Update parquet files

.gitattributes

@@ -1,37 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text

IndicQuestionGeneration.py

@@ -1,112 +0,0 @@
-import json
-import os
-
-import datasets
-
-_CITATION = """\
-@inproceedings{Kumar2022IndicNLGSM,
-  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
-  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
-  year={2022},
-  url = "https://arxiv.org/abs/2203.05437"
-}
-"""
-
-_DESCRIPTION = """\
-This is the Question Generation dataset released as part of IndicNLG Suite. Each 
-example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
-languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is a translated data. The examples in each language are exactly similar but in different languages. 
-The number of examples in each language is 98,027.
-"""
-_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
-
-_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
-
-_URL = "https://huggingface.co/datasets/ai4bharat/IndicQuestionGeneration/resolve/main/data/{}_QuestionGeneration_v{}.zip"
-
-
-_LANGUAGES = [
-    "as",
-    "bn",
-	"gu",
-    "hi",
-    "kn",
-    "ml",
-	"mr",
-    "or",
-    "pa",
-    "ta",
-    "te"
-]
-    
-
-class QuestionGeneration(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-    
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="{}".format(lang),
-            version=datasets.Version("1.0.0")
-        )
-        for lang in _LANGUAGES
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-					"squad_id": datasets.Value("string"),
-                    "answer": datasets.Value("string"),
-                    "context": datasets.Value("string"),
-                    "question": datasets.Value("string")
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE,
-            version=self.VERSION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        lang = str(self.config.name)
-        url = _URL.format(lang, self.VERSION.version_str[:-2])
-
-        data_dir = dl_manager.download_and_extract(url)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir,  lang + "_train" + ".jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, lang + "_test" + ".jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, lang + "_val" + ".jsonl"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf-8") as f:
-            for idx_, row in enumerate(f):
-                data = json.loads(row)
-                yield idx_, {
-                    "id": data["id"],
-					"squad_id": data["squad_id"],
-                    "answer": data["answer"],
-                    "context": data["context"],
-                    "question": data["question"]
-                   
-                }

README.md

@@ -1,213 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-language:
-- as
-- bn
-- gu
-- hi
-- kn
-- ml
-- mr
-- or
-- pa
-- ta
-- te
-license:
-- cc-by-nc-4.0
-multilinguality:
-- multilingual
-pretty_name: IndicQuestionGeneration
-size_categories:
-- 98K<n<98K
-source_datasets:
-- we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
-task_categories:
-- conditional-text-generation
-task_ids:
-- conditional-text-generation-other-question-generation
----
-
-# Dataset Card for "IndicQuestionGeneration"
-
-## Table of Contents
-- [Dataset Card Creation Guide](#dataset-card-creation-guide)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-  - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Annotations](#annotations)
-      - [Annotation process](#annotation-process)
-      - [Who are the annotators?](#who-are-the-annotators)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Social Impact of Dataset](#social-impact-of-dataset)
-    - [Discussion of Biases](#discussion-of-biases)
-    - [Other Known Limitations](#other-known-limitations)
-  - [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-information)
-    - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
-- **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
-- **Point of Contact:** 
-
-### Dataset Summary
-
-IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each 
-example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
-languages, including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is translated data. The examples in each language are exactly similar but in different languages. 
-The number of examples in each language is 98,027.
-
-
-### Supported Tasks and Leaderboards
-
-**Tasks:** Question Generation
-
-**Leaderboards:** Currently there is no Leaderboard for this dataset.
-
-### Languages
--  `Assamese (as)`
--  `Bengali (bn)`
--  `Gujarati (gu)`
--  `Kannada (kn)`
--  `Hindi (hi)`
--  `Malayalam (ml)`
--  `Marathi (mr)`
--  `Oriya (or)`
--  `Punjabi (pa)`
--  `Tamil (ta)`
--  `Telugu (te)`
-
-## Dataset Structure
-
-### Data Instances
-
-One random example from the `hi` dataset is given below in JSON format. 
-  ```
-  {
-  "id": 8, 
-  "squad_id": "56be8e613aeaaa14008c90d3", 
-  "answer": "अमेरिकी फुटबॉल सम्मेलन", 
-  "context": "अमेरिकी फुटबॉल सम्मेलन (एएफसी) के चैंपियन डेनवर ब्रोंकोस ने नेशनल फुटबॉल कांफ्रेंस (एनएफसी) की चैंपियन कैरोलिना पैंथर्स को 24-10 से हराकर अपना तीसरा सुपर बाउल खिताब जीता।", 
-  "question": "एएफसी का मतलब क्या है?"
-  }
-  ```
-
-### Data Fields
--  `id (string)`: Unique identifier.
--  `squad_id (string)`: Unique identifier in Squad dataset.
--  `answer (strings)`: Answer as one of the two inputs.
--  `context (string)`: Context, the other input. 
--  `question (string)`: Question, the output.
-
-
-### Data Splits
-
-Here is the number of samples in each split for all the languages.
-
-
-
-
-Language	|	ISO 639-1 Code	|	Train	|	Dev	|	Test	|
-----------	|	----------	|	----------	|	----------	|	----------	|
-Assamese	|	as	|	69,979	|	17,495	|	10,553	|
-Bengali	|	bn	|	69,979	|	17,495	|	10,553	|
-Gujarati	|	gu	|	69,979	|	17,495	|	10,553	|
-Hindi	|	hi	|	69,979	|	17,495	|	10,553	|
-Kannada	|	kn	|	69,979	|	17,495	|	10,553	|
-Malayalam	|	ml	|	69,979	|	17,495	|	10,553	|
-Marathi	|	mr 	|	69,979	|	17,495	|	10,553	|
-Oriya	|	or	|	69,979	|	17,495	|	10,553	|
-Punjabi	|	pa 	|	69,979	|	17,495	|	10,553	|
-Tamil	|	ta 	|	69,979	|	17,495	|	10,553	|
-Telugu	|	te 	|	69,979	|	17,495	|	10,553	|
-
-
-## Dataset Creation
-
-### Curation Rationale
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-### Source Data
-
-Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
-
-#### Initial Data Collection and Normalization
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-#### Who are the source language producers?
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-### Annotations
-[More information needed]
-#### 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
-
-Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
-### Citation Information
-
-If you use any of the datasets, models or code modules, please cite the following paper:
-```
-@inproceedings{Kumar2022IndicNLGSM,
-  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
-  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
-  year={2022},
-  url = "https://arxiv.org/abs/2203.05437",     
-```
-
-
-### Contributions
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)

data/bn_QuestionGeneration_v1.0.zip → as/indic_question_generation-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f90057e615d8f8d1d8aed9b7983d9273bb9dfa32e87a51254150e5fac1dbb42f
-size 15905855
+oid sha256:ea70ae7f60f6cd63e53f1e60abb2d6efa466dfe41b945631184853269e678099
+size 2077507

data/gu_QuestionGeneration_v1.0.zip → as/indic_question_generation-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc848eb86eeb3ee117662d1572e65d0a7daf2ab0a88f2bd3b4e45ee97d1c1b13
-size 15844696
+oid sha256:9e275647d70e3cdf0d3b446164c95be14a1b8cfa6ecb68f091aec15b7d7f0d2a
+size 20230146

data/hi_QuestionGeneration_v1.0.zip → as/indic_question_generation-validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a11429723f7ac964fe03ae47cb5b288a1ad4c01fb3f42c8065d195b101aa29bc
-size 16167240
+oid sha256:b5f0e98edc59978fe1ff7ec2a2a4e112954e54983abf34662f06fc633e522f00
+size 4416608

data/as_QuestionGeneration_v1.0.zip → bn/indic_question_generation-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5863d4e6fcb225014f73632e45cc25dcd30fc42599f3f7d8a056da4065099ef2
-size 15816860
+oid sha256:e817ad75c4c0fd49b48b655a5b34038d38f8b630f1936ca5bea40d0e833a7d48
+size 2108831

bn/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afb7042f37adb2bbe36850ead7faf0aa540aa56d9aeba4249539e9ca0736f6fb
+size 20706933

bn/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bccad02056039db202eee74a247eae8c50ff895c0450d04fbaa8a5227a23efe5
+size 4498986

data/kn_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1279287d29bc70c386e76e7075a8c44a968e9dbe2700cf8d40ac1430eea3c7d4
-size 16481228

data/ml_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:353e3c33366033a67e3cfed5a0e8063ca56112e84479bd8b0ed7921b52ba9968
-size 16408995

data/mr_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c7a28feebdd4321bba9a2f3e0f0eeb561ffb80d44f966df98c7c8fc82bcd13bd
-size 16000237

data/or_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:14853d24efac70442c50da73970b667b6f6fef685ad0aa21732134300c0f6706
-size 15586104

data/pa_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:766ae3d67b5ce2353db2d81272b954ca9eb1f8f437c85d5d4b48b26ff2e912f1
-size 15933869

data/ta_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ec1309aeaa159acda4a8c1a360d3b231e4594b6e10b395fef10ff02d4fee37c8
-size 16376067

data/te_QuestionGeneration_v1.0.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:792edd85fe5708c4f74f13cef4a3570213eab2ad61ecd146a95ac816618fe7bb
-size 15589636

gu/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e642e8e3598fd8d64152c3f4aa1dc256c3d6f86678f83e0fd7dc20bb775851fe
+size 2076203

gu/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ad66a1410bd692413e84ccefa7a1268b68f9d64f4e793d3b53857ab3d1fd93d
+size 20283704

gu/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34c83f2651089bb1c25e3bc592673ce556f4c7b28011338a05f5ed354aeeaefb
+size 4420208

hi/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5544d83f035eb966fd704bfc054820104239c5015d22bd532e30c3d13567809e
+size 2100531

hi/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c77873097d12269ed231814c0455cdc0f0597196ea7427c5c15e1d0687d3853b
+size 20535626

hi/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0fefe9c02f08090e272a8b29f522d9d4e5c71ee8ee42906004614404a58a1013
+size 4482347

kn/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:846faf3f7400f766692038fd05ac86328cf211bb5ef85fad92dc3161c5494596
+size 2183903

kn/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9b96ae4489557ba9a4795e735cf7af80bb78f61b7f8486c715733edd793891c
+size 21501200

kn/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11092a59046c545a5331ae1ceef3b038fde58053849fb1c4d3999278c5e3d3ef
+size 4692027

ml/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7a6bf3351c2b76fd7d7075d90ac51f2078b8907d6f49d6f191eabbcd2ee4aec
+size 2240651

ml/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40f33fe6fecd6f7216677a44532685515397839b9f72562628d58a0f810df14e
+size 21644694

ml/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82bda4148fe3356c4f9e8bc80e8c67cb1a327e4df7e57c0c542de8703b7722a0
+size 4724283

mr/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eea415d401896a45170db1e0c270da4ee42237f7459723d341fcd690b4aa4759
+size 2102282

mr/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ba618fcedc01aad19b7070b2058a5bf08f8069ca95ef3ddd813d5a5e0212779
+size 20404521

mr/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14ae006910110b33b2eaecc0465cb4b7323c27e8a26641fd7228d247f1f3bb39
+size 4453296

or/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98b12154fcb0972cfdfc9d4290181ffe68de750744d8189dc8d25b87fc40a1ef
+size 2078929

or/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb91c3e40238d148345789efcb90fcc69d851a5f5846f1f5c470e9b76cf7dcc6
+size 20200567

or/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5e0fe6e6c3e39bceb83cfb5df4e7b56dc93f63c97f1fadd7ee1454f4ec4379e
+size 4413014

pa/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3974f06de763351e7ddb26bc011d8f9b0a4804f8c680cb0ff55c0e80b059854
+size 2065279

pa/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:018ee07c7c238eaf3af30f57b2d79a5e5122d8eb19c672bc147033690ed413d8
+size 20093280

pa/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f981dba64566f97ff1143195b316d317e25c8331477cb71aac4e3b2be3f8e67e
+size 4399708

ta/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0af3a25b002b72b9cf35b5787b3c16c4ed2f43c7c97398950e0a9d269523bc3d
+size 2241433

ta/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22e8cc7e7c169fad3f06f908d856fa8a77d288aa1103b5b11e686536c80a8889
+size 21609282

ta/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:110636eea98a4e401d0d741a967203c041253742436d977ced00e7827e82ff9e
+size 4755191

te/indic_question_generation-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c833eb2732ce106f015feabfafa5742db64c54f120654ab4f35ec77215756255
+size 2083360

te/indic_question_generation-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93c48922beb52aa7d148a6d18ddc0c79176eaca75e39fe3078ae67974a069be9
+size 20104205

te/indic_question_generation-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84c878a5758cc37a58a6ea1c9cc0dfc1af123fa5a64be64e80ab082d7e58c5f6
+size 4389014