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README.md

@@ -43,13 +43,13 @@ Each example in the dataset contains the following fields:
 | Split | Number of Examples |
 | --- | ---: |
 | `train` | 100 000 |
-| `validation` | 20 000 |
+| `validation` | 20 100 |
 
 ## Sampling & Tokenization Strategy
 
 * **Sampling:** For each example, a span length $n$ is uniformly selected from {16, 32, 64, 128, 256, 512}. Anchor and positive spans are drawn from the same source document, while the negative span is drawn independently from a different document.
 * **Tokenization:** Spans are measured using token counts produced by [`FacebookAI/xlm-roberta-base`](https://huggingface.co/FacebookAI/xlm-roberta-base). Because subword tokenization is used, exact character and word lengths will vary across samples even for the same nominal length value.
-* **Filtering:** Negative examples are included only if its token-level Jaccard similarity with the anchor is below 0.2
+* **Filtering:** Negative examples are included only if its token-level Jaccard similarity with the anchor is below 0.2.
 
 ## Intended Use
 
@@ -81,4 +81,4 @@ Please refer to the original source repositories for detailed information regard
 
 ## Citation
 
-If you use this dataset in your work, please cite this repository along with the underlying source datasets.
+If you use this dataset in your work, please cite this repository along with the underlying source datasets.

train.jsonl.zst

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+size 60340037

validation.jsonl.zst

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