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AReaL-boba-2-RL-Code

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There are three cards with letters $\texttt{a}$, $\texttt{b}$, $\texttt{c}$ placed in a row in some order. You can do the following operation at most once: - Pick two cards, and swap them. Is it possible that the row becomes $\texttt{abc}$ after the operation? Output "YES" if it is possible, and "NO" otherwise. Input The first line contains a single integer $t$ ($1 \leq t \leq 6$) — the number of test cases. The only line of each test case contains a single string consisting of each of the three characters $\texttt{a}$, $\texttt{b}$, and $\texttt{c}$ exactly once, representing the cards. Output For each test case, output "YES" if you can make the row $\texttt{abc}$ with at most one operation, or "NO" otherwise. You can output the answer in any case (for example, the strings "yEs", "yes", "Yes" and "YES" will be recognized as a positive answer).Sample Input 1: 6 abc acb bac bca cab cba Sample Output 1: YES YES YES NO NO YES Note In the first test case, we don't need to do any operations, since the row is already $\texttt{abc}$. In the second test case, we can swap $\texttt{c}$ and $\texttt{b}$: $\texttt{acb} \to \texttt{abc}$. In the third test case, we can swap $\texttt{b}$ and $\texttt{a}$: $\texttt{bac} \to \texttt{abc}$. In the fourth test case, it is impossible to make $\texttt{abc}$ using at most one operation.
{"inputs": ["6\nabc\nacb\nbac\nbca\ncab\ncba\n", "1\nabc\n", "3\nabc\nabc\nabc\n", "5\ncab\nacb\ncba\nbac\nbca\n", "6\nabc\nabc\nabc\nabc\nabc\nabc\n"], "outputs": ["YES\nYES\nYES\nNO\nNO\nYES\n", "YES\n", "YES\nYES\nYES\n", "NO\nYES\nYES\nYES\nNO\n", "YES\nYES\nYES\nYES\nYES\nYES\n"], "remote": false}
code
PYTHON
train_0
"Slavic is preparing a present for a friend's birthday. He has an array $a$ of $n$ digits and the pr(...TRUNCATED)
"{\"inputs\": [\"4\\n4\\n2 2 1 2\\n3\\n0 1 2\\n5\\n4 3 2 3 4\\n9\\n9 9 9 9 9 9 9 9 9\\n\", \"1\\n2\\(...TRUNCATED)
code
PYTHON
train_1
"You are given a strip of paper $s$ that is $n$ cells long. Each cell is either black or white. In a(...TRUNCATED)
"{\"inputs\": [\"8\\n6 3\\nWBWWWB\\n7 3\\nWWBWBWW\\n5 4\\nBWBWB\\n5 5\\nBBBBB\\n8 2\\nBWBWBBBB\\n10 (...TRUNCATED)
code
PYTHON
train_2
"You are given an array of integers $a_1, a_2, \\ldots, a_n$ and a number $k$ ($2 \\leq k \\leq 5$).(...TRUNCATED)
"{\"inputs\": [\"15\\n2 5\\n7 3\\n3 3\\n7 4 1\\n5 2\\n9 7 7 3 9\\n5 5\\n5 4 1 2 3\\n7 4\\n9 5 1 5 9 (...TRUNCATED)
code
PYTHON
train_3
"Vanya and Vova are playing a game. Players are given an integer $n$. On their turn, the player can (...TRUNCATED)
"{\"inputs\": [\"6\\n1\\n3\\n5\\n100\\n999\\n1000\\n\", \"1\\n2\\n\", \"1\\n994\\n\", \"1\\n12\\n\",(...TRUNCATED)
code
PYTHON
train_4
"Alex is participating in the filming of another video of BrMeast, and BrMeast asked Alex to prepare(...TRUNCATED)
"{\"inputs\": [\"5\\n2\\n1 2\\n6\\n10 2 3 6 1 3\\n4\\n1000000000 1000000000 1000000000 1000000000\\n(...TRUNCATED)
code
PYTHON
train_5
"A subarray is a continuous part of array.\n\nYarik recently found an array $a$ of $n$ elements and (...TRUNCATED)
"{\"inputs\": [\"7\\n5\\n1 2 3 4 5\\n4\\n9 9 8 8\\n6\\n-1 4 -1 0 5 -4\\n4\\n-1 2 4 -3\\n1\\n-1000\\n(...TRUNCATED)
code
PYTHON
train_6
"Yarik is a big fan of many kinds of music. But Yarik loves not only listening to music but also wri(...TRUNCATED)
"{\"inputs\": [\"5\\n1\\n2\\n4\\n3 1 3 2\\n2\\n1000 1000\\n3\\n1 1 1\\n19\\n2 4 1 6 2 8 5 4 2 10 5 1(...TRUNCATED)
code
PYTHON
train_7
"You are given a 0-indexed array of strings details. Each element of details provides information ab(...TRUNCATED)
"{\"inputs\": [\"[\\\"7868190130M7522\\\", \\\"5303914400F9211\\\", \\\"9273338290F4010\\\"]\", \"[\(...TRUNCATED)
code
PYTHON
train_8
"You are given a 0-indexed 2D integer array nums. Initially, your score is 0. Perform the following (...TRUNCATED)
"{\"inputs\": [\"[[7, 2, 1], [6, 4, 2], [6, 5, 3], [3, 2, 1]]\", \"[[1]]\", \"[[0], [10], [25], [2],(...TRUNCATED)
code
PYTHON
train_9
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AReaL-boba-2-RL-Code Dataset

This dataset contains the training and testing data used for reinforcement learning in the AReaL-boba-2 model on coding tasks.

Dataset Structure

  • train/: Contains the training data for RL fine-tuning.
  • code_benchmark/: Contains the evaluation benchmark, organized into multiple subfolders, each corresponding to a specific coding benchmark suite, Codeforces, Code Contests and LiveCodeBench (v5) are supported now.

How to Use

To train and evaluate models using this dataset with AReaL:

  1. Download the dataset from this page.
  2. Train the model by following the AReaL training guideline.
  3. Prepare the evaluation data:
    • Move each subfolder inside code_benchmark/ to the evaluation/data/ directory in the AReaL repository.
  4. Run evaluation according to the AReaL evaluation guideline.

License

Please refer to the LICENSE file associated with this dataset or contact the maintainers for more details.

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