amazon-science/real-world-noisy-benchmarks-for-natural-language-understanding

Benchmark test sets for real-world noise phenomena in goal-directed conversations in English.

/ 100

Emerging

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 3 / 25

Maturity 16 / 25

Community 12 / 25

Stars

Forks

Language

—

License

—

Category

Last pushed

Jul 05, 2022

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/amazon-science/real-world-noisy-benchmarks-for-natural-language-understanding"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

luheng/deep_srl

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

sileod/tasksource

Datasets collection and preprocessings framework for NLP extreme multitask learning

loomchild/maligna

Bilingual sengence aligner

CK-Explorer/DuoSubs

Semantic subtitle aligner and merger for bilingual subtitle syncing.

coastalcph/lex-glue

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English