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You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | on | {"source_dataset": "acre", "source_index": 0} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 1} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 2} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | on | {"source_dataset": "acre", "source_index": 3} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 4} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | undetermined | {"source_dataset": "acre", "source_index": 5} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 6} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | undetermined | {"source_dataset": "acre", "source_index": 7} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | undetermined | {"source_dataset": "acre", "source_index": 8} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 9} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 10} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 11} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 12} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 13} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 14} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | on | {"source_dataset": "acre", "source_index": 15} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | on | {"source_dataset": "acre", "source_index": 16} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | undetermined | {"source_dataset": "acre", "source_index": 17} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | off | {"source_dataset": "acre", "source_index": 18} | acre |
You are a researcher studying causal relationships using Blicket experiments. In these experiments, certain objects (called 'blickets') have the hidden property of activating a detector, causing its light to turn on.
Each example shows the results of placing different combinations of objects on the detector. Each obje... | undetermined | {"source_dataset": "acre", "source_index": 19} | acre |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [4, 95, 36, 32]
Output 1: [4, 32, 36, 95]
Input 2: [18... | [26, 72, 92] | {"source_dataset": "list_functions", "source_index": 0} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [37, 90, 98]
Output 1: [37, 90, 98]
Input 2: [60, 48, ... | [17, 99, 50, 77, 65, 35, 74, 24, 49, 9] | {"source_dataset": "list_functions", "source_index": 1} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [4, 29, 49, 15, 90, 23, 38, 5, 67, 5, 70]
Output 1: [2... | [4] | {"source_dataset": "list_functions", "source_index": 2} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [54, 63, 33, 11, 39, 44, 3]
Output 1: [14]
Input 2: [6... | [10] | {"source_dataset": "list_functions", "source_index": 3} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [52, 6, 76, 76]
Output 1: [53, 6, 76, 77]
Input 2: [82... | [69, 43, 92, 98, 12, 51, 92] | {"source_dataset": "list_functions", "source_index": 4} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [9, 56, 71, 59, 74, 44, 33, 66]
Output 1: [74, 71, 66,... | [98, 94, 74, 72, 31, 26, 17, 5] | {"source_dataset": "list_functions", "source_index": 5} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [25, 50, 100, 200, 400, 800, 1600, 3200]
Output 1: [64... | [21504] | {"source_dataset": "list_functions", "source_index": 6} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [45, 53, 15, 42]
Output 1: [15]
Input 2: [88, 6, 98]
O... | [13] | {"source_dataset": "list_functions", "source_index": 7} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [35, 47, 82, 32, 89, 61, 99, 43, 11, 5]
Output 1: [61]... | [44] | {"source_dataset": "list_functions", "source_index": 8} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [65, 71, 21, 32, 30, 71]
Output 1: [65, 71, 21, 32, 30... | [87, 23, 45, 79, 39, 48, 58, 98, 84, 25] | {"source_dataset": "list_functions", "source_index": 9} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [7, 93, 66, 62, 48, 53, 5]
Output 1: [12]
Input 2: [21... | [33] | {"source_dataset": "list_functions", "source_index": 10} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [59, 65, 92, 62, 92, 67]
Output 1: [6]
Input 2: [94, 5... | [8] | {"source_dataset": "list_functions", "source_index": 11} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [57, 72, 39, 62, 63]
Output 1: [57, 72, 39, 62, 63]
In... | [35, 70, 19, 13, 83, 34, 36, 57, 76] | {"source_dataset": "list_functions", "source_index": 12} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [26, 20, 95, 39]
Output 1: [46]
Input 2: [96, 24, 39, ... | [0] | {"source_dataset": "list_functions", "source_index": 13} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [61, 84, 67]
Output 1: [84, 67, 61]
Input 2: [99, 70, ... | [88, 50, 50, 20, 4] | {"source_dataset": "list_functions", "source_index": 14} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [48, 76, 78]
Output 1: [202]
Input 2: [29, 66, 42]
Out... | [231] | {"source_dataset": "list_functions", "source_index": 15} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [27, 95, 83, 26, 6, 25]
Output 1: [84]
Input 2: [52, 4... | [68] | {"source_dataset": "list_functions", "source_index": 16} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [11, 84, 59, 3, 18, 39]
Output 1: [3, 11, 18, 39, 59, ... | [12, 40, 41] | {"source_dataset": "list_functions", "source_index": 17} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [20, 30, 34, 37, 60, 62, 74]
Output 1: [1]
Input 2: [8... | [1] | {"source_dataset": "list_functions", "source_index": 18} | list_functions |
You are an expert at inductive reasoning. Generate an output corresponding to the given input.
The output is generated by applying the same rule that maps input to output for the examples provided. Your answer should be a list of element/elements
Examples:
Input 1: [24, 72, 28, 42, 38, 42, 89, 4, 63, 46]
Output 1: [24,... | [80, 48, 98, 81, 81, 23, 92, 79] | {"source_dataset": "list_functions", "source_index": 19} | list_functions |
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