Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
---
|
| 2 |
dataset_name: AnomalyMachine-50K
|
| 3 |
license: cc-by-4.0
|
| 4 |
task_categories:
|
|
@@ -18,7 +18,6 @@ size_categories:
|
|
| 18 |
pretty_name: AnomalyMachine-50K
|
| 19 |
---
|
| 20 |
|
| 21 |
-
|
| 22 |
### Dataset Summary
|
| 23 |
|
| 24 |
**AnomalyMachine-50K** is a fully synthetic industrial machine sound anomaly detection dataset designed for research on acoustic monitoring, predictive maintenance, and sound event detection.
|
|
@@ -235,7 +234,7 @@ If you use this dataset in your research, please cite it as:
|
|
| 235 |
```bibtex
|
| 236 |
@dataset{anomalymachine50k_2026,
|
| 237 |
title = {AnomalyMachine-50K: Synthetic Industrial Machine Sound Anomaly Dataset},
|
| 238 |
-
author = {
|
| 239 |
year = {2026},
|
| 240 |
publisher = {Hugging Face},
|
| 241 |
howpublished = {\url{https://huggingface.co/datasets/AnomalyMachine-50K}}
|
|
@@ -265,4 +264,4 @@ The original generation pipeline is implemented using:
|
|
| 265 |
|
| 266 |
All parameters (number of clips, machine types, anomaly types, SNR levels, and split ratios) are controlled via a single YAML configuration file so that the dataset can be regenerated at any scale.
|
| 267 |
|
| 268 |
-
|
|
|
|
| 1 |
+
[---
|
| 2 |
dataset_name: AnomalyMachine-50K
|
| 3 |
license: cc-by-4.0
|
| 4 |
task_categories:
|
|
|
|
| 18 |
pretty_name: AnomalyMachine-50K
|
| 19 |
---
|
| 20 |
|
|
|
|
| 21 |
### Dataset Summary
|
| 22 |
|
| 23 |
**AnomalyMachine-50K** is a fully synthetic industrial machine sound anomaly detection dataset designed for research on acoustic monitoring, predictive maintenance, and sound event detection.
|
|
|
|
| 234 |
```bibtex
|
| 235 |
@dataset{anomalymachine50k_2026,
|
| 236 |
title = {AnomalyMachine-50K: Synthetic Industrial Machine Sound Anomaly Dataset},
|
| 237 |
+
author = {Anonymous},
|
| 238 |
year = {2026},
|
| 239 |
publisher = {Hugging Face},
|
| 240 |
howpublished = {\url{https://huggingface.co/datasets/AnomalyMachine-50K}}
|
|
|
|
| 264 |
|
| 265 |
All parameters (number of clips, machine types, anomaly types, SNR levels, and split ratios) are controlled via a single YAML configuration file so that the dataset can be regenerated at any scale.
|
| 266 |
|
| 267 |
+
]()
|