The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'messages'}) and 3 missing columns ({'output', 'input', 'instruction'}).
This happened while the json dataset builder was generating data using
hf://datasets/MustaphaL/training_data_n8n_workflows/training_data_openai.jsonl (at revision 6f668fd762d1bda93152a549425b1ecfe506d160)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'instruction': Value('string'), 'input': Value('string'), 'output': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'messages'}) and 3 missing columns ({'output', 'input', 'instruction'}).
This happened while the json dataset builder was generating data using
hf://datasets/MustaphaL/training_data_n8n_workflows/training_data_openai.jsonl (at revision 6f668fd762d1bda93152a549425b1ecfe506d160)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
instruction string | input string | output string |
|---|---|---|
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"Langchain"
... | |
Create an n8n workflow for: Generate AI Videos from Telegram Messages with Nano Banana & Veo-3
Description: How to use the provided n8n workflow (step‑by‑step), what matters, what it’s good for, and costs per run. What this workflow does (in simple terms) 1) You write (or speak) your idea in Telegram. 2) The workflow ... | {
"nodes": [
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core Nodes"
]
},
{
"name": "n8n-nodes-base.telegram",
"type": "Telegram",
"category": [
"Communication",
"HITL"
]
}... | |
Create an n8n workflow for: Clone Viral TikToks with AI Avatars & Auto-Post to 9 Platforms using Perplexity & Blotato
Description: Clone a viral TikTok with AI and auto-post it to 9 platforms using Perplexity & Blotato Who is this for? This workflow is perfect for: Content creators looking to repurpose viral content S... | {
"nodes": [
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
"Productivity"
]
},
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core No... | |
Create an n8n workflow for: Customer Support WhatsApp Bot with Google Docs Knowledge Base and Gemini AI
Description: Document-Aware WhatsApp AI Bot for Customer Support Google Docs-Powered WhatsApp Support Agent 24/7 WhatsApp AI Assistant with Live Knowledge from Google Docs 📝Description Template Smart WhatsApp AI As... | {
"nodes": [
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
"Productivity"
]
},
{
"name": "n8n-nodes-base.googleDocs",
"type": "Google Docs",
"category": [
"Miscellaneous"
]
},
... | |
Create an n8n workflow for: Nano Banana AI Product Image Creator via WhatsApp
Description: Nano Banana AI Product Image Creator via WhatsApp Transform ordinary product photos into premium marketing visuals instantly using Gemini AI for prompt enhancement and Nano Banana AI for image generation through WhatsApp. Who's ... | {
"nodes": [
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core Nodes"
]
},
{
"name": "n8n-nodes-base.whatsApp",
"type": "WhatsApp Business Cloud",
"category": [
"Communication",
"HITL... | |
Create an n8n workflow for: Gmail AI Email Manager
Description: Want to check out all my flows, follow me on: Email Manager - Intelligent Gmail Classification This automation flow is designed to automatically monitor incoming Gmail messages, analyze their content and context using AI, and intelligently classify them... | {
"nodes": [
{
"name": "n8n-nodes-base.gmail",
"type": "Gmail",
"category": [
"Communication",
"HITL"
]
},
{
"name": "@n8n/n8n-nodes-langchain.agent",
"type": "AI Agent",
"category": [
"AI",
"Langchain"
]
},
{
"n... | |
Create an n8n workflow for: Generate Personalized Sales Emails with LinkedIn Data & Claude 3.7 via OpenRouter
Description: How it works The automation loads rows from a Google Sheet of leads that you want to contact. It makes a Google search via Apify for LinkedIn links based on the First name / Last name / Company. A... | {
"nodes": [
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
"Productivity"
]
},
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core No... | |
Create an n8n workflow for: Automated Competitor Pricing Monitor with Bright Data MCP & OpenAI
Description: This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors competitor pricing changes and website updates to keep you informed of ma... | {
"nodes": [
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
"Productivity"
]
},
{
"name": "@n8n/n8n-nodes-langchain.agent",
"type": "AI Agent",
"category": [
"AI",
"Langchain"
... | |
Create an n8n workflow for: Lead Generation Agent
Description: Who this is for This workflow is for digital marketing agencies or sales teams who want to automatically find business leads based on industry & location, gather their contact details, and send personalized cold emails — all from one form submission. What ... | {
"nodes": [
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
"Productivity"
]
},
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core No... | |
Create an n8n workflow for: Extract & Transform HackerNews Data to Google Docs using Gemini 2.0 Flash
Description: Description This workflow automates the process of scraping the latest discussions from HackerNews, transforming raw threads into human readable content using Google Gemini, and exporting the final conten... | {
"nodes": [
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core Nodes"
]
},
{
"name": "n8n-nodes-base.hackerNews",
"type": "Hacker News",
"category": [
"Communication",
"Marketing"
... | |
Create an n8n workflow for: Process Large Documents with OCR using SubworkflowAI and Gemini
Description: Working with Large Documents In Your VLM OCR Workflow Document workflows are popular ways to use AI but what happens when your document is too large for your app or your AI to handle? Whether its context window or ... | {
"nodes": [
{
"name": "n8n-nodes-base.httpRequest",
"type": "HTTP Request",
"category": [
"Development",
"Core Nodes"
]
},
{
"name": "n8n-nodes-base.googleDrive",
"type": "Google Drive",
"category": [
"Data & Storage"
]
},
{
... | |
Create an n8n workflow for: PPC Campaign Intelligence & Optimization with Google Ads, Sheets & Slack
Description: How it Works This workflow automatically monitors your Google Ads campaigns every day, analyzing performance with AI-powered scoring to identify scaling opportunities and catch issues before they drain you... | {
"nodes": [
{
"name": "n8n-nodes-base.emailSend",
"type": "Send Email",
"category": [
"Communication",
"Core Nodes",
"HITL"
]
},
{
"name": "n8n-nodes-base.googleSheets",
"type": "Google Sheets",
"category": [
"Data & Storage",
... |
End of preview.