update dataset_info, placement of ds file and test loader script

dataset_info.json

@@ -0,0 +1,51 @@
+{
+    "description": "LibriS2S: A German-English Speech-to-Speech Translation Corpus",
+    "citation": "@inproceedings{jeuris-niehues-2022-libris2s,\n   title = \"{L}ibri{S}2{S}: A {G}erman-{E}nglish Speech-to-Speech Translation Corpus\",\n   author = \"Jeuris, Pedro and Niehues, Jan\",\n   booktitle = \"Proceedings of the Thirteenth Language Resources and Evaluation Conference\",\n   year = \"2022\",\n   url = \"https://aclanthology.org/2022.lrec-1.98\",\n   pages = \"928--935\"\n}",
+    "homepage": "https://huggingface.co/datasets/PedroDKE/LibriS2S",
+    "license": "cc-by-nc-sa-4.0",
+    "features": {
+        "book_id": {
+            "dtype": "int64",
+            "_type": "Value"
+        },
+        "DE_audio": {
+            "_type": "Audio"
+        },
+        "EN_audio": {
+            "_type": "Audio"
+        },
+        "score": {
+            "dtype": "float32",
+            "_type": "Value"
+        },
+        "DE_transcript": {
+            "dtype": "string",
+            "_type": "Value"
+        },
+        "EN_transcript": {
+            "dtype": "string",
+            "_type": "Value"
+        }
+    },
+    "builder_name": "libris2s",
+    "dataset_name": "libris2s",
+    "config_name": "default",
+    "version": {
+        "version_str": "1.0.0",
+        "major": 1,
+        "minor": 0,
+        "patch": 0
+    },
+    "splits": {
+        "train": {
+            "name": "train",
+            "num_bytes": 10171501,
+            "num_examples": 25604,
+            "dataset_name": "libris2s"
+        }
+    },
+    "download_checksums": {},
+    "download_size": 0,
+    "dataset_size": 10171501,
+    "size_in_bytes": 10171501
+}

test_hf_ds_loader.py

@@ -1,8 +1,11 @@
-from datasets import load_dataset, Audio
+from datasets import load_dataset
 
 dataset = load_dataset(
     "PedroDKE/LibriS2S",
     trust_remote_code=True,
+    streaming=True
 )
-dataset = dataset.cast_column("DE_audio", Audio())
-print(dataset["train"][0]["DE_audio"])  # This should return a dict with sampling_rate + path
+
+for row in dataset["train"]:
+    print(row["DE_audio"])
+    break