datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sms_spam
Dataset Card for [Dataset Name]
Dataset Summary
The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research.
It has one collection composed by 5,574 English, real and non-enconded messages, tagged according being legitimate (ham) or spam.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/ucirvine/sms_spam.sms-spam-collection
SMS Spam Collection v.1
DESCRIPTION
The SMS Spam Collection v.1 (hereafter the corpus) is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam.
1.1. Compilation
This corpus has been collected from free or free for research sources at the Web:
A collection of between 425 SMS spam messages extracted manually from the Grumbletext Web… See the full description on the dataset page: https://huggingface.co/datasets/codesignal/sms-spam-collection.verifiable-code-reasoning
Verifiable Code Reasoning
Execution-verified Python problems with chain-of-thought
Sandbox-checked solutions · Multi-test unit checks · Deduplicated instances · Training-ready sft_text
Overview
Verifiable Code Reasoning is a large-scale dataset of Python coding problems where every kept solution has passed sandboxed unit tests.
Unlike scraped contest dumps or unverified LLM traces, an example enters this release only if:
a reference… See the full description on the dataset page: https://huggingface.co/datasets/smshahbaj/verifiable-code-reasoning.india-spam-smsSMS-spamThis dataset can be found on Kaggle, Huggingface and many other websites, but the source is from the research paper [Tiago], whose authors contributed it to
the Machine Learning repository at [UCI]. It contains 5,574 SMS messages, of which 747 massages are labeled as spam.
By nature, the messages are short and, in some cases, quite cryptic and personal.
The CSV file is a straightforward representation of the data.
References
[UCI] https://archive.ics.uci.edu/dataset/228/sms+spam+collection… See the full description on the dataset page: https://huggingface.co/datasets/bvk/SMS-spam.SMS_Spam_Multilingual_Collection_DatasetSMS Spam Multilingual Collection Dataset
Collection of Multilingual SMS messages tagged as spam or legitimate
About Dataset
Context
The SMS Spam Collection is a set of SMS-tagged messages that have been collected for SMS Spam research. It originally contained one set of SMS messages in English of 5,574 messages, tagged according to being ham (legitimate) or spam and later Machine Translated into Hindi, German and French.
The text has been further translated into Spanish, Chinese, Arabic… See the full description on the dataset page: https://huggingface.co/datasets/dbarbedillo/SMS_Spam_Multilingual_Collection_Dataset.sms-spam-classificationSpam_SMS
Description
The Spam SMS is a set of SMS-tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according to being ham (legitimate) or spam.
Source: uciml/sms-spam-collection-dataset
RIFA-Artbook-datasetsms_spam_collectionsms-otp-spam-dataset
📲 SMS OTP Spam Dataset
A synthetic dataset of 10,000 OTP-style SMS messages for spam classification tasks. The dataset includes both valid and spam-like messages, with labels for message validity and delivery status.
📊 Dataset Summary
Total samples: 10,000
Valid messages: 90%
Not valid (spam-like): 10%
Status types: delivered, failed, spam, bounced, expired
Each entry includes:
phone_id: Synthetic phone number
sms_text: Message content
label: valid or not valid… See the full description on the dataset page: https://huggingface.co/datasets/alusci/sms-otp-spam-dataset.sms_spam_categorySMS_Spam_Multilingual_Collection_DatasetSMS Spam Multilingual Collection Dataset
Collection of Multilingual SMS messages tagged as spam or legitimate
About Dataset
Context
The SMS Spam Collection is a set of SMS-tagged messages that have been collected for SMS Spam research. It originally contained one set of SMS messages in English of 5,574 messages, tagged according to being ham (legitimate) or spam and later Machine Translated into Hindi, German and French.
The text has been further translated into Spanish, Chinese, Arabic… See the full description on the dataset page: https://huggingface.co/datasets/KumarSahil299885/SMS_Spam_Multilingual_Collection_Dataset.sms-spam-enriched
SMS Spam Enriched Dataset
An enriched version of the classic SMS Spam Collection Dataset from UC Irvine with additional engineered features and semantic embeddings.This dataset is designed for spam detection, feature engineering experiments, and model interpretability research.
Dataset Overview
Total samples: 5,171
Classes:
0: Ham (non-spam)
1: Spam
Enrichments Added
Alongside the raw SMS text (sms) and labels (label), we engineered multiple new… See the full description on the dataset page: https://huggingface.co/datasets/GenAIDevTOProd/sms-spam-enriched.sms-spam
SMS Spam
The SMS Spam Collection, deduplicated.
The original corpus, assembled by Almeida and Gómez Hidalgo in 2011, contains 5,574 SMS messages tagged as ham (legitimate) or spam. About seven percent of the rows are exact duplicates: the same message text appearing more than once. This release removes them and repairs a small set of encoding artifacts. The messages and labels are otherwise unchanged.
5,159 messages remain: 4,517 ham, 642 spam.
What is in it… See the full description on the dataset page: https://huggingface.co/datasets/jngb-labs/sms-spam.sms-spam-collection-llama2-5kexecution-verified-codework
Execution-Verified CodeWork
Only code that passes the tests ships
Sandbox-executed · ≥6 unit tests · implement / repair / harden · instance-deduplicated
One-sentence pitch
Training traces for writing, fixing, and hardening Python functions — every kept solution was actually run against unit tests and passed.
What you get
Field
Role
kind
implement · repair · harden
problem
Clear developer task
reasoning
Numbered… See the full description on the dataset page: https://huggingface.co/datasets/smshahbaj/execution-verified-codework.india-spam-smsnus_sms_corpussms-spam-combinedSMSSpamSentiment
SMSSpamSentiment
tags: sentiment analysis, spam detection, machine learning
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'SMSSpamSentiment' dataset is a collection of SMS messages labeled with the sentiment of the content, where each message is either classified as 'spam' or 'ham' (non-spam). The dataset includes columns for the SMS message text and a label indicating the sentiment. For this dataset, labels are binary… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/SMSSpamSentiment.probe-robustness-sms_spam
sms_spam
Dataset repo: wrynx/probe-robustness-sms_spam
Auto-generated by prepare_datasets.py. Do not hand-edit -- regenerate by re-running the script (with --force) instead.
Stats
Total records: 5159
Records per split:
test: 804
train: 3604
valid: 751
Number of classes: 2
Records per class:
ham: 4517
spam: 642
Records per class per split:
test:
ham: 708
spam: 96
train:
ham: 3143
spam: 461
valid:
ham: 666
spam: 85
Original dataset README… See the full description on the dataset page: https://huggingface.co/datasets/wrynx/probe-robustness-sms_spam.smsa-ind-classification
SMSA_ind_Classification
Deduplicated copy of kornwtp/smsa-ind-classification.
Splits
split
rows
test
500
train
10,933
validation
1,260
africa-smishing-sms-phishing
SMS Phishing / Smishing (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-smishing-sms-phishing.sms-spam-balanced
SMS Spam Collection (Balanced)
A balanced SMS spam dataset for text classification.
Overview
Property
Value
Total Samples
1,494
Train
1,045 (70%)
Validation
149 (10%)
Test
300 (20%)
Classes
ham (0), spam (1)
Dataset Description
This is a balanced version of the UCI SMS Spam Collection dataset. Originally, the dataset had 5,572 messages with an imbalanced distribution (4,825 ham, 747 spam). We balanced it to 747 ham and 747 spam for… See the full description on the dataset page: https://huggingface.co/datasets/Mustafaege/sms-spam-balanced.bengali-sms-smishing-dataset
Bengali SMS Smishing Dataset
A multilingual SMS dataset for phishing (smishing) detection, covering Bengali, English, Banglish, and Code-Mixed linguistic varieties. Developed as part of the SmishDetect-LLM research framework.
Hugging Face: shariul-islam/bengali-sms-smishing-dataset
Dataset Summary
This dataset contains 7,005 SMS messages annotated across three classification categories and four linguistic varieties. It is the first publicly available smishing… See the full description on the dataset page: https://huggingface.co/datasets/shariul-islam/bengali-sms-smishing-dataset.vietnamese_sms_dataset
Bộ dữ liệu SMS lừa đảo tiếng Việt được đảm bảo chất lượng (Official Release)
(English Below)
Chào mừng bạn đến với kho lưu trữ chính thức của Bộ dữ liệu SMS lừa đảo tiếng Việt được đảm bảo chất lượng.
Đây là một bộ dữ liệu được xây dựng nhằm phục vụ nghiên cứu trong các lĩnh vực an ninh mạng, xử lý ngôn ngữ tự nhiên (NLP) và học máy, với trọng tâm là bài toán phát hiện tin nhắn SMS rác/lừa đảo.
Bộ dữ liệu này được tổng hợp từ các tin nhắn SMS thực tế trong cuộc sống. Không… See the full description on the dataset page: https://huggingface.co/datasets/trannguyenthaituan/vietnamese_sms_dataset.sms_spamtxt-sms-abbreviations
Dataset Card for TXT/SMS Abbreviations
1539 sms/text speak abbreviations. Note we have parsed through NLTK to give a field of whether its generally recognised a whole word. NB: Numbers are NOT noted as words. Be careful with numbers like 4 2 etc in your training data
Dataset Details
Dataset Description
A curated list of abbreviations commonly used in text messages and gaming chat and other places. We have tried to remove explanations and explicitly put a full… See the full description on the dataset page: https://huggingface.co/datasets/willwade/txt-sms-abbreviations.self_rag_tokens_train_data
Self-Rag Tokens Dataset
This dataset is a spin off of the work from Self-Rag training data.
In Self-RAG, the authors show how a LLM can be trained to predict tokens for retrieval, if the context is relevant/irrelevant, if the answer is supported, and how useful the response is.
The limitation of Self-RAG is that you must train the LLM on this task, which can be tricky or cost prohibitive. With rapid developments in LLM performance, investing in training one LLM with Self-RAG may… See the full description on the dataset page: https://huggingface.co/datasets/sms1097/self_rag_tokens_train_data.