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Tutorials

Datalab Tutorials
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Workflows of Data-Centric AI
Image Classification (pytorch)
Text Classification (transformers)
Tabular Classification (sklearn)
Audio Classification (speechbrain)
Find Dataset-level Issues
Identifying Outliers (pytorch)
Improving Consensus Labels for Multiannotator Data
Multi-Label Classification
Token Classification (text)
Predicted Probabilities via Cross Validation
FAQ

API Reference

classification
filter
rank
count
dataset
outlier
multiannotator
multilabel_classification
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- filter
- rank
- dataset
token_classification
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- filter
- rank
- summary
datalab
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- Datalab guides
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  - Datalab Issue Types
  - Creating Your Own Issues Manager
- datalab
- data
- data_issues
- issue_finder
- factory
- issue_manager
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- report
benchmarking
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- noise_generation
models
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- keras
- fasttext
experimental
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internal
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Guides

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Migrating to v2.x

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v2.0.0
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Datalab Tutorials#

Detecting Common Data Issues with Datalab
Perform Advanced Data Auditing with Datalab
Text Classification
Tabular Classification
Image Classification Label Errors
Audio Classification Label Errors

Datalab: A unified audit to detect all kinds of issues in data and labels

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