datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-web-math-minhash
Dataset Card for "open-web-math-minhash"
An attempt at a "high quality sample" of open-web-math/open-web-math by aggressively applying minhash from text-dedup. The result is 1.82M rows down from the original 6M:
DatasetDict({
train: Dataset({
features: ['url', 'text', 'date', 'metadata'],
num_rows: 1820241
})
})
Usage
Unless you need the metadata, load the text-only config which is only 1.4 GB/5 shards:
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/open-web-math-minhash.task1728_web_nlg_data_to_text
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1728_web_nlg_data_to_text
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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1728_web_nlg_data_to_text.tool-reasoning-sft-TOOLS-toolmind-web-qa-sft-tool-use-data-cleaned-rectified-5.2k
ToolMind-Web-QA — Hermes Reasoning Format
Filtered and restructured version of Nanbeige/ToolMind-Web-QA.
Filters applied: valid role transitions only · known tools only · non-empty user + answer required
Size: 5,274 examples (from 5,624 original trajectories, 350 dropped)
Source
The original dataset contains 5,624 complex multi-hop QA trajectories grounded in Wikipedia
entity-relation graphs. Each trajectory has an average of ~138 turns with multiple tool calls
across… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toolmind-web-qa-sft-tool-use-data-cleaned-rectified-5.2k.