Access & allowed use

This dataset is provided for:

• hackathon research and prototyping
• visualizations and models
• presentations and demo publications

Not allowed:

• commercial reuse
• re-publishing raw data outside this repository
• attempts to identify individual visitors
• combining the data with other datasets for deanonymization

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Citation requirement

Estonian National Museum. Encounters exhibition interactive ticket log dataset, 2026.

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Data structure

Main files:

• data/raw/*.log – interaction logs (plain text)
• data/metadata/device_id.xlsx – mapping of devices and interaction points to exhibition locations and topics

Format:

• logs: plain text
• mapping: structured table (XLSX / CSV)

Encoding: UTF-8

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Row represents

One interaction event recorded by the system.

Not:

• one complete visit
• one individual visitor
• one exhibition object
• a direct statement of visitor intent

A visit must be reconstructed from a sequence of events.

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Example row

[01/Mar/2020:11:13:11 +0200] 00:18:2d:00:17:bf/0: 04000000045e5b7c10 e0040150ca2bd886

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Key fields

Field	Meaning	Notes
timestamp	time of event	includes timezone
device_id	sensor / reader identifier	maps to exhibition location
channel_flag	technical state indicator	system-level value
ticket_id	anonymized ticket identifier	used to reconstruct visits
interaction_id	interaction target	may correspond to exhibit

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Interpreting visits and movement

The dataset does not explicitly define visits or movement.
These must be inferred from ticket_id and timestamps.

This enables:

• reconstruction of visit sessions
• ordering of events in time
• estimation of visit duration
• analysis of movement paths

Important:

• sessions are inferred, not explicit
• movement is indirect (event-based)
• absence of events ≠ absence of activity

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Interaction and content use

Some events reflect interaction with system content (e.g. language selection or media access).

This allows analysis of:

• language-switching behavior
• interaction intensity
• content engagement patterns

These logs reflect system interaction, not the full visitor experience.

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Temporal analysis

Each event is time-stamped, enabling:

• visit duration analysis
• time-of-day patterns
• weekday vs weekend comparison
• seasonal variation

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Mapping file (device_id.xlsx)

The logs contain only technical identifiers.
To interpret them, a separate mapping file is required.

This file links device_id values to:

• interaction points (e.g. T01.01.01-E1)
• installations (T01.01.01-V1)
• exhibition topics

Identifier structure

• E → individual interaction element
• V → grouped installation

Multiple E elements may belong to one V.

This supports analysis at:

• interaction level
• installation level

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Example interpretation

device_id = 00:18:2d:00:17:bf

→ T01.01.01-E1
→ T01.01.01-V1
→ topic: #Estonianmafia ja e-Eesti