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### Instruction:
Extract the cause and effect entities from the following sentence:
Implementation of corrective action is subsequently found to have been inadequate to prevent a reoccurrence at any location of recently identified deficiencies
### Assistant:
CAUSE_1: Implementation of corrective action is subsequently found to have been inadequate
EFFECT_1: to prevent a reoccurrence at any location of recently identified deficiencies
VARIABLE: a reoccurrence at any location of recently identified deficiencies
CONDITION: to prevent
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Where the accreditation body is notified that unsatisfactory work or non-compliance with the scheme requirements has occurred and the matter is disputed by the Provider, the accreditation body shall carry out an investigation
### Assistant:
CAUSE_1: the accreditation body is notified that unsatisfactory work
CAUSE_2: non-compliance with the scheme requirements has occurred
CAUSE_3: the matter is disputed by the Provider
EFFECT_1: the accreditation body shall carry out an investigation
KEYWORD: Where
OR: or
AND: and
VARIABLE: the accreditation body
CONDITION: shall carry out an investigation
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Under certain circumstances an interested party or Provider may wish to escalate an issue to the accreditation body for further investigation
### Assistant:
CAUSE_1: certain circumstances
EFFECT_1: an interested party
EFFECT_2: Provider may wish to escalate an issue to the accreditation body for further investigation
KEYWORD: Under
OR: or
VARIABLE: Provider
CONDITION: may wish to escalate an issue to the accreditation body for further investigation
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Where the investigation is to be carried out following a complaint made by the adopting network operator or other party, the Provider shall allow the complainant to be represented during the investigation
### Assistant:
CAUSE_1: the investigation is to be carried out
CAUSE_3: other party
EFFECT_1: the Provider shall allow the complainant to be represented during the investigation
KEYWORD: Where
OR: or
VARIABLE: a complaint
CONDITION: made by the adopting network operator
CAUSE_2: a complaint made by the adopting network operator
AND: following
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Where the investigation is to be carried out following a complaint made by the Provider, the interested party shall allow the complainant to be represented during the investigation
### Assistant:
CAUSE_1: the investigation is to be carried out
EFFECT_1: the interested party shall allow the complainant to be represented during the investigation
KEYWORD: Where
VARIABLE: the interested party
CONDITION: shall allow the complainant to be represented during the investigation
CAUSE_2: a complaint made by the Provider
AND: following
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Once accreditation has been cancelled then re-accreditation will be subject to a full re-assessment of the Provider
### Assistant:
CAUSE_1: accreditation has been cancelled
EFFECT_1: re-accreditation will be subject to a full re-assessment of the Provider
KEYWORD: Once
VARIABLE: re-accreditation
CONDITION: will be subject to a full re-assessment of the Provider
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the Provider wishes to object to action taken, including withdrawal of accreditation, by the accreditation body they shall, within twenty-one days of the issue of the notification to them, give notice in writing to the accreditation body of their objections setting out clearly the grounds for an appeal
### Assistant:
CAUSE_1: by the accreditation body
AND: including
CAUSE_2: withdrawal of accreditation
EFFECT_1: give notice in writing to the accreditation body of their objections setting out clearly the grounds for an appeal
CAUSE_3: twenty-one days of the issue of the notification to them
KEYWORD: within
VARIABLE: twenty-one days of the issue of the notification to them
CONDITION: give notice in writing to the accreditation body of their objections setting out clearly the grounds for an appeal
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Alternatively, if the appeals process finds the accreditation withdrawal to be the correct course of action then re-instatement of the Provider would entail a full re-evaluation
### Assistant:
NOT_RELEVANT: Alternatively
KEYWORD: then
CAUSE_1: the appeals process finds the accreditation withdrawal to be the correct course of action
EFFECT_1: re-instatement of the Provider would entail a full re-evaluation
VARIABLE: re-instatement of the Provider
CONDITION: would entail a full re-evaluation
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
At the end of the 3 year full accreditation period a reassessment covering all required scopes of accreditation shall be undertaken
### Assistant:
CAUSE_1: the end of the 3 year full accreditation period
EFFECT_1: a reassessment covering all required scopes of accreditation shall be undertaken
VARIABLE: a reassessment covering all required scopes of accreditation
CONDITION: shall be undertaken
KEYWORD: At
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The maximum period of repair once a failure of SKA1 has been established, shall be 1 (TBC) week
### Assistant:
CAUSE_1: a failure of SKA1 has been established
EFFECT_1: shall be 1 (TBC) week
KEYWORD: once
VARIABLE: a failure of SKA1
CONDITION: has been established
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
All subsystems shall not lose more than 4 hours of acquired or processed measurement data (not yet permanently stored) as a result of an outage in the external power supply
### Assistant:
CAUSE_1: an outage in the external power supply
EFFECT_1: All subsystems shall not lose more than 4 hours of acquired
EFFECT_2: processed measurement data
NOT_RELEVANT: (not yet permanently stored)
KEYWORD: as a result of
VARIABLE: an outage in the external power supply
NEGATION: shall not
CONDITION: processed measurement data
OR: or
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
All subsystems shall have the capability to restart autonomously and without failures, after an outage in external power supply
### Assistant:
CAUSE_1: an outage in external power supply
NEGATION: after
EFFECT_1: All subsystems shall have the capability to restart autonomously
EFFECT_2: without failures
AND: and
VARIABLE: an outage in external power supply
CONDITION: without failures
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
All subsystems shall be available within 5 minutes (TBC) after restart
### Assistant:
CAUSE_1: restart
EFFECT_1: All subsystems shall be available within 5 minutes (TBC)
NEGATION: after
VARIABLE: restart
CONDITION: shall be available within 5 minutes (TBC)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Software configuration items shall provide unambiguous inputs to allow the maintenance of a configuration management database
### Assistant:
CAUSE_1: Software configuration items shall provide unambiguous inputs
EFFECT_1: the maintenance of a configuration management database
KEYWORD: to allow
VARIABLE: a configuration management database
CONDITION: the maintenance of
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The software identification shall be available to the operator within 10 seconds (TBC) after the request was made
### Assistant:
CAUSE_1: the request was made
EFFECT_1: The software identification shall be available to the operator within 10 seconds (TBC)
NEGATION: after
VARIABLE: The software identification
CONDITION: shall be available to the operator within 10 seconds (TBC)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SKA equipment shall be able to operate without degradation of the performance during any type of precipitation (to be specified)
### Assistant:
CAUSE_1: any type of precipitation
EFFECT_1: SKA equipment shall be able to operate without degradation of the performance
KEYWORD: during
NOT_RELEVANT: (to be specified)
VARIABLE: any type of precipitation
CONDITION: shall be able to operate without degradation of the performance
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Clipping occurs when the range of the input signal voltages to the ADC is larger than the ADC voltage range
### Assistant:
CAUSE_1: the range of the input signal voltages to the ADC is larger than the ADC voltage range
EFFECT_1: Clipping occurs
KEYWORD: when
VARIABLE: the range of the input signal voltages to the ADC
CONDITION: is larger than the ADC voltage range
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The number of ADC bits shall therefore be sufficient to prevent clipping due to strong interfering signals such as airplane DME and satellite signals
### Assistant:
CAUSE_1: strong interfering signals
NOT_RELEVANT: such as airplane DME and satellite signals
EFFECT_1: The number of ADC bits shall therefore be sufficient to prevent clipping
KEYWORD: due to
VARIABLE: interfering signals
CONDITION: strong
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Maximum effort (to be detailed) shall be put into designing signal interfaces to withstand noisy environments and to minimize the generation of excessive noise
### Assistant:
CAUSE_1: shall be put into designing signal interfaces
EFFECT_1: to withstand noisy environments
AND: and
EFFECT_2: to minimize the generation of excessive noise
VARIABLE: the generation of excessive noise
CONDITION: to minimize
NOT_RELEVANT: (to be detailed)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Interference due to selfgenerated RFI shall not degrade the performance of the instrument by greater than 1% by any measure (TBC)
### Assistant:
CAUSE_1: selfgenerated RFI
EFFECT_1: shall not degrade the performance of the instrument by greater than 1% by any measure (TBC)
KEYWORD: due to
NEGATION: shall not
VARIABLE: selfgenerated RFI
CONDITION: degrade the performance of the instrument by greater than 1% by any measure (TBC)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SKA dedicated buildings and equipment located on sites shall be protected to minimize the effects of a direct lightning strike using certified methods (e.g. as described in NEN 1014)
### Assistant:
CAUSE_1: to minimize the effects of a direct lightning strike using certified methods
NOT_RELEVANT: (e.g. as described in NEN 1014)
EFFECT_1: SKA dedicated buildings
EFFECT_2: equipment located on sites shall be protected
AND: and
VARIABLE: equipment located on sites
CONDITION: shall be protected
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SKA electronics and connectors in areas with a higher air flow (for cooling) or outdoor environment shall be additionally protected against corrosion
### Assistant:
CAUSE_1: SKA electronics
CAUSE_2: connectors in areas with a higher air flow (for cooling)
CAUSE_3: outdoor environment
AND: and
OR: or
EFFECT_1: shall be additionally protected against corrosion
CONDITION: shall be additionally protected against corrosion
VARIABLE: outdoor environment
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Materials used in the SKA1 design shall not have any lasting effect on the site location
### Assistant:
CAUSE_1: Materials used in the SKA1 design
EFFECT_1: shall not have any lasting effect on the site location
NEGATION: shall not
VARIABLE: Materials
CONDITION: have any lasting effect on the site location
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The field return rate of equipment shall be less than 0.5% (TBC) during installation and the first year full usage
### Assistant:
CAUSE_1: installation
CAUSE_2: the first year full usage
AND: and
KEYWORD: during
EFFECT_1: The field return rate of equipment shall be less than 0.5%
VARIABLE: the first year full usage
CONDITION: shall be less than 0.5%
NOT_RELEVANT: (TBC)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
These requirements are intended to be general, but where specific, reference will be made to Interface Control Documents (ICDs)
### Assistant:
EFFECT_1: These requirements are intended to be general
CAUSE_1: specific
EFFECT_2: reference will be made to Interface Control Documents (ICDs)
KEYWORD: but where
VARIABLE: reference
CONDITION: will be made to Interface Control Documents (ICDs)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Element or Module provider will be allowed to propose alternate requirements within documents that they consider to meet or exceed the intent of the Type 2 designation to the Program Manager
### Assistant:
CAUSE_2: exceed the intent of the Type 2 designation to the Program Manager
CAUSE_1: they consider to meet
OR: or
EFFECT_1: The Element
EFFECT_2: Module provider will be allowed to propose alternate requirements within documents
KEYWORD: that
VARIABLE: they
CONDITION: exceed the intent of the Type 2 designation to the Program Manager
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Any ‘Applicable’ document listed in a Type 2 document is also considered to be Type 2 unless specified otherwise
### Assistant:
EFFECT_1: is also considered to be Type 2
CAUSE_2: specified otherwise
NEGATION: unless
VARIABLE: ‘Applicable’ document
CONDITION: specified otherwise
KEYWORD: Any
CAUSE_1: ‘Applicable’ document listed in a Type 2 document
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In the event of a conflict between the text of this specification and the references cited herein, the text of this specification takes precedence
### Assistant:
CAUSE_1: a conflict between the text of this specification and the references cited herein
EFFECT_1: the text of this specification takes precedence
KEYWORD: In the event of
VARIABLE: the text of this specification
CONDITION: takes precedence
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Nothing in this specification, however, supersedes applicable laws and regulations unless a specific exemption has been obtained
### Assistant:
CAUSE_1: a specific exemption has been obtained
EFFECT_1: supersedes applicable laws
NEGATION: unless
NOT_RELEVANT: however
VARIABLE: a specific exemption
CONDITION: has been obtained
AND: and
EFFECT_2: regulations
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Allocations of the habitability functions between the pressurized volumes will be adjusted as the architecture matures
### Assistant:
CAUSE_1: the architecture matures
EFFECT_1: Allocations of the habitability functions between the pressurized volumes will be adjusted
KEYWORD: as
VARIABLE: the architecture
CONDITION: matures
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Formal Human Rating certification will be obtained for each integrated architecture/mission (including Gateway Modules and the docked crewed vehicle) prior to each crewed flight
### Assistant:
VARIABLE: each crewed flight
CONDITION: integrated
KEYWORD: for each
NOT_RELEVANT: (including Gateway Modules and the docked crewed vehicle)
NEGATION: prior to
EFFECT_1: Formal Human Rating certification will be obtained
CAUSE_1: integrated architecture/mission
CAUSE_2: prior to each crewed flight
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Radiators are most effective in rejecting heat when pointed towards deep space because they are not subjected to the heat radiated from the Moon or Earth
### Assistant:
VARIABLE: they
CONDITION: Earth
KEYWORD: because
NEGATION: are not
OR: or
EFFECT_1: Radiators are most effective in rejecting heat
CAUSE_1: pointed towards deep space
CAUSE_2: they are not subjected to the heat radiated from the Moon
CAUSE_3: Earth
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The need for secondary structure should be minimized in order to reduce element mass
### Assistant:
VARIABLE: element mass
CONDITION: to reduce
KEYWORD: in order
EFFECT_1: to reduce element mass
CAUSE_1: The need for secondary structure should be minimized
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
During radiation events, if thresholds are reached, crewmembers would seek shelter in higher shielded locations of Gateway in order to minimize exposure
### Assistant:
KEYWORD: in order
VARIABLE: exposure
CONDITION: to minimize
CAUSE_1: radiation events
CAUSE_2: thresholds are reached
CAUSE_3: crewmembers would seek shelter in higher shielded locations of Gateway
EFFECT_1: to minimize exposure
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the Provider has performed satisfactorily over the accreditation period their accreditation is likely to be reviewed with minimum examination
### Assistant:
CAUSE_1: the Provider has performed satisfactorily over the accreditation period
KEYWORD: If
EFFECT_1: their accreditation is likely to be reviewed with minimum examination
VARIABLE: their accreditation
CONDITION: is likely to be reviewed with minimum examination
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Where this cannot be arranged the level of accreditation, subject to satisfactory verification of procedures and processes, will reduce to ‘Partial’
### Assistant:
VARIABLE: the level of accreditation
CAUSE_1: this cannot be arranged
EFFECT_1: will reduce to ‘Partial’
KEYWORD: Where
NEGATION: cannot
CONDITION: will reduce to ‘Partial’
NOT_RELEVANT: subject to satisfactory verification of procedures and processes
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the Provider does not put in place adequate accreditation renewal arrangements, or allow adequate time for the required renewal assessment to take place, the accreditation will be terminated
### Assistant:
CAUSE_1: the Provider does not put in place adequate accreditation renewal arrangements
OR: or
CAUSE_2: allow adequate time for the required renewal assessment to take place
EFFECT_1: the accreditation will be terminated
KEYWORD: If
VARIABLE: the accreditation
NEGATION: does not
CONDITION: will be terminated
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Where scopes are not witnessed during the re-accreditation, or there is not adequate evidence to support the award of ‘Full’ accreditation, these scopes may only be awarded ‘Partial’ status
### Assistant:
CAUSE_1: scopes are not witnessed
OR: or
CAUSE_3: there is not adequate evidence to support the award of ‘Full’ accreditation
EFFECT_1: these scopes may only be awarded ‘Partial’ status
KEYWORD: during
VARIABLE: the re-accreditation
NEGATION: is not
CONDITION: may only be awarded ‘Partial’ status
CAUSE_2: the re-accreditation
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After this period of time the Accreditation Body will issue a report concluding the accreditation
### Assistant:
EFFECT_1: the Accreditation Body will issue a report concluding the accreditation
VARIABLE: the Accreditation Body
KEYWORD: After
CAUSE_1: this period of time
CONDITION: will issue a report concluding the accreditation
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The accreditation body will notify all adopting utility companies when action is taken to amend, suspend or terminate the accreditation of a Provider
### Assistant:
EFFECT_1: The accreditation body will notify all adopting utility companies
CAUSE_1: action is taken to amend
CAUSE_2: suspend
CAUSE_3: terminate the accreditation of a Provider
OR: or
KEYWORD: when
VARIABLE: action
CONDITION: terminate the accreditation of a Provider
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
On gaining accreditation Providers will be issued with the NERS Scheme Registration Mark (which incorporates the LR Approval Mark)
### Assistant:
CAUSE_1: gaining accreditation
KEYWORD: Providers
EFFECT_1: Providers will be issued with the NERS Scheme Registration Mark
CONDITION: gaining
NOT_RELEVANT: (which incorporates the LR Approval Mark)
VARIABLE: accreditation
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Correct use of a NERS Mark is a contractual obligation and a NERS accreditation certificate can be withdrawn if a Provider misuses a NERS Scheme Mark and continues to do this after attention has been drawn to the misuse
### Assistant:
CAUSE_1: a Provider misuses a NERS Scheme Mark
CAUSE_2: continues to do this after attention has been drawn to the misuse
AND: and
EFFECT_1: a NERS accreditation certificate can be withdrawn
NOT_RELEVANT: Correct use of a NERS Mark is a contractual obligation and
VARIABLE: a Provider
CONDITION: continues to do this after attention has been drawn to the misuse
KEYWORD: if
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Also, if NERS accreditation is withdrawn from a Provider they must stop using the NERS Scheme Mark and, where necessary, withdraw any material carrying the Mark
### Assistant:
NOT_RELEVANT: where necessary
CAUSE_1: NERS accreditation is withdrawn from a Provider
KEYWORD: if
EFFECT_1: they must stop using the NERS Scheme Mark
EFFECT_2: withdraw any material
AND: and
VARIABLE: they
CONDITION: carrying the Mark
CAUSE_2: carrying the Mark
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Assessment for accreditation under the 2nd tier scheme only covers those areas relevant to the work being undertaken and takes into consideration the supervisory responsibilities of the NERS accredited Provider
### Assistant:
EFFECT_1: covers
CAUSE_1: areas relevant to the work being undertaken
CAUSE_2: takes into consideration the supervisory responsibilities of the NERS accredited Provider
AND: and
VARIABLE: areas
CONDITION: takes into consideration the supervisory responsibilities of the NERS accredited Provider
KEYWORD: those
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Providers shall have a procedure in place to ensure that all tools, equipment, lifting tackle etc is tested / calibrated as required
### Assistant:
KEYWORD: to ensure that
EFFECT_1: all tools
CAUSE_1: Providers shall have a procedure in place
EFFECT_2: equipment
EFFECT_3: lifting tackle etc is tested / calibrated as required
VARIABLE: lifting tackle etc
CONDITION: is tested / calibrated as required
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
There is not normally a requirement for Providers who simply introduce contractors to the client and where the construction Provider does the entire liaison with the host utility and the on-site liaison with the client to be accredited as project managers
### Assistant:
EFFECT_1: There is not normally a requirement
KEYWORD: who
CAUSE_1: simply introduce contractors to the client
AND: and
CAUSE_2: the construction Provider does the entire liaison with the host utility
CAUSE_3: the on-site liaison with the client to be accredited as project managers
VARIABLE: the construction Provider
NEGATION: is not
CONDITION: the on-site liaison with the client to be accredited as project managers
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
An assessment file should be compiled for each candidate providing background supporting evidence towards the competence required (i.e. previous authorities held, employment history, training details, experience and skills tests undertaken)
### Assistant:
CAUSE_1: each candidate providing background supporting evidence towards the competence required
EFFECT_1: An assessment file should be compiled
KEYWORD: for
NOT_RELEVANT: (i.e. previous authorities held, employment history, training details, experience and skills tests undertaken)
VARIABLE: each candidate
CONDITION: providing background supporting evidence towards the competence required
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Assessing Officer may accept documented assessments of practical skills tests provided they are/were undertaken by a recognised training institution/facility
### Assistant:
KEYWORD: provided
CAUSE_1: they are/were undertaken by a recognised training institution/facility
EFFECT_1: The Assessing Officer may accept documented assessments of practical skills tests
VARIABLE: The Assessing Officer
CONDITION: may accept documented assessments of practical skills tests
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
That assessment, if satisfactory, shall be given authority by the Provider’s Authorising Officer
### Assistant:
CAUSE_1: satisfactory
KEYWORD: if
EFFECT_1: shall be given authority by the Provider’s Authorising Officer
VARIABLE: That assessment
CONDITION: shall be given authority by the Provider’s Authorising Officer
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
As the holder of this authority I understand and accept my responsibilities associated with the duties detailed above
### Assistant:
CAUSE_1: the holder of this authority
KEYWORD: As
EFFECT_1: I understand
AND: and
EFFECT_2: accept my responsibilities associated with the duties detailed above
VARIABLE: I
CONDITION: accept my responsibilities associated with the duties detailed above
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Ensure that where training under personal supervision is undertaken the minimum requirements in terms of duration, level of responsibility and limit of work activities are clearly defined
### Assistant:
CAUSE_1: training under personal supervision is undertaken
EFFECT_1: the minimum requirements in terms of duration
EFFECT_2: level of responsibility
EFFECT_3: limit of work activities are clearly defined
AND: and
KEYWORD: where
NOT_RELEVANT: Ensure that
VARIABLE: limit of work activities
CONDITION: are clearly defined
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Providers with partial accreditation can tender and obtain work for the scopes they hold
### Assistant:
CAUSE_1: Providers with partial accreditation
EFFECT_1: can tender
EFFECT_2: obtain work
AND: and
VARIABLE: the scopes
CONDITION: they hold
KEYWORD: for
CAUSE_2: the scopes they hold
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Full Accreditation is granted to Providers who have successfully demonstrated that they have adequately met the schemes requirements with respect to the construction of adoptable assets
### Assistant:
CAUSE_1: they have adequately met the schemes requirements with respect to the construction of adoptable assets
EFFECT_1: Full Accreditation is granted to Providers
KEYWORD: who
NOT_RELEVANT: have successfully demonstrated that
VARIABLE: they
CONDITION: have adequately met the schemes requirements with respect to the construction of adoptable assets
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If a Provider’s has Project Management for a construction scope PM will appear after the voltage in the scope description i.e. Jointing (HV-PM)
### Assistant:
CAUSE_1: a Provider’s has Project Management for a construction scope
EFFECT_1: PM will appear after the voltage in the scope description
NOT_RELEVANT: i.e. Jointing (HV-PM)
KEYWORD: If
VARIABLE: PM
CONDITION: will appear after the voltage in the scope description
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Granted when the first site works have been witnessed successfully
### Assistant:
CAUSE_1: the first site works have been witnessed successfully
EFFECT_1: Granted
KEYWORD: when
CONDITION: have been witnessed successfully
VARIABLE: the first site works
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It is also applicable to NERS Providers who hold at least one construction scope and wish to sub-contract out work covered by other scopes that they do not have
### Assistant:
EFFECT_1: It is also applicable to NERS Providers
KEYWORD: that
CAUSE_1: hold at least one construction scope
CAUSE_2: wish to sub-contract out work covered by other scopes
CONDITION: have
AND: and
VARIABLE: they
NEGATION: do not
CAUSE_3: they do not have
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In this situation they must utilise an appropriately accredited NERS Providers
### Assistant:
CAUSE_1: this situation
KEYWORD: In
EFFECT_1: they must utilise an appropriately accredited NERS Providers
VARIABLE: they
CONDITION: must utilise an appropriately accredited NERS Providers
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Live jointing only allows jointing onto the main installed by the NERS Provider
### Assistant:
EFFECT_1: allows jointing onto the main installed by the NERS Provider
CAUSE_1: Live jointing
VARIABLE: jointing onto the main installed by the NERS Provider
CONDITION: allows
KEYWORD: only
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The administrator can, for instance, verify restaurant owners and manage user information
### Assistant:
CAUSE_1: The administrator
EFFECT_1: verify restaurant owners
NOT_RELEVANT: for instance
AND: and
EFFECT_2: manage user information
VARIABLE: The administrator
CONDITION: manage user information
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Furthermore, the software needs both Internet and GPS connection to fetch and display results
### Assistant:
CAUSE_1: the software needs both Internet
CAUSE_2: GPS connection
AND: and
EFFECT_2: display results
EFFECT_1: to fetch
NOT_RELEVANT: Furthermore
VARIABLE: results
CONDITION: to fetch
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
By using the GPS-Navigator, users can view desired restaurants on a map and be navigated to them
### Assistant:
CAUSE_1: using the GPS-Navigator
EFFECT_1: users can view desired restaurants on a map
AND: and
EFFECT_2: be navigated to them
VARIABLE: users
CONDITION: using
KEYWORD: By
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Different specification techniques are used in order to specify the requirements more precisely for different audiences
### Assistant:
EFFECT_1: to specify the requirements more precisely for different audiences
CAUSE_1: Different specification techniques are used
KEYWORD: in order
VARIABLE: the requirements
CONDITION: more precisely for different audiences
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The mobile application will be used to find restaurants and view information about them while the web portal will be used for system as a whole
### Assistant:
CAUSE_1: The mobile application
EFFECT_1: will be used to find restaurants
EFFECT_2: view information about them
CAUSE_2: the web portal
EFFECT_3: will be used for system as a whole
NOT_RELEVANT: while
AND: and
VARIABLE: the web portal
CONDITION: will be used for system as a whole
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
To avoid problems with overloading the operating system the application is only allowed to use 20 megabytes of memory while running the application
### Assistant:
EFFECT_1: To avoid problems with overloading the operating system
CAUSE_1: the application is only allowed to use 20 megabytes of memory
VARIABLE: the application
CONDITION: running
KEYWORD: while
CAUSE_2: running the application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The result of the search will be viewed either in a list view or in a map view, depending on what criteria included in the search
### Assistant:
CAUSE_1: what criteria included in the search
EFFECT_1: The result of the search will be viewed either in a list view
KEYWORD: depending on
VARIABLE: The result of the search
CONDITION: in a map view
OR: or
EFFECT_2: in a map view
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The web portal will provide functionality to manage the system and the restaurant information
### Assistant:
CAUSE_1: The web portal will provide functionality
EFFECT_1: to manage the system
EFFECT_2: the restaurant information
AND: and
VARIABLE: the restaurant information
CONDITION: to manage
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
They are managing the overall system so there is no incorrect information within it
### Assistant:
EFFECT_1: there is no incorrect information within it
CAUSE_1: They are managing the overall system
KEYWORD: so
NEGATION: is no
VARIABLE: They
CONDITION: are managing the overall system
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Since there are multiple system and multiple GPS manufacturers, the interface will most likely not be the same for every one of them
### Assistant:
CAUSE_1: there are multiple system
CAUSE_2: multiple GPS manufacturers
EFFECT_1: the interface will most likely not be the same for every one of them
KEYWORD: Since
AND: and
VARIABLE: the interface
CONDITION: be the same for every one of them
NEGATION: not
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Since the application fetches data from the database over the Internet, it is crucial that there is an Internet connection for the application to function
### Assistant:
CAUSE_1: the application fetches data from the database over the Internet
EFFECT_1: there is an Internet connection for the application to function
KEYWORD: Since
VARIABLE: there
CONDITION: is an Internet connection for the application to function
NOT_RELEVANT: it is crucial that
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Since the database is shared between both application it may be forced to queue incoming requests and therefor increase the time it takes to fetch data
### Assistant:
CAUSE_1: the database is shared between both application
EFFECT_1: it may be forced to queue incoming requests
EFFECT_2: increase the time it takes to fetch data
AND: and
KEYWORD: therefor
VARIABLE: it
CONDITION: increase the time it takes to fetch data
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the phone does not have enough hardware resources available for the application, for example the users might have allocated them with other applications, there may be scenarios where the application does not work as intended or even at all
### Assistant:
NOT_RELEVANT: for example the users might have allocated them with other applications
KEYWORD: where
CAUSE_1: the phone does not have enough hardware resources available for the application
EFFECT_1: there may be scenarios
EFFECT_3: even at all
OR: or
VARIABLE: the application
NEGATION: does not
CONDITION: may be scenarios
EFFECT_2: the application does not work as intended
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In the case that the project is delayed, there are some requirements that could be transferred to the next version of the application
### Assistant:
CAUSE_1: the project is delayed
EFFECT_1: there are some requirements that could be transferred to the next version of the application
KEYWORD: In the case that
VARIABLE: there
CONDITION: are some requirements that could be transferred to the next version of the application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
A first-time user of the mobile application should see the log-in page when he/she opens the application, see Figure 2
### Assistant:
CAUSE_1: he/she opens the application
NOT_RELEVANT: see Figure 2
EFFECT_1: A first-time user of the mobile application should see the log-in page
KEYWORD: when
VARIABLE: he/she
CONDITION: opens the application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the user has not registered, he/she should be able to do that on the log-in page
### Assistant:
CAUSE_1: the user has not registered
EFFECT_1: he/she should be able to do that on the log-in page
KEYWORD: If
NEGATION: has not
CONDITION: should be able to do that on the log-in page
VARIABLE: he/she
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Every user should have a profile page where they can edit their e-mail address, phone number and password, see Figure 4
### Assistant:
CAUSE_1: Every user should have a profile page
EFFECT_1: they can edit their e-mail address
EFFECT_2: phone number
EFFECT_3: password
NOT_RELEVANT: see Figure 4
AND: and
KEYWORD: where
VARIABLE: they
CONDITION: password
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When a user searches by price, this view should be the default one
### Assistant:
CAUSE_1: a user searches by price
EFFECT_1: this view should be the default one
KEYWORD: When
VARIABLE: this view
CONDITION: should be the default one
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
A restaurant owner should be able to register on the web-portal in order to log in and manage the restaurant information
### Assistant:
CAUSE_1: A restaurant owner should be able to register on the web-portal
EFFECT_1: to log in
AND: and
CONDITION: to log in
KEYWORD: in order
VARIABLE: A restaurant owner
EFFECT_2: manage the restaurant information
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Since neither the mobile application nor the web portal have any designated hardware, it does not have any direct hardware interfaces
### Assistant:
CAUSE_1: neither the mobile application
EFFECT_1: it does not have any direct hardware interfaces
NEGATION: neither
KEYWORD: it
CONDITION: have any designated hardware
VARIABLE: the web portal
CAUSE_2: nor the web portal have any designated hardware
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The communication between the different parts of the system is important since they depend on each other
### Assistant:
CAUSE_1: they depend on each other
EFFECT_1: The communication between the different parts of the system is important
KEYWORD: since
VARIABLE: they
CONDITION: depend on each other
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: When a new/updated version or release of the software is released, the user should check for these manually
### Assistant:
NOT_RELEVANT: DESC:
CAUSE_1: a new/updated version
CAUSE_2: release of the software is released
EFFECT_1: the user should check for these manually
OR: or
KEYWORD: When
VARIABLE: the user
CONDITION: should check for these manually
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Given that a user has downloaded the mobile application, then the user should be able to register through the mobile application
### Assistant:
NOT_RELEVANT: DESC:
CAUSE_1: a user has downloaded the mobile application
KEYWORD: then
EFFECT_1: the user should be able to register through the mobile application
VARIABLE: the user
CONDITION: should be able to register through the mobile application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Given that a user has registered, then the user should be able to log in to the mobile application
### Assistant:
NOT_RELEVANT: DESC:
CAUSE_1: a user has registered
EFFECT_1: the user should be able to log in to the mobile application
KEYWORD: Given that
VARIABLE: the user
CONDITION: should be able to log in to the mobile application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Given that a user has registered, then the user should be able to retrieve his/her password by e- mail
### Assistant:
NOT_RELEVANT: DESC:
CAUSE_1: a user has registered
EFFECT_1: the user should be able to retrieve his/her password by e- mail
KEYWORD: then
VARIABLE: the user
CONDITION: should be able to retrieve his/her password by e- mail
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Given that a user is logged in to the mobile application, then the first page that is shown should be the search page
### Assistant:
NOT_RELEVANT: DESC:
KEYWORD: then
CAUSE_1: a user is logged in to the mobile application
EFFECT_1: the first page that is shown should be the search page
VARIABLE: the first page that is shown
CONDITION: should be the search page
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When a selection is made, the location of the restaurant should be sent to the mobile phone’s GPS-navigation program
### Assistant:
CAUSE_1: a selection is made
EFFECT_1: the location of the restaurant should be sent to the mobile phone’s GPS-navigation program
KEYWORD: When
VARIABLE: the location of the restaurant
CONDITION: should be sent to the mobile phone’s GPS-navigation program
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When the destination is reached, a user should be able to go back to the search page on the mobile application
### Assistant:
CAUSE_1: the destination is reached
EFFECT_1: a user should be able to go back to the search page on the mobile application
KEYWORD: When
VARIABLE: a user
CONDITION: should be able to go back to the search page on the mobile application
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: Integers should be accepted as input when a user searches by price or destination
### Assistant:
NOT_RELEVANT: DESC
EFFECT_1: Integers should be accepted as input
CAUSE_1: a user searches by price
CAUSE_2: destination
CONDITION: should be accepted as inpu
VARIABLE: Integers
KEYWORD: when
OR: or
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the system receives an invalid input the user should be informed and prompted to insert an accepted input
### Assistant:
CAUSE_1: the system receives an invalid input
EFFECT_1: the user should be informed
EFFECT_2: prompted to insert an accepted input
AND: and
KEYWORD: If
VARIABLE: the user
CONDITION: prompted to insert an accepted input
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
DESC: If no match is found the user should be informed but kept on the search page in order to get the possibility to conduct a new search right away
### Assistant:
NOT_RELEVANT: DESC
KEYWORD: If
CAUSE_1: no match is found
EFFECT_1: the user should be informed
EFFECT_2: kept on the search page in order to get the possibility to conduct a new search right away
AND: but
NEGATION: no
VARIABLE: the user
CONDITION: kept on the search page in order to get the possibility to conduct a new search right away
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When sorting by price the results should be ordered from cheapest to most expensive
### Assistant:
CAUSE_1: sorting by price
EFFECT_1: the results should be ordered from cheapest to most expensive
KEYWORD: When
VARIABLE: the results
CONDITION: should be ordered from cheapest to most expensive
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When the sort button for a specific search option is clicked, then the order should be reversed and ordered in a descending matter
### Assistant:
CAUSE_1: the sort button for a specific search option is clicked
EFFECT_1: the order should be reversed
EFFECT_2: ordered in a descending matter
AND: and
KEYWORD: When
VARIABLE: the order
CONDITION: ordered in a descending matter
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
On the profile page a user can edit his/her information, which includes the password, e-mail address and phone number
### Assistant:
CAUSE_1: the profile page
EFFECT_1: a user can edit his/her information, which includes the password
EFFECT_2: e-mail address
EFFECT_3: phone number
VARIABLE: a user
CONDITION: phone number
AND: and
KEYWORD: On
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Selecting the information link should only take one click
### Assistant:
EFFECT_1: should only take one click
CAUSE_1: Selecting the information link
CONDITION: should only take one click
VARIABLE: the information link
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: If the system loses the connection to the Internet or to the GPS device or the system gets some strange input, the user should be informed
### Assistant:
NOT_RELEVANT: SCALE
CAUSE_1: the system loses the connection to the Internet
OR: or
CAUSE_2: to the GPS device
CAUSE_3: the system gets some strange input
EFFECT_1: the user should be informed
KEYWORD: If
VARIABLE: the user
CONDITION: should be informed
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The messages should be encrypted for log-in communications, so others cannot get user-name and password from those messages
### Assistant:
CAUSE_1: The messages should be encrypted for log-in communications
EFFECT_1: others cannot get user-name
EFFECT_2: password from those messages
AND: and
KEYWORD: so
VARIABLE: others
CONDITION: password from those messages
NEGATION: cannot
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: If a restaurant owner tries to log in to the web portal with a non-existing account then the restaurant owner should not be logged in
### Assistant:
NOT_RELEVANT: :
KEYWORD: then
CAUSE_1: be logged in
EFFECT_1: the restaurant owner should not be logged in
VARIABLE: account
CONDITION: non-existing
NEGATION: should not
AND: with
CAUSE_2: a non-existing account
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: If an admin tries to log in to the web portal with a non-existing account then the admin should not be logged in
### Assistant:
NOT_RELEVANT: SCALE
KEYWORD: then
CAUSE_1: an admin tries to log in to the web portal
EFFECT_1: the admin should not be logged in
VARIABLE: account
CONDITION: non-existing
NEGATION: should not
AND: with
CAUSE_2: a non-existing account
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The locking period should be half an hour, and during that period the log-in function is disabled
### Assistant:
EFFECT_1: the log-in function is disabled
NOT_RELEVANT: and
VARIABLE: that period
CONDITION: is disabled
KEYWORD: during
CAUSE_1: that period
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: An admin and IP address should not be able to log-in to the web portal for a certain time period after three times of failed log-in attempts
### Assistant:
NOT_RELEVANT: SCALE
EFFECT_1: An admin
EFFECT_2: IP address should not be able to log-in to the web portal for a certain time period
KEYWORD: after
CAUSE_1: three times of failed log-in attempts
VARIABLE: IP address
AND: and
NEGATION: should not
CONDITION: three times of
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SCALE: If a user wants to create an account and the desired user name is occupied, the user should be asked to choose a different user name
### Assistant:
NOT_RELEVANT: SCALE
CAUSE_1: a user wants to create an account
CAUSE_2: the desired user name is occupied
EFFECT_1: the user should be asked to choose a different user name
KEYWORD: If
AND: and
VARIABLE: the user
CONDITION: should be asked to choose a different user name
### END
|