datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hate_speech_offensive
Dataset Card for [Dataset Name]
Dataset Summary
An annotated dataset for hate speech and offensive language detection on tweets.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English (en)
Dataset Structure
Data Instances
{
"count": 3,
"hate_speech_annotation": 0,
"offensive_language_annotation": 0,
"neither_annotation": 3,
"label": 2, # "neither"
"tweet": "!!! RT @mayasolovely: As a woman you… See the full description on the dataset page: https://huggingface.co/datasets/tdavidson/hate_speech_offensive.mats-gf-tda-planted-corpus
Planted-ground-truth corpus for training-data attribution
A ~160M-token continued-pretraining mix with exactly-known planted ground
truth: every document carries a source label and a planted flag, so any
training-data-attribution method can be scored as retrieval (precision@k /
recall / MRR of the planted documents) against a model fine-tuned on this
corpus. The companion model trained on exactly this corpus (same document
order) is
siddharthmb/mats-gf-olmo3-7b-planted-beliefs;… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/mats-gf-tda-planted-corpus.tdataraw-2star-charades
STAR + Charades private research source
Private research copy used by the GRN experiment.
Sources:
STAR Benchmark: https://github.com/csbobby/STAR_Benchmark
Charades: https://prior.allenai.org/projects/charades
The original STAR and Charades licenses and terms remain applicable.
Do not make this repository public without verifying redistribution rights.
tda-gnn-scientific-retrievaltdatarawtdataraw-3-19tda_for_proteinsTDA-tutorialqwen-1.5b-epi-tda-blindspots
Discovered Blind Spots
The model exhibited severe blind spots at the intersection of public health, localized African contexts, and advanced computational math. Specifically:
Hyper-Local Context: It hallucinates generic African stereotypes when asked about specific structural drivers of HIV in Kisumu, Kenya, completely missing documented socioeconomic factors.
Interdisciplinary Math: It fails to connect Topological Data Analysis (TDA) to epidemiological data structures, confusing… See the full description on the dataset page: https://huggingface.co/datasets/Gro97/qwen-1.5b-epi-tda-blindspots.td-academyTDAR_Eval-GPQATDAR_Eval-LiveCodeBenchTDA_MethodtdavidsonTDAR_Eval-Math500T_datasetTDAR_Eval-AMC23tda_proteinsautotrain-data-20mz-k0nd-nqy1
Dataset Card for "autotrain-data-20mz-k0nd-nqy1"
More Information needed
guanaco-llama2-1kTDAR_Eval-AIME24TDAR_Eval-AIME25p2-etf-tda-macro-filtration-resultstdatapscript