Update README.md

README.md

@@ -1,5 +1,68 @@
----
-license: other
-license_name: godlindia
-license_link: https://www.data.gov.in/Godl
----
+---
+---
+dataset_info:
+  features:
+    - name: text
+      dtype:
+        audio:
+          sampling_rate: 16000
+    - name: transcript
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 1737068408.853
+      num_examples: 2511
+    - name: validation
+      num_bytes: 227494239
+      num_examples: 398
+    - name: test
+      num_bytes: 561557744
+      num_examples: 946
+  download_size: 2513842695
+  dataset_size: 2526120391.8529997
+task_categories:
+  - text-generation
+language_creators:
+  - expert-generated
+multilinguality:
+  - multilingual
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train-*
+      - split: validation
+        path: data/validation-*
+      - split: test
+        path: data/test-*
+license: other
+license_name: godlindia
+license_link: https://www.data.gov.in/Godl
+size_categories:
+  - 1K<n<10K
+---
+
+# Dataset Card
+
+## Dataset Description
+
+This dataset contains parts of data from Kisan Call Center Transcripts. These are related to farmer transcripts/queries related to the wheat crop
+
+
+
+
+## Citation
+
+If you use this dataset, please cite the original FLEURS paper:
+
+```bibtex
+@article{fleurs2022arxiv,
+  title = {FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech},
+  author = {Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur},
+  journal = {arXiv preprint arXiv:2205.12446},
+  url = {https://arxiv.org/abs/2205.12446},
+  year = {2022},
+}
+```
+
+