Ecosyste.ms: Awesome
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awesome-nlp-chatbot-benchmarks
List of benchmarks to evaluate the quality of your intent matching and entity recognition chatbot components
https://github.com/xatkit-bot-platform/awesome-nlp-chatbot-benchmarks
- **NLU Evaluation Corpora** - group/nlp.js/blob/master/docs/v3/benchmarking.md).
- **Home automation corpora** - robot interaction in home domain. 25K entries. The [Slurp](https://github.com/pswietojanski/slurp) dataset adds to this textual data the corresponding acoustic data to test voice bots.
- **Massive**
- **Clinc** - of-Scope predictions.
- **Kaggle dataset**
- **HINT3**
- **Banking77** - grained set of intents in a banking domain. It comprises 13,083 customer service queries labeled with 77 intents.
- **XitXat**
- **OpenAssistant Conversations Dataset (OASST1)** - generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees.
- Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
- Benchmarking Natural Language Understanding Services for building Conversational Agents
- https://github.com/niderhoff/nlp-datasets
- building your own chatbot platform
Programming Languages