Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Sub-tasks:
dialogue-generation
Languages:
Galician
Size:
1K - 10K
License:
| language: | |
| - gl | |
| pretty_name: OASST2 Galician Subset | |
| task_categories: | |
| - text-generation | |
| task_ids: | |
| - dialogue-generation | |
| tags: | |
| - galician | |
| - instruction-tuning | |
| - chat | |
| - conversation | |
| - openassistant | |
| - translation | |
| license: apache-2.0 | |
| size_categories: | |
| - 1K<n<10K | |
| # OASST2 Galician Subset | |
| ## Dataset description | |
| This dataset is a Galician translation/adaptation of a subset of the [OASST2](OpenAssistant/oasst2) conversational dataset. It is intended for instruction tuning, dialogue modeling, and related experiments in Galician. | |
| This release contains 1,786 instances in JSONL format. It does not include the full original OASST2 dataset. The data preserves the original conversation-oriented structure, where messages are linked through tree and parent identifiers. | |
| ## Dataset structure | |
| The dataset is distributed in JSONL format. Each line contains one message node with the following fields: | |
| - `message_tree_id`: identifier of the conversation tree | |
| - `message_id`: identifier of the current message | |
| - `parent_id`: identifier of the parent message; empty for root messages | |
| - `lang`: language code | |
| - `role`: speaker role, typically `prompter` or `assistant` | |
| - `text`: message content in Galician | |
| ### Example | |
| ```json | |
| { | |
| "message_tree_id": "c55f670b-f384-48b0-ba71-e5a2b2c9137e", | |
| "message_id": "c55f670b-f384-48b0-ba71-e5a2b2c9137e", | |
| "parent_id": "", | |
| "lang": "gl", | |
| "role": "prompter", | |
| "text": "Crea un bloque de estatísticas para un poderoso monstro de tipo morto vivente en Dragóns e Alxubes quinta edición." | |
| } | |
| ``` | |
| ## Data source and creation | |
| This dataset is based on a subset of the original [OASST2](OpenAssistant/oasst2) dataset and was translated/adapted into Galician. It preserves the message-level conversational structure of the source data, including tree-level and parent-child relationships between turns. | |
| The main purpose of this version is to provide conversational and instruction-following data in Galician for experimentation, fine-tuning, and evaluation in low-resource settings. | |
| ## Intended uses | |
| This dataset can be used for: | |
| - conversational fine-tuning in Galician | |
| - dialogue generation | |
| - instruction tuning for chat-oriented models | |
| - multilingual or cross-lingual experiments | |
| - low-resource NLP research | |
| ## Limitations | |
| - This dataset is only a subset of the original OASST2 data. | |
| - Since this is a translated/adapted version, some examples may reflect translation choices, stylistic variation, or localized phrasing relative to the source dataset. | |
| - The dataset is structured at the message level, so conversation trees may need to be reconstructed programmatically for some use cases. | |
| - The quality of the data depends on the translation/adaptation process used. | |
| ## Licensing | |
| This dataset follows the same license as the original OASST2 dataset: Apache License 2.0. | |
| ## Usage | |
| Example with `datasets`: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("json", data_files="oasst2_gl_subset.jsonl") | |
| print(ds["train"][0]) | |
| ``` | |
| If you want to reconstruct conversations by tree: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("json", data_files="oasst2_gl_subset.jsonl")["train"] | |
| print(ds[0]["message_tree_id"], ds[0]["role"], ds[0]["text"]) | |
| ``` | |
| ## Acknowledgements | |
| This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA. (Esta publicación del proyecto Desarrollo de Modelos ALIA está financiada por el Ministerio para la Transformación Digital y de la Función Pública y por el Plan de Recuperación, Transformación y Resiliencia – Financiado por la Unión Europea – NextGenerationEU) | |