ej / NOTICE

ej 0.0.1: model.ejpack, model card, NOTICE, licences, SHA256SUMS

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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.

	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.