datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MA_Query_Expansion_MLT26score-benchmark-dataml-table-retrieval-benchmarks
ML Table Retrieval Benchmarks
Benchmark data for ml-table-retrieval: queries, database schemas, and SQLite databases for evaluating table-set retrieval and reranking.
Download everything with:
pip install huggingface_hub
python -c "from huggingface_hub import snapshot_download; snapshot_download('Rubyando59/ml-table-retrieval-benchmarks', repo_type='dataset', local_dir='data')"
or, from inside the ml-table-retrieval repo, python scripts/download_data.py (pulls only the splits… See the full description on the dataset page: https://huggingface.co/datasets/Rubyando59/ml-table-retrieval-benchmarks.MLT_RealMLT2019Semitic_heb_arb_mlt_trainHerems2.5-MLT-Labeled
Herems2.5-MLT-Labeled
Dataset Description
This dataset is an enhanced version of Korea-MES/Herems2.5 with additional metadata columns:
token_len: Number of tokens in the answer (using Qwen2.5-0.5B-Instruct tokenizer)
mlt: Maximum Length Token label indicating token length range
g_score: Grice informativeness score (0.0 - 1.0+, rounded to 4 decimals)
Columns
question: Original question text
answer: Original answer text
token_len: Number of tokens in the… See the full description on the dataset page: https://huggingface.co/datasets/Korea-MES/Herems2.5-MLT-Labeled.ocr-mlt-50m
OCR-MLT-50M: Multilingual OCR Corpus
A large-scale multilingual OCR dataset spanning 50 languages and 50.2 million image-text pairs.Designed for training and evaluating robust multilingual text recognition systems across diverse scripts and domains.
📄 Paper |
🤗 Model |
🔥 Demo |
💻 GitHub |
🏆 Leaderboard |
📊 Weights & Biases
🔥 News
[2025-11-15] OCR-MLT-50M is now available on Hugging Face! Download here
[2025-10-28] Our paper is accepted at CVPR 2025!… See the full description on the dataset page: https://huggingface.co/datasets/interfaze-ai/ocr-mlt-50m.gold-price
FINAL_USO Dataset
Overview
The FINAL_USO dataset is a comprehensive collection of financial data, including stock prices, volumes, and other relevant metrics for various market indices and individual securities. This dataset is particularly suited for financial analysis, time series forecasting, and market trend analysis.
Dataset Structure
The dataset is provided as a single CSV file named FINAL_USO.csv. It contains 1,718 entries and 80 columns, each… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/gold-price.ml-tutor-datasetDriveLM-MLT-Fullkakugo-mlt
Kakugo Maltese dataset
[Paper] [Code] [Model]
A synthetically generated conversation dataset for training in Maltese.
This dataset contains synthetic conversational data and translated instructions designed to train Small Language Models (SLMs) for Maltese. It was generated using the Kakugo pipeline, a method for distilling high-quality capabilities from a large teacher model into low-resource language models. The teacher model used to generate this dataset was… See the full description on the dataset page: https://huggingface.co/datasets/ptrdvn/kakugo-mlt.financial-sentiment-analysis
Model Card for Sentiment Analysis on Financial News
Overview
This dataset contains sentiments for financial news headlines from the perspective of a retail investor. The data is derived from the research by Malo et al. (2014), which focuses on detecting semantic orientations in economic texts.
Dataset Details
Source: Malo, P., Sinha, A., Takala, P., Korhonen, P., and Wallenius, J. (2014). “Good debt or bad debt: Detecting semantic orientations in economic… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/financial-sentiment-analysis.anyword-mltreddit-mlt-dataset-balancedDriveLM-MLT-SampleDolci-Multiturn-MLT
Dolci-Instruct-SFT Multi-turn MLT Dataset
Overview
Total Samples: 1,665,239
Train Samples: 1,661,837 (멀티턴)
Test Samples: 2,000 (단일턴 - 마지막 턴만 추출)
Total Assistant Messages: 1,668,023
MLT Labels: 10
Data Format (Train & Test 동일 스키마)
{
"id": "sample_id",
"messages": [
{"role": "user", "content": "질문"},
{"role": "assistant", "content": "답변"}
],
"mlt": ["[MLT:50]"],
"source": "dolci-instruct-sft"
}
Train: 멀티턴 (messages에 여러 턴, mlt도 여러 개)
Test:… See the full description on the dataset page: https://huggingface.co/datasets/Korea-MES/Dolci-Multiturn-MLT.Herems2.5-MLT-Balanced-GScore-0.0-0.4-MLT150PlusHerems2.5-MLT-LengthBalancedyaruo-mlt-aa
Japanese AA (Shift_JIS art) — MLT収集所 collection v32.0
1,381,069 individual AA pieces parsed from the 15,002 MLT compilation files of the
やる夫スレ用MLT収集所
(Yaruo-thread MLT Collection), the community-maintained archive of 2channel/5channel
ASCII art. Obtained from the collection's official まとめzip
(mlt_v32_0.zip, 2026-06-27, distributed via AAHub /
AAMZ Viewer).
This is, to our knowledge, the largest machine-readable corpus of human-made text art
ever assembled: ~25 years of Japanese… See the full description on the dataset page: https://huggingface.co/datasets/1anon8anon1/yaruo-mlt-aa.glot500_mlt_Latn_testml-tagstrl-mlt-2Tulu3-Multiturn-MLT
Tulu-3 SFT Mixture Multi-turn MLT Dataset
Overview
Total Samples: 743,472
Train Samples: 741,463 (멀티턴)
Test Samples: 2,000 (단일턴 - 마지막 턴만 추출)
Total Assistant Messages: 781,924
MLT Labels: 10
Data Format (Train & Test 동일 스키마)
{
"id": "sample_id",
"messages": [
{"role": "user", "content": "질문"},
{"role": "assistant", "content": "답변"}
],
"mlt": ["[MLT:50]"],
"source": "tulu-3-sft-mixture"
}
Train: 멀티턴 (messages에 여러 턴, mlt도 여러 개)
Test: 단일턴 (마지막… See the full description on the dataset page: https://huggingface.co/datasets/Korea-MES/Tulu3-Multiturn-MLT.glot500_mlt_Latn_trainspam-classify
Spam Classification Dataset
Overview
The Spam Classification Dataset contains a collection of SMS messages labeled as either "spam" or "ham" (non-spam). This dataset is designed for binary text classification tasks, where the goal is to classify an SMS message as either spam or non-spam based on its content.
Dataset Structure
The dataset is provided as a single CSV file named spam.csv. It contains 5,572 entries, with each entry corresponding to an SMS message.… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/spam-classify.wine-clustering
Wine Clustering Dataset
Overview
The Wine Clustering Dataset contains data on various chemical properties of wines, intended for use in clustering tasks. This dataset is ideal for exploring clustering algorithms such as K-Means, hierarchical clustering, and others, to group wines based on their chemical composition.
Dataset Structure
The dataset is provided as a single CSV file named wine-clustering.csv. It contains 178 entries, each representing a unique wine… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/wine-clustering.reddit-mlt-datasetglot500_mlt_Latn_devML_TEST