datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task903_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task903_deceptive_opinion_spam_classification
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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task903_deceptive_opinion_spam_classification.task902_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task902_deceptive_opinion_spam_classification
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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task902_deceptive_opinion_spam_classification.sms-spam-classificationemail-spam-classification
Email Spam Classification
The dataset consists of a collection of emails categorized into two major classes: spam and not spam. It is designed to facilitate the development and evaluation of spam detection or email filtering systems.
The spam emails in the dataset are typically unsolicited and unwanted messages that aim to promote products or services, spread malware, or deceive recipients for various malicious purposes. These emails often contain misleading subject lines… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/email-spam-classification.zhiznmart-spam-classification
ZhiznMart Spam Classification
Русскоязычный набор сообщений для бинарной классификации спама в Telegram. Данные сформированы на основе сообщений из одного из чатов филиала компании «Жизньмарт» и использовались при разработке систем модерации DespamLy Telegram Bot и LifeMart Safety.
Состав
Файл messages.csv содержит 5 648 строк и два поля:
Поле
Тип
Описание
message
string
Текст сообщения
label
int
0 — не спам, 1 — спам
Распределение классов: 2 953… See the full description on the dataset page: https://huggingface.co/datasets/necrasov-ilya/zhiznmart-spam-classification.spam-classification-datasetSpam_Classificationspam-reviews-vie-classificationhaldonmez_spam-or-ham-a-dataset-for-email-classification
Spam Email Classification Dataset
Mirror of the Kaggle dataset haldonmez/spam-or-ham-a-dataset-for-email-classification by Halil Dönmez, released under CC0: Public Domain. All credit goes to the original author; please cite and link the Kaggle page when using this data.
_ A dataset containing each of the 6 cleaned versions of the spam mail set._
Original description (from Kaggle)
This dataset is a comprehensive collection of email data, categorized into ‘spam’… See the full description on the dataset page: https://huggingface.co/datasets/haoxianc/haldonmez_spam-or-ham-a-dataset-for-email-classification.spam-reviews-vie-classificationsapient-synth-flan-niv2-fsopt-data-task902-deceptive-opinion-spam-classification
sapient-synth-flan-niv2-fsopt-data-task902-deceptive-opinion-spam-classification
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 2935
Task: synthetic anonymous instruction replacement
Generation… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-fsopt-data-task902-deceptive-opinion-spam-classification.spam-reviews-vie-classification
SpamReviews_vie_Classification
Deduplicated copy of kornwtp/spam-reviews-vie-classification.
Splits
split
rows
test
3,972
train
14,242
validation
1,589
spam-email-classification
Dataset Card for Dataset Name
This dataset can serve as an example and golden example dataset for LLM assistant few shot prompts and for evaluation and validation.
Dataset Details
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/vijayagrawal/spam-email-classification.flan_combined_task902_deceptive_opinion_spam_classificationsapient-synth-flan-niv2-fsopt-data-task903-deceptive-opinion-spam-classification
sapient-synth-flan-niv2-fsopt-data-task903-deceptive-opinion-spam-classification
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 1703
Task: synthetic anonymous instruction replacement
Generation… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-fsopt-data-task903-deceptive-opinion-spam-classification.sapient-synth-flan-niv2-zsopt-data-task902-deceptive-opinion-spam-classification
sapient-synth-flan-niv2-zsopt-data-task902-deceptive-opinion-spam-classification
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 1234
Task: synthetic anonymous instruction replacement
Generation… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-zsopt-data-task902-deceptive-opinion-spam-classification.sapient-synth-flan-niv2-zsopt-data-task903-deceptive-opinion-spam-classification
sapient-synth-flan-niv2-zsopt-data-task903-deceptive-opinion-spam-classification
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 865
Task: synthetic anonymous instruction replacement
Generation… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-zsopt-data-task903-deceptive-opinion-spam-classification.Spam-Email-Classification-Using-Naive-Bayes-dataset_677_spam_email_classificationspam-classificationspam-classification-new