datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SYNTH-Swallow-Math-Code-Mix
Mixed dataset: SYNTH + SwallowMath-v2 + SwallowCode-v2
This high-signal, all synthetic dataset is a complete shuffled mix of the following four sources:
SYNTH ~63.5%
SwallowCode-v2 ~15.5%
SwallowMath-v2-textbook ~10.5%
SwallowMath-v2-qa ~10.0%
The motivation to provide this on HF was the need for a convenient, pre-shuffled merge of the highest quality synthetic / augmented datasets for small language model pre-training experiments as of… See the full description on the dataset page: https://huggingface.co/datasets/TMoC/SYNTH-Swallow-Math-Code-Mix.verified-math-code-17k
Verified Math & Code, 17,000 rows
A math and code instruction dataset where every single row was mechanically checked before it was
allowed in. Not filtered by a heuristic, not scored by a model. Checked.
Two layers of verification, one per domain:
Every math answer was compared against an independent gold answer by exact, numeric and
symbolic (SymPy) comparison. If the worked solution did not arrive at the gold answer, the row
was dropped.… See the full description on the dataset page: https://huggingface.co/datasets/manifesta/verified-math-code-17k.mopd-math-code-mix
MOPD math+code mix
`train/`: math:code ≈ 1:1 平衡集（`math.parquet` + `code_*.parquet` shards）
`val/mopd_val_mix.parquet`: AIME24 全量 + MATH-500 子集 + Eurus code_validation 子集
路由字段：`ability ∈ {math, code}`
math-code-africa
Math & Code — African Context Dataset
Instruction-tuning dataset covering math and coding in African contexts: word problems with African currencies (UGX, KES, NGN), names, geography, and real-world scenarios (mobile money, market trading, farming); coding challenges for USSD systems, mobile money APIs, SMS gateways, agricultural data pipelines, and multilingual NLP — grounded via web search, generated with gemini-2.5-flash.
Dataset Details
Rows: 331
Regions… See the full description on the dataset page: https://huggingface.co/datasets/gimmy256/math-code-africa.