Update README.md

README.md

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   - split: dev
     path: data/dev-*
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+
+This monolingual (English) NLI dataset is designed for performing Zero-shot classification tasks, on NLI purposes, and is particularly Fact-Checking oriented.
+
+It contains:
+- 8 whole datasets in the training split (SNLI, MNLI, FEVER, QNLI, WNLI, SciTail, RTE, VitaminC);
+- 120 examples for the dev split:
+  - 60 from the Climate-FEVER dataset in order to test zero-shot knowledge inference in a specific domain;
+  - 60 from the ANLI training splits in order to test pure NLI skills of the model.
+- 2 whole datasets in the test split (3 training splits of the ANLI dataset and the whole Climate-FEVER dataset).
+
+Datasets references:
+- SNLI: https://huggingface.co/datasets/stanfordnlp/snli
+- ANLI: https://huggingface.co/datasets/facebook/anli
+- FEVER: https://huggingface.co/datasets/pietrolesci/nli_fever
+- MNLI: https://huggingface.co/datasets/nyu-mll/multi_nli
+- QNLI: https://huggingface.co/datasets/yangwang825/qnli
+- WNLI (augmented with GLUE): https://huggingface.co/datasets/gokuls/glue_augmented_wnli
+- SciTail: https://huggingface.co/datasets/allenai/scitail
+- RTE: https://huggingface.co/datasets/yangwang825/rte
+- Climate-FEVER: https://huggingface.co/datasets/Jasontth/climate_fever_plus
+- VitaminC: https://huggingface.co/datasets/tals/vitaminc