Add dataset_infos.json for 2-class and 4-class meter classification configurations

configs/2_classes/dataset_infos.json

@@ -0,0 +1,53 @@
+{
+  "description": "Meter2800 dataset configured for 2-class meter classification.",
+  "citation": "@misc{meter2800_dataset,\n  author       = {PianistProgrammer},\n  title        = {{Meter2800}: A Dataset for Music Time signature detection / Meter Classification},\n  year         = {2025},\n  publisher    = {Hugging Face},\n  url          = {https://huggingface.co/datasets/pianistprogrammer/Meter2800}\n}",
+  "homepage": "https://huggingface.co/datasets/pianistprogrammer/Meter2800",
+  "license": "mit",
+  "features": {
+    "filename": { "dtype": "string", "_type": "Value" },
+    "audio": { "sampling_rate": null, "_type": "Audio" },
+    "label": { "names": ["three", "four"], "_type": "ClassLabel" }, 
+    "meter": { "dtype": "string", "_type": "Value" },
+    "alt_meter": { "dtype": "string", "_type": "Value" }
+  },
+  "supervised_keys": {
+    "input": "audio",
+    "output": "label"
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 0,
+      "num_examples": 1440,
+      "dataset_name": "train_2_classes"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 0,
+      "num_examples": 360,
+      "dataset_name": "val_2_classes"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 0,
+      "num_examples": 600,
+      "dataset_name": "test_2_classes"
+    }
+  },
+  "download_checksums": {
+    "data_train_2_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_train_2_classes.csv",
+        "checksum": null
+    },
+    "data_val_2_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_val_2_classes.csv",
+        "checksum": null
+    },
+    "data_test_2_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_test_2_classes.csv",
+        "checksum": null
+    }
+  },
+  "dataset_size": 0,
+  "size_in_bytes": 0
+}

configs/4_classes/dataset_infos.json

@@ -0,0 +1,53 @@
+{
+  "description": "Meter2800 dataset configured for 4-class meter classification.",
+  "citation": "@misc{meter2800_dataset,\n  author       = {PianistProgrammer},\n  title        = {{Meter2800}: A Dataset for Music Time signature detection / Meter Classification},\n  year         = {2025},\n  publisher    = {Hugging Face},\n  url          = {https://huggingface.co/datasets/pianistprogrammer/Meter2800}\n}",
+  "homepage": "https://huggingface.co/datasets/pianistprogrammer/Meter2800",
+  "license": "mit",
+  "features": {
+    "filename": { "dtype": "string", "_type": "Value" },
+    "audio": { "sampling_rate": null, "_type": "Audio" },
+    "label": { "names": ["three", "four", "five", "seven"], "_type": "ClassLabel" },
+    "meter": { "dtype": "string", "_type": "Value" },
+    "alt_meter": { "dtype": "string", "_type": "Value" }
+  },
+  "supervised_keys": {
+    "input": "audio",
+    "output": "label"
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 0,
+      "num_examples": 1680,
+      "dataset_name": "train_4_classes"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 0,
+      "num_examples": 420,
+      "dataset_name": "val_4_classes"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 0,
+      "num_examples": 700,
+      "dataset_name": "test_4_classes"
+    }
+  },
+  "download_checksums": {
+    "data_train_4_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_train_4_classes.csv",
+        "checksum": null 
+    },
+    "data_val_4_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_val_4_classes.csv",
+        "checksum": null
+    },
+    "data_test_4_classes.csv": {
+        "url": "https://huggingface.co/datasets/pianistprogrammer/Meter2800/resolve/main/data_test_4_classes.csv",
+        "checksum": null
+    }
+  },
+  "dataset_size": 0,
+  "size_in_bytes": 0
+}