datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SmallMinesDS
SmallMinesDS
The gradual expansion of unregularized artisanal small-scale gold mining (ASGM) fuels environmental degradation and poses risk to miners and mining communities. To enforce sustainable mining, support reclamation initiatives and pave the way for understudying the impacts of mining, we present SmallMinesDS, a benchmark dataset for mapping artisanal small-scale gold mining from multi-sensor satellite images. The initial version of the dataset covers five districts in… See the full description on the dataset page: https://huggingface.co/datasets/ellaampy/SmallMinesDS.small-magpie
Smaller Magpie
A collection of smaller Magpie datasets compared to agentlans/magpie.
For argilla/magpie-ultra-v0.1, only instructions rated as good or excellent were selected.
output_quality corresponds to the original dataset’s score_difference, which is the gap between instruct model and base model responses as evaluated by a reward model.
Please see the original dataset for details.
Source
Rows
argilla/magpie-ultra-v0.1
43923
Mxode/Magpie-Pro-10K-GPT4o-mini10000
smallm-corpus-textbook
Dataset Card for "smallm-corpus-textbook"
smollm-corpusのCosmopedia v2のセットが大きすぎたので、text-bookの一部を抽出
https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus
small-mind-pmb-v0
PMB v0 — Personalised Memory Benchmark
An evaluation benchmark for long-horizon personalised memory in small language models. It asks
whether a model can recall what a specific user told it across many sessions, and — the part most
memory benchmarks skip — whether it can decline to answer when the memory does not contain the
answer.
Built for small-mind-companion, a study of how much of the long-horizon memory gap a
~2B multimodal model can close without scaling parameters.
Part… See the full description on the dataset page: https://huggingface.co/datasets/arjhinety/small-mind-pmb-v0.Small-Multilingual-CorporaSmall Multilingual Pretraining Copora used in the ICML 2025 Paper: Banyan: Improved Representation Learning with Explicit Structure
It contains the following languages:
Afrikaans: af
Amharic: am
Arabic: ar
English: en
Spanish: es
Hausa: ha
Hindi: hi
Indonesian: id
Marathi: mr
Telugu: te
Each language contains roughly between 10-100 million tokens of pre-training data.
English is a sourced from a subsample of human written English Wikpedia.
Amharic is a subsample of a corpus from the hub… See the full description on the dataset page: https://huggingface.co/datasets/m0pper/Small-Multilingual-Corpora.glam-extraction-benchmark
GLAM extraction benchmark
Structured extraction from cultural-heritage documents. The first configuration is
nls-index-cards: 98 manuscript catalogue cards from the National Library of Scotland.
Source and credits
Derived from NationalLibraryOfScotland/index-cards-eval,
revision 2a81070549d8493c2c538744a9dbbc1dc72cb146 (CC0). Images and checked outputs are preserved.
NLS cataloguers reviewed the model-drafted labels: 66 accepted as drafted, 32 corrected.
Drafting… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/glam-extraction-benchmark.smallm-corpus-story
Dataset Card for "smallm-corpus-story"
smollm-corpusのCosmopedia v2のセットが大きすぎたので、storyの一部を抽出
https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus
synthetic-linkedart-production-destructionbl-crop-tighten-v1
bl-crop-tighten-v1
Training data for crop tightening on the British Library Book Images collection: 7,565 ABBYY picture-block crops (train 6,050 / validation 757 / test 758) with instance boxes and segmentation masks. The splits are book-safe — no book appears in more than one split (4,484 books total).
The labels are weak labels, not human annotations: tiiuae/Falcon-Perception-0.6B ran open-vocabulary segmentation over 8,400 stratified crops (embellishments, plates, medium… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/bl-crop-tighten-v1.small-minute-1855b1
small-minute-1855b1
Synthetic sensors test data: 36 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/lidai926/small-minute-1855b1.synthetic-parsed-names-yaml
Dataset Card for Synthetic Parsed Names (YAML)
This dataset contains approximately 500,000 synthetic examples of complex, unstructured historical names paired with their structured YAML equivalents. It is designed to fine-tune small open-source large language models (LLMs) to accurately parse cultural heritage name strings into isolated components (first names, last names, middle names, dates, titles, etc.) for de-duplication and structured data ingestion.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/synthetic-parsed-names-yaml.synthetic-linkedart-physical-characteristicssmall_MIAindex-card-blank-content
Index-card blank / content / divider classifier — dataset
Cropped single archival index cards labelled blank, content, or divider, for
training a tiny CPU pre-filter that skips blank/divider cards before expensive VLM metadata
extraction in card-catalogue digitisation pipelines.
Two collections: Boston Public Library (BPL) FRC shelf-list cards and National Library
of Scotland (NLS) Advocates Library cards. Styles differ, so evaluate per collection.
How it was made… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/index-card-blank-content.aat-real-world
Real-World AAT Materials Dataset
This dataset contains 189,523 real-world examples of cultural heritage object material descriptions paired with their corresponding Art & Architecture Thesaurus (AAT) material classifications.
Dataset Description
The dataset is designed for training models to extract material information from cultural heritage object descriptions. Each example consists of:
Input: A real material description from cultural heritage collections
Output:… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/aat-real-world.synthetic-aat-materials
Synthetic AAT Materials Dataset
Dataset Description
This dataset contains 1000 synthetic examples of cultural heritage object descriptions paired with their materials as they would appear in the Getty Art & Architecture Thesaurus (AAT). The data is formatted for training conversational AI models, particularly Qwen3, to identify and extract materials from cultural heritage object descriptions.
Dataset Structure
Each example contains:
messages: Conversation… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/synthetic-aat-materials.small-model-schema-gym
Small Model Schema Gym Dataset
Deterministically generated chat examples for first-pass JSON compliance on
the project Dream brief and Safety plan contracts.
Files
train.jsonl: 500 training examples.
validation.jsonl: 200 held-out examples.
manifest.json: counts, seed, provenance, and overlap check.
Each row contains:
{
"id": "stable example identifier",
"messages": [
{"role": "system", "content": "..."},
{"role": "user", "content": "..."}… See the full description on the dataset page: https://huggingface.co/datasets/KwabsHug/small-model-schema-gym.smallm-corpus-story-jasmollm-corpusのCosmopedia v2のセットのstoryをqwen3 8Bで日本語に翻訳したもの
https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus
olmo2_delta_gpt5_vs_smallmodelsindex-card-detection-v3
Dataset Card for Archival Index Card Detection — mixed collections
A training dataset for object detection of index cards in archival scans. Combines four publicly-released collections — NLS Advocates Library single-card pages, US Navy Nurse Corps multi-card biographical sheets, Boston Public Library catalog cards, and Duke Rubenstein manuscript catalog cards — into a single object-detection schema.
Dataset Details
Dataset Description
1,425 archival scans… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/index-card-detection-v3.index-card-detection-v5
Dataset Card for Archival Index Card Detection — v5 (ensemble-relabelled navy)
Refined version of small-models-for-glam/index-card-detection-v3. All NLS / BPL / Rubenstein rows are passed through unchanged. The 25 navy-nurse-corps rows have their bounding boxes re-labelled via a v3+v4 model ensemble plus human review, replacing the SAM3-only bootstrap from v3.
Dataset Details
Dataset Description
Same 1,425-row mixed-collection composition as v3. The… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/index-card-detection-v5.Small-msmarcosmall_mbtisynthetic-parsed-namessmall_molecule_drugsSmaLLMsmall-mmluolmo2_delta_typo_vs_og_smallmodelsSmall-markdownPileV2-axolotlformat-smallmix