Update README.md

README.md

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 # Dataset Card for Erhu Playing Technique
 ## Original Content
-This dataset was created and has been utilized for Erhu playing technique detection by [[1]](https://arxiv.org/pdf/1910.09021), which has not undergone peer review. The original dataset comprises 1,253 Erhu audio clips, all performed by professional Erhu players. These clips were annotated according to three hierarchical levels, resulting in annotations for four, seven, and 11 categories. Part of the audio data is sourced from the CTIS dataset described earlier.
+This dataset was created and has been utilized for Erhu playing technique detection by [[1]](https://arxiv.org/pdf/1910.09021), which has not undergone peer review. The original dataset comprises 1,253 Erhu audio clips, all performed by professional Erhu players. These clips were annotated according to three levels, resulting in annotations for four, seven, and 11 categories. Part of the audio data is sourced from the CTIS dataset described earlier.
 
 ## Integration
-We first perform label cleaning to abandon the labels for the four and seven categories, since they do not strictly form a hierarchical relationship, and there are also missing data problems. This process leaves us with only the labels for the 11 categories. Then, we add Chinese character label and Chinese pinyin label to enhance comprehensibility. The 11 labels are: Detache (分弓), Diangong (垫弓), Harmonic (泛音), Legato\slide\glissando (连弓\滑音\连音), Percussive (击弓), Pizzicato (拨弦), Ricochet (抛弓), Staccato (断弓), Tremolo (震音), Trill (颤音), and Vibrato (揉弦). After integration, the data structure contains six columns: audio (with a sampling rate of 44,100 Hz), mel spectrograms, numeric label, Italian label, Chinese character label, and Chinese pinyin label. The total number of audio clips remains at 1,253, with a total duration of 25.81 minutes. The average duration is 1.24 seconds.
+We first perform label cleaning to abandon the labels for the four and seven categories, since there are also missing data problems. This process leaves us with only the labels for the 11 categories. Then, we add Chinese character label and Chinese pinyin label to enhance comprehensibility. The 11 labels are: Detache (分弓), Diangong (垫弓), Harmonic (泛音), Legato\slide\glissando (连弓\滑音\连音), Percussive (击弓), Pizzicato (拨弦), Ricochet (抛弓), Staccato (断弓), Tremolo (震音), Trill (颤音), and Vibrato (揉弦). After integration, the data structure contains six columns: audio (with a sampling rate of 44,100 Hz), mel spectrograms, numeric label, Italian label, Chinese character label, and Chinese pinyin label. The total number of audio clips remains at 1,253, with a total duration of 25.81 minutes. The average duration is 1.24 seconds.
 
 We constructed the <a href="#11-class-subset">default subset</a> of the current integrated version dataset based on its 11 classification data and optimized the names of the 11 categories. The data structure can be seen in the [viewer](https://huggingface.co/datasets/ccmusic-database/erhu_playing_tech/viewer). Although the original dataset has been cited in some articles, the experiments in those articles lack reproducibility. In order to demonstrate the effectiveness of the default subset, we further processed the data and constructed the [eval subset](#eval-subset) to supplement the evaluation of this integrated version dataset. The results of the evaluation can be viewed in [[2]](https://huggingface.co/ccmusic-database/erhu_playing_tech). In addition, the labels of categories 4 and 7 in the original dataset were not discarded. Instead, they were separately constructed into [4_class subset](#4-class-subset) and [7_class subset](#7-class-subset). However, these two subsets have not been evaluated and therefore are not reflected in our paper.
 
@@ -260,34 +260,6 @@ GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/erhu_playing
 cd erhu_playing_tech
 ```
 
-## Dataset Creation
-### Curation Rationale
-Lack of a dataset for Erhu playing tech
-
-### Source Data
-#### Initial Data Collection and Normalization
-Zhaorui Liu, Monan Zhou
-
-#### Who are the source language producers?
-Students from CCMUSIC
-
-### Annotations
-#### Annotation process
-This dataset is an audio dataset containing 927 audio clips recorded by the China Conservatory of Music, each with a performance technique of erhu.
-
-#### Who are the annotators?
-Students from CCMUSIC
-
-## Considerations for Using the Data
-### Social Impact of Dataset
-Advancing the Digitization Process of Traditional Chinese Instruments
-
-### Discussion of Biases
-Only for Erhu
-
-### Other Known Limitations
-Not Specific Enough in Categorization
-
 ## Additional Information
 ### Dataset Curators
 Zijin Li