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🦀 ClawHub

Dataset Finder

by @anisafifi

Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to "find datasets", "search for data", "download dataset from Kaggle", "get data from Hugging Face", "find ML datasets", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installatio

Versionv0.1.0

Downloads2,558

Stars⭐ 1

#data #legal #education #automation

View on ClawHub →

TERMINAL

clawhub install dataset-finder

📖 About This Skill

name: dataset-finder description: "Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to \"find datasets\", \"search for data\", \"download dataset from Kaggle\", \"get data from Hugging Face\", \"find ML datasets\", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installation from clawhub.ai." license: Proprietary

Dataset Finder

Search, download, and explore datasets from multiple repositories including Kaggle, Hugging Face, UCI ML Repository, and Data.gov. Preview statistics, generate data cards, and manage datasets for machine learning projects.

⚠️ Prerequisite: Install OpenClawCLI (Windows, MacOS)

Installation:

# Standard installation
pip install kaggle datasets pandas huggingface-hub requests beautifulsoup4
If you encounter permission errors, use a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install kaggle datasets pandas huggingface-hub requests beautifulsoup4

Never use --break-system-packages as it can damage your system's Python installation.

Quick Reference

| Task | Command | |------|---------| | Search Kaggle | python scripts/dataset.py kaggle search "housing prices" | | Download Kaggle dataset | python scripts/dataset.py kaggle download "username/dataset-name" | | Search Hugging Face | python scripts/dataset.py huggingface search "sentiment" | | Download HF dataset | python scripts/dataset.py huggingface download "dataset-name" | | Search UCI ML | python scripts/dataset.py uci search "classification" | | Preview dataset | python scripts/dataset.py preview dataset.csv | | Generate data card | python scripts/dataset.py datacard dataset.csv --output README.md | | List local datasets | python scripts/dataset.py list |

Core Features

1. Multi-Repository Search

Search across multiple data repositories from a single interface.

Supported Sources:

Kaggle - ML competitions and community datasets

Hugging Face - NLP, vision, and audio datasets

UCI ML Repository - Classic ML datasets

Data.gov - US government open data

Local - Manage downloaded datasets

2. Dataset Download

Download datasets with automatic format detection.

Supported formats:

CSV, TSV

JSON, JSONL

Parquet

Excel (XLSX, XLS)

ZIP archives

HDF5

Feather

3. Dataset Preview

Get quick statistics and insights without loading entire datasets.

Preview features:

Shape (rows × columns)

Column names and types

Missing value counts

Basic statistics (mean, std, min, max)

Memory usage

Sample rows

4. Data Card Generation

Automatically generate dataset documentation.

Includes:

Dataset description

Schema information

Statistics summary

Usage examples

License information

Citation details

Repository-Specific Commands

Kaggle

Search and download datasets from Kaggle.

Setup: 1. Get Kaggle API credentials from https://www.kaggle.com/settings 2. Place kaggle.json in ~/.kaggle/ (Linux/Mac) or %USERPROFILE%\.kaggle\ (Windows)

# Search datasets
python scripts/dataset.py kaggle search "house prices"
Search with filters
python scripts/dataset.py kaggle search "NLP" --file-type csv --sort-by hotness
Download dataset
python scripts/dataset.py kaggle download "zillow/zecon"
Download specific files
python scripts/dataset.py kaggle download "username/dataset" --file "train.csv"
List dataset files
python scripts/dataset.py kaggle list "username/dataset-name"

Search options:

--file-type - Filter by file type (csv, json, etc.)

--license - Filter by license type

--sort-by - Sort by hotness, votes, updated, or relevance

--max-results - Limit number of results

Output:

1. House Prices - Advanced Regression Techniques Owner: zillow/zecon Size: 1.5 MB Last updated: 2023-06-15 Downloads: 150,000+ URL: https://www.kaggle.com/datasets/zillow/zecon

2. Housing Prices Dataset Owner: username/housing-data Size: 850 KB Last updated: 2023-08-20 Downloads: 50,000+ URL: https://www.kaggle.com/datasets/username/housing-data

Hugging Face Datasets

Search and download datasets from Hugging Face Hub.

# Search datasets
python scripts/dataset.py huggingface search "sentiment analysis"
Search with filters
python scripts/dataset.py huggingface search "NLP" --task text-classification --language en
Download dataset
python scripts/dataset.py huggingface download "imdb"
Download specific split
python scripts/dataset.py huggingface download "imdb" --split train
Download specific configuration
python scripts/dataset.py huggingface download "glue" --config mrpc
Stream large datasets
python scripts/dataset.py huggingface download "large-dataset" --streaming

Search options:

--task - Filter by task (text-classification, translation, etc.)

--language - Filter by language code

--multimodal - Include multimodal datasets

--benchmark - Only benchmark datasets

--max-results - Limit results

Output:

1. IMDB Movie Reviews Dataset ID: imdb Tasks: sentiment-classification Languages: en Size: 84.1 MB Downloads: 1M+ URL: https://huggingface.co/datasets/imdb

2. Stanford Sentiment Treebank Dataset ID: sst2 Tasks: sentiment-classification Languages: en Size: 7.4 MB Downloads: 500K+ URL: https://huggingface.co/datasets/sst2

UCI ML Repository

Search and download classic ML datasets.

# Search datasets
python scripts/dataset.py uci search "classification"
Search by characteristics
python scripts/dataset.py uci search "regression" --min-samples 1000
Download dataset
python scripts/dataset.py uci download "iris"
Download with metadata
python scripts/dataset.py uci download "wine-quality" --include-metadata

Search options:

--task-type - classification, regression, clustering

--min-samples - Minimum number of instances

--min-features - Minimum number of features

--data-type - tabular, text, image, time-series

Output:

1. Iris Dataset ID: iris Task: classification Samples: 150 Features: 4 Classes: 3 Missing values: No URL: https://archive.ics.uci.edu/ml/datasets/iris

2. Wine Quality ID: wine-quality Task: classification/regression Samples: 6497 Features: 11 Missing values: No URL: https://archive.ics.uci.edu/ml/datasets/wine+quality

Data.gov

Search US government open data.

# Search datasets
python scripts/dataset.py datagov search "census"
Search with organization filter
python scripts/dataset.py datagov search "health" --organization "cdc.gov"
Search by topic
python scripts/dataset.py datagov search "education" --tags "schools,students"
Download dataset
python scripts/dataset.py datagov download "dataset-id"

Search options:

--organization - Filter by publishing organization

--tags - Filter by tags (comma-separated)

--format - Filter by format (csv, json, xml, etc.)

--max-results - Limit results

Output:

1. 2020 Census Demographic Data
   Organization: census.gov
   Format: CSV
   Size: 125 MB
   Last updated: 2023-01-15
   Tags: census, demographics, population
   URL: https://catalog.data.gov/dataset/...

Dataset Management

Preview Datasets

Get quick insights without loading entire datasets.

# Basic preview
python scripts/dataset.py preview data.csv
Detailed statistics
python scripts/dataset.py preview data.csv --detailed
Custom sample size
python scripts/dataset.py preview data.csv --sample 20
Multiple files
python scripts/dataset.py preview train.csv test.csv

Output:

Dataset: train.csv Shape: 1000 rows × 15 columns Size: 2.5 MB Memory usage: 120 KB Columns: - id (int64): no missing values - name (object): 5 missing values - age (int64): no missing values - income (float64): 12 missing values - category (object): no missing values Numeric columns statistics: age income count 1000.0 988.0 mean 35.2 65432.1 std 12.5 25000.0 min 18.0 20000.0 max 75.0 150000.0 Categorical columns: - category: 5 unique values - name: 995 unique values

Sample (first 5 rows): id name age income category 0 1 John Doe 35 65000.0 A 1 2 Jane Doe 28 55000.0 B 2 3 Bob Smith 42 85000.0 A ...

Generate Data Cards

Create standardized dataset documentation.

# Generate data card
python scripts/dataset.py datacard dataset.csv --output DATACARD.md
Include statistics
python scripts/dataset.py datacard dataset.csv --include-stats --output README.md
Custom template
python scripts/dataset.py datacard dataset.csv --template custom_template.md
Multiple datasets
python scripts/dataset.py datacard train.csv test.csv --output-dir datacards/

Generated data card includes:

Dataset description

File information (size, format, rows, columns)

Schema (column names, types, descriptions)

Statistics (distributions, missing values, correlations)

Sample data

Usage examples

License and citation

Known issues/limitations

Example output (DATACARD.md):

# Dataset Card: Housing Prices
Dataset Description
This dataset contains housing prices and features for regression analysis.
Dataset Information
Format: CSV
Size: 1.2 MB
Rows: 1,460
Columns: 81
Schema
| Column | Type | Description | Missing |
|--------|------|-------------|---------|
| Id | int64 | Unique identifier | 0 |
| MSSubClass | int64 | Building class | 0 |
| LotArea | int64 | Lot size in sq ft | 0 |
| SalePrice | int64 | Sale price | 0 |
...
Statistics
Numerical features: 38
Categorical features: 43
Missing values: 19 columns affected
Target variable: SalePrice (range: $34,900 - $755,000)
Usage

python import pandas as pd df = pd.read_csv('housing_prices.csv')


License
Creative Commons

List Local Datasets

Manage downloaded datasets.

# List all datasets
python scripts/dataset.py list
List with details
python scripts/dataset.py list --detailed
Filter by source
python scripts/dataset.py list --source kaggle
Filter by size
python scripts/dataset.py list --min-size 100MB --max-size 1GB

Output:

Local Datasets (5 total, 2.5 GB): 1. zillow/zecon (Kaggle) Downloaded: 2024-01-15 Size: 1.5 MB Files: train.csv, test.csv Location: datasets/kaggle/zillow/zecon/ 2. imdb (Hugging Face) Downloaded: 2024-01-20 Size: 84.1 MB Splits: train, test, unsupervised Location: datasets/huggingface/imdb/

3. iris (UCI ML) Downloaded: 2024-01-18 Size: 4.5 KB Files: iris.data, iris.names Location: datasets/uci/iris/

Common Workflows

Machine Learning Project Setup

Find and download datasets for a new ML project.

# Step 1: Search for relevant datasets
python scripts/dataset.py kaggle search "house prices" --max-results 10 --output search_results.json
Step 2: Download selected dataset
python scripts/dataset.py kaggle download "zillow/zecon"
Step 3: Preview the data
python scripts/dataset.py preview datasets/kaggle/zillow/zecon/train.csv --detailed
Step 4: Generate documentation
python scripts/dataset.py datacard datasets/kaggle/zillow/zecon/train.csv --output DATACARD.md

NLP Project Dataset Collection

Gather text datasets for NLP tasks.

# Search Hugging Face for sentiment datasets
python scripts/dataset.py huggingface search "sentiment" --task text-classification --language en
Download multiple datasets
python scripts/dataset.py huggingface download "imdb"
python scripts/dataset.py huggingface download "sst2"
python scripts/dataset.py huggingface download "yelp_polarity"
Preview each dataset
python scripts/dataset.py list --source huggingface

Dataset Comparison

Compare multiple datasets for selection.

# Search across repositories
python scripts/dataset.py kaggle search "titanic" --output kaggle_results.json
python scripts/dataset.py uci search "classification" --output uci_results.json
Preview candidates
python scripts/dataset.py preview candidate1.csv --output stats1.txt
python scripts/dataset.py preview candidate2.csv --output stats2.txt
Generate comparison data cards
python scripts/dataset.py datacard candidate1.csv candidate2.csv --output-dir comparison/

Building a Dataset Library

Organize datasets for team use.

# Create organized structure
mkdir -p datasets/{kaggle,huggingface,uci,custom}
Download datasets with metadata
python scripts/dataset.py kaggle download "dataset1" --output-dir datasets/kaggle/
python scripts/dataset.py huggingface download "dataset2" --output-dir datasets/huggingface/
Generate data cards for all
python scripts/dataset.py datacard datasets/**/*.csv --output-dir datacards/
Create inventory
python scripts/dataset.py list --detailed --output inventory.json

Data Quality Assessment

Assess dataset quality before use.

# Preview with detailed statistics
python scripts/dataset.py preview dataset.csv --detailed --output quality_report.txt
Check for issues
python scripts/dataset.py validate dataset.csv --check-missing --check-duplicates --check-outliers
Generate comprehensive data card
python scripts/dataset.py datacard dataset.csv --include-stats --include-quality --output QA_REPORT.md

Advanced Features

Batch Download

Download multiple datasets at once.

# Create download list
cat > datasets.txt << EOF
kaggle:zillow/zecon
kaggle:username/housing
huggingface:imdb
uci:iris
EOF
Batch download
python scripts/dataset.py batch-download datasets.txt --output-dir datasets/

Dataset Conversion

Convert between formats.

# CSV to Parquet
python scripts/dataset.py convert data.csv --format parquet --output data.parquet
Excel to CSV
python scripts/dataset.py convert data.xlsx --format csv --output data.csv
JSON to CSV
python scripts/dataset.py convert data.json --format csv --output data.csv

Dataset Splitting

Split datasets for ML workflows.

# Train/test split
python scripts/dataset.py split data.csv --train 0.8 --test 0.2
Train/val/test split
python scripts/dataset.py split data.csv --train 0.7 --val 0.15 --test 0.15
Stratified split
python scripts/dataset.py split data.csv --stratify target_column --train 0.8 --test 0.2

Dataset Merging

Combine multiple datasets.

# Concatenate datasets
python scripts/dataset.py merge file1.csv file2.csv --output combined.csv
Join on key
python scripts/dataset.py merge left.csv right.csv --on id --how inner --output joined.csv

Best Practices

Search Strategy

1. Start broad - Use general keywords first 2. Refine iteratively - Add filters based on results 3. Check multiple sources - Different repositories have different strengths 4. Review metadata - Check size, format, license before downloading

Download Management

1. Check size first - Use search to see dataset size 2. Preview before download - When possible, preview samples 3. Organize by source - Keep repository structure clear 4. Track downloads - Use list command to manage local datasets

Data Quality

1. Always preview - Check data before using 2. Generate data cards - Document all datasets 3. Validate data - Check for missing values, outliers 4. Keep metadata - Save original descriptions and licenses

Storage

1. Use version control - Track dataset versions 2. Compress when possible - Use Parquet or HDF5 for large datasets 3. Clean regularly - Remove unused datasets 4. Backup important data - Keep copies of critical datasets

Troubleshooting

Installation Issues

"Missing required dependency"

# Install all dependencies
pip install kaggle datasets pandas huggingface-hub requests beautifulsoup4
Or use virtual environment
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

"Kaggle API credentials not found" 1. Go to https://www.kaggle.com/settings 2. Click "Create New API Token" 3. Save kaggle.json to: - Linux/Mac: ~/.kaggle/ - Windows: %USERPROFILE%\.kaggle\ 4. Set permissions: chmod 600 ~/.kaggle/kaggle.json

"Hugging Face authentication required"

# Login to Hugging Face
huggingface-cli login
Or set token
export HF_TOKEN="your_token_here"

Search Issues

"No results found"

Try broader search terms

Remove restrictive filters

Check spelling

Try different repository

"Search timeout"

Check internet connection

Repository may be down temporarily

Try again in a few minutes

Download Issues

"Download failed"

Check internet connection

Verify dataset still exists

Check available disk space

Try downloading specific files

"Permission denied"

Some datasets require accepting terms

May need API credentials

Check dataset license

"Out of memory"

Use streaming for large datasets

Download in chunks

Use Parquet instead of CSV

Preview Issues

"Cannot load dataset"

Check file format

Verify file is not corrupted

Try specifying encoding: --encoding utf-8

"Preview too slow"

Use smaller sample size

Preview first N rows only

Use format-specific tools

Command Reference

python scripts/dataset.py [OPTIONS] COMMANDS: kaggle Kaggle operations (search, download, list) huggingface Hugging Face operations uci UCI ML Repository operations datagov Data.gov operations preview Preview dataset statistics datacard Generate dataset documentation list List local datasets batch-download Download multiple datasets convert Convert dataset formats split Split dataset for ML merge Combine datasets KAGGLE: search QUERY Search Kaggle datasets --file-type Filter by file type --license Filter by license --sort-by Sort results --max-results Limit results download DATASET Download Kaggle dataset --file Download specific file --output-dir Output directory HUGGING FACE: search QUERY Search HF datasets --task Filter by task --language Filter by language --max-results Limit results download DATASET Download HF dataset --split Specific split --config Configuration --streaming Stream large datasets UCI: search QUERY Search UCI datasets --task-type Filter by task --min-samples Minimum samples download DATASET Download UCI dataset PREVIEW: preview FILE Preview dataset --detailed Detailed statistics --sample N Sample size DATACARD: datacard FILE Generate data card --output Output file --include-stats Include statistics --template Custom template LIST: list List local datasets --detailed Show details --source Filter by source

HELP: --help Show help

Examples by Use Case

Quick Dataset Search

# Find housing datasets
python scripts/dataset.py kaggle search "housing"
Find NLP datasets
python scripts/dataset.py huggingface search "sentiment" --task text-classification
Find classic ML datasets
python scripts/dataset.py uci search "classification"

Download and Preview

# Download from Kaggle
python scripts/dataset.py kaggle download "zillow/zecon"
Preview the data
python scripts/dataset.py preview datasets/kaggle/zillow/zecon/train.csv --detailed
Generate documentation
python scripts/dataset.py datacard datasets/kaggle/zillow/zecon/train.csv

Multi-Source Search

# Search all repositories
python scripts/dataset.py kaggle search "titanic" --output kaggle.json
python scripts/dataset.py huggingface search "titanic" --output hf.json
python scripts/dataset.py uci search "classification" --output uci.json
Compare results
cat kaggle.json hf.json uci.json

Dataset Management

# List all downloaded datasets
python scripts/dataset.py list --detailed
Preview multiple datasets
python scripts/dataset.py preview *.csv
Generate data cards for all
python scripts/dataset.py datacard *.csv --output-dir datacards/

Support

For issues or questions: 1. Check this documentation 2. Run python scripts/dataset.py --help 3. Verify API credentials are set 4. Check repository-specific documentation

Resources:

OpenClawCLI: https://clawhub.ai/

Kaggle API: https://github.com/Kaggle/kaggle-api

Hugging Face Datasets: https://huggingface.co/docs/datasets/

UCI ML Repository: https://archive.ics.uci.edu/ml/

Data.gov API: https://www.data.gov/developers/apis

💡 Examples

import pandas as pd
df = pd.read_csv('housing_prices.csv')