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Data Analysis

Train/Test Split with Stratification

Class-stratified train/validation/test split or stratified k-fold for CSV/JSON datasets — seeded, reproducible, with distribution reports, leakage checks, SMOTE preview and CSV export.

html· HTML resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/train-test-split-with-stratification' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"dataFile.ext","contentType":"application/octet-stream","size":12345}'

# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
  --data-binary @/path/to/file.ext

# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/train-test-split-with-stratification' \
  -F 'dataFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'datasetText=text,length,label
The movie was wonderful and I loved every minute,42,positive
Absolutely terrible waste of time,31,negative
Pretty good overall would recommend,31,positive
Bad acting and a worse plot,25,negative
I enjoyed it a lot,16,positive
Not great not terrible just fine,30,neutral
Loved the soundtrack and visuals,28,positive
The pacing was boring and slow,28,negative
It was okay nothing special,24,neutral
Fantastic acting by the whole cast,30,positive
Weak ending ruined it for me,24,negative
Fine for a rainy afternoon,24,neutral
Brilliant and moving film,23,positive
Disappointing sequel,19,negative
Mediocre but watchable,21,neutral
Gorgeous cinematography throughout,29,positive
Painfully dull script,19,negative
A masterpiece of the genre,24,positive
Cliched and forgettable,20,negative
Charming and genuinely funny,25,positive
Skip it you will thank me,21,negative
Delightful from start to finish,27,positive
Two hours I will never get back,29,negative
Watchable if nothing else is on,26,neutral' \
  -F 'targetColumn=label' \
  -F 'splitMode=standard' \
  -F 'trainPercent=70' \
  -F 'valPercent=15' \
  -F 'kFolds=5' \
  -F 'randomSeed=42' \
  -F 'stratify=true' \
  -F 'shuffle=true' \
  -F 'smotePreview=false' \
  -F 'exportZip=true'

© 2026 Elysia Tools. Developer documentation.

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API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/train-test-split-with-stratification

Parameters

NameTypeRequiredDescription
dataFilefileupload requiredNo—
datasetTexttextareaNo—
targetColumntextYes—
splitModeselectNo—
trainPercentnumberNo—
valPercentnumberNo—
kFoldsnumberNo—
randomSeednumberNo—
stratifycheckboxNo—
shufflecheckboxNo—
smotePreviewcheckboxNo—
exportZipcheckboxNo—
File-type parameters must be uploaded first via POST /upload/train-test-split-with-stratification, then the returned filePath is passed to the corresponding file field.

Response format

HTML result

JSON
{
  "result": "<div>Processed HTML content</div>",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-train-test-split-with-stratification": {
      "name": "train-test-split-with-stratification",
      "description": "Class-stratified train/validation/test split or stratified k-fold for CSV/JSON datasets — seeded, reproducible, with distribution reports, leakage checks, SMOTE preview and CSV export.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=train-test-split-with-stratification",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "train-test-split-with-stratification",
    "arguments": {
  "dataFile": "https://example.com/file.ext",
  "datasetText": "text,length,label\nThe movie was wonderful and I loved every minute,42,positive\nAbsolutely terrible waste of time,31,negative\nPretty good overall would recommend,31,positive\nBad acting and a worse plot,25,negative\nI enjoyed it a lot,16,positive\nNot great not terrible just fine,30,neutral\nLoved the soundtrack and visuals,28,positive\nThe pacing was boring and slow,28,negative\nIt was okay nothing special,24,neutral\nFantastic acting by the whole cast,30,positive\nWeak ending ruined it for me,24,negative\nFine for a rainy afternoon,24,neutral\nBrilliant and moving film,23,positive\nDisappointing sequel,19,negative\nMediocre but watchable,21,neutral\nGorgeous cinematography throughout,29,positive\nPainfully dull script,19,negative\nA masterpiece of the genre,24,positive\nCliched and forgettable,20,negative\nCharming and genuinely funny,25,positive\nSkip it you will thank me,21,negative\nDelightful from start to finish,27,positive\nTwo hours I will never get back,29,negative\nWatchable if nothing else is on,26,neutral",
  "targetColumn": "label",
  "splitMode": "standard",
  "trainPercent": 70,
  "valPercent": 15,
  "kFolds": 5,
  "randomSeed": 42,
  "stratify": true,
  "shuffle": true,
  "smotePreview": false,
  "exportZip": true
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).
File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]

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