriya19/instagram_bot_detection.IoT-Bot-DiFL-IIDtwitter_bot_detectionIoT-Bot-DiFLmirai_botnetchat_botringdown-damping-signals
Ring-Down Damping Signals: 12K Labelled Decay Waveforms
How this dataset was created
This is original data created programmatically — it was not collected, recorded, scraped, or
derived from any external source. Each of the 12,000 signals was generated from scratch by a
deterministic, seeded Python program:
Draw the label theta uniformly at random from [1, 5], plus a random overall base-decay rate.
Pick a random number of tones ("modes", 30–55), each with a… See the full description on the dataset page: https://huggingface.co/datasets/botfx/ringdown-damping-signals.Discord-BotSupport_Botchat_bot1chat_botschat_bot7chat_bot2intterview_bottestedOpportunities-Bot
