datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nanochat-wasm-examples
WASM Coprocessor Pretraining Examples
Synthetic training data for models that learn to invoke a WebAssembly coprocessor
to solve computational tasks. Each example pairs a natural-language question with
a WASM bytecode program that solves it.
Schema
Column
Type
Description
text
string
Human-readable representation (question + WASM program + answer)
input_ids
list[int]
Pre-tokenized sequence with text tokens (0-65535) and WASM tokens (65536+)
category
string… See the full description on the dataset page: https://huggingface.co/datasets/eastlondoner/nanochat-wasm-examples.aya_dataset_dutch_exampledummy_example_dataset
Dataset Name
Dummy Generated Dataset
Dataset Description
Generated dataset using AI
Dataset Structure
Data Fields
instruction: The task or question
input: Optional context or input
output: The expected response
Data Splits
Training: 5 examples
Validation: 3 examples
Test: 2 examples
Usage
from datasets import load_dataset
dataset = load_dataset("DannyAI/dummy_example_dataset")
Citation Information
If you use this… See the full description on the dataset page: https://huggingface.co/datasets/DannyAI/dummy_example_dataset.aya_dataset_english_examplecelestial-tool-calling-examples-v2
CELESTIAL Tool Calling Examples Dataset
Dataset Description
This dataset is part of the CELESTIAL spiritual AI platform, designed for training Mistral-7B models on spiritual and astrological guidance tasks.
Dataset Summary
Total Examples: 2000
Categories: tool_calling
Languages: English, Hindi (transliterated)
Format: Conversational format with tool calling examples
Dataset Structure
{
"messages": [
{"role": "user", "content": "User message"}… See the full description on the dataset page: https://huggingface.co/datasets/dp1812/celestial-tool-calling-examples-v2.OpenVerification1_aux_adaptation_examples
Dataset Card for ReexpressAI/OpenVerification1_aux_adaptation_examples
This is additional data as part of ReexpressAI/OpenVerification1. The data fields are slightly different for this data source, so we include this as a separate dataset.
This is example output from the Reexpress MCP Server when using the ReexpressAddTrue, ReexpressAddFalse, or ReexpressAddOOD tools. These are the lines that get saved to the adaptation/running_updates.jsonl file in the model directory.
Refer to… See the full description on the dataset page: https://huggingface.co/datasets/ReexpressAI/OpenVerification1_aux_adaptation_examples.preset-examplesdate-arithmetic-incorrect-examples
Date Arithmetic Incorrect Examples
Overview
This dataset presents incorrect predictions made by Qwen/Qwen3.5-0.8B-Base on a focused set of date-arithmetic and calendar-reasoning questions. The goal is to provide a compact, high-signal collection of failure cases that makes it easier to study where a small base language model struggles with temporal reasoning.
The examples center on tasks such as weekday identification, date offsets, counting days between dates… See the full description on the dataset page: https://huggingface.co/datasets/rabeya-akter/date-arithmetic-incorrect-examples.