| | --- |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: qrels/train.jsonl |
| | - split: test |
| | path: qrels/test.jsonl |
| | - config_name: corpus |
| | data_files: |
| | - split: corpus |
| | path: corpus.jsonl |
| | - config_name: queries |
| | data_files: |
| | - split: queries |
| | path: queries.jsonl |
| | --- |
| | ## Dataset Summary |
| |
|
| | **SciFact-Fa** is a Persian (Farsi) dataset designed for the **Retrieval** task, with a focus on **scientific fact verification**. It is a translated version of the original English **SciFact** dataset used in the **BEIR benchmark** and is part of the **FaMTEB** (Farsi Massive Text Embedding Benchmark) under the BEIR-Fa collection. |
| |
|
| | - **Language(s):** Persian (Farsi) |
| | - **Task(s):** Retrieval (Scientific Fact Verification, Evidence Retrieval) |
| | - **Source:** Translated from the English SciFact dataset using Google Translate |
| | - **Part of FaMTEB:** Yes — part of the BEIR-Fa collection |
| |
|
| | ## Supported Tasks and Leaderboards |
| |
|
| | This dataset evaluates models' ability to **retrieve supporting evidence** from scientific literature abstracts that either **support or refute** given scientific claims. Evaluation results can be compared on the **Persian MTEB Leaderboard** (filter by language: Persian). |
| |
|
| | ## Construction |
| |
|
| | - Translated from the **SciFact** dataset using the **Google Translate API** |
| | - The original dataset targets **scientific claim verification** and **evidence-based reasoning** |
| |
|
| | Translation quality was validated using: |
| |
|
| | - BM25 score comparisons |
| | - **LLM-based assessment (GEMBA-DA framework)** |
| |
|
| | ## Data Splits |
| |
|
| | As reported in the FaMTEB paper (Table 5): |
| |
|
| | - **Train:** 6,102 samples |
| | - **Dev:** 0 samples |
| | - **Test:** 5,522 samples |
| |
|
| | > Approximate total dataset size: **7.55k examples** (user-provided figure) |
| |
|
