datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pattern-Recognition
Pattern Completion Dataset
A 30 GB synthetic dataset of numeric sequence‑completion prompts and their next values, designed to teach large language models how to recognize and extrapolate patterns.
Each row contains a prompt (the sequence with a ? indicating the missing next element) and a completion (the correct next number).
Dataset Structure
Format: CSV (no header row)
Columns:
prompt – "Find the next number in the sequence: a,b,c,... ,?"
completion – the… See the full description on the dataset page: https://huggingface.co/datasets/Corpus-NZ/Pattern-Recognition.candlestick-pattern-recognition-system-data
Candlestick pattern detection dataset
640x640 renderings of 20-candle daily OHLC windows, with YOLO-format boxes for
8 candlestick patterns.
Labels are rule-based, not human-verified
Every box was generated by TA-Lib's CDLxxx functions. Nobody annotated these
charts by hand. A model trained here learns to imitate TA-Lib's published
heuristic, which does not always agree with what a discretionary trader would
mark on the same chart. Treat the labels as a… See the full description on the dataset page: https://huggingface.co/datasets/rohanjain2312/candlestick-pattern-recognition-system-data.Pattern-Recognition
Pattern Completion Dataset
A 30 GB synthetic dataset of numeric sequence‑completion prompts and their next values, designed to teach large language models how to recognize and extrapolate patterns.
Each row contains a prompt (the sequence with a ? indicating the missing next element) and a completion (the correct next number).
Dataset Structure
Format: CSV (no header row)
Columns:
prompt – "Find the next number in the sequence: a,b,c,... ,?"
completion – the… See the full description on the dataset page: https://huggingface.co/datasets/Gugu8/Pattern-Recognition.Pattern-Recognition
Pattern Completion Dataset
A 30 GB synthetic dataset of numeric sequence‑completion prompts and their next values, designed to teach large language models how to recognize and extrapolate patterns.
Each row contains a prompt (the sequence with a ? indicating the missing next element) and a completion (the correct next number).
Dataset Structure
Format: CSV (no header row)
Columns:
prompt – "Find the next number in the sequence: a,b,c,... ,?"
completion – the… See the full description on the dataset page: https://huggingface.co/datasets/Maestro502/Pattern-Recognition.student_feedback_pattern_recognitionstudent_feedback_pattern_recognition_medium_summarystudent_feedback_pattern_recognition_large_summarystudent_feedback_pattern_recognition_short_summary