Add VIMQA: Vietnamese multi-hop QA, default + gold_only configs

README.md

@@ -0,0 +1,139 @@
+---
+language:
+- vi
+license: cc-by-nc-sa-4.0
+size_categories:
+- 10K<n<100K
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+pretty_name: VIMQA
+tags:
+- multi-hop
+- vietnamese
+- explainable-qa
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+- config_name: gold_only
+  data_files:
+  - split: validation
+    path: gold_only/validation-*
+  - split: test
+    path: gold_only/test-*
+---
+
+# VIMQA
+
+VIMQA is a Vietnamese dataset for advanced reasoning and explainable multi-hop
+question answering. Each question requires combining facts from two different
+Vietnamese Wikipedia articles, and every example ships with sentence-level
+supporting facts so a model's reasoning chain can be evaluated, not just its
+final answer.
+
+The schema follows the [HotpotQA](https://huggingface.co/datasets/hotpotqa/hotpot_qa)
+convention, so tooling written for HotpotQA transfers with minimal changes.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Full distractor setting: 10 paragraphs per question, 2 of them gold.
+ds = load_dataset("nguyenlab/vimqa")
+
+# Gold-only setting: just the supporting paragraphs.
+gold = load_dataset("nguyenlab/vimqa", "gold_only")
+```
+
+## Configs and splits
+
+| Config | Split | Rows | Paragraphs per question |
+|---|---|---|---|
+| `default` | `train` | 8,041 | 10 |
+| `default` | `validation` | 1,003 | 10 |
+| `default` | `test` | 1,003 | 10 |
+| `gold_only` | `validation` | 1,003 | 1–2 |
+| `gold_only` | `test` | 1,003 | 1–2 |
+
+The `default` config is the distractor setting: each question comes with 10
+candidate paragraphs, of which only the supporting ones are relevant. The
+`gold_only` config contains the same questions with distractors removed, which
+is useful for isolating reading-comprehension ability from retrieval.
+
+## Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | `string` | Unique example identifier |
+| `question` | `string` | The Vietnamese question |
+| `answer` | `string` | The answer span, or a yes/no answer (`đúng` / `không`) |
+| `type` | `string` | Reasoning type of the question |
+| `context.title` | `list[string]` | Titles of the candidate paragraphs |
+| `context.sentences` | `list[list[string]]` | Each paragraph, split into sentences |
+| `supporting_facts.title` | `list[string]` | Titles of paragraphs containing supporting facts |
+| `supporting_facts.sent_id` | `list[int32]` | Index into that paragraph's `sentences` list |
+
+A supporting fact is the pair (`title`, `sent_id`): it points at one specific
+sentence inside one specific context paragraph.
+
+### Example
+
+```python
+{
+  "id": "aebce1bf-35a3-4e0c-85c1-e59b24dfb48b",
+  "question": "Diego Maradona nhỏ tuổi hơn Rutherford B. Hayes phải không?",
+  "answer": "đúng",
+  "type": "bridge",
+  "context": {
+    "title": ["PH", "Diego Maradona", "Rutherford B. Hayes", ...],
+    "sentences": [["Các dung dịch nước có giá trị pH nhỏ hơn 7 ..."], [...], [...]]
+  },
+  "supporting_facts": {
+    "title": ["Diego Maradona", "Rutherford B. Hayes"],
+    "sent_id": [0, 0]
+  }
+}
+```
+
+To recover the text of the supporting sentences:
+
+```python
+def supporting_sentences(example):
+    lookup = dict(zip(example["context"]["title"], example["context"]["sentences"]))
+    return [
+        lookup[title][sent_id]
+        for title, sent_id in zip(
+            example["supporting_facts"]["title"],
+            example["supporting_facts"]["sent_id"],
+        )
+    ]
+```
+
+## Source data
+
+Contexts are drawn from Vietnamese Wikipedia. Questions and supporting-fact
+annotations were written by human annotators.
+
+## Citation
+
+```bibtex
+@inproceedings{le-etal-2022-vimqa,
+    title = "{VIMQA}: A {V}ietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question Answering",
+    author = "Le, Khang and Nguyen, Hien and Le Thanh, Tung and Nguyen, Minh",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.700",
+    pages = "6521--6529",
+}
+```

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7073151393be3e468729bc59de1d4b5f40f337f6fdfc2826f5bb5130cd33b2df
+size 2828021

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7b7b7799179f6a63a54a50742c133fc6eb31982d5275b2283d065c0217f3582
+size 27682114

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:513691e3ef702f1ca9f7b9b944ed14751a5a0b71ed284f8bec48c8992fd1e709
+size 2820483

gold_only/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d96de2128d1fa4ab3de6a0ebe93d00f4d2bbe40263f8a9862051fbc790ff7f29
+size 609151

gold_only/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36bb01f12cd11f7f19aa47d6dd59cbacbc69939c7f87793f364264c5aa657da6
+size 598452