Add files using upload-large-folder tool

convert2jsonl.py

@@ -0,0 +1,69 @@
+import os, json, wave
+
+def load_jsonl(file_path):
+    with open(file_path, 'r') as file:
+        d = json.load(file)
+    return d
+
+def write_jsonl(data, output_file):
+    with open(output_file, 'w') as file:
+        for item in data:
+            json.dump(item, file)
+            file.write('\n')
+
+def get_audio_info(audio_path):
+    """
+    Extract duration (seconds), sample_rate (Hz), num_samples (int), bit_depth (bits), and channels (int) from a WAV file.
+    """
+    with wave.open(audio_path, 'rb') as wf:
+        sample_rate = wf.getframerate()
+        num_samples = wf.getnframes()
+        duration = num_samples / float(sample_rate)
+        sample_width = wf.getsampwidth()  # in bytes
+        bit_depth = sample_width * 8      # convert to bits
+        channels = wf.getnchannels()     # number of audio channels
+    return duration, sample_rate, num_samples, bit_depth, channels
+
+def convert_gs_to_jsonl(output_dir="data/GS"):
+    metadata = load_jsonl(os.path.join(output_dir, "giantsteps_clips/meta.json"))
+    train, val, test = [], [], []
+    for uid, info in metadata.items():
+        audio_path = os.path.join(output_dir, "giantsteps_clips", "wav", f"{uid}.wav")
+        ori_uid = info['clip']['audio_uid']
+        split = info['split']
+        label = info['y']
+        try:
+            duration, sr, num_samples, bit_depth, channels = get_audio_info(audio_path)
+        except Exception as e:
+            print(f"Error reading {audio_path}: {e}")
+            continue
+        o = {
+            "audio_path": audio_path,
+            "ori_uid": ori_uid,
+            "label": label,
+            "duration": duration,
+            "sample_rate": sr,
+            "num_samples": num_samples,
+            "bit_depth": bit_depth,
+            "channels": channels
+        }
+        if split == "train":
+            train.append(o)
+        elif split == "valid":
+            val.append(o)
+        elif split == "test":
+            test.append(o)
+        else:
+            print(f"Unknown split {split} for {uid}")
+    os.makedirs(output_dir, exist_ok=True)
+    write_jsonl(train, os.path.join(output_dir, "GS.train.jsonl"))
+    write_jsonl(val, os.path.join(output_dir, "GS.val.jsonl"))
+    write_jsonl(test, os.path.join(output_dir, "GS.test.jsonl"))
+    print(f"train: {len(train)}, val: {len(val)}, test: {len(test)}")
+    print("Conversion completed.")
+
+if __name__ == "__main__":
+    convert_gs_to_jsonl("data/GS")
+    print("GS dataset conversion to JSONL completed.")
+    # train: 3687, val: 942, test: 2406
+        

giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/.gitignore

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+*.mp3
+*.wav

giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/README

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+name:             GiantSteps (key)
+
+contact:          Peter Knees <[email protected]>
+                  Ángel Faraldo <[email protected]>
+                  Richard Vogl <[email protected]>
+
+description:      collection of annotations for 604 2min(1) audio previews from
+                  www.beatport.com
+
+reference:        Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl,
+                  Sebastian Böck, Florian Hörschläger, Mickael Le Goff: "Two data
+                  sets for tempo estimation and key detection in electronic dance
+                  music annotated from user corrections," Proc. of the 16th
+                  Conference of the International Society for Music Information
+                  Retrieval (ISMIR'15), Oct. 2015, Malaga, Spain.
+
+annotations:      key
+
+content:
+=========================================================================
+audio/                   original audio files in mp3 format
+md5/                     md5 hashes of original audio files
+annotations/genre/       genre annotations
+annotations/key/         key annotations
+annotations/giantsteps/  annotations in the GiantSteps project format
+annotations/jams/	 annotations in the JAMS (https://github.com/marl/jams) format
+
+notes:
+=========================================================================
+The audio files (604 files, size ~850Mb) can be downloaded from http://www.beatport.com/
+using the bash script:
+
+./audio_dl.sh
+
+To download the files manually use links of the following form:
+http://geo-samples.beatport.com/lofi/<name of mp3 file>
+e.g.:
+http://geo-samples.beatport.com/lofi/5377710.LOFI.mp3
+
+To convert the audio files to .wav use (bash + sox):
+
+./convert_audio.sh
+
+To retrieve the genre information, the JSON contained within the website was parsed.
+The key annotation was extracted from forum entries of people correcting the key annotations (i.e. manual annotation of tempo).
+For more information please contact creators.
+
+
+(1): Most of the audio files are 120 seconds long. Exceptions are:
+name              length
+1224698.LOFI.mp3  45
+1442809.LOFI.mp3  62
+3424038.LOFI.mp3  77
+4452003.LOFI.mp3  59
+

giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/audio_dl.sh

@@ -0,0 +1,110 @@
+#!/bin/bash -       
+#title           :audio_dl.sh
+#description     :This script will download all audio files for the dataset from beatport.
+#author		 :richard vogl ([email protected])
+#date            :2015 09 16  (2015 07 17)
+#version         :0.2    
+#usage		 :bash audio_dl.sh
+#notes           :uses curl and md5 / md5sum
+#bash_version    :3.2.57(1)-release
+#==============================================================================
+
+md5_for()
+{
+  if builtin command -v md5 > /dev/null; then
+    echo $(cat "$1" | md5 | awk '{print $1}')
+  elif builtin command -v md5sum > /dev/null ; then
+    echo $(cat "$1" | md5sum | awk '{print $1}')
+  else
+    echo "Neither md5 nor md5sum were found in the PATH"
+    return 1
+  fi
+
+  return 0
+}
+
+DEBUG=0
+
+FILES=./md5/*
+
+BASEURL=http://geo-samples.beatport.com/lofi/
+BACKUPBASEURL=http://www.cp.jku.at/datasets/giantsteps/backup/
+AUDIOPATH=./audio/
+
+RED='\033[0;31m'
+NC='\033[0m' # No Color
+YELLOW='\033[1;33m'
+GREEN='\033[0;32m'
+WHITE='\033[1;37m'
+
+errors=$(expr 0)
+successful=$(expr 0)
+backup=$(expr 0)
+totalcount=$(expr 0)
+
+printf "\n"
+
+mkdir ${AUDIOPATH}
+
+for f in $FILES
+do
+    # construct names
+  filename=$(basename "$f")
+  mp3filename="${filename%.*}".mp3
+  mp3url=${BASEURL}${mp3filename}
+  mp3backupurl=${BACKUPBASEURL}${mp3filename}
+  audiofilename=${AUDIOPATH}$mp3filename
+  md5filename=$f
+  
+  if (( $DEBUG > 0 )); then
+    echo $audiofilename
+    echo $md5filename
+    echo $mp3url
+  fi
+  
+  totalcount=$(expr $totalcount + 1)
+  
+  printf "\n${WHITE}Downloading file: $mp3filename ... ${NC} \n"
+
+  # download file and check md5 hash
+  if curl -o"$audiofilename" "$mp3url"; then
+	# md5value=$(md5 -q "$audiofilename")
+	md5value=$(md5_for "$audiofilename")
+  else
+	md5value="0"  
+  fi
+  md5file=$(cat "$md5filename")
+  
+  if (( $DEBUG > 0 )); then
+	printf "MD5 should be: ${md5file}  \n"
+	printf "MD5 is: ${md5value} \n"
+  fi
+ 
+  if [ $md5value = $md5file ]; then
+	printf "${GREEN}MD5 OK!${NC} \n"
+	successful=$(expr $successful + 1)
+  else
+	printf "${YELLOW}MD5 did not match! Downloading from backup location...${NC}  \n"
+	if curl -o"$audiofilename" "$mp3backupurl"; then
+	    md5value=$(md5_for "$audiofilename")
+	else
+             md5value="0"  
+	fi
+	md5file=$(cat "$md5filename")
+	if [ $md5value = $md5file ]; then
+	    printf "${GREEN}MD5 OK!${NC}  \n"
+	    successful=$(expr $successful + 1)
+	    backup=$(expr $backup + 1)
+	else
+	    printf "${RED}MD5 did not match! Giving up for file: ${mp3filename}!${NC}  \n"
+	    errors=$(expr $errors + 1)
+	    rm "$audiofilename"
+	fi
+  fi
+done
+
+printf "\nSummary: \n"
+printf "Files succesfully downloaded: ${successful}/${totalcount}\n"
+printf "Files from backup location: ${backup}/${successful}\n"
+printf "Errors: ${errors}\n"
+

giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/convert_audio.sh

@@ -0,0 +1,17 @@
+#!/bin/bash -       
+#title           :conver_audio.sh
+#description     :This script will convert all audio files of the dataset from mp3 to wav.
+#author		 :richard vogl ([email protected])
+#date            :2015 07 17
+#version         :0.1    
+#usage		 :bash conver_audio.sh
+#notes           :uses sox
+#bash_version    :3.2.57(1)-release
+#==============================================================================
+
+
+for file in ./audio/*.mp3; do
+    printf "Converting : ${file} ..."
+    sox $file ${file%mp3}wav rate 44100 gain -0.1 remix -;
+    printf " done!\n"
+done;

giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1026478.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1041574.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1075123.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1161234.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1194720.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1206025.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1209745.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1234748.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1568217.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1575015.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1650934.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1652412.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1681077.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1682815.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1781139.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1856889.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1964905.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/1981501.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/3129757.LOFI.md5

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giantsteps-key-dataset-c8cb8aad2cb53f165be51ea099d0dc75c64a844f/md5/3390952.LOFI.md5

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