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Data from: Brazil Exports
- tradingeconomics.com
- zh.tradingeconomics.com
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csv, excel, json, xmlUpdated Dec 15, 2024
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EmailClick to copy linkLink copiedCiteTRADING ECONOMICS (2024). Brazil Exports [Dataset]. https://tradingeconomics.com/brazil/exportsjson, csv, excel, xmlAvailable download formatsDataset updatedDec 15, 2024Dataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredJan 31, 1954 - Jun 30, 2025Area coveredBrazilDescriptionExports in Brazil decreased to 29146.70 USD Million in June from 30156.20 USD Million in May of 2025. This dataset provides the latest reported value for - Brazil Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Activities (products and industries) in the bottom-5 and top-5 of complexity...
- plos.figshare.com
xlsUpdated Dec 5, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBen-Hur Francisco Cardoso; Eva Yamila da Silva Catela; Guilherme Viegas; Flávio L. Pinheiro; Dominik Hartmann (2024). Activities (products and industries) in the bottom-5 and top-5 of complexity estimated from exports (top) and industry (bottom), and the region with the highest RCA on such activity. [Dataset]. http://doi.org/10.1371/journal.pone.0313945.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0313945.t001Dataset updatedDec 5, 2024Dataset provided byPLOS ONEAuthorsBen-Hur Francisco Cardoso; Eva Yamila da Silva Catela; Guilherme Viegas; Flávio L. Pinheiro; Dominik HartmannLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionActivities (products and industries) in the bottom-5 and top-5 of complexity estimated from exports (top) and industry (bottom), and the region with the highest RCA on such activity.
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Dataset of key metrics of countries per year in Brazil (Historical)
- workwithdata.com
Updated Apr 9, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteWork With Data (2025). Dataset of key metrics of countries per year in Brazil (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=agricultural_land%2Calternative_nuclear_energy_pct%2Carmed_forces%2Cbirth_rate%2Celectricity_production_oil_pct&f=1&fcol0=country&fop0=%3D&fval0=BrazilDataset updatedApr 9, 2025Dataset authored and provided byWork With DataLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredBrazilDescriptionThis dataset is about countries per year in Brazil. It has 64 rows. It features 5 columns: alternative and nuclear energy, electricity production from oil sources, armed forces personnel, and birth rate.
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Portuguese (Brazil) Call Center Data for Travel AI
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Portuguese (Brazil) Call Center Data for Travel AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/travel-call-center-conversation-portuguese-brazilwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredBrazilDataset funded byFutureBeeAIDescriptionIntroduction
This Brazilian Portuguese Call Center Speech Dataset for the Travel industry is purpose-built to power the next generation of voice AI applications for travel booking, customer support, and itinerary assistance. With over 30 hours of unscripted, real-world conversations, the dataset enables the development of highly accurate speech recognition and natural language understanding models tailored for Portuguese -speaking travelers.
Created by FutureBeeAI, this dataset supports researchers, data scientists, and conversational AI teams in building voice technologies for airlines, travel portals, and hospitality platforms.
Speech Data
The dataset includes 30 hours of dual-channel audio recordings between native Brazilian Portuguese speakers engaged in real travel-related customer service conversations. These audio files reflect a wide variety of topics, accents, and scenarios found across the travel and tourism industry.
•Participant Diversity:•Speakers: 60 native Brazilian Portuguese contributors from our verified pool.•Regions: Covering multiple Brazil provinces to capture accent and dialectal variation.•Participant Profile: Balanced representation of age (18–70) and gender (60% male, 40% female).•Recording Details:•Conversation Nature: Naturally flowing, spontaneous customer-agent calls.•Call Duration: Between 5 and 15 minutes per session.•Audio Format: Stereo WAV, 16-bit depth, at 8kHz and 16kHz.•Recording Environment: Captured in controlled, noise-free, echo-free settings.Topic Diversity
Inbound and outbound conversations span a wide range of real-world travel support situations with varied outcomes (positive, neutral, negative).
•Inbound Calls:•Booking Assistance•Destination Information•Flight Delays or Cancellations•Support for Disabled Passengers•Health and Safety Travel Inquiries•Lost or Delayed Luggage, and more•Outbound Calls:•Promotional Travel Offers•Customer Feedback Surveys•Booking Confirmations•Flight Rescheduling Alerts•Visa Expiry Notifications, and othersThese scenarios help models understand and respond to diverse traveler needs in real-time.
Transcription
Each call is accompanied by manually curated, high-accuracy transcriptions in JSON format.
•Transcription Includes:•Speaker-Segmented Dialogues•Time-Stamped Segments•Non-speech Markers (e.g., pauses, coughs)•High transcription accuracy by dual-layered transcription review ensures word error rate under 5%.Metadata
Extensive metadata enriches each call and speaker for better filtering and AI training:
•Participant Metadata: ID, age, gender, region, accent, and dialect.•Conversation Metadata: Topic, domain, call type, sentiment, and audio specs.Usage and Applications
This dataset is ideal for a variety of AI use cases in the travel and tourism space:
•ASR Systems: Train Portuguese speech-to-text engines for travel platforms.<div style="margin-top:10px; - F
Portuguese (Brazil) Call Center Data for Retail & E-Commerce AI
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Portuguese (Brazil) Call Center Data for Retail & E-Commerce AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/retail-call-center-conversation-portuguese-brazilwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredBrazilDataset funded byFutureBeeAIDescriptionIntroduction
This Brazilian Portuguese Call Center Speech Dataset for the Retail and E-commerce industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Portuguese speakers. Featuring over 30 hours of real-world, unscripted audio, it provides authentic human-to-human customer service conversations vital for training robust ASR models.
Curated by FutureBeeAI, this dataset empowers voice AI developers, data scientists, and language model researchers to build high-accuracy, production-ready models across retail-focused use cases.
Speech Data
The dataset contains 30 hours of dual-channel call center recordings between native Brazilian Portuguese speakers. Captured in realistic scenarios, these conversations span diverse retail topics from product inquiries to order cancellations, providing a wide context range for model training and testing.
•Participant Diversity:•Speakers: 60 native Brazilian Portuguese speakers from our verified contributor pool.•Regions: Representing multiple provinces across Brazil to ensure coverage of various accents and dialects.•Participant Profile: Balanced gender mix (60% male, 40% female) with age distribution from 18 to 70 years.•Recording Details:•Conversation Nature: Naturally flowing, unscripted interactions between agents and customers.•Call Duration: Ranges from 5 to 15 minutes.•Audio Format: Stereo WAV files, 16-bit depth, at 8kHz and 16kHz sample rates.•Recording Environment: Captured in clean conditions with no echo or background noise.Topic Diversity
This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world scenario coverage.
•Inbound Calls:•Product Inquiries•Order Cancellations•Refund & Exchange Requests•Subscription Queries, and more•Outbound Calls:•Order Confirmations•Upselling & Promotions•Account Updates•Loyalty Program Offers•Customer Verifications, and othersSuch variety enhances your model’s ability to generalize across retail-specific voice interactions.
Transcription
All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.
•Transcription Includes:•Speaker-Segmented Dialogues•30 hours-coded Segments•Non-speech Tags (e.g., pauses, cough)•High transcription accuracy with word error rate < 5% due to double-layered quality checks.These transcriptions are production-ready, making model training faster and more accurate.
Metadata
Rich metadata is available for each participant and conversation:
•Participant Metadata: ID, age, gender, accent, dialect, and location.•Conversation Metadata: Topic, sentiment, call type, sample rate, and technical specs.This granularity supports advanced analytics, dialect filtering, and fine-tuned model evaluation.
Usage and Applications
This dataset is ideal for a range of voice AI and NLP applications:
•Automatic Speech Recognition (ASR): Fine-tune Portuguese speech-to-text systems. - T
Brazil Crude Oil Production
- tradingeconomics.com
- pt.tradingeconomics.com
- +13more
csv, excel, json, xmlShareFacebookTwitterEmailClick to copy linkLink copiedCiteTRADING ECONOMICS, Brazil Crude Oil Production [Dataset]. https://tradingeconomics.com/brazil/crude-oil-productionjson, xml, excel, csvAvailable download formatsDataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredJan 31, 1984 - Mar 31, 2025Area coveredBrazilDescriptionCrude Oil Production in Brazil increased to 3620.81 BBL/D/1K in March from 3488.10 BBL/D/1K in February of 2025. This dataset provides the latest reported value for - Brazil Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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FacebookTwitterEmailData from: Brazil Exports
Brazil Exports - Historical Dataset (1954-01-31/2025-06-30)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Exports in Brazil decreased to 29146.70 USD Million in June from 30156.20 USD Million in May of 2025. This dataset provides the latest reported value for - Brazil Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.