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README.md

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----
-dataset_info:
-  features:
-  - name: source
-    dtype: string
-  - name: target
-    dtype: string
-  - name: translation_direction
-    dtype: string
-  - name: translation_direction_verbalized
-    dtype: string
-  splits:
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-    num_bytes: 354403
-    num_examples: 1503
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-  - name: ur
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-  download_size: 3215713
-  dataset_size: 7651503
-configs:
-- config_name: default
-  data_files:
-  - split: as
-    path: data/as-*
-  - split: bn
-    path: data/bn-*
-  - split: brx
-    path: data/brx-*
-  - split: doi
-    path: data/doi-*
-  - split: gom
-    path: data/gom-*
-  - split: gu
-    path: data/gu-*
-  - split: hi
-    path: data/hi-*
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-    path: data/kn-*
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-    path: data/ks-*
-  - split: mai
-    path: data/mai-*
-  - split: ml
-    path: data/ml-*
-  - split: mr
-    path: data/mr-*
-  - split: mni
-    path: data/mni-*
-  - split: ne
-    path: data/ne-*
-  - split: or
-    path: data/or-*
-  - split: pa
-    path: data/pa-*
-  - split: sa
-    path: data/sa-*
-  - split: sat
-    path: data/sat-*
-  - split: sd
-    path: data/sd-*
-  - split: ta
-    path: data/ta-*
-  - split: te
-    path: data/te-*
-  - split: ur
-    path: data/ur-*
----
+# IN22-Conv-enxx
+
+This dataset is a reformatted version of [ai4bharat/IN22-Conv](https://huggingface.co/datasets/ai4bharat/IN22-Conv) 
+to match the structure of [VarunGumma/IGB_Flores_xxen](https://huggingface.co/datasets/VarunGumma/IGB_Flores_xxen).
+
+## Translation Direction
+- **Direction**: English to Indic languages (enxx)
+- **Source**: English (`eng_Latn`)
+- **Targets**: 22 Indic languages
+
+## Dataset Structure
+- Each language subset contains translations from English to that specific Indic language
+- Fields: `source`, `target`, `translation_direction`, `translation_direction_verbalized`
+
+## Available Languages
+Assamese, Bengali, Bodo, Dogri, Konkani, Gujarati, Hindi, Kannada, Kashmiri, Maithili, Malayalam, Marathi, Manipuri, Nepali, Odia, Punjabi, Sanskrit, Santali, Sindhi, Tamil, Telugu, Urdu
+
+## Usage
+```python
+from datasets import load_dataset
+dataset = load_dataset("manan-u/in22_conv_enxx", "hi")  # Load Hindi subset
+```