Datasets:

ccmusic-database
/

instrument_timbre

@@ -138,7 +138,7 @@ configs:
 # Dataset Card for Chinese Musical Instruments Timbre Evaluation Database
 The original dataset is sourced from the [National Musical Instruments Timbre Evaluation Dataset](https://ccmusic-database.github.io/en/database/ccm.html#shou4), which includes subjective timbre evaluation scores using 16 terms such as bright, dark, raspy, etc., evaluated across 37 Chinese instruments and 24 Western instruments by Chinese participants with musical backgrounds in a subjective evaluation experiment. Additionally, it contains 10 spectrogram analysis reports for 10 instruments.
-Based on the aforementioned original dataset, after data processing, we have constructed the [default subset](#usage) of the current integrated version of the dataset, dividing the Chinese section and the Western section into two splits. Each split consists of multiple data entries, with each entry structured across 18 columns. The Chinese split includes 37 entries, while the Western split comprises 24 entries. The first column of each data entry presents the instrument recordings in .wav format, sampled at a rate of 44,100 Hz. The second column provides the Chinese pinyin or English name of the instrument. The following 16 columns correspond to the 9-point scores of the 16 terms. This dataset is suitable for conducting timbre analysis of musical instruments and can also be utilized for various single or multiple regression tasks related to term scoring. The data structure of the default subset can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/dataPeview).
 ## Dataset Structure
 <style>
@@ -189,12 +189,14 @@ Chinese, English
 ```python
 from datasets import load_dataset
-ds = load_dataset("ccmusic-database/instrument_timbre")
-for item in ds["Chinese"]:
-    print(item)
-for item in ds["Western"]:
-    print(item)
 ```
 ## Maintenance

 # Dataset Card for Chinese Musical Instruments Timbre Evaluation Database
 The original dataset is sourced from the [National Musical Instruments Timbre Evaluation Dataset](https://ccmusic-database.github.io/en/database/ccm.html#shou4), which includes subjective timbre evaluation scores using 16 terms such as bright, dark, raspy, etc., evaluated across 37 Chinese instruments and 24 Western instruments by Chinese participants with musical backgrounds in a subjective evaluation experiment. Additionally, it contains 10 spectrogram analysis reports for 10 instruments.
+Based on the aforementioned original dataset, after data processing, we have constructed the [default subset](#usage) of the current integrated version of the dataset, dividing the Chinese section and the Western section into two splits. Each split consists of multiple data entries, with each entry structured across 18 columns. The Chinese split includes 37 entries, while the Western split comprises 24 entries. The first column of each data entry presents the instrument recordings in .wav format, sampled at a rate of 44,100 Hz. The second column provides the Chinese pinyin or English name of the instrument. The following 16 columns correspond to the 9-point scores of the 16 terms. This dataset is suitable for conducting timbre analysis of musical instruments and can also be utilized for various single or multiple regression tasks related to term scoring. The data structure of the default subset can be viewed in the [viewer](https://huggingface.co/datasets/ccmusic-database/instrument_timbre/viewer).
 ## Dataset Structure
 <style>
 ```python
 from datasets import load_dataset
+ds = load_dataset(
+    "ccmusic-database/instrument_timbre",
+    name="default",
+    split="Chinese",  # Chinese / Western
+    cache_dir="./__pycache__",
+)
+for i in ds:
+    print(i)
 ```
 ## Maintenance