| --- |
| pretty_name: Muslim Languages Efficiency Eval Samples (10%) |
| license: other |
| license_name: mixed-apache-2.0-cc-by-sa-4.0 |
| language: |
| - ar |
| - fa |
| - ur |
| - bn |
| - id |
| task_categories: |
| - text-generation |
| size_categories: |
| - n<1K |
| --- |
| |
| # Muslim-language LLM efficiency-eval samples (public 10%) |
|
|
| Public **10% stratified sample** of the private dataset |
| [`EfficientLLMInferenceCompetition/efficiency_samples`](https://huggingface.co/datasets/EfficientLLMInferenceCompetition/efficiency_samples). |
|
|
| Workload for the NeurIPS 2026 competition proposal |
| **Efficient LLM Inference for Diverse Muslim Languages and Cultures**. |
|
|
| This repo holds constructed **GuideLLM Poisson traffic** (not model |
| weights). Lengths are measured with the official |
| [`google/gemma-4-31B-it`](https://huggingface.co/google/gemma-4-31B-it) |
| tokenizer **including the chat template**. |
|
|
| Sampling: **seed 42**, **200** conversations (40 per language), |
| preserving the official mix (20/25/15/15/10/15). Some mixed |
| conversations reuse a unique cell, so `processed/` has **184** cells. |
|
|
| ## Files |
|
|
| | Path | Description | |
| | --- | --- | |
| | `mixed/conversations.jsonl` | Primary set: **200** conversations (GuideLLM `conversation_turns`) | |
| | `mixed/sidecar.jsonl` | `example_id` → language / workload join keys | |
| | `mixed/manifest.json` | Mix counts, sample seed, and notes | |
| | `mixed/single_turn.jsonl` | 170-row convenience split | |
| | `mixed/multi_turn.jsonl` | 30-row convenience split | |
| | `processed/{ar,fa,ur,bn,id}/*.jsonl` | Unique cells used by this sample (184) | |
| | `configs/benchmark.yaml` | Frozen protocol (240 s windows, SLOs, λ fractions) | |
| | `NOTICE` | Third-party attribution (Aya Apache-2.0, Wikipedia CC BY-SA 4.0) | |
|
|
| ## Languages (equal 20%) |
|
|
| | Code | Language | Register | *n* | |
| | --- | --- | --- | ---: | |
| | `ar` | Arabic | MSA only (dialects out of scope) | 40 | |
| | `fa` | Persian | Formal; preserve ZWNJ | 40 | |
| | `ur` | Urdu | Native script only (Roman Urdu out of scope) | 40 | |
| | `bn` | Bengali | Standard Bengali | 40 | |
| | `id` | Indonesian | Bahasa Indonesia only | 40 | |
|
|
| ## Workload mix (experimental, not production traffic) |
|
|
| | Workload | Input tokens | Output budget | Mix | *n* | |
| | --- | ---: | ---: | ---: | ---: | |
| | `short_interaction` | 64–512 | 16–128 | 20% | 40 | |
| | `ordinary_single_turn` | 256–2048 | 128–512 | 25% | 50 | |
| | `long_generation` | 256–2048 | 1024–4096 | 15% | 30 | |
| | `long_context_short` | 8192–32768 | 64–512 | 15% | 30 | |
| | `long_prompt_long_generation` | 8192–32768 | 1024–4096 | 10% | 20 | |
| | `multi_turn_replay` | 3–8 turns; 512–16384 accumulated | 64–512 / turn | 15% | 30 | |
|
|
| `output_tokens_count` is a **credit cap** (`max_tokens`), not a forced length. |
|
|
| ## Sources |
|
|
| | Source | URL | License | Role | |
| | --- | --- | --- | --- | |
| | Aya (train) | https://huggingface.co/datasets/CohereForAI/aya_dataset | Apache-2.0 | Short / ordinary seeds | |
| | Wikipedia (ar, fa, ur, bn, id) | MediaWiki API | CC BY-SA 4.0 | Long documents and long-context bundles | |
| |
| Redistribute Wikipedia-derived text under CC BY-SA 4.0 with attribution. |
| See [`NOTICE`](NOTICE). Each mixed row has a `license` field |
| (`Apache-2.0` or `CC BY-SA 4.0`). |
| |
| ## Protocol (summary) |
| |
| - Measurement window: **240 s** (plus 15 s warmup / 15 s cooldown) |
| - SLOs: TTFT **< 10 s**, decode **≥ 20 tok/s** |
| - SUT = successful-user output tokens / window seconds (failed UX → 0) |
| - Score = mean(SUT_L, SUT_M, SUT_H) at 0.3 / 0.6 / 0.9 × λ_ref |
| - Arrivals: Poisson via [GuideLLM](https://github.com/vllm-project/guidellm) |
| |
| ## Load |
| |
| ```python |
| from datasets import load_dataset |
|
|
| ds = load_dataset( |
| "EfficientLLMInferenceCompetition/efficiency_samples_10pct", |
| data_files="mixed/conversations.jsonl", |
| split="train", |
| ) |
| ``` |
| |
