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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
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01apptek-com /apptek_callcenter_dialogues AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR AppTek Call-Center Dialogues is a long-form conversational speech dataset for automatic speech recognition (ASR), featuring diverse English accents across multiple service-oriented domains and designed to evaluate models on realistic call-center interactions. 128.6 hours of speech 14 English accent groups 16 service domains 5–15 minute conversations (long-form) Split-channel audio (one… See the full description on the dataset page: https://huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues.audioautomatic-speech-recognition1K<n<10K37 likes2.5k downloads1mo agoHugging Face02NoNameFactory /callcentertext10K<n<100K0 likes206 downloads2y agoHugging Face03josemancharo /apptek_callcenter_dialogues_travel_hospitality_no_transcripts AppTek Call-Center Dialogues — Travel and Hospitality (No Transcripts) This is a filtered derivative of AppTek Call-Center Dialogues, prepared for a specific use case. Changes from the source dataset Restricted the dataset to the travel and hospitality domains. Removed the transcript field (text) entirely. Kept the original audio and the domain, gender, and accent metadata. Preserved the source dataset's test split. This dataset has transcripts removed and is… See the full description on the dataset page: https://huggingface.co/datasets/josemancharo/apptek_callcenter_dialogues_travel_hospitality_no_transcripts.audioaudio-classificationn<1K1 likes164 downloads1mo agoHugging Face04mindweave /call-center-records Call Center Records & Agent Performance Dataset (Free Sample) This is a free sample with 2,013 rows. The full dataset has 19,959 rows across 3 tables. Call detail records for a simulated insurance company call center with 25 agents handling 35,000 calls over 12 months. Includes IVR menu paths, agent assignments, call outcomes, hold times, transfer chains, and customer satisfaction scores. Features realistic patterns: Monday morning surge, lunch dip, seasonal peaks during open… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/call-center-records.tabulartabular-classification1K<n<10K0 likes103 downloads6mo agoHugging Face05urvog /llama2_transcripts_healthcare_callcentertext1K<n<10K5 likes65 downloads3y agoHugging Face06hussxamg04 /apptek_callcenter_dialogues AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR AppTek Call-Center Dialogues is a long-form conversational speech dataset for automatic speech recognition (ASR), featuring diverse English accents across multiple service-oriented domains and designed to evaluate models on realistic call-center interactions. 128.6 hours of speech 14 English accent groups 16 service domains 5–15 minute conversations (long-form) Split-channel audio (one speaker… See the full description on the dataset page: https://huggingface.co/datasets/hussxamg04/apptek_callcenter_dialogues.audioautomatic-speech-recognition1K<n<10K0 likes59 downloads5mo agoHugging Face07yevgeniy03 /home-telecom-callcenter-transcripts-viewer Home/Telecom Call Center Transcript Viewer V2 This public dataset is a flattened viewer copy of one source archive from AIxBlock/92k-real-world-call-center-scripts-english: home_ervice_inbound&telecom _outbound.zip It was converted so Hugging Face Data Studio can display the contents as regular Parquet tables. Splits default/train: one row per transcript, all 3,239 transcripts from the source zip. turns/turns: one row per inferred timestamp/sentence turn, linked by… See the full description on the dataset page: https://huggingface.co/datasets/yevgeniy03/home-telecom-callcenter-transcripts-viewer.tabular100K<n<1M0 likes52 downloads5mo agoHugging Face08minemaster01 /call_center_data_csvtabular10K<n<100K0 likes51 downloads1y agoHugging Face09yifanmai /call-center Call Center This is a collection for evaluation of LLMs on call center scenarios. textn<1K4 likes33 downloads2y agoHugging Face10aytacguc /callcentertext1K<n<10K1 likes24 downloads2y agoHugging Face11KameronB /synthetic-it-callcenter-ticketstabular10K<n<100K0 likes21 downloads1y agoHugging Face12Abhishek412 /Call_Centertextn<1K1 likes19 downloads3y agoHugging Face13marccgrau /synthetic_call_center_summaries Synthetic Call Center Summaries Dataset Overview This dataset contains synthetic summaries of call center conversations generated by different prompt configurations. Each record (in JSON Lines format) includes: The original dialogue metadata. A generated summary tailored to provide quick insights for call center service agents. Extensive evaluation metrics and attributes such as conciseness, formatting, contextual relevance, tone, and actionability. Intended… See the full description on the dataset page: https://huggingface.co/datasets/marccgrau/synthetic_call_center_summaries.textsummarizationn<1K0 likes19 downloads2y agoHugging Face14electricsheepafrica /africa-synth-retail-and-ecommerce-call-center-transcripts-nigeria Call Center Transcripts | Africa (Electric Sheep Africa metadata inventory) Size category: 100K<n<1M - Formats: parquet - Sector: culture_language - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-retail-and-ecommerce-call-center-transcripts-nigeria.tabulartabular-classification100K<n<1M0 likes16 downloads1mo agoHugging Face15nateshmbhat /isha-call-center-qa-datatextquestion-answeringn<1K0 likes14 downloads3y agoHugging Face16qianyu88 /call-center-speechtextn<1K0 likes14 downloads3y agoHugging Face17MarvHins /abwanderung-im-call-center Abwanderung im Call Center | High-quality synthetic dataset for machine learning and data analysis. 📊 Dataset Overview Rows: 500,000 (sample: 1,000) Columns: 11 Quality Score: 99% Format: CSV Type: 100% Synthetic 🎯 Features Anzahl_der_Abwaender Durchschnittliche_AbwaenderproZeit Häufigkeit_der_Abwaender Grund_für_Abwaender Zeitpunkt_der_Abwaender Kundenkategorie Abwaendergruppe Produktart Kundenbedienungslevel Abwanderungsgrad ... and 1 more… See the full description on the dataset page: https://huggingface.co/datasets/MarvHins/abwanderung-im-call-center.tabulartabular-classification1K<n<10K0 likes13 downloads11mo agoHugging Face18markmuller /sonix-callcentergatedaudio10K<n<100K0 likes12 downloads17d agoHugging Face19banhchungtuongot /vi-callcenter-silver-evaltabularn<1K0 likes11 downloads3mo agoHugging Face20gadkins /call-center-dialog Call Center Dialog This dataseet consists of synthetic call center dialog between customers and a customer support representatives. All dialog is in English and is computer-generated. audion<1K0 likes10 downloads2y agoHugging Face21jungsanghyun /callcenterspeechgatedaudio10K<n<100K1 likes8 downloads1y agoHugging Face22isha-techies /call-center-queriestextquestion-answeringn<1K0 likes6 downloads3y agoHugging Face23lvogelFH /synthetic-it-callcenter-ticketsBased on KameronB/synthetic-it-callcenter-tickets, and modified as follows: Only considers tickets with customer role Consolidated the assignment groups Added a priority column Removed rows from assignment group "BUILDING 01 SUPPORT" Sampled ~100 rows from each (consolidated) assignment group tabular1K<n<10K0 likes6 downloads4mo agoHugging Face24hisham1404 /kcc_call_center_query_embeddedtext100K<n<1M0 likes5 downloads1y agoHugging Face25Scicom-intl /Malaysian-Call-Center-Language-Switchingtabular1K<n<10K0 likes5 downloads4mo agoHugging Face26isha-techies /call-center-qa-squad-2textquestion-answeringn<1K0 likes4 downloads3y agoHugging Face27gkooansis /LDP_callcenter_smalltextn<1K0 likes3 downloads2y agoHugging Face

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