datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
comprehensive-arithmetic-problemsarithmeticA small battery of 10 tests that involve asking language models a simple arithmetic
problem in natural language.comprehensive-arithmetic-problems-carriesqwen36-arithmetic-readouts
Arithmetic Intermediate Readout Sensitivity on Qwen3.6-27B
Arithmetic intermediate detection with a Jacobian lens depends sharply on the prompt token being read and the numeral forms accepted by the scorer. Across 105 order-of-operations items, the recorded hosted-lens responses contain the intermediate at rank 1 on 48 items at the trailing space, versus 4 at the preceding token. On the 25 held-out items with two-digit intermediates, rank-1 detection falls from 13 to 3 when… See the full description on the dataset page: https://huggingface.co/datasets/ec75hash/qwen36-arithmetic-readouts.nanochat-climbmix-arithmetic-base10
nanochat ClimbMix + Base-10 Arithmetic
This dataset contains the first 170 shuffled ClimbMix training shards
used by nanochat's speedrun. The deterministic base-10 arithmetic corpus is
mixed into shards 00000..00149; the final
20 train shards are unchanged web-only padding.
The original validation shard (shard_06542.parquet) is also
copied unchanged.
Arithmetic corpus
Family
Examples
a + b = c (all ordered pairs 0..2000, two exposures)
8,008,002
a + b… See the full description on the dataset page: https://huggingface.co/datasets/Yujivus/nanochat-climbmix-arithmetic-base10.simple-arithmetic-problemsarithmetic_additionnanochat-climbmix-arithmetic-base7
nanochat ClimbMix + Arithmetic: base-7 numeral world
This is a deterministic base-7 rendering of
Yujivus/nanochat-climbmix-arithmetic-base10. It preserves
the exact shard names, row order, document order, arithmetic-document placement,
and non-numeric text of the source dataset.
Transformation rule
Every maximal ASCII digit run matching [0-9]+ is interpreted as a base-10
integer and rendered in base 7. Leading zeros are preserved as a prefix; signs,
punctuation… See the full description on the dataset page: https://huggingface.co/datasets/Yujivus/nanochat-climbmix-arithmetic-base7.countdown-arithmetic-training-pool
Countdown arithmetic training pool
Arithmetic puzzles of the Countdown kind: a handful of source numbers, a target, and the job of
writing an expression over the four operations that reaches the target, using each source number
at most once and not having to use them all. A set generated for this pool and three public
datasets read at the pinned revisions named below, laid out twice. Train on either layer or on
both.
pool.jsonl
Every source rewritten into one… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/countdown-arithmetic-training-pool.nanochat-climbmix-arithmetic-base6
nanochat ClimbMix + Arithmetic: base-6 numeral world
This is a deterministic base-6 rendering of
Yujivus/nanochat-climbmix-arithmetic-base10. It preserves
the exact shard names, row order, document order, arithmetic-document placement,
and non-numeric text of the source dataset.
Transformation rule
Every maximal ASCII digit run matching [0-9]+ is interpreted as a base-10
integer and rendered in base 6. Leading zeros are preserved as a prefix; signs,
punctuation… See the full description on the dataset page: https://huggingface.co/datasets/Yujivus/nanochat-climbmix-arithmetic-base6.TAT-QA-Arithmetic-CoT
Dataset Information
A Chain of Thought (CoT) version of the TAT-QA arithmetic dataset (hosted at https://huggingface.co/datasets/nvidia/ChatQA-Training-Data). The dataset was synthetically generated by prompting Llama3 70B Instruct. The dataset was created as part of our work on Cerebras DocChat - a document-based conversational Q&A model. We observed that initial iterations of our model frequently made errors on arithmetic tasks (such as ConvFinQA) because it was trained on… See the full description on the dataset page: https://huggingface.co/datasets/cerebras/TAT-QA-Arithmetic-CoT.arithmetic_subtractionArithmetic-Reasoning
SagheerLab/Arithmetic-Reasoning
A high-quality synthetic arithmetic and elementary mathematics reasoning dataset for training and evaluating small language models - not an "ultimate math" claim, but a clean, verified, tiered reasoning dataset where every answer is programmatically checked.
This dataset was built to train 100M-ish models that benefit disproportionately from clean, unambiguous examples. At 50M examples (45M train / 2.5M val / 2.5M test, ~5GB parquet) it is… See the full description on the dataset page: https://huggingface.co/datasets/SagheerLab/Arithmetic-Reasoning.RWKV-7-ArithmeticRWKV-7-Arithmetic-0.1B 加减法运算模型的训练和测试数据集。
该模型实现基础加减法运算和加减法方程求解功能，能够处理整数部分为 1-12 位、小数部分为 0-6 位的数值，支持中英文数字、全半角格式以及大小写字符的多种表示形式，可实现基础加减法运算和加减法方程求解功能。
训练数据集说明
以下是我们使用的加减法训练数据类型，共包含 30000587 33000147 条单轮加减法 QA 数据，约 1B（1014434168） token。
数据文件名
数据条数
数据说明
示例
ADD_4M
3997733
1. 使用‘全角’、‘中文数字’、‘大写中文数字’随机替换整个数字2. 运算符附近有 1~2 个随机空格3. 含简单自然语言描述/自然语言噪声
{"text": "User: 249476576 减 796580834 还剩多少？\n\nAssistant: -547104258"}
ADD_2M
1999673
1. 使用‘全角’、‘中文数字’、‘大写中文数字’随机替换整个数字2. 运算符附近有 1~2… See the full description on the dataset page: https://huggingface.co/datasets/shoumenchougou/RWKV-7-Arithmetic.synthetic-dataset-v2-3d-3M-300K-0.1-reverse-padzerosynthetic-dataset-v2-3d-5M-500K-0.1-reverse-padzerosynthetic-dataset-2d-500K-50K-0.2-padzerosynthetic-dataset-v2-3d-2M-200K-0.1-reverse-padzerosynthetic-dataset-1d-1M-100K-0.1-reversemod-arithmetic
Modular Arithmetic Dataset
Synthetic dataset of modular-arithmetic problems of the form a mod b,
paired with the result and a hypothesis about the most suitable tokenizer.
Tokenizer hypothesis
For a mod b where b = 2^k × 5^j (no other prime factors), only the
rightmost max(k, j) digits of a determine the answer, because
10^max(k,j) ≡ 0 (mod b). A tokenizer that groups digits right-to-left
in chunks of that size exposes the relevant information as a single token.
For all… See the full description on the dataset page: https://huggingface.co/datasets/flexitok/mod-arithmetic.synthetic-dataset-v2-3d-4M-400K-0.1-reverse-padzerotask087_new_operator_addsub_arithmetic
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task087_new_operator_addsub_arithmetic
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task087_new_operator_addsub_arithmetic.synthetic-dataset-2d-500K-50K-0.1-reverse-padzerosynthetic-dataset-2d-1M-100K-0.1-padzerowsum-arithmeticdeepmind-math-arithmeticsynthetic-dataset-1d-1M-100K-0.1-padzerotram-arithmetic-responsesadaption-sec-financial-arithmetic-dataset
SEC Financial Arithmetic Dataset — Adaption AutoScientist Challenge
Powered by Adaptive Data — Adaption Labs
What This Dataset Teaches
This dataset trains a model to extract numbers from SEC filing tables and execute verified multi-step arithmetic — every answer is cross-checked against a gold reasoning program:
Task
Source
Example
Table Variable Extraction
FinQA
"From this 10-K table, extract 2021 and 2022 revenue values"
Multi-Step Arithmetic… See the full description on the dataset page: https://huggingface.co/datasets/narendarcodes/adaption-sec-financial-arithmetic-dataset.arithmetic-sorl-data
Arithmetic SoRL Data
Training and evaluation data for the SoRL Arithmetic Interpretability Study.
Small transformers trained on integer addition/subtraction, with
SoRL to externalize carry/borrow circuits
as explicit abstraction tokens.
Reference: Quirke et al., "Understanding Addition and Subtraction in Transformers" (2024).
Paper: arXiv:2402.02619 — see Table 8 for complexity classification and Section 3 for sub-task definitions.
Dataset Structure
Subfolder… See the full description on the dataset page: https://huggingface.co/datasets/thoughtworks/arithmetic-sorl-data.