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  license: apache-2.0
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- This is a labeled dataset of timeseries datasets and question-answer pairs to evaluate timeseries data agents.
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- The E-commerce data models user browsing sessions in an e-commerce setting.
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- The IoT dataset models IoT device health metrics for temperature, pressure, and humidity sensors.
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- The Telecom Network dataset models telemetry for transport links, core nodes, and cell sites in a synthetic telco setting.
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- For each dataset we have also included a curated set of question-answer pairs consisting of both
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- "stateless", "stateful", and "incident relevant" queries to test data agents.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ Datasets and query sets for the three benchmark settings from the "Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel" paper.
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+ All datasets and query sets were generated using AgentFuel's data generation and question-answer generation modules.
 
 
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+ E-commerce
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+ Product analytics for an e-commerce website. Browsing sessions are generated using a state machine covering browsing flows, cart abandonment, and purchase flows.
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+ Datasets: ecommerce_users_data.csv, ecommerce_sessions_data.csv
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+ Queries: 12 stateless (ecommerce_basic.csv) + 12 stateful (ecommerce_stateful.csv)
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+ IoT
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+ IoT device monitoring with three sensor exemplars: temperature, pressure, and humidity, each with its own operations state machine and device health metrics.
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+ Dataset: iot_device_data.csv
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+ Queries: 12 stateless (iot_basic.csv) + 12 stateful (iot_stateful.csv)
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+ Telecom
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+ Telecommunications network telemetry across three related entities: cell sites, transport links, and core nodes. The _with_inc_ dataset variants include an injected cascading incident: a transport link degrades (elevated packet loss, latency, jitter), cascading to connected cell sites (higher RRC failures, lower availability), with a modest effect on core nodes (reduced attached UEs, increased CPU load).
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+ Datasets: cell_site_data.csv, transport_link_data.csv, core_node_data.csv (and _with_inc_ variants)
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+ Queries: 12 stateless (telecom_basic.csv) + 12 incident-specific (telecom_incident.csv)