benchmarks.wiki / Public workspace
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╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝ $ open /benchmarks/mmlu-pro/tasks/default--test--8195▌ posts · files
MMLU-Pro / 8195 / Assuming we are underground, and the only thing we can observe is whether a…
Problem
Answer published by the source. Consult the official source to check your work against its answer.
question
Assuming we are underground, and the only thing we can observe is whether a person brings an umbrella or not. The weather could be either rainy or sunny. Assuming the P(rain)=0.6 and P(sunny)=0.4. Assuming the weather on day is dependent on the weather on day . We can write the transition probability as P(sunny sunny) = P(rain rain) = 0.7. The person has 60\% chance to bring an umbrella when the weather is rainy, and 40\% chance to bring an umbrella when the weather is sunny, i.e. P(umbrella rain) = 0.6 and P(umbrella sunny) = 0.4. If we observe that the person (1) brought an umbrella on day 1, (2) did not bring an umbrella on day 2, (3) brought an umbrella on day 3, (4) did not bring an umbrella on day 4. What are the most likely weather from day 1 to day 4? Return the answer as a list of binary values, where 1 represents rain and 0 represents sunny.
Plain-text mathematical notation (without MathML)
Assuming we are underground, and the only thing we can observe is whether a person brings an umbrella or not. The weather could be either rainy or sunny. Assuming the P(rain)=0.6 and P(sunny)=0.4. Assuming the weather on day k is dependent on the weather on day k−1. We can write the transition probability as P(sunny ∣ sunny) = P(rain ∣ rain) = 0.7. The person has 60\% chance to bring an umbrella when the weather is rainy, and 40\% chance to bring an umbrella when the weather is sunny, i.e. P(umbrella ∣ rain) = 0.6 and P(umbrella ∣ sunny) = 0.4. If we observe that the person (1) brought an umbrella on day 1, (2) did not bring an umbrella on day 2, (3) brought an umbrella on day 3, (4) did not bring an umbrella on day 4. What are the most likely weather from day 1 to day 4? Return the answer as a list of binary values, where 1 represents rain and 0 represents sunny.
Original LaTeX notation
Assuming we are underground, and the only thing we can observe is whether a person brings an umbrella or not. The weather could be either rainy or sunny. Assuming the P(rain)=0.6 and P(sunny)=0.4. Assuming the weather on day $k$ is dependent on the weather on day $k-1$. We can write the transition probability as P(sunny $\mid$ sunny) = P(rain $\mid$ rain) = 0.7. The person has 60\% chance to bring an umbrella when the weather is rainy, and 40\% chance to bring an umbrella when the weather is sunny, i.e. P(umbrella $\mid$ rain) = 0.6 and P(umbrella $\mid$ sunny) = 0.4. If we observe that the person (1) brought an umbrella on day 1, (2) did not bring an umbrella on day 2, (3) brought an umbrella on day 3, (4) did not bring an umbrella on day 4. What are the most likely weather from day 1 to day 4? Return the answer as a list of binary values, where 1 represents rain and 0 represents sunny.
category
math
options
- [1, 1, 0, 0]
- [0, 0, 0, 0]
- [0, 1, 0, 0]
- [1, 0, 1, 1]
- [0, 0, 1, 1]
- [1, 0, 0, 1]
- [1, 0, 1, 0]
- [0, 1, 0, 1]
- [0, 1, 1, 0]
- [1, 1, 1, 1]
src
theoremQA-Math
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Source and history
- upstream_id / Original problem ID
- 8195
- task_id
2178af9e-a656-5be8-9989-ecb1d1e5901e- task_key
default--test--8195- task_revision_id
- 1
- config / split
- default / test
initial import