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README.md

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+---
+configs:
+  - config_name: default
+    data_files:
+      - split: ne_deva
+        path: data/ne_deva.jsonl
+      - split: ne_latn
+        path: data/ne_latn.jsonl
+license: apache-2.0
+language:
+- ne
+- en
+task_categories:
+- text-generation
+tags:
+- function-calling
+- tool-use
+- nepali
+- sharegpt
+- hermes
+- synthetic
+size_categories:
+- 1K<n<10K
+---
+
+# hermes-function-calling-nepali
+
+Single-turn function calling with the user request re-spoken in Nepali — Devanagari
+(`ne_deva`) and romanized Latin (`ne_latn`) — voice-assistant style, with tool calls
+verified against the English ground truth. Tool schemas and expected calls are unchanged
+from [NousResearch/hermes-function-calling-v1](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1)
+(`func_calling_singleturn`); only the user turn was localized.
+
+Generated with [HimalayaAI/gymkhana](https://github.com/HimalayaAI/gymkhana)'s
+`multilingual-tool-use` environment:
+
+1. **Localizer** (`gpt-5.6-luna-pro`) rewrites the English request as a Nepali speaker
+   would say it to a voice assistant. A deterministic gate rejects rewrites that drop an
+   identifier-like argument value, URL or e-mail the tool needs, or that are in the wrong
+   script.
+2. **Policy** (`deepseek-v4-flash-0731`) gets the English tool schemas via native tool
+   calling plus the Nepali request; its provider-returned reasoning is captured.
+3. **Verifier**: calls must match the English ground truth exactly (name and arguments,
+   all calls present, order-independent). A row is exported only if one of 4 rollouts
+   matched; that rollout is the one exported.
+
+Both models served via Nous Portal.
+
+## Splits
+
+| split | script | rows |
+|---|---|---|
+| `ne_deva` | Nepali, Devanagari | 584 |
+| `ne_latn` | Nepali, romanized Latin | 602 |
+
+543 source rows appear in both splits — same request and ground truth in two scripts,
+useful for measuring script transfer.
+
+## Columns
+
+- `id`
+- `conversations`
+- `tools`
+- `category`
+- `subcategory`
+- `task`
+- `target_language`
+- `source_query`
+- `expected_tool_calls`
+- `localizer_model`
+- `policy_model`
+
+`conversations` is ShareGPT in Hermes format: `system` carries the tool schemas inside
+`<tools>`, `human` is the Nepali request, `gpt` carries reasoning inside `<think>…</think>`
+followed by `<tool_call>…</tool_call>` blocks. `tools` and `expected_tool_calls` are JSON
+strings.
+
+## Example (`ne_latn`)
+
+```
+human: Mero project ko naya feature review ko lagi ready cha. Pahila feature_branch lai
+       origin remote repository ma push gardinu, ani feature_branch bata main branch ko
+       lagi pull request banaidinu.
+gpt:   <think>The user wants two things: push the branch, then open a PR …</think>
+       <tool_call>{"name": "push_branch_to_remote", "arguments": {"branch_name": "feature_branch", "remote_name": "origin"}}</tool_call>
+       <tool_call>{"name": "create_pull_request", "arguments": {...}}</tool_call>
+```
+
+## Stats
+
+- rows: 1186 (584 + 602)
+- source rows attempted per script: 1090 (first 1100 of `func_calling_singleturn`)
+- excluded: localization gate (dropped values or wrong script), and rows where no rollout
+  of 4 reproduced the ground-truth calls
+
+## License
+
+Apache-2.0, inherited from the source dataset.