datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
merge-accuracy
merge-accuracy — does aligning a merge improve DOWNSTREAM ACCURACY?
The mergeability line of work measures merge obstruction in nats/token. This dataset supplies
the missing axis: task accuracy, on real released models, for the merge recipe practitioners
actually run — the chat-vector recipe
theta_new = theta_fork + lambda * ( theta_instruct - theta_base )
with meta-llama/Llama-3.1-8B, its official Instruct release, and three community
continued-pretrained language forks… See the full description on the dataset page: https://huggingface.co/datasets/Cross-Mergeability/merge-accuracy.Accuracy-Is-Not-Enough-FinQA-Dataset
Natively Extended FinQA
Natively Extended FinQA is a long-context derivative of FinQA for numerical reasoning over financial data.
It preserves the FinQA task while increasing the amount of financial context surrounding each question.
Average context increased from approximately:
611 words per question
to:
5,629 words per question
Splits
Hugging Face Split
File
Records
train
long_train.json
6,251
validation
long_dev.json
883
test
long_test.json
1… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Rosen/Accuracy-Is-Not-Enough-FinQA-Dataset.high-accuracy-email-classifier
High-Accuracy Email Classification Dataset
Dataset Description
This dataset contains 12,000+ emails across 6 categories, specifically curated for high-accuracy email classification tasks. The dataset achieves 98%+ classification accuracy with appropriate models.
Categories
The dataset includes emails from the following categories:
Category
Count
Description
Emoji
Forum
~2,000
Forum posts, discussions, and community notifications
🗣️
Promotions
~2… See the full description on the dataset page: https://huggingface.co/datasets/jason23322/high-accuracy-email-classifier.legal-metrology-accuracy-classes
Accuracy classes and maximum permissible errors for trade measuring instruments (EU MID)
Canonical, always-current version: https://referencesource.org/legal-metrology-accuracy-classes/
Machine-readable: https://referencesource.org/legal-metrology-accuracy-classes/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-05
Stale after: 2027-08-05 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 70
Accuracy… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/legal-metrology-accuracy-classes.echidna-accuracy-massive
echidna-accuracy-massive
Echidna RAG assistant — large accuracy-focused extraction/QA dataset.
Contents
accuracy_massive.jsonl (37 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for the Echidna RAG assistant (Michael Anthony Falabella).
echidna-round2-accuracy
echidna-round2-accuracy
Echidna — round 2 accuracy-focused extraction examples.
Contents
round2_accuracy.jsonl (20 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for the Echidna RAG assistant (Michael Anthony Falabella).
echidna-round4-extensive-accuracy
echidna-round4-extensive-accuracy
Echidna — round 4 extensive accuracy extraction examples.
Contents
round4_extensive_accuracy.jsonl (8 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for the Echidna RAG assistant (Michael Anthony Falabella).
high-accuracy-email-classifier-indonesian
High-Accuracy Email Classification Dataset Indonesian Translation
This dataset is an Indonesian translation/adaptation of
jason23322/high-accuracy-email-classifier.
Contribution
The original dataset, labels, IDs, and split membership come from
jason23322/high-accuracy-email-classifier, released under the Apache 2.0 license.
This repository contributes the Indonesian translation:
subject, body, and text are translated into Indonesian.
id, category, and category_id… See the full description on the dataset page: https://huggingface.co/datasets/chairulridjal/high-accuracy-email-classifier-indonesian.