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  1. README.md +2 -2
README.md CHANGED
@@ -76,7 +76,7 @@ lang='ar' # or any of the 16 languages
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  miracl = datasets.load_dataset('miracl/miracl', lang, use_auth_token=True)
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  # training set:
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- for data in miracl['train']: # or 'dev'
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  query_id = data['query_id']
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  query = data['query']
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  positive_passages = data['positive_passages']
@@ -87,7 +87,7 @@ for data in miracl['train']: # or 'dev'
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  title = entry['title']
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  text = entry['text']
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  ```
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- The structure is the same for `train` and `dev` set.
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  Note that `negative_passages` are annotated by native speakers as well, instead of the non-positive passages from top-`k` retrieval results.
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  miracl = datasets.load_dataset('miracl/miracl', lang, use_auth_token=True)
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  # training set:
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+ for data in miracl['train']: # or 'dev', 'testA'
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  query_id = data['query_id']
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  query = data['query']
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  positive_passages = data['positive_passages']
 
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  title = entry['title']
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  text = entry['text']
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  ```
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+ The structure is the same for `train`, `dev`, and `testA` set, where `testA` only exists for languages in Mr. TyDi (i.e., Arabic, Bengali, English, Finnish, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, Thai).
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  Note that `negative_passages` are annotated by native speakers as well, instead of the non-positive passages from top-`k` retrieval results.
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