uci
Datasets
All datasets matching “uci”drop
Dataset Card for "drop"
Dataset Summary
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
. DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a
question, perhaps to multiple input positions, and perform discrete operations over them (such as addition, counting, or
sorting). These operations require a much more comprehensive understanding of the content of paragraphs than… See the full description on the dataset page: https://huggingface.co/datasets/ucinlp/drop.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.lichess-uci
Dataset Card for Lichess.org UCI Dataset
Description
The Lichess.org database has been converted to UCI format and uploaded here.
This dataset groups games according to the year and month (yyyymm format) the games took place.
Dataset Structure
Each record in the dataset has the following structure:
{
"Site": "abcd1234",
"Event": "Rated Blitz game",
"White": "player1",
"Black": "player2",
"Result": "1-0",
"UTCDate": "2023-05-21",
"UTCTime":… See the full description on the dataset page: https://huggingface.co/datasets/austindavis/lichess-uci.UCI_HARUCI_drug_reviews
Data Description
This data comes from the UC Irvine Machine Learning Repository. It has been preprocessed to only contain reviews at least 13 or more words in length. The raw data for this
specific dataset can be found here. The base UCI ML url can be found
here.
UCITUnofficial training-ready fork of HaiyangGuo/UCIT
