Upload UltraAtlas

README.md

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+---
+language:
+- en
+license: other
+task_categories:
+- question-answering
+- text-generation
+tags:
+- question-answering
+- text-generation
+- chat
+- instruction-tuning
+- non-synthetic
+- dl26
+size_categories:
+- 100K<n<1M
+---
+
+# UltraAtlas
+
+UltraAtlas is a high-quality English question-answering dataset prepared by **Dl26** for text-generation and chat-style model training.
+
+The dataset is converted from **SQuAD v2** into a consistent assistant format with `prompt`, `response`, and `messages` fields. It is intended for supervised fine-tuning of general assistant models that need strong question answering behavior.
+
+## Dataset Details
+
+| Property | Value |
+| --- | --- |
+| Dataset name | `UltraAtlas` |
+| Developer | Dl26 |
+| Source dataset | `rajpurkar/squad_v2` |
+| Rows | 130,319 |
+| Language | English |
+| Task | Question answering / text generation |
+| Format | Single-turn chat with user and assistant messages |
+| Synthetic data | No model-generated synthetic answers are added |
+
+## Fields
+
+| Field | Description |
+| --- | --- |
+| `id` | Stable row identifier for this converted dataset |
+| `source_dataset` | Upstream dataset identifier |
+| `source_id` | Upstream row or question identifier when available |
+| `task` | QA task family |
+| `prompt` | User-facing instruction/question text |
+| `response` | Ground-truth answer text |
+| `messages` | Chat-format list with `user` and `assistant` turns |
+| `quality_source` | Short provenance note |
+
+## Example
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Dl26/UltraAtlas", split="train")
+print(dataset[0]["messages"])
+```
+
+## Intended Use
+
+UltraAtlas is intended for:
+
+* supervised fine-tuning of text-generation models
+* question-answering behavior training
+* single-turn assistant training
+* retrieval and answer-grounding experiments
+* general English QA evaluation and data mixing
+
+## Source and Licensing
+
+This dataset is a format conversion of `rajpurkar/squad_v2`. The conversion keeps source provenance fields so users can inspect origin and terms. Upstream dataset licenses and terms still apply.

data/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:54426d58e4dbf811f0aade6d396f3665cac127860bdb9ab20d50de50e3b35fde
+size 43854854

dataset_info.json

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+{
+  "name": "UltraAtlas",
+  "rows": 130319,
+  "features": [
+    "id",
+    "source_dataset",
+    "source_id",
+    "task",
+    "prompt",
+    "response",
+    "messages",
+    "quality_source"
+  ],
+  "source_dataset": "rajpurkar/squad_v2",
+  "format": "prompt/response/messages"
+}