diff --git a/README.md b/README.md
index 973c7a014fe99fbb5c71f72c565c95e6f8f0c1d6..7196295ad1500bf9dad63377bd4075ae209e2004 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,9 @@
 ---
 task_categories:
+- conditional-text-generation
 - sequence-modeling
 task_ids:
+- machine-translation
 - language-modeling
 multilinguality:
 - translation
@@ -27,23 +29,23 @@ size_categories:
   bn-en:
   - 10K<n<100K
   bn-gu:
-  - 1K<n<10K
+  - 10K<n<100K
   bn-hi:
   - 10K<n<100K
   bn-ml:
-  - 1K<n<10K
+  - 10K<n<100K
   bn-mr:
-  - 1K<n<10K
+  - 10K<n<100K
   bn-or:
-  - n<1K
+  - 10K<n<100K
   bn-pa:
-  - 1K<n<10K
+  - 10K<n<100K
   bn-ta:
-  - 1K<n<10K
+  - 10K<n<100K
   bn-te:
-  - n<1K
+  - 10K<n<100K
   bn-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   en-gu:
   - 10K<n<100K
   en-hi:
@@ -51,89 +53,89 @@ size_categories:
   en-ml:
   - 10K<n<100K
   en-mr:
-  - 10K<n<100K
+  - 100K<n<1M
   en-or:
-  - 1K<n<10K
-  en-pa:
   - 10K<n<100K
+  en-pa:
+  - 100K<n<1M
   en-ta:
-  - 10K<n<100K
+  - 100K<n<1M
   en-te:
-  - 1K<n<10K
-  en-ur:
   - 10K<n<100K
+  en-ur:
+  - 100K<n<1M
   gu-hi:
   - 10K<n<100K
   gu-ml:
-  - 1K<n<10K
+  - 10K<n<100K
   gu-mr:
-  - 1K<n<10K
+  - 10K<n<100K
   gu-or:
-  - n<1K
+  - 10K<n<100K
   gu-pa:
-  - 1K<n<10K
+  - 10K<n<100K
   gu-ta:
-  - 1K<n<10K
+  - 10K<n<100K
   gu-te:
-  - 1K<n<10K
+  - 10K<n<100K
   gu-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   hi-ml:
-  - 1K<n<10K
+  - 10K<n<100K
   hi-mr:
   - 10K<n<100K
   hi-or:
-  - 1K<n<10K
+  - 10K<n<100K
   hi-pa:
-  - 1K<n<10K
+  - 10K<n<100K
   hi-ta:
   - 10K<n<100K
   hi-te:
-  - 1K<n<10K
+  - 10K<n<100K
   hi-ur:
-  - 1K<n<10K
+  - 100K<n<1M
   ml-mr:
-  - 1K<n<10K
+  - 10K<n<100K
   ml-or:
-  - n<1K
+  - 10K<n<100K
   ml-pa:
-  - 1K<n<10K
+  - 10K<n<100K
   ml-ta:
-  - 1K<n<10K
+  - 10K<n<100K
   ml-te:
-  - 1K<n<10K
+  - 10K<n<100K
   ml-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   mr-or:
-  - n<1K
+  - 10K<n<100K
   mr-pa:
-  - 1K<n<10K
+  - 10K<n<100K
   mr-ta:
   - 10K<n<100K
   mr-te:
-  - n<1K
+  - 10K<n<100K
   mr-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   or-pa:
-  - n<1K
+  - 10K<n<100K
   or-ta:
-  - n<1K
+  - 10K<n<100K
   or-te:
-  - n<1K
+  - 10K<n<100K
   or-ur:
-  - n<1K
+  - 10K<n<100K
   pa-ta:
-  - 1K<n<10K
+  - 10K<n<100K
   pa-te:
-  - 1K<n<10K
+  - 10K<n<100K
   pa-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   ta-te:
-  - 1K<n<10K
+  - 10K<n<100K
   ta-ur:
-  - 1K<n<10K
+  - 10K<n<100K
   te-ur:
-  - n<1K
+  - 10K<n<100K
 licenses:
 - cc-by-4-0
 paperswithcode_id: null
@@ -143,6 +145,7 @@ pretty_name: CVIT PIB
 # Dataset Card for CVIT PIB
 
 ## Table of Contents
+- [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
   - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
@@ -166,7 +169,7 @@ pretty_name: CVIT PIB
   - [Citation Information](#citation-information)
   - [Contributions](#contributions)
 
-### Dataset Description
+## Dataset Description
 
 - **Homepage:** http://preon.iiit.ac.in/~jerin/bhasha/
 - **Paper:** https://arxiv.org/abs/2008.04860
@@ -176,21 +179,122 @@ pretty_name: CVIT PIB
 
 This dataset is the large scale sentence aligned corpus in 11 Indian languages, viz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.
 
+### Supported Tasks and Leaderboards
+
+- Machine Translation
+
 ### Languages
 
 Parallel data for following languages [en, bn, gu, hi, ml, mr, pa, or, ta, te, ur] are covered.
 
+## Dataset Structure
+
+### Data Instances
+
+An example for the "gu-pa" language pair:
+```
+{
+  'translation': {
+    'gu': 'એવો નિર્ણય લેવાયો હતો કે ખંતપૂર્વકની કામગીરી હાથ ધરવા, કાયદેસર અને ટેકનિકલ મૂલ્યાંકન કરવા, વેન્ચર કેપિટલ ઇન્વેસ્ટમેન્ટ સમિતિની બેઠક યોજવા વગેરે એઆઇએફને કરવામાં આવેલ પ્રતિબદ્ધતાના 0.50 ટકા સુધી અને બાકીની રકમ એફએફએસને પૂર્ણ કરવામાં આવશે.',
+    'pa': 'ਇਹ ਵੀ ਫੈਸਲਾ ਕੀਤਾ ਗਿਆ ਕਿ ਐੱਫਆਈਆਈ ਅਤੇ ਬਕਾਏ ਲਈ ਕੀਤੀਆਂ ਗਈਆਂ ਵਚਨਬੱਧਤਾਵਾਂ ਦੇ 0.50 % ਦੀ ਸੀਮਾ ਤੱਕ ਐੱਫਈਐੱਸ ਨੂੰ ਮਿਲਿਆ ਜਾਏਗਾ, ਇਸ ਨਾਲ ਉੱਦਮ ਪੂੰਜੀ ਨਿਵੇਸ਼ ਕਮੇਟੀ ਦੀ ਬੈਠਕ ਦਾ ਆਯੋਜਨ ਉਚਿਤ ਸਾਵਧਾਨੀ, ਕਾਨੂੰਨੀ ਅਤੇ ਤਕਨੀਕੀ ਮੁੱਲਾਂਕਣ ਲਈ ਸੰਚਾਲਨ ਖਰਚ ਆਦਿ ਦੀ ਪੂਰਤੀ ਹੋਵੇਗੀ।'
+  }
+}
+```
+
+### Data Fields
+
+- `translation`: Translation field containing the parallel text for the pair of languages.
+
+### Data Splits
+
+The dataset is in a single "train" split.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/) license.
+
 ### Citation Information
 
 ```
-@InProceedings{cvit-pib:multilingual-corpus,
-title = {Revisiting Low Resource Status of Indian Languages in Machine Translation},
-authors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar
-},
-year={2020}
+@inproceedings{siripragada-etal-2020-multilingual,
+    title = "A Multilingual Parallel Corpora Collection Effort for {I}ndian Languages",
+    author = "Siripragada, Shashank  and
+      Philip, Jerin  and
+      Namboodiri, Vinay P.  and
+      Jawahar, C V",
+    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2020.lrec-1.462",
+    pages = "3743--3751",
+    language = "English",
+    ISBN = "979-10-95546-34-4",
+}
+@article{2020,
+   title={Revisiting Low Resource Status of Indian Languages in Machine Translation},
+   url={http://dx.doi.org/10.1145/3430984.3431026},
+   DOI={10.1145/3430984.3431026},
+   journal={8th ACM IKDD CODS and 26th COMAD},
+   publisher={ACM},
+   author={Philip, Jerin and Siripragada, Shashank and Namboodiri, Vinay P. and Jawahar, C. V.},
+   year={2020},
+   month={Dec}
 }
 ```
 
 ### Contributions
 
-Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset.
\ No newline at end of file
+Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset,
+and [@albertvillanova](https://github.com/albertvillanova) for updating its version.
diff --git a/dataset_infos.json b/dataset_infos.json
index 514517d34fba6da8fcb38993be3ce37487d140ba..c674eac4cc778a5b3f7d1e7439f52f59fac33501 100644
--- a/dataset_infos.json
+++ b/dataset_infos.json
@@ -1 +1 @@
-{"or-ur": {"description": "This new dataset is the large scale sentence aligned corpus in 11 Indian languages, \nviz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.\n", "citation": "@InProceedings{cvit-pib:multilingual-corpus,\ntitle = {Revisiting Low Resource Status of Indian Languages in Machine Translation},\nauthors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar\n},\nyear={2020}\n}\n", "homepage": "http://preon.iiit.ac.in/~jerin/bhasha/", "license": "", "features": {"translation": {"languages": ["or", "ur"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "or", "output": "ur"}, "builder_name": "pib", "config_name": "or-ur", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 744288, "num_examples": 741, "dataset_name": "pib"}}, "download_checksums": {"http://preon.iiit.ac.in/~jerin/resources/datasets/pib-v0.tar": {"num_bytes": 318760960, "checksum": "cd01f8e7ae8f72ccd5dbf4fb2a33819b43ca82c9507957b086b954b807b2f357"}}, "download_size": 318760960, "post_processing_size": null, "dataset_size": 744288, "size_in_bytes": 319505248}, "ml-or": {"description": "This new dataset is the large scale sentence aligned corpus in 11 Indian languages, \nviz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.\n", "citation": "@InProceedings{cvit-pib:multilingual-corpus,\ntitle = {Revisiting Low Resource Status of Indian Languages in Machine Translation},\nauthors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar\n},\nyear={2020}\n}\n", "homepage": "http://preon.iiit.ac.in/~jerin/bhasha/", "license": "", "features": {"translation": {"languages": ["ml", "or"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "ml", "output": "or"}, "builder_name": "pib", "config_name": "ml-or", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 261570, "num_examples": 376, "dataset_name": "pib"}}, "download_checksums": {"http://preon.iiit.ac.in/~jerin/resources/datasets/pib-v0.tar": {"num_bytes": 318760960, "checksum": "cd01f8e7ae8f72ccd5dbf4fb2a33819b43ca82c9507957b086b954b807b2f357"}}, "download_size": 318760960, "post_processing_size": null, "dataset_size": 261570, "size_in_bytes": 319022530}, "bn-ta": {"description": "This new dataset is the large scale sentence aligned corpus in 11 Indian languages, \nviz. 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diff --git a/pib.py b/pib.py
index f976dadd7f1ff67398128604ea2bb990537ee26d..8e24cecfa8523a6d818fea90c3c828a621f42cfb 100644
--- a/pib.py
+++ b/pib.py
@@ -12,29 +12,57 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""CVIT IIIT-H PIB Multilingual Corpus"""
-
-
-import os
+"""CVIT PIB Multilingual Corpus"""
 
 import datasets
 
 
 _CITATION = """\
-@InProceedings{cvit-pib:multilingual-corpus,
-title = {Revisiting Low Resource Status of Indian Languages in Machine Translation},
-authors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar
-},
-year={2020}
+@inproceedings{siripragada-etal-2020-multilingual,
+    title = "A Multilingual Parallel Corpora Collection Effort for {I}ndian Languages",
+    author = "Siripragada, Shashank  and
+      Philip, Jerin  and
+      Namboodiri, Vinay P.  and
+      Jawahar, C V",
+    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2020.lrec-1.462",
+    pages = "3743--3751",
+    language = "English",
+    ISBN = "979-10-95546-34-4",
+}
+@article{2020,
+   title={Revisiting Low Resource Status of Indian Languages in Machine Translation},
+   url={http://dx.doi.org/10.1145/3430984.3431026},
+   DOI={10.1145/3430984.3431026},
+   journal={8th ACM IKDD CODS and 26th COMAD},
+   publisher={ACM},
+   author={Philip, Jerin and Siripragada, Shashank and Namboodiri, Vinay P. and Jawahar, C. V.},
+   year={2020},
+   month={Dec}
 }
 """
 
 _DESCRIPTION = """\
-This new dataset is the large scale sentence aligned corpus in 11 Indian languages,
-viz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.
+Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau
+website.
 """
 
-_URL = "http://preon.iiit.ac.in/~jerin/resources/datasets/pib-v0.tar"
+_HOMEPAGE = "http://preon.iiit.ac.in/~jerin/bhasha/"
+
+_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International"
+
+_URL = {
+    "0.0.0": "http://preon.iiit.ac.in/~jerin/resources/datasets/pib-v0.tar",
+    "1.3.0": "http://preon.iiit.ac.in/~jerin/resources/datasets/pib_v1.3.tar.gz",
+}
+_ROOT_DIR = {
+    "0.0.0": "pib",
+    "1.3.0": "pib-v1.3",
+}
 
 _LanguagePairs = [
     "or-ur",
@@ -98,8 +126,8 @@ _LanguagePairs = [
 class PibConfig(datasets.BuilderConfig):
     """BuilderConfig for PIB"""
 
-    def __init__(self, language_pair, **kwargs):
-        super().__init__(**kwargs)
+    def __init__(self, language_pair, version=datasets.Version("1.3.0"), **kwargs):
+        super().__init__(version=version, **kwargs)
         """
 
         Args:
@@ -118,36 +146,39 @@ class Pib(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [PibConfig(name=pair, description=_DESCRIPTION, language_pair=pair) for pair in _LanguagePairs]
 
     def _info(self):
-        # TODO: Specifies the datasets.DatasetInfo object
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=(self.config.src, self.config.tgt))}
+                {"translation": datasets.features.Translation(languages=[self.config.src, self.config.tgt])}
             ),
             supervised_keys=(self.config.src, self.config.tgt),
-            homepage="http://preon.iiit.ac.in/~jerin/bhasha/",
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
             citation=_CITATION,
         )
 
     def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(_URL)
-
-        data_dir = os.path.join(dl_dir, f"pib/{self.config.src}-{self.config.tgt}")
+        archive = dl_manager.download(_URL[str(self.config.version)])
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, f"train.{self.config.src}"),
-                    "labelpath": os.path.join(data_dir, f"train.{self.config.tgt}"),
+                    "archive": dl_manager.iter_archive(archive),
                 },
             ),
         ]
 
-    def _generate_examples(self, filepath, labelpath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f1, open(labelpath, encoding="utf-8") as f2:
-            src = f1.read().split("\n")[:-1]
-            tgt = f2.read().split("\n")[:-1]
-            for idx, (s, t) in enumerate(zip(src, tgt)):
-                yield idx, {"translation": {self.config.src: s, self.config.tgt: t}}
+    def _generate_examples(self, archive):
+        root_dir = _ROOT_DIR[str(self.config.version)]
+        data_dir = f"{root_dir}/{self.config.src}-{self.config.tgt}"
+        src = tgt = None
+        for path, file in archive:
+            if data_dir in path:
+                if f"{data_dir}/train.{self.config.src}" in path:
+                    src = file.read().decode("utf-8").split("\n")[:-1]
+                if f"{data_dir}/train.{self.config.tgt}" in path:
+                    tgt = file.read().decode("utf-8").split("\n")[:-1]
+            if src and tgt:
+                break
+        for idx, (s, t) in enumerate(zip(src, tgt)):
+            yield idx, {"translation": {self.config.src: s, self.config.tgt: t}}