Upload lambda-chat dataset

README.md

@@ -1,3 +1,84 @@
 ---
-license: apache-2.0
+language:
+- ja
+pretty_name: lambda-chat
+license: other
+task_categories:
+- text-generation
+tags:
+- japanese
+- instruction-following
+- conversational
+- parquet
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "train/*.parquet"
+  - split: validation
+    path: "validation.parquet"
+  - split: test
+    path: "test.parquet"
 ---
+
+# lambda-chat
+
+lambda-chat is a Japanese instruction-following dataset for supervised fine-tuning of chat models. It combines openly available datasets into one consistent chat format for easier use.
+
+## Purpose
+
+The dataset is intended for training and evaluating Japanese chat and instruction-following models. Each example uses a list of messages with `role` and `content` fields.
+
+## Source Data
+
+The dataset contains data from the following sources. 
+
+- [APTO-001/ja-safety-sft-dataset](https://huggingface.co/datasets/APTO-001/ja-safety-sft-dataset)
+- [APTO-001/japanese-civil-law-llm-instruction-dataset](https://huggingface.co/datasets/APTO-001/japanese-civil-law-llm-instruction-dataset)
+- [APTO-001/instruction-following-dataset](https://huggingface.co/datasets/APTO-001/instruction-following-dataset)
+- [APTO-001/japanese-reasoning-dataset-sample](https://huggingface.co/datasets/APTO-001/japanese-reasoning-dataset-sample)
+- [APTO-001/japanese-style-contrast-dataset](https://huggingface.co/datasets/APTO-001/japanese-style-contrast-dataset)
+- [APTO-001/llm-safety-japanese-multiturn-dataset](https://huggingface.co/datasets/APTO-001/llm-safety-japanese-multiturn-dataset)
+- [megagonlabs/instruction_ja](https://huggingface.co/datasets/megagonlabs/instruction_ja)
+- [llm-jp/extraction-wiki-ja](https://huggingface.co/datasets/llm-jp/extraction-wiki-ja)
+- [llm-jp/llm-jp-instructions](https://huggingface.co/datasets/llm-jp/llm-jp-instructions)
+- [llm-jp/magpie-sft-v1.0](https://huggingface.co/datasets/llm-jp/magpie-sft-v1.0)
+- [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
+
+`llm-jp/llm-jp-instructions` and `APTO-001/ja-safety-sft-dataset` are published under `CC BY 4.0` license.
+
+## Data Processing
+
+The source data was deduplicated, normalized with NFKC, and filtered to remove code and LaTeX content. The examples were then randomly shuffled and split into train, validation, and test sets.
+
+## Dataset Size
+
+| Split | Rows |
+| --- | ---: |
+| train | 183,072 |
+| validation | 1,868 |
+| test | 1,868 |
+| total | 186,808 |
+
+The dataset contains about 50M assistant tokens measured by Gemma 4 12B tokenizer.
+
+## Columns
+
+| Column | Description |
+| --- | --- |
+| `id` | Unique identifier for the example. |
+| `messages` | Chat messages. Each message has `role` and `content`. |
+| `output_char` | Number of characters in all assistant responses. |
+| `output_token` | Number of tokens in all assistant responses. |
+| `dataset_name` | Source dataset name |
+
+## Example
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("KeisukeMiyamoto/lambda-chat")
+print(dataset["train"][0])
+```

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