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### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: If a restaurant owner wants to create an account and the desired user name is occupied, the restaurant owner should be asked to choose a different user name
### Assistant:
NOT_RELEVANT: SCALE
CAUSE_1: a restaurant owner wants to create an account
AND: and
CAUSE_2: the desired user name is occupied
EFFECT_1: the restaurant owner should be asked to choose a different user name
KEYWORD: If
VARIABLE: the restaurant owner
CONDITION: should be asked to choose a different user name
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Test environments should be built for the application to allow testing of the applications different functions
### Assistant:
CAUSE_1: Test environments should be built for the application
EFFECT_1: to allow testing of the applications different functions
CONDITION: should be built for the application
NOT_RELEVANT: DESC
VARIABLE: testing of the applications different functions
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In order to get a view of how to divide the requirements into different releases and what requirements should be included in which release, a prioritization of the requirements is needed
### Assistant:
CAUSE_1: a prioritization of the requirements is needed
EFFECT_2: what requirements should be included in which release
KEYWORD: In order
AND: and
VARIABLE: a prioritization of the requirements
CONDITION: to get
EFFECT_1: to get a view of how to divide the requirements into different releases
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Based on the elicitation meetings, and the perceived ideas of what was important to the different stakeholders, a number was set for each requirement
### Assistant:
CAUSE_1: the elicitation meetings
AND: and
CAUSE_2: the perceived ideas of what was important to the different stakeholders
EFFECT_1: a number was set for each requirement
KEYWORD: Based on
VARIABLE: a number
CONDITION: was set for each requirement
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
However, it is more easily misused since someone could save all their money and put them on a requirement that they think is very important [3]
### Assistant:
NOT_RELEVANT: [3]
EFFECT_1: it is more easily misused
KEYWORD: since
CAUSE_1: someone could save all their money
CAUSE_2: put them on a requirement that they think is very important
AND: and
VARIABLE: someone
CONDITION: put them on a requirement that they think is very important
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For instance, if two requirements are not very important it would be hard to determine which of those requirements that is more important than the other [3]
### Assistant:
CAUSE_1: two requirements are not very important
EFFECT_1: it would be hard to determine which of those requirements that is more important than the other
NOT_RELEVANT: For instance,
KEYWORD: if
VARIABLE: it
NEGATION: are not
CONDITION: would be hard to determine which of those requirements that is more important than the other
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In conclusion, weighing the disadvantages and advantages of these methods against each other lead us to choose the five-way priority scheme
### Assistant:
CAUSE_1: weighing the disadvantages and advantages of these methods against each other
EFFECT_1: choose the five-way priority scheme
NOT_RELEVANT: In conclusion
VARIABLE: the five-way priority scheme
CONDITION: choose
KEYWORD: lead us to
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The third release includes the requirements that can be afforded to discard if the project gets delayed or overruns the budget
### Assistant:
CAUSE_1: the project gets delayed
OR: or
CAUSE_2: overruns the budget
EFFECT_1: can be afforded to discard
KEYWORD: that
NOT_RELEVANT: The third release includes
VARIABLE: the project
CONDITION: overruns the budget
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The requirements for the domains of air quality (AQ), climate forcing (CF), actually need very similar data, e.g. chemical composition, emissions, deposition fluxes, but for different purposes
### Assistant:
CAUSE_1: the domains of air quality
CAUSE_2: climate forcing
EFFECT_1: The requirements
NOT_RELEVANT: (CF)
VARIABLE: the domains of air quality
CONDITION: actually need very similar data
KEYWORD: for
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
MACC air quality forecasts and analyses will serve as boundary conditions for further nesting activities of local and urban scale models
### Assistant:
KEYWORD: for
CAUSE_1: MACC air quality forecasts
CAUSE_2: urban scale models
EFFECT_1: MACC air quality forecasts
EFFECT_2: analyses will serve as boundary conditions
AND: and
VARIABLE: analyses
CONDITION: will serve as boundary conditions
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The following MACC data products are required by PASODOBLE during the development and delivery of the PASODOBLE services
### Assistant:
CAUSE_1: the development
CAUSE_2: delivery of the PASODOBLE services
AND: and
KEYWORD: during
EFFECT_1: The following MACC data products are required by PASODOBLE
VARIABLE: the PASODOBLE services
CONDITION: delivery of
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
It is important to represent the statistical distribution of irradiance values well, so that the assessment of solar energy applications is based on good coverage of background and extreme values
### Assistant:
CAUSE_1: It is important to represent the statistical distribution of irradiance values well
EFFECT_1: the assessment of solar energy applications is based on good coverage of background
EFFECT_2: extreme values
AND: and
KEYWORD: so that
VARIABLE: the assessment of solar energy applications
CONDITION: extreme values
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For services of this kind to be helpful, they must be consistent with existent European policy structure (e.g. EU Clean Air For Europe (CAFE), Convention on Long-range Transboundary Air Pollution)
### Assistant:
EFFECT_1: services of this kind to be helpful
CAUSE_1: they must be consistent with existent European policy structure
NOT_RELEVANT: (e.g. EU Clean Air For Europe (CAFE), Convention on Long-range Transboundary Air Pollution)
VARIABLE: they
CONDITION: must be consistent with existent European policy structure
KEYWORD: For
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The ambition has been to assimilate such surface observations into operational modeling systems in order to improve analysis and forecast of AQ, and to use NRT data for NRT evaluation of model performances
### Assistant:
CAUSE_1: The ambition has been to assimilate such surface observations into operational modeling systems
EFFECT_1: to improve analysis
AND: and
EFFECT_2: forecast of AQ
EFFECT_3: to use NRT data for NRT evaluation of model performances
KEYWORD: in order
VARIABLE: forecast of AQ
CONDITION: to use
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For each meeting a dedicated report is available together with the respective presentations
### Assistant:
CAUSE_1: each meeting
EFFECT_1: a dedicated report is available
AND: together with
EFFECT_2: the respective presentations
KEYWORD: For
VARIABLE: the respective presentations
CONDITION: is available
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Requirements expressed during this workshop were also analysed in the User Requirements Document update
### Assistant:
CAUSE_1: Requirements expressed during this workshop
EFFECT_1: were also analysed in the User Requirements Document update
VARIABLE: Requirements
CONDITION: were also analysed in the User Requirements Document update
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
During the workshop, use cases were presented, and news about policy-relevant products of MACC-III were provided
### Assistant:
KEYWORD: During
CAUSE_1: the workshop
EFFECT_1: use cases were presented
EFFECT_2: news about policy-relevant products of MACC-III were provided
AND: and
VARIABLE: news about policy-relevant products of MACC-III
CONDITION: were provided
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The project ENDORSE aims at a user-driven development of downstream services in renewable energies by exploiting the GMES Core Services together with other EO/in-situ data and modelling
### Assistant:
CAUSE_1: exploiting the GMES Core Services
KEYWORD: by
EFFECT_1: The project ENDORSE aims at a user-driven development of downstream services in renewable energies
VARIABLE: modelling
CONDITION: exploiting
AND: and
CAUSE_2: other EO/in-situ data
CAUSE_3: modelling
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
ICARE processes and provides online archive of satellite data to study the atmosphere (aerosols, clouds, radiation and water cycle)
### Assistant:
CAUSE_1: ICARE processes
CAUSE_2: provides online archive of satellite data
EFFECT_1: to study the atmosphere
AND: and
NOT_RELEVANT: (aerosols, clouds, radiation and water cycle)
VARIABLE: ICARE
CONDITION: provides online archive of satellite data
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It has also been distributed within the local urban user group
### Assistant:
CAUSE_1: the local urban user group
EFFECT_1: It has also been distributed
KEYWORD: within
VARIABLE: the
CONDITION: local urban
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Kindly provide some information on your organization and major tasks, where MACC products could be of help
### Assistant:
KEYWORD: where
CAUSE_1: MACC products could be of help
EFFECT_1: Kindly provide some information on your organization
AND: and
EFFECT_2: major tasks
VARIABLE: MACC products
CONDITION: could be of help
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When NASA Crew Transportation System (CTS) certification is achieved for ISS transportation, the Commercial Provider will be eligible to provide services to and from the ISS during the services phase of the NASA Commercial Crew Program (CCP)
### Assistant:
CAUSE_1: NASA Crew Transportation System (CTS) certification is achieved for ISS transportation
KEYWORD: during
EFFECT_1: the Commercial Provider will be eligible to provide services to
AND: and
EFFECT_2: from the ISS
VARIABLE: the services phase of the NASA Commercial Crew Program (CCP)
CONDITION: from the ISS
CAUSE_2: the services phase of the NASA Commercial Crew Program (CCP)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft will be capable of transporting NASA crew to the ISS and docking 24 hours after launch
### Assistant:
KEYWORD: after
CAUSE_1: launch
EFFECT_1: The spacecraft will be capable of transporting NASA crew to the ISS
EFFECT_2: docking 24 hours
AND: and
VARIABLE: launch
CONDITION: docking 24 hours
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Mission launch opportunities must be accomplished within NASA-specified timeframes to accommodate ongoing ISS science operations and to minimize ISS traffic model impacts associated with other visiting vehicles
### Assistant:
CAUSE_1: Mission launch opportunities must be accomplished within NASA-specified timeframes
EFFECT_1: to accommodate ongoing ISS science operations
EFFECT_2: to minimize ISS traffic model impacts associated with other visiting vehicles
AND: and
VARIABLE: ISS traffic model impacts associated with other visiting vehicles
CONDITION: to minimize
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The NASA flight surgeons will serve as the physicians for the NASA crew during all phases of flight
### Assistant:
CAUSE_1: all phases of flight
KEYWORD: during
EFFECT_1: The NASA flight surgeons will serve as the physicians for the NASA crew
VARIABLE: The NASA flight surgeons
CONDITION: will serve as the physicians for the NASA crew
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Lift-off occurs when the launch site passes through the ISS’s orbital plane
### Assistant:
CAUSE_1: the launch site passes through the ISS’s orbital plane
EFFECT_1: Lift-off occurs
KEYWORD: when
VARIABLE: Lift-off
CONDITION: occurs
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
These maneuvers bring the spacecraft closer towards the ISS
### Assistant:
CAUSE_1: These maneuvers
EFFECT_1: bring the spacecraft closer towards the ISS
VARIABLE: the spacecraft
CONDITION: closer towards the ISS
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
ISS standard communications are used when the spacecraft closes to within tens of kilometers to the ISS and ship-to-ship voice communications are established
### Assistant:
EFFECT_1: ISS standard communications are used
KEYWORD: when
CAUSE_1: the spacecraft closes to within tens of kilometers to the ISS
AND: and
CAUSE_2: ship-to-ship voice communications are established
VARIABLE: hip-to-ship voice communications
CONDITION: are established
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When in close proximity to the ISS, after receiving approval from both the spacecraft and MCC-H, the spacecraft begins a final approach to a NASA-specified docking port on the ISS
### Assistant:
CAUSE_1: in close proximity to the ISS
CAUSE_2: receiving approval from both the spacecraft
CAUSE_3: MCC-H
EFFECT_1: the spacecraft begins a final approach to a NASA-specified docking port on the ISS
AND: and
KEYWORD: When
VARIABLE: the spacecraft
CONDITION: in close proximity to the ISS
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If that docking is also unsuccessful, the spacecraft will separate from the ISS vicinity on a collision-free safe trajectory and the spacecraft will prepare for a final re-rendezvous and docking attempt on the following crew day
### Assistant:
CAUSE_1: that docking is also unsuccessful
EFFECT_1: the spacecraft will separate from the ISS vicinity on a collision-free safe trajectory
EFFECT_2: the spacecraft will prepare for a final re-rendezvous
EFFECT_3: docking attempt on the following crew day
AND: and
KEYWORD: If
VARIABLE: the spacecraft
CONDITION: docking attempt on the following crew day
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Because of the short time duration from launch to docking, internal maintenance of the spacecraft should not be necessary, nor should the crew require certain complex habitability items for food and waste management that can be found on longer duration vehicles, like the Space Shuttle or the ISS
### Assistant:
CAUSE_1: the short time duration from launch to docking
EFFECT_1: internal maintenance of the spacecraft should not be necessary
NEGATION: should not
EFFECT_2: should the crew require certain complex habitability items for food
CONDITION: require certain complex habitability items for food
NOT_RELEVANT: that can be found on longer duration vehicles, like the Space Shuttle or the ISS
AND: and
KEYWORD: Because of
VARIABLE: waste management
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Similarly, EVA will not be performed during the short free-flight duration from undocking to landing
### Assistant:
KEYWORD: during
CAUSE_1: the short free-flight duration from undocking to landing
EFFECT_1: EVA will not be performed
NOT_RELEVANT: Similarly
VARIABLE: free-flight duration from undocking to landing
NEGATION: will not
CONDITION: short
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft remains quiescent and requires minimal maintenance during docked operations
### Assistant:
CAUSE_1: docked operations
KEYWORD: during
EFFECT_1: The spacecraft remains quiescent
EFFECT_2: requires minimal maintenance
AND: and
VARIABLE: docked operations
CONDITION: requires minimal maintenance
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The ISS will provide power and environmental resources to the spacecraft in order to maintain the vehicle in a return-to-Earth ready state
### Assistant:
CAUSE_1: The ISS will provide power
CAUSE_2: environmental resources to the spacecraft
KEYWORD: in order to
EFFECT_1: maintain the vehicle in a return-to-Earth ready state
VARIABLE: the vehicle
CONDITION: in a return-to-Earth ready state
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Due to limitations in the number of docking ports on the ISS, the spacecraft may need to be relocated from one docking port to another during ISS increment operations to provide operational flexibility
### Assistant:
CAUSE_1: limitations in the number of docking ports on the ISS
EFFECT_1: the spacecraft may need to be relocated from one docking port to another
KEYWORD: Due to
CAUSE_2: ISS increment operations
EFFECT_2: to provide operational flexibility
VARIABLE: operational flexibility
CONDITION: to provide
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If necessary, the spacecraft atmosphere will be purged during this activity
### Assistant:
KEYWORD: during
CAUSE_1: this activity
EFFECT_1: the spacecraft atmosphere will be purged
NOT_RELEVANT: If necessary
VARIABLE: this activity
CONDITION: will be purged
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The ISS will provide attitude control during this 24-hour period
### Assistant:
CAUSE_1: this 24-hour period
KEYWORD: during
EFFECT_1: The ISS will provide attitude control
VARIABLE: this 24-hour period
CONDITION: will provide attitude control
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After the ISS returns to a habitable environment state, the crew will open the hatch and re-enter the ISS
### Assistant:
NEGATION: After
CAUSE_1: the ISS returns to a habitable environment state
EFFECT_1: the crew will open the hatch
AND: and
EFFECT_2: re-enter the ISS
VARIABLE: the crew
CONDITION: re-enter the ISS
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the ISS cannot achieve a habitable state during this period, the crew will return to Earth
### Assistant:
CAUSE_1: the ISS cannot achieve a habitable state during this period
KEYWORD: If
EFFECT_1: the crew will return to Earth
VARIABLE: the crew
NEGATION: cannot
CONDITION: will return to Earth
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Due to the limited size and power available, the spacecraft is expected to have basic first aid and life support capability to respond to immediate medical conditions in the free-flight mode
### Assistant:
CAUSE_1: the limited size
CAUSE_2: power available
AND: and
EFFECT_1: the spacecraft is expected to have basic first aid
EFFECT_2: life support capability to respond to immediate medical conditions in the free-flight mode
KEYWORD: Due to
VARIABLE: the spacecraft
CONDITION: life support capability to respond to immediate medical conditions in the free-flight mode
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After handover is complete, the current increment crew will return in the spacecraft
### Assistant:
CAUSE_1: handover is complete
EFFECT_1: the current increment crew will return in the spacecraft
KEYWORD: After
VARIABLE: the current increment crew
CONDITION: will return in the spacecraft
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
During this circumnavigation, the crew will capture imagery to allow post-flight analysis of the ISS configuration
### Assistant:
CAUSE_1: this circumnavigation
EFFECT_1: the crew will capture imagery to allow post-flight analysis of the ISS configuration
KEYWORD: During
VARIABLE: this circumnavigation
CONDITION: will capture imagery to allow post-flight analysis of the ISS configuration
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft may also perform orbital maneuvers in low Earth orbit (LEO) to better accommodate alternate landing sites
### Assistant:
EFFECT_1: to better accommodate alternate landing sites
CAUSE_1: The spacecraft may also perform orbital maneuvers in low Earth orbit (LEO)
VARIABLE: alternate landing sites
CONDITION: to better accommodate
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Because of the deconditioned state of the crew, special considerations need to be provided for crew recovery, medical care, and other post-landing care activities
### Assistant:
CAUSE_1: the deconditioned state of the crew
EFFECT_1: special considerations need to be provided for crew recovery
CONDITION: other post-landing care activities
EFFECT_3: other post-landing care activities
KEYWORD: Because of
VARIABLE: special considerations
EFFECT_2: medical care
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
NASA personnel will begin post- flight medical and science evaluations soon after egress is complete in a temporary facility at the landing location
### Assistant:
CAUSE_1: egress is complete in a temporary facility at the landing location
EFFECT_1: NASA personnel will begin post- flight medical
AND: and
EFFECT_2: science evaluations
KEYWORD: soon after
VARIABLE: egress
CONDITION: is complete in a temporary facility at the landing location
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After recovery operations are complete, the spacecraft will be safed and transported to a location for subsequent post-flight evaluation
### Assistant:
KEYWORD: After
CAUSE_1: recovery operations are complete
EFFECT_1: the spacecraft will be safed
EFFECT_2: transported to a location for subsequent post-flight evaluation
AND: and
VARIABLE: the spacecraft
CONDITION: transported to a location for subsequent post-flight evaluation
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Nothing in this document supersedes applicable laws and regulations unless a specific exemption has been obtained
### Assistant:
CAUSE_1: a specific exemption has been obtained
KEYWORD: unless
EFFECT_1: Nothing in this document supersedes applicable laws
EFFECT_2: regulations
AND: and
VARIABLE: a specific exemption
CONDITION: has been obtained
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In the event of conflict between this document and any spreadsheet exports of the NASA requirements database, the contents of this document take precedence
### Assistant:
KEYWORD: In the event of
CAUSE_1: conflict between this document and any spreadsheet exports of the NASA requirements database
EFFECT_1: the contents of this document take precedence
VARIABLE: the contents of this document
CONDITION: take precedence
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A "To Be Resolved" (TBR) is used when there is a disagreement on the requirement between technical teams
### Assistant:
CAUSE_1: there is a disagreement on the requirement between technical teams
EFFECT_1: A "To Be Resolved" (TBR) is used
KEYWORD: there
CONDITION: is used
VARIABLE: A "To Be Resolved" (TBR)
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
When a change in a d characteristic is deemed appropriate, notification of the change shall be sent to the appropriate review and change control authority
### Assistant:
CAUSE_1: a change in a d characteristic is deemed appropriate
EFFECT_1: notification of the change shall be sent to the appropriate review
EFFECT_2: change control authority
KEYWORD: When
AND: and
VARIABLE: notification of the change
CONDITION: change control authority
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Within the Applicable Documents list below these standards will be shown as fully applicable
### Assistant:
CAUSE_1: the Applicable Documents list below
EFFECT_1: these standards will be shown as fully applicable
KEYWORD: Within
VARIABLE: these standards
CONDITION: will be shown as fully applicable
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Verification language for these technical standards that must be met can be found in Section 4.0 of this document
### Assistant:
CAUSE_1: Verification language for these technical standards
KEYWORD: that
VARIABLE: Verification language for these technical standards
CONDITION: can be found in Section 4.0 of this document
EFFECT_1: can be found in Section 4.0 of this document
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Any Applicable Document listed within these “meet” documents are considered to be “meet the intent of” documents and alternative standards can be proposed
### Assistant:
CAUSE_1: Applicable Document listed within these “meet” documents
EFFECT_1: are considered to be “meet the intent of” documents
AND: and
EFFECT_2: alternative standards can be proposed
VARIABLE: alternative standards
CONDITION: can be proposed
KEYWORD: Any
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Verification language for these technical standards that must be met or complied with can be found in Section 4.0 of this document
### Assistant:
CAUSE_1: Verification language for these technical standards
CAUSE_2: complied with
KEYWORD: that
OR: or
EFFECT_1: can be found in Section 4.0 of this document
VARIABLE: Verification language for these technical standards
CONDITION: can be found in Section 4.0 of this document
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This section will provide a list of documents and technical and manufacturing standards that can be used as a reference during the launch vehicle, spacecraft, and ground system design activities
### Assistant:
KEYWORD: that
CAUSE_1: the launch vehicle
CAUSE_2: spacecraft
AND: and
CAUSE_3: ground system design activities
EFFECT_1: can be used as a reference
EFFECT_2: technical
EFFECT_3: manufacturing standards
NOT_RELEVANT: This section will provide
VARIABLE: ground system design activities
CONDITION: launch
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: EVA will not occur because of the short time in the spacecraft early in the mission when the complexity of preparing for and executing an EVA precludes that activity
### Assistant:
CAUSE_1: the short time in the spacecraft early in the mission
CAUSE_2: the complexity of preparing for
CAUSE_3: executing an EVA precludes that activity
AND: and
KEYWORD: because of
EFFECT_1: EVA will not occur
NEGATION: will not
VARIABLE: an EVA precludes that activity
CONDITION: executing
NOT_RELEVANT: Rationale
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
EVAs during the docked timeframe impact ISS crew time, consumables, and on-going science activities
### Assistant:
CAUSE_2: the docked timeframe
CAUSE_1: EVAs
KEYWORD: during
EFFECT_1: impact ISS crew time
EFFECT_2: consumables
AND: and
EFFECT_3: on-going science activities
VARIABLE: the docked timeframe
CONDITION: impact
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It is easier for the crew to have the same individual item and familiarity and training with the common items (e.g., Medical Kit) during both the free-flight and docked portions of the mission
### Assistant:
KEYWORD: during
CAUSE_1: the free-flight
AND: both
CAUSE_2: docked portions of the mission
EFFECT_1: It is easier for the crew to have the same individual item
EFFECT_2: familiarity
EFFECT_3: training with the common items
NOT_RELEVANT: (e.g., Medical Kit)
VARIABLE: docked portions of the mission
CONDITION: training with the common items
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The CTS shall provide habitable consumables, such as food, water, clothing, oxygen, nitrogen, CO2 removal, personal hygiene, and other required consumables, for non-NASA crew during the docked portion of the mission when the non-NASA crewmembers are on the ISS
### Assistant:
KEYWORD: when
CAUSE_1: the docked portion of the mission
CAUSE_2: the non-NASA crewmembers are on the ISS
EFFECT_1: for non-NASA crew
NOT_RELEVANT: such as food, water, clothing, oxygen, nitrogen, CO2 removal, personal hygiene, and other required consumables,
VARIABLE: the non-NASA crewmembers
CONDITION: are on the ISS
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The nitrogen only needs to be provided if any equipment or operation to support the non-NASA crew is venting air overboard as part of its nominal operation
### Assistant:
CAUSE_1: any equipment
CAUSE_2: operation to support the non-NASA crew is venting air overboard as part of its nominal operation
OR: or
EFFECT_1: The nitrogen only needs to be provided
KEYWORD: if
VARIABLE: operation to support the non-NASA crew
CONDITION: is venting air overboard as part of its nominal operation
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft shall accommodate an additional 100 kg (220.5 lbm) of soft stowage cargo in lieu of a NASA crewmember during a single mission per requirements in SSP 50833, Section 3.1.2, except for Triple CTB's in section 3.1.2.1 and all M-Bags in section 3.1.2.2
### Assistant:
KEYWORD: during
CAUSE_1: a single mission per requirements in SSP 50833, Section 3.1.2
NEGATION: except for
CAUSE_2: Triple CTB's in section 3.1.2.1
AND: and
CAUSE_3: all M-Bags in section 3.1.2.2
EFFECT_1: of soft stowage cargo in lieu of a NASA crewmember
NOT_RELEVANT: (220.5 lbm)
VARIABLE: all M-Bags in section 3.1.2.2
CONDITION: of soft stowage cargo in lieu of a NASA crewmember
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft shall accommodate hard mounted time-critical cargo consisting of either two powered single middeck lockers or one powered double middeck locker in the pressurized volume during a single mission, and maintain cargo services per requirements in SSP 50833, Section 3.1.1 while installed
### Assistant:
KEYWORD: while
CAUSE_1: a single mission
AND: and
EFFECT_3: maintain cargo services per requirements in SSP 50833, Section 3.1.1
CAUSE_2: installed
EFFECT_1: The spacecraft shall accommodate hard mounted time-critical cargo consisting of either two powered single middeck lockers
EFFECT_2: one powered double middeck locker in the pressurized volume
OR: or
VARIABLE: cargo services per requirements in SSP 50833, Section 3.1.1
CONDITION: installed
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When the need arises, operational flexibility is required to allow the ISS Program to fly additional passive cargo within the mass and volume of the powered lockers
### Assistant:
CAUSE_1: the need arises
CAUSE_2: operational flexibility is required
EFFECT_1: to allow the ISS Program to fly additional passive cargo within the mass
EFFECT_2: volume of the powered lockers
AND: and
KEYWORD: When
VARIABLE: the ISS Program
CONDITION: volume of the powered lockers
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The CTS shall maintain cargo services per SSP 50833, Sections 3.1.1 and install time-critical cargo within 24 hours of a scheduled launch
### Assistant:
KEYWORD: within
CAUSE_1: 24 hours of a scheduled launch
EFFECT_1: The CTS shall maintain cargo services per SSP 50833, Sections 3.1.1
AND: and
EFFECT_2: install time-critical cargo
VARIABLE: 24 hours of a scheduled launch
CONDITION: install time-critical cargo
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The CTS may select the specific integration window, as long as it is within 24 hours of scheduled launch
### Assistant:
KEYWORD: as long as
CAUSE_1: it is within 24 hours of scheduled launch
VARIABLE: The CTS
CONDITION: may select the specific integration window
EFFECT_1: The CTS may select the specific integration window
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The time-critical cargo installation may include an Integrated Verification Test (IVT) to verify the interface between the spacecraft and the payload and must be completed within the L-24 window of opportunity
### Assistant:
CAUSE_1: The time-critical cargo installation may include an Integrated Verification Test (IVT)
EFFECT_1: to verify the interface between the spacecraft and the payload
EFFECT_2: must be completed within the L-24 window of opportunity
AND: and
VARIABLE: the interface between the spacecraft and the payload
CONDITION: must be completed within the L-24 window of opportunity
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In the event that a launch is scrubbed or delayed and rescheduled, access to remove and re-install the time-critical cargo would need to be provided as well
### Assistant:
CAUSE_1: a launch is scrubbed
CAUSE_2: delayed
CAUSE_3: rescheduled
EFFECT_1: access to remove
EFFECT_2: re-install the time-critical cargo would need to be provided as well
KEYWORD: In the event that
VARIABLE: re-install the time-critical cargo
CONDITION: would need to be provided as well
OR: or
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The CTS shall remove ISS time-critical cargo from the spacecraft no later than 1 hour after crew egress, post-docking and post-landing at a supported landing site
### Assistant:
CAUSE_1: no
CAUSE_2: post-docking
CAUSE_3: post-landing at a supported landing site
EFFECT_1: The CTS shall remove ISS time-critical cargo from the spacecraft
NEGATION: no
KEYWORD: later than
VARIABLE: 1 hour
CONDITION: post-landing at a supported landing site
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Depending on the NRHO targeted, the minimum altitude can vary
### Assistant:
CAUSE_1: the NRHO targeted
EFFECT_1: the minimum altitude can vary
KEYWORD: Depending on
VARIABLE: the minimum altitude
CONDITION: can vary
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway shall provide a mission life capability for each module of at least 15 years after deployment
### Assistant:
NEGATION: after
CAUSE_2: deployment
VARIABLE: each module
EFFECT_1: The Gateway shall provide a mission life capability
CONDITION: of at least 15 years
KEYWORD: for
CAUSE_1: each module of at least 15 years
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Non-critical items such as payloads as well as potential non-critical air cooled electronics are assumed to be powered off during a depress transition
### Assistant:
CAUSE_1: a depress transition
KEYWORD: during
EFFECT_1: Non-critical items
AND: as well as
EFFECT_2: potential non-critical air cooled electronics are assumed to be powered off
VARIABLE: a
CONDITION: depress
NOT_RELEVANT: such as payloads
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Consideration of the method of disposal during design will ensure required resources and functions are available
### Assistant:
NOT_RELEVANT: Rationale
CAUSE_2: design
KEYWORD: during
CAUSE_1: Consideration of the method of disposal
EFFECT_1: will ensure required resources
AND: and
EFFECT_2: functions are available
VARIABLE: design
CONDITION: Consideration of
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway GNC needs to have a mass property limits to enable requirements verification and vehicle dynamics analysis
### Assistant:
CAUSE_1: The Gateway GNC needs to have a mass property limits
EFFECT_1: to enable requirements verification
AND: and
EFFECT_2: vehicle dynamics analysis
VARIABLE: vehicle dynamics analysis
CONDITION: to enable
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway shall change the Gateway attitude to any orientation (as needed) to meet operational constraints for all configurations
### Assistant:
CAUSE_1: The Gateway shall change the Gateway attitude to any orientation
NOT_RELEVANT: (as needed)
EFFECT_1: to meet operational constraints for all configurations
VARIABLE: operational constraints for all configurations
CONDITION: to meet
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The absolute attitude determination system design requires provision for the spacecraft to estimate the vehicle's attitude and attitude rate in inertial space
### Assistant:
CAUSE_1: The absolute attitude determination system design requires provision for the spacecraft
EFFECT_1: to estimate the vehicle's attitude
EFFECT_2: attitude rate in inertial space
AND: and
VARIABLE: attitude rate in inertial space
CONDITION: to estimate
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Launch cadence for vehicles should not depend on crew being present on board the Gateway since this would impose undue time and programmatic constraints
### Assistant:
NOT_RELEVANT: Rationale
EFFECT_1: Launch cadence for vehicles should not depend on crew being present on board the Gateway
KEYWORD: since
CAUSE_1: this would impose undue time
AND: and
CAUSE_2: programmatic constraints
VARIABLE: this
NEGATION: should not
CONDITION: programmatic constraints
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The specification of the propellant allows for clarity in the fluid interface between PPE and the docking mechanism
### Assistant:
CAUSE_1: The specification of the propellant
EFFECT_1: clarity in the fluid interface between PPE and the docking mechanism
VARIABLE: the propellant
CONDITION: The specification of
KEYWORD: allows for
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Use of bipropellant nitrogen tetroxide limits the commercial options for acquisition devices and introduces saturation issues
### Assistant:
CAUSE_1: Use of bipropellant nitrogen tetroxide
EFFECT_1: limits the commercial options for acquisition devices
EFFECT_2: introduces saturation issues
AND: and
VARIABLE: saturation issues
CONDITION: introduces
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: An integrated Gateway Communication System will be implemented across Gateway to provide the communication capabilities for Gateway and Gateway utilization functions
### Assistant:
NOT_RELEVANT: Rationale
CAUSE_1: An integrated Gateway Communication System will be implemented across Gateway
EFFECT_1: to provide the communication capabilities for Gateway
EFFECT_2: Gateway utilization functions
VARIABLE: Gateway utilization functions
CONDITION: to provide
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Gateway communications with Earth enables data transfer between Earth and the Gateway (including commands, file uploads, telemetry, engineering and science data, voice, video and images, and crew-related data), as well as supports tracking and position determination of the Gateway
### Assistant:
NOT_RELEVANT: (including commands, file uploads, telemetry, engineering and science data, voice, video and images, and crew-related data),
CAUSE_1: Gateway communications with Earth
EFFECT_1: enables data transfer between Earth and the Gateway
AND: and
EFFECT_2: supports tracking
EFFECT_3: position determination of the Gateway
VARIABLE: data transfer between Earth and the Gateway
CONDITION: supports
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway shall communicate with Earth without placing constraints on flight attitudes during nominal operations
### Assistant:
CAUSE_1: nominal operations
KEYWORD: during
EFFECT_1: The Gateway shall communicate with Earth
VARIABLE: constraints on flight attitudes
CONDITION: placing
NEGATION: without
EFFECT_2: without placing constraints on flight attitudes
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This means that the Gateway communication system(s), during nominal operations, must be able to support communications with Earth in any flight attitude
### Assistant:
KEYWORD: in
CAUSE_1: nominal operations
NOT_RELEVANT: This means that
EFFECT_1: must be able to support communications with Earth
VARIABLE: any flight attitude
CONDITION: nominal
CAUSE_2: any flight attitude
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Gateway will need to provide communication data downlink capacity to support science, payload, crew, etc
### Assistant:
NOT_RELEVANT: etc
CAUSE_1: Gateway will need to provide communication data downlink capacity
EFFECT_1: to support science
EFFECT_2: payload
EFFECT_3: crew
VARIABLE: crew
CONDITION: to support
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Lunar System assets will require command and telemetry links to execute command and relay data from their sensors and experiments to the Gateway
### Assistant:
NOT_RELEVANT: Rationale
CAUSE_1: Lunar System assets will require command
CAUSE_2: telemetry links
EFFECT_1: to execute command
EFFECT_2: relay data from their sensors
EFFECT_3: experiments to the Gateway
VARIABLE: data from their sensors
CONDITION: relay
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In addition, the radiometric tracking will provide range and range rate information to the VV’s GNC system to augment its navigation sensor information
### Assistant:
NOT_RELEVANT: In addition
CAUSE_1: the radiometric tracking will provide range
CAUSE_2: range rate information to the VV’s GNC system
EFFECT_1: to augment its navigation sensor information
AND: and
VARIABLE: its navigation sensor information
CONDITION: to augment
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
To maintain compatibility with Orion rendezvous link, the ICSIS defines this link at S-band
### Assistant:
EFFECT_1: To maintain compatibility with Orion rendezvous link
CAUSE_1: the ICSIS defines this link at S-band
VARIABLE: compatibility with Orion rendezvous link
CONDITION: To maintain
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway shall support direct voice communications between crewed spacecraft during proximity operations
### Assistant:
CAUSE_1: proximity operations
KEYWORD: during
VARIABLE: The Gateway
CONDITION: shall support direct voice communications between crewed spacecraft
EFFECT_1: The Gateway shall support direct voice communications between crewed spacecraft
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: Coordinated control is needed on the vehicle level
### Assistant:
CAUSE_1: the vehicle level
EFFECT_1: Coordinated control is needed
VARIABLE: Coordinated control
CONDITION: is needed
NOT_RELEVANT: Rationale
KEYWORD: on
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Orderly flow of data and commands reduces complexity and increases robustness
### Assistant:
CAUSE_1: Orderly flow of data
CAUSE_2: commands
AND: and
EFFECT_1: reduces complexity
EFFECT_2: increases robustness
VARIABLE: robustness
CONDITION: increases
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway VSM will manage the resource of bandwidth in order to provide the ground controllers with the best possible information
### Assistant:
CAUSE_1: The Gateway VSM will manage the resource of bandwidth
EFFECT_1: to provide the ground controllers with the best possible information
KEYWORD: in order
VARIABLE: the ground controllers
CONDITION: with the best possible information
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The curation of data must occur throughout the vehicle because of limited processing and network resources throughout the spacecraft
### Assistant:
CAUSE_1: limited processing
CAUSE_2: network resources throughout the spacecraft
AND: and
EFFECT_1: The curation of data must occur throughout the vehicle
VARIABLE: network resources throughout the spacecraft
CONDITION: limited
KEYWORD: because of
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
As such, securing state data reduces the risk of an incomplete or insufficient recovery due to data integrity issues
### Assistant:
CAUSE_2: data integrity issues
NOT_RELEVANT: As such
CAUSE_1: securing state data
EFFECT_1: reduces the risk of an incomplete
EFFECT_2: insufficient recovery
KEYWORD: due to
OR: or
VARIABLE: data integrity issues
CONDITION: reduces
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Gateway shall be able to update executable Flight Software (FSW) and configuration data to support ongoing vehicle operations and configurations
### Assistant:
CAUSE_1: The Gateway shall be able to update executable Flight Software
NOT_RELEVANT: (FSW)
AND: and
CAUSE_2: configuration data
EFFECT_1: to support ongoing vehicle operations
EFFECT_2: configurations
VARIABLE: ongoing vehicle operations
CONDITION: to support
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Rationale: As the Gateway increases in capacity and capability, software updates will be required to meet changing objectives
### Assistant:
NOT_RELEVANT: Rationale
KEYWORD: As
CAUSE_1: the Gateway increases in capacity
AND: and
CAUSE_2: capability
EFFECT_1: software updates will be required to meet changing objectives
VARIABLE: software updates
CONDITION: will be required to meet changing objectives
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Providing the capability to update all executable FSW and configuration data will provide flexibility
### Assistant:
CAUSE_1: Providing the capability to update all executable FSW
AND: and
CAUSE_2: configuration data
EFFECT_1: will provide flexibility
VARIABLE: configuration data
CONDITION: Providing
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This capability allows the Gateway to stage software releases
### Assistant:
CAUSE_1: This capability
EFFECT_1: allows the Gateway to stage software releases
VARIABLE: the Gateway
CONDITION: to stage software releases
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the crew vacates one module of the system or transfers to another Human-Rated system as part of the reference mission, there is a capability for humans to monitor the unoccupied modules
### Assistant:
CAUSE_1: the crew vacates one module of the system
OR: or
CAUSE_2: transfers to another Human-Rated system
KEYWORD: If
CAUSE_3: the reference mission
EFFECT_1: there is a capability for humans to monitor the unoccupied modules
VARIABLE: there
CONDITION: is a capability for humans to monitor the unoccupied modules
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Any application developed as a cFS compatible software configuration item can be re-hosted on another module as long as processor capacity exists
### Assistant:
CAUSE_2: processor capacity exists
CAUSE_1: Any application developed as a cFS compatible software configuration item
KEYWORD: as long as
EFFECT_1: can be re-hosted on another module
VARIABLE: processor capacity
CONDITION: exists
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The intent is to provide isolation and recovery from faults where the system design (e.g., redundant strings or system isolation) enables the implementation of this capability
### Assistant:
NOT_RELEVANT: (e.g., redundant strings or system isolation)
EFFECT_1: The intent is to provide isolation
EFFECT_2: recovery from faults
KEYWORD: where
CAUSE_1: enables the implementation of this capability
VARIABLE: the system design
CONDITION: enables the implementation of this capability
AND: and
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Also, any faults identified during system development should be protected by isolation and recovery
### Assistant:
NOT_RELEVANT: Also
CAUSE_1: any faults identified during system development
EFFECT_1: should be protected by isolation
AND: and
EFFECT_2: recovery
VARIABLE: any faults
CONDITION: recovery
### END
|
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