ZeroPoint
Copyright 2026 Javier Marín

This product includes a model derived from multilingual-e5-small (intfloat/multilingual-e5-small on the
Hugging Face Hub), by Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder and Furu Wei
(Microsoft), published under the MIT License:

    Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
    associated documentation files (the "Software"), to deal in the Software without restriction, including
    without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the
    following conditions:

    The above copyright notice and this permission notice shall be included in all copies or substantial
    portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
    LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO
    EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
    IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
    THE USE OR OTHER DEALINGS IN THE SOFTWARE.

The model was trained on the following datasets, used under their licences:

- CLINC150 (Larson et al., 2019), CC BY 3.0
- Banking77 (Casanueva et al., 2020), PolyAI, CC BY 4.0
- MASSIVE (FitzGerald et al., 2023), Amazon, English and Spanish, CC BY 4.0
- Bitext customer support, retail banking, insurance and telco datasets, Bitext Innovations,
  CDLA-Sharing 1.0
- 5,000 examples written for this project

Details are in docs/training-data.md.
