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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 3 new columns ({'input', 'output', 'instruction'}) and 2 missing columns ({'term', 'definition'}).

This happened while the json dataset builder was generating data using

hf://datasets/Finish-him/msc-instructions/data/definitions_qa.jsonl (at revision af1b181f50342548c0707b0b8e545b37f9012e65)

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
              instruction: string
              input: string
              output: string
              source: string
              to
              {'term': Value('string'), 'definition': Value('string'), 'source': 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 3 new columns ({'input', 'output', 'instruction'}) and 2 missing columns ({'term', 'definition'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Finish-him/msc-instructions/data/definitions_qa.jsonl (at revision af1b181f50342548c0707b0b8e545b37f9012e65)
              
              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.

term
string
definition
string
source
string
Cliques em Links Externos
(`click_external_link`)
msc-academy_ANALYTICS_EVENT_TRACKING
Parâmetros enviados:
- `link_url`: URL completa do link clicado
msc-academy_ANALYTICS_EVENT_TRACKING
Exemplos de links rastreados:
- Links para redes sociais (GitHub, LinkedIn, Twitter)
msc-academy_ANALYTICS_EVENT_TRACKING
Extensões rastreadas (20+):
- **Documentos:** pdf, doc, docx, xls, xlsx, ppt, pptx, txt, csv, json, xml
msc-academy_ANALYTICS_EVENT_TRACKING
Compactados:
zip, rar, 7z, tar, gz
msc-academy_ANALYTICS_EVENT_TRACKING
Mídia:
mp3, mp4, avi, mov, wav
msc-academy_ANALYTICS_EVENT_TRACKING
Imagens:
jpg, jpeg, png, gif, svg
msc-academy_ANALYTICS_EVENT_TRACKING
Exemplos:
- EN → PT (usuário trocou de inglês para português)
msc-academy_ANALYTICS_EVENT_TRACKING
G-PYF7BR4NBD
### Passo 2: Ver Eventos em Tempo Real
msc-academy_ANALYTICS_EVENT_TRACKING
"Relatórios"
2. Clique em **"Tempo real"**
msc-academy_ANALYTICS_EVENT_TRACKING
"Eventos por nome do evento"
4. Você verá eventos sendo disparados em tempo real:
msc-academy_ANALYTICS_EVENT_TRACKING
Teste agora:
1. Abra o site em outra aba
msc-academy_ANALYTICS_EVENT_TRACKING
"Eventos"
3. Você verá lista de todos os eventos registrados:
msc-academy_ANALYTICS_EVENT_TRACKING
Parâmetros do evento:
`link_url`, `link_text`, `link_domain`
msc-academy_ANALYTICS_EVENT_TRACKING
Valores mais comuns:
Quais links foram mais clicados
msc-academy_ANALYTICS_EVENT_TRACKING
Tendência temporal:
Gráfico de cliques ao longo do tempo
msc-academy_ANALYTICS_EVENT_TRACKING
Exemplo de análise:
- Ver quais links externos são mais clicados
msc-academy_ANALYTICS_EVENT_TRACKING
Insights:
- Identificar parceiros/ferramentas mais relevantes
msc-academy_ANALYTICS_EVENT_TRACKING
Fórmula:
(Cliques em links externos / Total de pageviews) × 100
msc-academy_ANALYTICS_EVENT_TRACKING
Meta:
< 10% (usuários não estão saindo muito do site)
msc-academy_ANALYTICS_EVENT_TRACKING
Como melhorar:
- Criar conteúdo mais completo para reduzir necessidade de links externos
msc-academy_ANALYTICS_EVENT_TRACKING
Causa:
gtag não carregado ou bloqueadores de anúncios.
msc-academy_ANALYTICS_EVENT_TRACKING
Solução:
1. Abra DevTools → Console
msc-academy_ANALYTICS_EVENT_TRACKING
Arquivo:
`/client/public/og-images/blog-ai-marketing-2026.png`
msc-academy_BLOG_OG_IMAGES
Slug:
`ai-transforming-digital-marketing-2026`
msc-academy_BLOG_OG_IMAGES
Tema:
Dark gradient purple to navy blue
msc-academy_BLOG_OG_IMAGES
Elementos:
- Título principal em destaque
msc-academy_BLOG_OG_IMAGES
Formato:
`blog-{slug-simplificado}.png`
msc-academy_BLOG_OG_IMAGES
Salvar
em `/client/public/og-images/blog-{slug}.png`
msc-academy_BLOG_OG_IMAGES
Testar
compartilhamento nas redes sociais
msc-academy_BLOG_OG_IMAGES
+50-70% CTR em compartilhamentos
- Imagens personalizadas aumentam significativamente cliques
msc-academy_BLOG_OG_IMAGES
Branding consistente
- Logo MSC em todas as imagens
msc-academy_BLOG_OG_IMAGES
Contexto visual
- Cada artigo tem identidade visual única
msc-academy_BLOG_OG_IMAGES
Profissionalismo
- Imagens de alta qualidade transmitem autoridade
msc-academy_BLOG_OG_IMAGES
SEO indireto
- Mais cliques = mais tráfego = melhor ranking
msc-academy_BLOG_OG_IMAGES
Categorização visual
- Cores diferentes por categoria facilitam identificação
msc-academy_BLOG_OG_IMAGES
CTR de compartilhamentos
- Comparar com período anterior
msc-academy_BLOG_OG_IMAGES
Tráfego de redes sociais
- Google Analytics referral traffic
msc-academy_BLOG_OG_IMAGES
Engajamento
- Likes, shares, comments em posts com artigos
msc-academy_BLOG_OG_IMAGES
Tempo na página
- Usuários vindos de redes sociais
msc-academy_BLOG_OG_IMAGES
Taxa de rejeição
- Comparar tráfego social vs. outros canais
msc-academy_BLOG_OG_IMAGES
Repository:
`Msc-Consultoriarj-org/childrens-audiobooks` (if exists)
msc-academy_GITHUB_READMES
Live Demo:
https://kids.manus.space
msc-academy_GITHUB_READMES
Live Platform:
[kids.manus.space](https://kids.manus.space)
msc-academy_GITHUB_READMES
Portfolio:
[MSC Software Projects](https://msc.manus.space/projects)
msc-academy_GITHUB_READMES
Case Study:
[Read the full launch story](https://msc.manus.space/blog/launching-childrens-audiobooks-platform)
msc-academy_GITHUB_READMES
Classic Stories Collection
- Jack and the Beanstalk, Little Red Riding Hood, The Three Little Pigs
msc-academy_GITHUB_READMES
Professional English Narration
- Native voice actors with clear pronunciation
msc-academy_GITHUB_READMES
Magical Illustrations
- Custom AI-generated artwork for each scene
msc-academy_GITHUB_READMES
Simple Pricing
- $4.90 per audiobook, one-time purchase
msc-academy_GITHUB_READMES
Mobile-First Design
- Responsive experience across all devices
msc-academy_GITHUB_READMES
Audio Streaming
- Optimized delivery with CDN integration
msc-academy_GITHUB_READMES
Frontend:
React 19, Tailwind CSS 4
msc-academy_GITHUB_READMES
AI Services:
ElevenLabs (narration), Custom image generation
msc-academy_GITHUB_READMES
Primary:
US parents with children ages 4-8
msc-academy_GITHUB_READMES
Use Cases:
Bedtime stories, car rides, quiet time, screen-free entertainment
msc-academy_GITHUB_READMES
Market Size:
$1.2B US children's audiobook market (2025)
msc-academy_GITHUB_READMES
Services:
- Full Stack Development
msc-academy_GITHUB_READMES
Contact:
[View our portfolio](https://msc.manus.space/projects) | [GitHub](https://github.com/Msc-Consultoriarj-org)
msc-academy_GITHUB_READMES
Keywords:
children audiobooks, kids stories, bedtime stories, professional narration, AI narration, educational content, US market, entertainment platform
msc-academy_GITHUB_READMES
Appointment Scheduling
- Real-time booking system with calendar integration
msc-academy_GITHUB_READMES
Customer Management
- CRM with customer history and preferences
msc-academy_GITHUB_READMES
Payment Processing
- Integrated payment gateway for online transactions
msc-academy_GITHUB_READMES
Analytics Dashboard
- Business insights and performance metrics
msc-academy_GITHUB_READMES
Mobile App
- Native mobile experience for customers and staff
msc-academy_GITHUB_READMES
Notifications
- Automated reminders via SMS and email
msc-academy_GITHUB_READMES
Backend:
Node.js, Express, tRPC
msc-academy_GITHUB_READMES
Event Booking
- Online reservation system with calendar availability
msc-academy_GITHUB_READMES
Theme Catalog
- Browse and select party themes and decorations
msc-academy_GITHUB_READMES
Vendor Management
- Coordinate with caterers, entertainers, and suppliers
msc-academy_GITHUB_READMES
Photo Gallery
- Showcase previous events and portfolio
msc-academy_GITHUB_READMES
Payment Integration
- Secure online payments and deposits
msc-academy_GITHUB_READMES
Email Automation
- Automated confirmations and reminders
msc-academy_GITHUB_READMES
LLM Integration
- OpenAI, Anthropic, and custom model support
msc-academy_GITHUB_READMES
Conversational AI
- Natural language understanding and generation
msc-academy_GITHUB_READMES
Data Analysis
- Automated insights from structured and unstructured data
msc-academy_GITHUB_READMES
API Integration
- Connect with external services and databases
msc-academy_GITHUB_READMES
Task Automation
- Workflow automation and process optimization
msc-academy_GITHUB_READMES
AI/ML:
OpenAI API, LangChain
msc-academy_GITHUB_READMES
Database:
PostgreSQL, Vector DB
msc-academy_GITHUB_READMES
Documentation:
[Workflow Setup Guide](./WORKFLOWS_SETUP.md)
msc-academy_GITHUB_READMES
YouTube to Podcast
- Automated video-to-audio conversion with transcription
msc-academy_GITHUB_READMES
PDF to Podcast
- Document-to-audio conversion with AI narration
msc-academy_GITHUB_READMES
Data Processing
- ETL pipelines and data transformation
msc-academy_GITHUB_READMES
Notification System
- Multi-channel alert distribution
msc-academy_GITHUB_READMES
Platform:
n8n (self-hosted or cloud)
msc-academy_GITHUB_READMES
APIs:
ElevenLabs, OpenAI, YouTube, Google Drive
msc-academy_GITHUB_READMES
Storage:
S3-compatible object storage
msc-academy_GITHUB_READMES
Asset Registry
- Complete inventory management for vehicles and equipment
msc-academy_GITHUB_READMES
Search & Filter
- Advanced search with multiple criteria
msc-academy_GITHUB_READMES
Reporting
- Automated reports and compliance documentation
msc-academy_GITHUB_READMES
Access Control
- Role-based permissions and audit trails
msc-academy_GITHUB_READMES
Mobile Access
- Field access for asset verification
msc-academy_GITHUB_READMES
Analytics
- Asset utilization and depreciation tracking
msc-academy_GITHUB_READMES
Authentication:
Government SSO integration
msc-academy_GITHUB_READMES
Infrastructure:
Secure government cloud
msc-academy_GITHUB_READMES
Live Website:
[mscholdingbr.group](https://mscholdingbr.group)
msc-academy_GITHUB_READMES
Industries:
Technology, Government, Entertainment, Business Services
msc-academy_GITHUB_READMES
SEO:
International optimization
msc-academy_GITHUB_READMES
GitHub:
[Msc-Consultoriarj-org](https://github.com/Msc-Consultoriarj-org)
msc-academy_GITHUB_READMES
End of preview.

msc-instructions

Instruções e procedimentos para treinamento de agentes MSC Marketing

Sobre

Este dataset faz parte da infraestrutura de IA da MSC Marketing, uma empresa especializada em Marketing Digital e SEO.

Uso

from datasets import load_dataset

dataset = load_dataset("Finish-him/msc-instructions")

Estrutura

Os arquivos incluídos neste dataset são:

  • instructions.jsonl
  • instructions.json
  • definitions.jsonl
  • definitions_qa.jsonl

Licença

MIT License - MSC Marketing

Contato

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