type stringlengths 8 17 | instruction stringlengths 1.17k 5k |
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amb_calendar.json | The **Calendar Shift** subtask requires you to **convert dates between different calendar systems and resolve ambiguities caused by calendar transitions**. This involves:
✅ **Identifying the original calendar system** (*Is the date in the Julian, Gregorian, Islamic, or Hebrew calendar?*)
✅ **Determining the equival... |
amb_inter.json | ### **Instructions for Step-by-Step Reasoning in Interpretation (Ambiguity Resolution) Tasks**
The **Interpretation (Ambiguity Resolution)** subtask requires you to **understand and resolve vague or ambiguous time-related expressions** based on context and common usage. This involves:
### **1. Identify the Ambiguou... |
amb_long.json | The **Long-Term Shift** subtask requires you to **adjust dates over extended periods (years, decades, centuries, millennia) and resolve ambiguities related to these shifts**. This involves:
### **1. Identify the Given Date and Shift Period**
- Extract the **starting date** and **the number of years to shift forwar... |
amb_mid.json | The **Mid-Term Shift** subtask requires you to **adjust dates over intermediate periods (months, weeks, days) while resolving ambiguities caused by variations in calendar structure**. This involves:
### **1. Identify the Reference Date and Shift Period**
- Extract the **starting date** and **the number of months, w... |
amb_short.json | The **Short-Term Shift** subtask requires you to **adjust times over brief periods (hours, minutes, seconds) while resolving ambiguities related to time formats, AM/PM shifts, and daylight saving time (DST) transitions**. This involves:
### **1. Identify the Reference Time and Shift Period**
- Extract the **startin... |
ari_12h.json | To accurately **add or subtract time** within the **12-hour AM/PM format**, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **crossing noon, midnight, and wrap-around cases**.
### **1. Identify the Given Information**
- Extract the **initial time** in **HH:M... |
ari_24h.json | To accurately **add or subtract time** within the **24-hour format**, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **crossing midnight, negative time shifts, and wrap-around cases**.
### **1. Identify the Given Information**
- Extract the **initial time**... |
ari_app.json | To accurately compute **real-world time-related problems**, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **time durations, AM/PM transitions, multi-step processes, and unit conversions**.
### **1. Identify the Given Information**
- Extract key details fro... |
ari_date.json | To accurately determine the **correct date** when shifting forward or backward by a specified number of days, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **month transitions, leap years, and year boundaries**.
### **1. Identify the Given Information**
- ... |
ari_month.json | To accurately determine the correct month when shifting forward or backward by a specified number of months, the LLM should follow a **structured step-by-step approach** that ensures precision, especially when handling **year transitions, leap years, and month length variations**.
### **1. Identify the Given Informatio... |
ari_time.json | ### **1. Identify the Given Information**
- Extract key values from the question:
- **Initial time or duration**
- **Operation type (addition, subtraction, conversion, comparison)**
- **Target time unit (e.g., hours, minutes, days, weeks, etc.)**
- If the time format includes **AM/PM**, note whether it uses a *... |
ari_timezone.json | To ensure accurate **time zone conversions**, you should **follow a structured step-by-step approach**. Below are the reasoning steps it should take for each type of conversion:
### **1. Identify the Given Information**
- Extract the **source time zone**, **target time zone**, and the **time to convert** from the que... |
ari_week_id.json | To accurately determine **week numbers**, an LLM should follow a **structured step-by-step approach** that ensures precision across different question types.
### **1. Identify the Given Information**
- Extract the **date**, **year**, and **month** from the question.
- Identify whether the task requires:
- **W... |
ari_year.json | To accurately determine the **correct year** when shifting forward or backward by a specified number of years, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **century transitions, leap years, and BC/AD shifts**.
### **1. Identify the Given Information**
- ... |
cau_cause.json | The **Cause** subtask of **Temporal Causality** evaluates the ability to **identify the reason or initiating factor behind an event in a time-sensitive scenario**. This requires:
### **1. Extract the Event That Needs a Cause**
- Identify the **main event** in the question.
- Determine what needs to be explained. ... |
cau_effect.json | The **Effect** subtask of **Temporal Causality** evaluates the ability to **determine the most plausible consequence or outcome of a given cause in a time-sensitive scenario**. This requires:
### **1. Identify the Given Cause in the Question**
- Extract the **main event or situation** that serves as the cause.
- ... |
dur_analog.json | This subtask requires you to infer the duration of one event by **drawing logical comparisons** to another event with a known duration. This involves:
### **1. Identify the Given Information**
- Extract the **two events or time spans** being compared.
- Determine **whether the relationship is proportional, hierar... |
dur_calc.json | To accurately compute **the length of time between two points or events**, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **time unit conversions, multi-step calculations, AM/PM transitions, and calendar date computations**.
### **1. Identify the Given Inform... |
dur_common.json | This subtask requires you to infer the typical duration of activities, processes, or events based on everyday experience, general knowledge, and societal norms. Unlike factual duration tasks, these questions often require:
### **1. Identify the Activity or Process Being Evaluated**
- Extract the **key event, action... |
dur_comp.json | To accurately **compare the durations of two events or time periods**, you should follow a **structured step-by-step approach** that ensures precision, especially when handling **different time units, real-world context, and ambiguous cases**.
### **1. Identify the Given Information**
- Extract the two events or du... |
dur_compstep.json | This subtask requires you to **integrate multiple pieces of information, perform calculations where necessary, and compare final durations** to determine which is longer. This requires handling:
✅ **Breaking down complex scenarios into smaller, comparable time segments**
✅ **Performing necessary arithmetic operatio... |
dur_fact.json | ### **1. Identify the Given Information**
- Determine the **event or time period** mentioned in the question.
- Extract the **start year and end year** (or other relevant time markers).
- Check if the duration is **explicitly stated** or needs to be **calculated**.
- **Example:**
- *How long did World War I... |
dur_read.json | The **Reading Comprehension (Duration)** subtask requires you to **extract, infer, and compare durations** from a given passage. This involves:
### **1. Identify the Given Information in the Passage**
- **Locate mentions of time, duration, start/end dates, and recurring events.**
- Identify **whether the duration... |
fre_app.json | The **Application (Frequency)** subtask requires you to **infer event frequencies, compute intervals, and adapt to real-world constraints** based on given scenarios. This involves:
### **1. Identify the Given Information**
- Extract the **event occurrence pattern** (e.g., every 6 hours, every 3 days).
- Determine... |
fre_calc.json | The **Computation (Frequency)** subtask requires you to **determine how often an event occurs within a given period**. This involves:
### **1. Identify the Given Information**
- Extract the **event's occurrence pattern** (e.g., every 2 days, every week, twice a month).
- Extract the **total time span** over which... |
fre_common.json | The **Commonsense (Frequency)** subtask requires you to reason about **how often events occur in everyday life** based on general knowledge and experience. This involves:
### **1. Identify the Event and Context**
- Extract the **main event** in the question.
- Determine whether it pertains to **human activities, ... |
fre_comp.json | The **Comparison (Frequency)** subtask requires you to **differentiate between event frequencies**, determine **which event occurs more often**, and **rank multiple events by frequency**. This involves:
### **1. Identify the Given Information**
- Extract the **frequency of each event** from the question.
- Determ... |
fre_fact.json | The **Facts (Frequency)** subtask requires you to recall well-documented periodic events, interpret their recurrence rate, and sometimes infer missing details based on related facts. This involves:
### **1. Identify the Given Information**
- Extract the **event being questioned** and determine whether the frequency... |
fre_read.json | The **Reading Comprehension (Frequency)** subtask requires you to **extract, infer, and interpret frequency-related information** from text passages. This involves:
### **1. Identify the Given Information in the Passage**
- **Locate mentions of time, frequency, or repetition.**
- Determine whether the frequency i... |
nli.json | ### **Instructions for Step-by-Step Reasoning in Natural Language Inference (Temporal Reasoning) Tasks**
The **Temporal NLI** task requires you to **determine whether a hypothesis logically follows from a given premise when temporal elements are involved**. You must classify the relationship as one of the following: ... |
ord_common.json | The **Commonsense (Ordering)** subtask requires you to **logically sequence everyday events** based on general knowledge and real-world experience. This involves:
### **1. Identify the Two or More Events and Their Nature**
- Extract the **key events** from the question.
- Determine whether the events relate to **... |
ord_fact.json | The **Facts (Ordering)** subtask requires you to **accurately sequence historical events in chronological order** based on factual knowledge. This involves:
### **1. Identify the Events and Their Historical Context**
- Extract the key **events** mentioned in the question.
- Determine whether the question asks for... |
rel.json | The **Relation** task requires you to **determine the temporal relationship between two events or between an event and a specific time**. This involves:
### **1. Identify the Events or Time Expressions in the Context**
- Locate the two **key entities** (events or time expressions).
- Check whether the entities ar... |
sto.json | The **Storytelling** task evaluates the ability to **predict the most appropriate ending for a story based on temporal reasoning**. This involves:
### **1. Identify the Sequence of Events in the Story**
- Extract the **main events** leading up to the missing ending.
- Determine the **order in which they occurred*... |
typ_common.json | The **Commonsense (Typical Time)** subtask requires you to **reason about the usual timing of events in daily life** based on general knowledge and experience. This involves:
### **1. Identify the Event and Context**
- Extract the **main event** from the question.
- Determine whether it pertains to **daily routin... |
typ_comp.json | The **Comparison (Typical Time)** subtask requires you to **determine which of two events typically occurs earlier or later in a sequence** based on general knowledge, daily routines, cultural norms, and natural patterns. This involves:
### **1. Identify the Two Events in the Question**
- Extract both **Event A** a... |
typ_fact.json | The **Facts (Typical Time)** subtask requires you to **identify the specific time or period when historical or well-documented events occurred**. This involves:
### **1. Identify the Event and Its Category**
- Extract the **main event** from the question.
- Determine whether the event falls into one of these cat... |
typ_read.json | The **Reading Comprehension (Typical Time)** subtask requires you to **extract, interpret, and infer time-related information** from a given passage. This involves:
### **1. Identify the Key Time-Related Information in the Passage**
- Locate **explicit time references** (years, months, centuries, specific dates). ... |
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