Add task categories and benchmarking usage

README.md

@@ -1,5 +1,4 @@
 ---
-license: cc-by-4.0
 language:
 - de
 - en
@@ -13,14 +12,21 @@ language:
 - ru
 - sq
 - sv
+license: cc-by-4.0
+size_categories:
+- 1K<n<10K
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+- translation
+- summarization
+- audio-to-audio
+- question-answering
 tags:
 - speech prompts
 - text prompts
 - instruction following
 - benchmark
-size_categories:
-- 1K<n<10K
-
 dataset_info:
   features:
   - name: text_prompt
@@ -51,6 +57,7 @@ configs:
   - split: test
     path: data/test-*
 ---
+
 <p align="center">
   <img src="https://github.com/MaikeZuefle/DOWIS/blob/64f807de73bfe1e5ad6e2d07a62c642afb076ad7/dowis_logo.png?raw=true" alt="DOWIS" width="400"/>
 </p>
@@ -75,7 +82,7 @@ The dataset contains **1,320 rows**, with up to 4 audio recordings per row (2 fe
 
 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).
+Code for benchmarking Speech LLMs with different task benchmarks coupled with DOWIS can be found on [GitHub](https://github.com/MaikeZuefle/DOWIS).
 
 ---
 
@@ -107,6 +114,35 @@ Code for benchmarking Speech LLMs with different task benchmarks coupled with DO
 
 ---
 
+## Benchmarking Usage
+
+The following instructions for inference and evaluation are provided in the official GitHub repository.
+
+### Inference
+Run `main.py` with the following arguments to start inference:
+
+```bash
+python main.py \
+  --lang de \
+  --model phi_multimodal \
+  --task ASR \
+  --out_folder outputs
+```
+
+### Evaluation
+The evaluation script `eval_outputs.py` computes metrics on the generated predictions.
+
+```bash
+python eval_outputs.py \
+  --lang de \
+  --model phi_multimodal \
+  --task ASR \
+  --predictions_folder outputs \
+  --out_folder evaluation_results
+```
+
+---
+
 ## Dataset Fields
 
 | Field | Type | Description |