query-id stringclasses 49 values | corpus-id stringlengths 37 39 | score stringclasses 3 values |
|---|---|---|
1 | 197beaca-2019-04-18T11:28:59Z-00001-000 | 0 |
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1 | 4fb4627-2019-04-18T18:47:37Z-00003-000 | 1 |
1 | 6450f3a0-2019-04-18T14:55:08Z-00003-000 | 0 |
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1 | ff0947ec-2019-04-18T12:23:12Z-00000-000 | 2 |
1 | 91988e1b-2019-04-17T11:47:31Z-00014-000 | 0 |
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1 | caa63d4b-2019-04-18T12:31:31Z-00001-000 | 0 |
1 | 1b03f390-2019-04-18T18:42:36Z-00004-000 | 0 |
1 | 1b03f390-2019-04-18T18:42:36Z-00003-000 | 1 |
1 | a8936abe-2019-04-18T16:45:19Z-00003-000 | 0 |
1 | b0680508-2019-04-18T13:48:51Z-00002-000 | 2 |
1 | b0680508-2019-04-18T13:48:51Z-00004-000 | 0 |
1 | b8c1b53b-2019-04-18T15:14:54Z-00005-000 | 0 |
1 | d23aca82-2019-04-18T16:11:12Z-00003-000 | 0 |
1 | c065954f-2019-04-18T14:32:52Z-00003-000 | 2 |
1 | c065954f-2019-04-18T14:32:52Z-00005-000 | 0 |
1 | c065954f-2019-04-18T14:32:52Z-00000-000 | 2 |
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1 | c065954f-2019-04-18T14:32:52Z-00002-000 | 2 |
1 | c065954f-2019-04-18T14:32:52Z-00001-000 | 2 |
1 | e3f07189-2019-04-18T17:54:23Z-00007-000 | 0 |
1 | 1b03f390-2019-04-18T18:42:36Z-00007-000 | 1 |
1 | b8c1b53b-2019-04-18T15:14:54Z-00002-000 | 0 |
1 | 21dc5a14-2019-04-18T17:11:50Z-00003-000 | 0 |
2 | 68e62a4e-2019-04-18T13:14:27Z-00005-000 | 0 |
2 | 29cc3447-2019-04-18T16:26:48Z-00003-000 | 0 |
2 | 18710bc8-2019-04-18T16:37:00Z-00000-000 | 2 |
2 | 18710bc8-2019-04-18T16:37:00Z-00001-000 | 2 |
2 | 24b396e9-2019-04-15T20:22:53Z-00016-000 | 0 |
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2 | 8a21d08-2019-04-18T14:01:36Z-00007-000 | 1 |
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2 | b8deb31f-2019-04-18T19:58:34Z-00005-000 | 0 |
2 | b83fa829-2019-04-18T16:06:32Z-00000-000 | 2 |
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2 | a5dc84d2-2019-04-18T16:21:24Z-00005-000 | 0 |
2 | a33194f5-2019-04-18T18:29:39Z-00004-000 | 0 |
2 | e7eb3b95-2019-04-19T12:47:53Z-00004-000 | 0 |
2 | e7eb3b95-2019-04-19T12:47:53Z-00002-000 | 0 |
3 | 41e8d87f-2019-04-17T11:47:37Z-00035-000 | 0 |
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3 | 34a77a0a-2019-04-17T11:47:33Z-00016-000 | 0 |
3 | 68e62a4e-2019-04-18T13:14:27Z-00005-000 | 0 |
3 | 42b2be2d-2019-04-18T18:21:23Z-00003-000 | 0 |
3 | 9c855f56-2019-04-18T13:11:47Z-00002-000 | 0 |
3 | 920c32e3-2019-04-18T13:42:05Z-00002-000 | 0 |
3 | 89802f9e-2019-04-18T16:26:02Z-00005-000 | 0 |
3 | 88fca69b-2019-04-18T16:16:37Z-00001-000 | 0 |
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Dataset Summary
Touche2020-Fa is a Persian (Farsi) dataset designed for the Retrieval task, specifically focusing on argument retrieval. It is a translated version of the English dataset from the Touché 2020 shared task, included 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 (Argument Retrieval)
- Source: Translated from the English Touché 2020 dataset using Google Translate
- Part of FaMTEB: Yes — part of the BEIR-Fa collection
Supported Tasks and Leaderboards
This dataset is designed to test models' ability to retrieve relevant arguments that support or oppose a given claim. It emphasizes reasoning quality and argument relevance. Performance can be evaluated on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
- Translated from the Touché 2020 shared task dataset using the Google Translate API
- Focuses on arguments around controversial topics
Translation quality was validated by the FaMTEB team using:
- BM25 comparison between original and translated versions
- LLM-based evaluation (GEMBA-DA framework) for translation fidelity
Data Splits
As defined in the FaMTEB paper (Table 5):
- Train: 0 samples
- Dev: 0 samples
- Test: 383,477 samples
Approximate total dataset size: 385k examples (user-provided figure)
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