datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dynamically-Generated-Hate-Speech-Dataset
Dataset Card for dynamically generated hate speech dataset
Dataset Summary
This is a copy of the Dynamically-Generated-Hate-Speech-Dataset, presented in this paper by
Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela
Original README from GitHub
Dynamically-Generated-Hate-Speech-Dataset
ReadMe for v0.2 of the Dynamically Generated Hate Speech Dataset from Vidgen et al. (2021). If you use the dataset, please cite our paper in the… See the full description on the dataset page: https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset.weibo-opinion-dynamic-single-dim
Weibo Sentiment Evolution Dataset
This dataset contains Weibo posts and their associated comment threads used for studying sentiment evolution and opinion dynamics in social media discussions.
The dataset is distributed as a single JSON Lines file:
weibo_dataset.jsonl
Each line is one Weibo post record. Comments for that post are embedded in the comments field.
Dataset Details
Number of post records: 1,379
Number of embedded comments: 93,569
Number of Weibo… See the full description on the dataset page: https://huggingface.co/datasets/hreyulog/weibo-opinion-dynamic-single-dim.stratasynth-belief-dynamics
StrataSynth Belief Dynamics
Part of the StrataSynth Synthetic Identity Engineering corpus.
2,114 turns · 100 conversations · 23 columns per turn
The most psychologically demanding dataset in the corpus. Grief, chronic illness, career crisis — scenarios where beliefs are under maximum and sustained pressure. The belief_resolution field drops measurably across pure_conflict arcs and recovers in reconnection arcs. Every trajectory is causal, not random.
Complexity level: 5 —… See the full description on the dataset page: https://huggingface.co/datasets/StrataSynth/stratasynth-belief-dynamics.alignment_recovery_dynamics_v01Clarus Alignment Recovery Dynamics v0.1
This dataset measures recovery after an alignment flip.
Focus
Not only whether a system flips
But whether it can recover
And whether it relapses under renewed pressure
Design
One row per step
Steps form a trajectory grouped by case_id
A recovery window defines how quickly recovery must occur
Columns
flip_signal_expected
none, early_warning, flip, cascade
first_flip_step_expected
First step where a flip is expected, or -1
recovery_expected
true if… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alignment_recovery_dynamics_v01.