Datasets:
Tasks:
Audio Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
testing audio dtype change
Browse files
README.md
CHANGED
@@ -21,10 +21,8 @@ configs:
|
|
21 |
- name: metadata
|
22 |
dtype: string
|
23 |
- name: audio
|
24 |
-
|
25 |
-
|
26 |
-
sample_rate: 16000
|
27 |
-
decode: false
|
28 |
- name: source_dataset
|
29 |
dtype: string
|
30 |
- name: id
|
@@ -57,6 +55,26 @@ configs:
|
|
57 |
|
58 |
BEANS-Zero is a **benchmark bioacoustic dataset** designed for zero-shot bioacoustic evaluation tasks. Introduced in the paper [NATURELM-AUDIO: AN AUDIO-LANGUAGE FOUNDATION MODEL FOR BIOACOUSTICS](https://arxiv.org/pdf/2411.07186), this dataset aggregates multiple subsets from both established component datasets and newly curated ones. It is a benchmark dataset only to be used to evaluate audio-text multimodal models that accept a bioacoustic audio input (query audio) and a text prompt (e.g. 'What species is in this audio?') and generate text as output (e.g. "Taeniopygia guttata").
|
59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
60 |
## Dataset Composition
|
61 |
|
62 |
BEANS-Zero combines data from several well-known sources. There are total of 113,679 samples (examples). It consists of two main groups:
|
|
|
21 |
- name: metadata
|
22 |
dtype: string
|
23 |
- name: audio
|
24 |
+
sequence:
|
25 |
+
dtype: double
|
|
|
|
|
26 |
- name: source_dataset
|
27 |
dtype: string
|
28 |
- name: id
|
|
|
55 |
|
56 |
BEANS-Zero is a **benchmark bioacoustic dataset** designed for zero-shot bioacoustic evaluation tasks. Introduced in the paper [NATURELM-AUDIO: AN AUDIO-LANGUAGE FOUNDATION MODEL FOR BIOACOUSTICS](https://arxiv.org/pdf/2411.07186), this dataset aggregates multiple subsets from both established component datasets and newly curated ones. It is a benchmark dataset only to be used to evaluate audio-text multimodal models that accept a bioacoustic audio input (query audio) and a text prompt (e.g. 'What species is in this audio?') and generate text as output (e.g. "Taeniopygia guttata").
|
57 |
|
58 |
+
## Usage
|
59 |
+
```python
|
60 |
+
import numpy as np
|
61 |
+
from datasets import load_dataset
|
62 |
+
|
63 |
+
ds = load_dataset("EarthSpeciesProject/BEANS-Zero", split="test") # set streaming=True if you want to stream
|
64 |
+
|
65 |
+
# see the contents at a glance
|
66 |
+
print(ds)
|
67 |
+
```
|
68 |
+
```python
|
69 |
+
# get audio for a sample
|
70 |
+
audio = np.array(ds[0]["audio"])
|
71 |
+
print(audio.shape)
|
72 |
+
|
73 |
+
# get the instruction (prompt / query) for that sample
|
74 |
+
print(ds[0]["instruction_text"])
|
75 |
+
# the desired output (*only* used for evaluate)
|
76 |
+
print(ds[0]["output"])
|
77 |
+
```
|
78 |
## Dataset Composition
|
79 |
|
80 |
BEANS-Zero combines data from several well-known sources. There are total of 113,679 samples (examples). It consists of two main groups:
|