Datasetpublic

hudsongouge/low-quality-random-sft-data-I-had-laying-around

low-quality-random-sft-data-I-had-laying-around Exactly what it says on the tin. Random synthetic ChatML SFT scraps I had laying around on disk. Not curated. Not high quality. Possibly cursed. Useful if you want cheap filler / toy SFT data. Configs Config Rows What it is counting 15,000 Letter counts, palindromes, tiny string puzzles word-problems 19,587 Synthetic arithmetic word problems math 213,693 Synthetic math Q&A ChatML (merged from several… See the full description on the dataset page: https://huggingface.co/datasets/hudsongouge/low-quality-random-sft-data-I-had-laying-around.

sourceHugging Faceotherupdated 3mo agoView on Hugging Face

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Dataset Card

low-quality-random-sft-data-I-had-laying-around

Exactly what it says on the tin. Random synthetic ChatML SFT scraps I had laying around on disk. Not curated. Not high quality. Possibly cursed. Useful if you want cheap filler / toy SFT data.

Configs

Config	Rows	What it is
`counting`	15,000	Letter counts, palindromes, tiny string puzzles
`word-problems`	19,587	Synthetic arithmetic word problems
`math`	213,693	Synthetic math Q&A ChatML (merged from several local dumps, exact-chatml deduped)

Tokenized .pt URM arith dumps were intentionally left out.

Load

python

from datasets import load_dataset

counting = load_dataset("hudsongouge/low-quality-random-sft-data-I-had-laying-around", "counting", split="train")
word = load_dataset("hudsongouge/low-quality-random-sft-data-I-had-laying-around", "word-problems", split="train")
math = load_dataset("hudsongouge/low-quality-random-sft-data-I-had-laying-around", "math", split="train")

Schema

Shared columns: id, source_file, source_index, user, assistant, chatml, messages_json, n_messages.