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",
"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 |
[
"6877c7ce44770506c83fcda7",
"6877c7ce44770506c83fcda9",
"6877c7ce44770506c83fcdaa",
"6877c7ce44770506c83fcdab",
"6877c7ce44770506c83fcdac",
"6877c7ce44770506c83fcdad",
"6877c7ce44770506c83fcdae",
"6877c7ce44770506c83fcdaf",
"6877c7ce44770506c83fcdb0",
"6877c7ce44770506c83fcdb9",
"6877c7ce44770506c83fcdba",
"6877c7ce44770506c83fcdbb",
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"6877c7ce44770506c83fcdc0",
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"6877c7ce44770506c83fcdc2",
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"6877c7ce44770506c83fcdcb",
"6877c7ce44770506c83fcdcc",
"6877c7ce44770506c83fcdcd"
] |
[
"6877c81e44770506c83fd182",
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"6877c81e44770506c83fd184",
"6877c81e44770506c83fd185",
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"6877c81e44770506c83fd193",
"6877c81e44770506c83fd194",
"6877c81e44770506c83fd195",
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"6877c81e44770506c83fd198",
"6877c81e44770506c83fd199",
"6877c81e44770506c83fd19a",
"6877c81e44770506c83fd19b",
"6877c81e44770506c83fd19c",
"6877c81e44770506c83fd19d",
"6877c81e44770506c83fd19e",
"6877c81e44770506c83fd19f"
] |
[
"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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Source Data
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Bias, Risks, and Limitations
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Recommendations
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