Datasets:
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",
"not_bo",
"not_bo",
"bo",
"bo",
"bo",
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"bo",
"bo",
"bo",
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"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,
0.9999999997057638,
1,
0.9999998807907104,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1
] | null | [
"68fcefa81869571f6aa42b13",
"68fcefa81869571f6aa42b15",
"68fcefa81869571f6aa42b16",
"68fcefa81869571f6aa42b17",
"68fcefa81869571f6aa42b18",
"68fcefa81869571f6aa42b19",
"68fcefa81869571f6aa42b1a",
"68fcefa81869571f6aa42b1b",
"68fcefa81869571f6aa42b1c",
"68fcefa81869571f6aa42b25",
"68fcefa81869571... | [
"68fcefe91869571f6aa42efa",
"68fcefe91869571f6aa42efb",
"68fcefe91869571f6aa42efc",
"68fcefe91869571f6aa42efd",
"68fcefe91869571f6aa42efe",
"68fcefe91869571f6aa42eff",
"68fcefe91869571f6aa42f00",
"68fcefe91869571f6aa42f01",
"68fcefe91869571f6aa42f02",
"68fcefe91869571f6aa42f03",
"68fcefe91869571... | [
"bo",
"not_bo"
] | (none) |
Dataset Card for bo-dataset
This is a FiftyOne dataset with 169 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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