Update README.md

README.md

@@ -1,4 +1,26 @@
 ---
+license: cc-by-4.0
+language:
+- de
+- en
+- es
+- cs
+- fr
+- hu
+- it
+- nl
+- pt
+- ru
+- sq
+- sv
+tags:
+- speech prompts
+- text prompts
+- instruction following
+- benchmark
+size_categories:
+- 1K<n<10K
+
 dataset_info:
   features:
   - name: text_prompt
@@ -29,6 +51,94 @@ configs:
   - split: test
     path: data/test-*
 ---
-# Dataset Card for "dowis"
+# Do What I Say (DOWIS): A Spoken Prompt Dataset for Instruction-Following
+
+<span style="background-color:#fee2e2; color:#b91c1c; padding:2px 6px; border-radius:4px; font-size:0.85em; font-weight:600;">NEW</span> DOWIS now also contains spoken and written prompts in Albanian (sq), and for the tasks LIPREAD and SLU!
+
+> **TL;DR** — DOWIS is a multilingual dataset of human-recorded spoken and written instruction prompts, designed to enable realistic evaluation of Speech Large Language Models across 11 tasks and 12 languages.
+
+---
+
+## Dataset Summary
+
+Most Speech LLM benchmarks use text-based prompts, which does not reflect how users actually interact with these models in the real world. DOWIS fills this gap by providing human-recorded spoken prompts, paired with their written equivalents, across a wide range of tasks, languages, and prompt styles. Each prompt can be directly paired with any existing speech benchmark to evaluate how well Speech LLMs follow spoken instructions.
+
+The dataset contains **1,320 rows**, with up to 4 audio recordings per row (2 female, 2 male speakers where available), covering:
+- **12 languages**: cs, de, en, es, fr, hu, it, nl, pt, ru, sq, sv
+- **11 tasks**: ACHAP, ASR, MT, S2ST, SQA, SSUM, ST, TSUM, TTS, LIPREAD, SLU
+- **5 prompt styles**: basic, formal, informal, detailed, short
+- **10 prompt variants** per task-language pair
+
+Details can be found in the corresponding paper on [arXiv](https://arxiv.org/abs/2603.09881). 
+
+Code for benchmarking Speech LLMs with different task benchmarks coupled with DOWIS can be found on [GitHub](https://github.com/MaikeZuefle/DOWIS/tree/main).
+
+---
+
+## Tasks
+
+| Task Code | Description |
+|-----------|-------------|
+| ACHAP | Audio Chaptering |
+| ASR | Automatic Speech Recognition |
+| MT | Machine Translation |
+| S2ST | Speech-to-Speech Translation |
+| SQA | Spoken Question Answering |
+| SSUM | Speech Summarization |
+| ST | Speech Translation |
+| TSUM | Text Summarization |
+| TTS | Text-to-Speech |
+| LIPREAD | Lip-Reading |
+| SLU | Spoken Language Understanding |
+
+## Prompt Styles
+
+| Style | Description |
+|-------|-------------|
+| `basic` | Natural, everyday phrasing a researcher would use |
+| `formal` | Professional, polished language |
+| `informal` | Conversational and casual |
+| `detailed` | Explicit and precise instructions on how to perform the task |
+| `short` | Concise as possible while remaining unambiguous |
+
+---
+
+## Dataset Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `text_prompt` | `string` | Written version of the instruction prompt |
+| `audio_prompt_female_1` | `Audio` | Human-recorded female speaker (speaker 1), `null` if unavailable |
+| `audio_prompt_female_2` | `Audio` | Human-recorded female speaker (speaker 2), `null` if unavailable |
+| `audio_prompt_male_1` | `Audio` | Human-recorded male speaker (speaker 1), `null` if unavailable |
+| `audio_prompt_male_2` | `Audio` | Human-recorded male speaker (speaker 2), `null` if unavailable |
+| `language` | `string` | ISO 639-1 language code (e.g. `en`, `de`) |
+| `task` | `string` | Task code the prompt is designed for (e.g. `asr`, `mt`) |
+| `prompt_type` | `string` | Prompt style: `basic`, `formal`, `informal`, `detailed`, or `short` |
+
+---
+
+
+## Citation
+If you use this work, please cite:
+```bibtex
+@misc{züfle2026isayspokenprompt,
+      title={Do What I Say: A Spoken Prompt Dataset for Instruction-Following}, 
+      author={Maike Züfle and
+              Sara Papi and
+              Fabian Retkowski and
+              Szymon Mazurek and
+              Marek Kasztelnik and
+              Alexander Waibel and
+              Luisa Bentivogli and
+              Jan Niehues},
+      year={2026},
+      eprint={2603.09881},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2603.09881}}
+```
+
+---
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+Dataset Contact: maike.zuefle@kit.edu