File size: 1,799 Bytes
1b1b463 1544816 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | ---
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)
|