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README.md

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+# _JapaneseCode1
+
+This is an RTEB (Retrieval Text Embedding Benchmark) dataset.
+
+## Dataset Description
+RTEB dataset generated from RTEB_JapaneseCode1 with LLM-modified triplets
+
+## Dataset Statistics
+- Number of queries: 5
+- Number of documents: 5
+
+## Files
+- `corpus.jsonl`: Document corpus
+- `queries.jsonl`: Query texts
+- `relevance.jsonl`: Relevance judgments
+- `metadata.json`: Dataset metadata
+
+## Usage
+This dataset is part of the RTEB benchmark suite for evaluating text embedding models on retrieval tasks.

corpus.jsonl

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+{"id": "RTEB_JapaneseCode1_d_0", "text": "df.div(df.mean(axis=1), axis=0)"}
+{"id": "RTEB_JapaneseCode1_d_1", "text": "print(line.decode('utf-16-le').strip())"}
+{"id": "RTEB_JapaneseCode1_d_2", "text": "x.find('Greetings')"}
+{"id": "RTEB_JapaneseCode1_d_3", "text": "df['col'] = 'str' + df['col'].apply(str)"}
+{"id": "RTEB_JapaneseCode1_d_4", "text": "set(a).union(b)"}

metadata.json

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+{
+  "dataset_name": "RTEB_JapaneseCode1",
+  "num_queries": 5,
+  "num_documents": 5,
+  "description": "RTEB dataset generated from RTEB_JapaneseCode1 with LLM-modified triplets"
+}

queries.jsonl

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+{"id": "RTEB_JapaneseCode1_q_0", "text": "パンダシート\"df\"を行ごとに正常化する"}
+{"id": "RTEB_JapaneseCode1_q_1", "text": "utf-16-le\"形式のテキストファイルから印刷列\"行"}
+{"id": "RTEB_JapaneseCode1_q_2", "text": "Python でx でサブ文字列の位置を検索する"}
+{"id": "RTEB_JapaneseCode1_q_3", "text": "Python で,データフレーム \"df\" のコラム\"コラム\"の各データの初めに文字列\"str\"を添加する"}
+{"id": "RTEB_JapaneseCode1_q_4", "text": "Python の 2 つのリストを a と b で比較し, 返答マッチ"}

relevance.jsonl

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+{"RTEB_JapaneseCode1_q_0": {"RTEB_JapaneseCode1_d_0": 1}}
+{"RTEB_JapaneseCode1_q_1": {"RTEB_JapaneseCode1_d_1": 1}}
+{"RTEB_JapaneseCode1_q_2": {"RTEB_JapaneseCode1_d_2": 1}}
+{"RTEB_JapaneseCode1_q_3": {"RTEB_JapaneseCode1_d_3": 1}}
+{"RTEB_JapaneseCode1_q_4": {"RTEB_JapaneseCode1_d_4": 1}}