datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tweet-annotation-sensitivity-2
Tweet Annotation Sensitivity Experiment 2: Annotations in Five Experimental Conditions
Attention: This repository contains cases that might be offensive or upsetting. We do not support the views expressed in these hateful posts.
Description
The dataset contains tweet data annotations of hate speech (HS) and offensive language (OL) in five experimental conditions. The tweet data was sampled from the corpus created by Davidson et al. (2017). We selected 3,000 Tweets for our… See the full description on the dataset page: https://huggingface.co/datasets/soda-lmu/tweet-annotation-sensitivity-2.imdb-sensitivity-table
IMDb Movie Sensitivity Dataset
This dataset provides sensitivity scores for movies based on 20 user traits, combining data from:
Does the Dog Die (DDD): Fine-grained content warnings from crowd-sourced votes
IMDb Parent Guide: Coarse-grained severity ratings (Sex & Nudity, Violence & Gore, Profanity, Alcohol/Drugs, Frightening Scenes)
Dataset Configurations
trait_sensitivity (default)
Fused sensitivity scores for 61,424 movies across 20 traits.
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/Dionysianspirit/imdb-sensitivity-table.tweet-annotation-sensitivity-1
Tweet Annotation Sensitivity Experiment 1: Annotation in Six Experimental Conditions
Attention: This repository contains cases that might be offensive or upsetting. We do not support the views expressed in these hateful posts.
Description
We drew a stratified sample of 20 tweets, that were pre-annotated in a study by Davidson et al. (2017) for Hate Speech / Offensive Language / Neither. The stratification was done with respect to majority-voted class and level of… See the full description on the dataset page: https://huggingface.co/datasets/soda-lmu/tweet-annotation-sensitivity-1.ABX-CT-003_collateral_sensitivity_pattern-v0.1ABX-CT-003 Collateral Sensitivity Pattern
Purpose
Detect the paired pattern where resistance to Drug A coincides with increased sensitivity to Drug B.
Core pattern
stress_index high
Drug A MIC crosses a_resistant_cutoff_mg_L
Drug B MIC drops at least 2x vs baseline and reaches a low floor
Drug B drop occurs at the same or next timepoint in v1
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-CT-003_collateral_sensitivity_pattern-v0.1.clinical-quad-eligibility-screen-failure-severity-shift-endpoint-sensitivity-loss-v0.1Clinical Quad Eligibility Screen Failure Severity Shift Endpoint Sensitivity Loss v0.1
Each row is a site week snapshot.
Core quad
Eligibility driftScreen failure rateSeverity shiftEndpoint sensitivity loss
Target
label_primary_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
text_sensitivity_v1