metadata
license: cc-by-4.0
language:
- he
pretty_name: Hebrew ToolBench
size_categories:
- n<1K
task_categories:
- text-generation
tags:
- function-calling
- tool-use
- benchmark
- hebrew
- israel
- evaluation
configs:
- config_name: default
data_files:
- split: test
path: data/test.jsonl
Hebrew ToolBench
A Hebrew tool-calling benchmark, modelled on BFCL: 800 single-turn items in Hebrew, 52 Israeli-domain tools, and a deterministic AST scorer (no LLM judge).
It tests what generic benchmarks miss:
- Hebrew mentions that an API needs in English or as an enum ("באר שבע" →
Beer Sheva); - the Jewish calendar and gematria;
- ₪ amounts written in words;
- DD/MM dates and spoken times;
- gendered inflection;
- right-to-left text with embedded IDs.
Code, scorer and raw model outputs: github.com/YuvGev00/hebrew-toolbench
Quick start
import json
from datasets import load_dataset
ds = load_dataset("YuvGev/hebrew-toolbench", split="test")
item = ds[0]
functions = json.loads(item["functions"]) # tool schemas to offer the model
gold = json.loads(item["gold"]) # expected call(s), with every acceptable value
print(item["question"])
To score a model, use the AST scorer in the GitHub repo (uv run hebrew-toolbench run and report). It
handles the acceptable-value lists, defaults and order-free parallel calls.
Fields
| Field | Type | Meaning |
|---|---|---|
id |
string | Item id, e.g. simple_001 |
category |
string | simple (300), multiple (200, pick 1 of 3 tools), parallel (150, 2–4 calls), irrelevance (150, no call is right) |
tags |
list of strings | What the item tests, e.g. canonical_value, hebrew_calendar, currency_ils, date_ddmm, time_words, mixed_direction |
system |
string | System prompt. Every item is anchored to Tuesday 20 Oct 2026, 09:00 (ט׳ בחשוון תשפ״ז), so relative dates have one answer |
question |
string | The user's request, in Hebrew |
functions |
JSON string | Tool schemas (OpenAI function format) |
gold |
JSON string | Expected calls. Each argument lists every acceptable value; [] means no call is correct |
source |
string | v0 (the first 150 items) or the domain pack the item came from |
review |
string | Native-speaker review status (currently pending for every item) |
Results (v1, 2026-10-22)
Accuracy in %, with a 95% Wilson interval. Single turn, tool_choice: auto.
| Model | Overall | 95% CI | simple | multiple | parallel | irrelevance |
|---|---|---|---|---|---|---|
claude-sonnet-5-5 † |
95.8 | 94.1–96.9 | 96.3 | 98.5 | 95.3 | 91.3 |
gemini-3.5-flash |
93.4 | 91.4–94.9 | 96.7 | 97.5 | 95.3 | 79.3 |
claude-haiku-5-5 † |
92.5 | 90.5–94.1 | 93.7 | 95.0 | 90.0 | 89.3 |
gemma-4-31b-it |
90.6 | 88.4–92.5 | 89.3 | 91.5 | 91.3 | 91.3 |
deepseek-v4.1-flash |
90.1 | 87.9–92.0 | 92.7 | 91.0 | 90.7 | 83.3 |
glm-5.3 |
90.1 | 87.9–92.0 | 91.0 | 89.0 | 90.0 | 90.0 |
qwen3.8-27b |
85.9 | 83.3–88.1 | 84.3 | 85.5 | 85.3 | 90.0 |
gemini-3.5-flash-lite |
81.8 | 78.9–84.3 | 85.0 | 90.0 | 82.0 | 64.0 |
minimax-m3.1-flash:free |
59.9 | 56.4–63.2 | 61.3 | 65.5 | 70.7 | 38.7 |
† The items were drafted by Claude (see below), so the two Claude models may have a home advantage.
Main findings:
- The Hebrew calendar is the hardest part for every model. Converting a Hebrew date such as
י״ט בכסלו to a Gregorian date drops most models far below their plain
simplescore. - Near-miss requests cause spurious calls. An offered tool that almost fits (98 octane with a tool that only knows 95) brings models down to 59–89%.
- Writing values in Hebrew where the API expects English appears mainly in the smallest model: 19 of Gemini Flash-Lite's 71 errors on canonical-value items.
How the items were made, and limitations
- Drafting: 650 of the 800 items were drafted by an LLM (Claude) under written authoring rules: native colloquial Hebrew, exactly one correct answer, computed golds. They are not translations.
- Automatic checks: 2,454 tests in CI. Every gold is valid against its schema, every Hebrew date exists
(computed with
pyluach), and questions are unique. - Adjudication: every item that both strong models failed (19) was reviewed by hand; 8 were fixed.
- Native review is pending: no independent native speaker has signed off yet. Treat v1 as a preview.
- Single turn only: there are no multi-turn or executable checks.
License
Data: CC BY 4.0. Code (in the GitHub repo): MIT.
Citation
@misc{geva2026hebrewtoolbench,
title = {Hebrew ToolBench: a Hebrew tool-calling benchmark},
author = {Geva, Yuval},
year = {2026},
url = {https://github.com/YuvGev00/hebrew-toolbench}
}