Datasets:
Dataset Viewer
cls
string | custom_metrics
null | ytrue
list | ypred
list | confs
list | weights
null | ytrue_ids
list | ypred_ids
list | classes
list | missing
string |
|---|---|---|---|---|---|---|---|---|---|
fiftyone.utils.eval.classification.ClassificationResults
| null |
[
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo"
] |
[
"bo",
"bo",
"bo",
"bo",
"bo",
"bo",
"not_bo",
"bo",
"bo",
"bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo",
"not_bo"
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | null |
[
"6895dd90f25a85a405498cfd",
"6895dd91f25a85a405498cff",
"6895dd91f25a85a405498d00",
"6895dd91f25a85a405498d01",
"6895dd91f25a85a405498d02",
"6895dd91f25a85a405498d03",
"6895dd91f25a85a405498d04",
"6895dd91f25a85a405498d05",
"6895dd91f25a85a405498d06",
"6895dd91f25a85a405498d0f",
"6895dd91f25a85a405498d10",
"6895dd91f25a85a405498d11",
"6895dd91f25a85a405498d12",
"6895dd91f25a85a405498d13",
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"6895dd91f25a85a405498d16",
"6895dd91f25a85a405498d17",
"6895dd91f25a85a405498d18",
"6895dd91f25a85a405498d19",
"6895dd91f25a85a405498d1a",
"6895dd91f25a85a405498d1b",
"6895dd91f25a85a405498d1c",
"6895dd91f25a85a405498d1d",
"6895dd91f25a85a405498d1e",
"6895dd91f25a85a405498d1f",
"6895dd91f25a85a405498d20",
"6895dd91f25a85a405498d21",
"6895dd91f25a85a405498d22",
"6895dd91f25a85a405498d23"
] |
[
"6895ddf8f25a85a4054990e0",
"6895ddf8f25a85a4054990e1",
"6895ddf8f25a85a4054990e2",
"6895ddf8f25a85a4054990e3",
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"6895ddf8f25a85a4054990e5",
"6895ddf8f25a85a4054990e6",
"6895ddf8f25a85a4054990e7",
"6895ddf8f25a85a4054990e8",
"6895ddf8f25a85a4054990e9",
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"6895ddf8f25a85a4054990ed",
"6895ddf8f25a85a4054990ee",
"6895ddf8f25a85a4054990ef",
"6895ddf8f25a85a4054990f0",
"6895ddf8f25a85a4054990f1",
"6895ddf8f25a85a4054990f2",
"6895ddf8f25a85a4054990f3",
"6895ddf8f25a85a4054990f4",
"6895ddf8f25a85a4054990f5",
"6895ddf8f25a85a4054990f6",
"6895ddf8f25a85a4054990f7",
"6895ddf8f25a85a4054990f8",
"6895ddf8f25a85a4054990f9",
"6895ddf8f25a85a4054990fa",
"6895ddf8f25a85a4054990fb",
"6895ddf8f25a85a4054990fc",
"6895ddf8f25a85a4054990fd"
] |
[
"bo",
"not_bo"
] |
(none)
|
Dataset Card for bo-dataset
This is a FiftyOne dataset with 172 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("andandandand/bo_or_not")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
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- Language(s) (NLP): en
- License: mit
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Curation Rationale
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Source Data
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Bias, Risks, and Limitations
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