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README.md ADDED
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+ ---
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+ language:
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+ - ja
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+ pretty_name: lambda-corpus
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+ license: other
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - japanese
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+ - pretraining
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+ - corpus
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+ - parquet
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+ size_categories:
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+ - 10M<n<100M
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: "data/train-*.parquet"
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+ - split: validation
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+ path: "data/validation.parquet"
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+ - split: test
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+ path: "data/test.parquet"
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+ ---
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+
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+ # lambda-corpus
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+
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+ lambda-corpus is a Japanese text corpus for language model pretraining. It combines openly available Japanese datasets into a consistent format and provides predefined train, validation, and test splits.
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+
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+ ## Purpose
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+
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+ The dataset is intended for pretraining of Japanese language models. It contains web documents, Wikipedia-derived text, academic grant records, and synthetic question-answer text.
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+
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+ ## Source Data
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+
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+ | Source | Rows | Tokens | License |
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+ | --- | ---: | ---: | --- |
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+ | [KeisukeMiyamoto/CleanedFineWeb2Edu-jp](https://huggingface.co/datasets/KeisukeMiyamoto/CleanedFineWeb2Edu-jp) | 11,772,204 | 7.61B | ODC-BY |
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+ | [hpprc/jawiki-bullet-points](https://huggingface.co/datasets/hpprc/jawiki-bullet-points) | 3,523,358 | 1.55B | CC BY-SA 4.0 |
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+ | [kanhatakeyama/CommonCrawl-RAG-QA-Calm3-22b-chat](https://huggingface.co/datasets/kanhatakeyama/CommonCrawl-RAG-QA-Calm3-22b-chat) | 2,525,793 | 1.04B | Other |
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+ | [hpprc/llmjp-kaken](https://huggingface.co/datasets/hpprc/llmjp-kaken) | 1,079,030 | 1.03B | CC BY 4.0 |
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+
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+ ## Dataset Size
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+
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+ | Split | Rows |
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+ | --- | ---: |
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+ | train | 18,522,556 |
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+ | validation | 189,174 |
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+ | test | 188,655 |
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+ | total | 18,900,385 |
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+
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+ The dataset contains approximately 11.23B tokens measured with the gemma 4 tokenizer.
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+
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+ ## Columns
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+
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+ | Column | Description |
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+ | --- | --- |
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+ | `id` | Identifier inherited from the source dataset |
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+ | `text` | Normalized document text |
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+ | `output_tokens` | Number of tokens in `text`, measured with the gemma 4 tokenizer |
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+ | `source` | Name of the source dataset |
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+
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+ ## Example
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("KeisukeMiyamoto/lambda-corpus")
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+ print(dataset["train"][0])
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+ ```
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