ej Copyright 2026 Saket Bhushan. Code (this repository: ej/, benchmarks/, docs/, examples/, tests/, scripts/) is licensed under the Apache License, Version 2.0 (see LICENSE). The model weights (distributed separately from this repository, at https://huggingface.co/5ak3t/ej) are licensed under CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/; full text in LICENSES/CC-BY-SA-4.0.txt). ej model weights 0.0.1 ---------------------- This model is a modified version of intfloat/e5-small-v2 (MIT License; Wang et al., arXiv:2212.03533; revision ffb93f3bd4047442299a41ebb6fa998a38507c52): vocabulary trimmed, weights compressed and re-trained by distillation. MIT licence text: LICENSES/MIT-e5-small-v2.txt. The upstream repository declares "license: mit" in its model card metadata but ships no LICENSE file, so the copyright line there names the authors of intfloat/e5-small-v2. Training data. Every dataset below was converted to typed questions and re-sampled: modified. - Typed Decisions. Creator: the publishers of the Hugging Face dataset LocalLLaMA/typed-decisions. Link: https://huggingface.co/datasets/LocalLLaMA/typed-decisions Licence: Apache-2.0, https://www.apache.org/licenses/LICENSE-2.0. Modified: yes (converted; gold teacher distributions kept). - Banking77. Creator: PolyAI (Casanueva et al., 2020, "Efficient Intent Detection with Dual Sentence Encoders"). Link: https://huggingface.co/datasets/PolyAI/banking77 Licence: CC BY 4.0, https://creativecommons.org/licenses/by/4.0/. Modified: yes (choice questions, leak-free distractors). - CLINC150 (config "plus"). Creator: Clinc (Larson et al., 2019, "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction"). Link: https://huggingface.co/datasets/clinc/clinc_oos Licence: CC BY 3.0, https://creativecommons.org/licenses/by/3.0/. Modified: yes (choice questions, leak-free distractors). - GoEmotions (simplified). Creator: Google Research (Demszky et al., 2020, "GoEmotions: A Dataset of Fine-Grained Emotions"). Link: https://huggingface.co/datasets/google-research-datasets/go_emotions Licence: Apache-2.0, https://www.apache.org/licenses/LICENSE-2.0. Modified: yes (single-label rows, balanced, choice questions). - In-house support-ticket corpus written with Claude Haiku (Anthropic, claude-haiku-4-5-20251001); not released. Distillation signals (fit time only; no teacher weights are included): a decision encoder fine-tuned on the same pool, and the NLI cross-encoder cross-encoder/nli-deberta-v3-xsmall (Apache-2.0; Creator: the sentence-transformers project, Hugging Face organisation "cross-encoder"; Link: https://huggingface.co/cross-encoder/nli-deberta-v3-xsmall; trained on SNLI (CC BY-SA 4.0) and MultiNLI), whose outputs on pool texts are distilled into the model. Not used: Amazon counterfactual (amazon-research/amazon-multilingual-counterfactual-dataset), whose upstream licence is CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/), although the mteb/amazon_counterfactual mirror declares CC BY 4.0. Evaluation data (benchmark suites; not training data) ----------------------------------------------------- MASSIVE (Amazon, FitzGerald et al., 2022; https://huggingface.co/datasets/AmazonScience/massive; CC BY 4.0, https://creativecommons.org/licenses/by/4.0/; modified: leak-free option sets). Typed Decisions test split (as above). zs_wide: Super-NaturalInstructions permissive tasks, Schema-Guided Dialogue (CC BY-SA 4.0), ABCD (MIT) and GLM-synthetic workflows generated with glm-4.7; suite files are not distributed. Open licence questions (disclosed, not resolved; the owners decide) ------------------------------------------------------------------- Q1 Claude Haiku outputs (780 training records): whether the provider terms that applied when the tickets were generated allow training openly released weights on them, and what licence the corpus itself carries, are not recorded. Q2 Typed Decisions gold distributions: which model produced the dataset's teacher distributions used as gold probabilities, and whether its output terms impose conditions, is not recorded. Q3 MultiNLI licence split (which genres are CC BY-SA 3.0 and which OANC terms) and whether distillation counts as an adaptation; relevant to 0.0.1 (part of it is distilled from a cross-encoder trained on MultiNLI). Q4 GoEmotions source texts are Reddit comments: the dataset is Apache-2.0, but the platform terms for the comment texts were not reviewed. Adaptations of the weights must be shared under CC BY-SA 4.0 or a compatible licence, with attribution. Benchmark adapters ------------------ benchmarks/rivals/ calls third-party models through their own packages, servers or APIs; no third-party source code is copied into this repository. Those models keep their own licences and terms (benchmarks/METHOD.md). "Jev" and "System One" are names used by TypeSafe.ai; ej is not affiliated with or endorsed by TypeSafe.ai.