Datasets:
tokens
sequence | ner_tags
sequence |
---|---|
[
"কিন্তু",
"বিচাৰি",
"পায়",
"ক",
"'",
"ত",
"?"
] | [
0,
0,
0,
0,
0,
0,
0
] |
[
"আলেখ্য",
"সম্পাদক"
] | [
0,
0
] |
[
"এটা",
"VPN",
"সংযোগ",
"ধৰণ",
"বাছক"
] | [
0,
0,
0,
0,
0
] |
[
"এটা",
"সেৱাক",
"&",
"brandShortName",
".",
"লৈ",
"যোগ",
"কৰিবলে",
"তাত",
"ক্লিক",
"কৰক",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"\"",
"এই",
"কি",
"'",
"য়ে",
"সন্ধান",
"সঁজুলি",
"আৰম্ভ",
"হওতে",
"\"",
"\"",
"পৰিবৰ্তিত",
"তাৰিখ",
"অধিক",
"\"",
"\"",
"সন্ধান",
"বিকল্প",
"নিৰ্বাচন",
"হয়নে",
"নিৰ্ধাৰণ",
"কৰে",
"।",
"\""
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"দুখন",
"প্ৰধান",
"নদী",
",",
"টাইগ্ৰিছ",
"আৰু",
"ইউফ্ৰেটিছ",
",",
"ইৰাকৰ",
"মধ্যভাগেদি",
"দক্ষিণলৈ",
"পাৰ্ছিয়ান",
"গ",
"'",
"ল্ফৰ",
"কাষত",
"ছাট",
"আল",
"-",
"আৰৱলৈ",
"বৈ",
"গৈছে",
"।"
] | [
0,
0,
0,
0,
5,
0,
5,
0,
0,
0,
5,
6,
0,
0,
0,
0,
5,
6,
6,
6,
0,
0,
0
] |
[
"দেশত",
"সাতদিনীয়া",
"ৰাষ্ট্রীয়",
"শোক",
"ঘোষণা"
] | [
0,
0,
0,
0,
0
] |
[
"পণ্ডিত",
"দীনদয়াল",
"উপাধ্যায়",
"ডাঙৰীয়াই",
"এই",
"কথা",
"১৯৬৫",
"চনত",
"কৈছিল",
"।"
] | [
1,
2,
2,
2,
0,
0,
0,
0,
0,
0
] |
[
"তৰ্ক",
"নকৰিব",
"।"
] | [
0,
0,
0
] |
[
"এটা",
"Wi",
"-",
"Fi",
"(",
"বেতাঁৰ",
")",
"নেটৱাৰ্কৰ",
"সৈতে",
"সংযোগ",
"কৰিবলৈ",
",",
"পৰ্দাৰ",
"ওপৰ",
"সোঁফালে",
"অৱস্থা",
"মেনুত",
"ক্লিক",
"কৰক",
",",
"আৰু",
"তাৰ",
"পিছত",
"ক্লিক",
"কৰক",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"এটা",
"IP",
"ঠিকনা",
"কি",
"?"
] | [
0,
0,
0,
0,
0
] |
[
"বৈদিক",
"যুগৰ",
"পৰা",
"মানিমুনি",
"আয়ুৰ্বেদিক",
"ঔষধ",
"হিচাপে",
"ব্যৱহাৰ",
"কৰি",
"অহা",
"হৈছে",
"।"
] | [
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"পূৰ্বৰ",
"CE",
"/",
"REC",
"/",
"32/2019/3",
",",
"তাৰিখঃ",
"গুৱাহাটী",
",",
"১৩",
"মাৰ্চ",
",",
"২০২০",
"নম্বৰৰ",
"নিবিদা",
"প্ৰেছ",
"জাননী",
"বাতিল",
"কৰি",
"অসমৰ",
"গড়কাপ্টানী",
"বিভাগ",
"(",
"গৃহ",
")",
"ৰ",
"মুখ্য",
"অভিযন্তাই",
"ৰাজ্যপালৰ",
"হৈ",
"আমিনগাঁৱত",
"অসম",
"ন্যায়িক",
"একাডেমী",
"নিৰ্মাণৰ",
"বাবে",
"নতুনকৈ",
"নিবিদা",
"আহ্বান",
"কৰিছে",
"।"
] | [
0,
3,
0,
3,
0,
0,
0,
5,
6,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
5,
0,
0,
0,
3,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"নিবনুৱাৰ",
"জোতাৰ",
"নাই",
"ভৱিষ্যত"
] | [
0,
0,
0,
0
] |
[
"DTMFs",
"প্ৰেৰণৰ",
"বাবে",
"অৱস্থা",
"বাছক"
] | [
0,
0,
0,
0,
0
] |
[
"উৎপাদন",
",",
"উদ্ভাৱন",
",",
"প্রযুক্তি",
",",
"পৰিবেশ",
",",
"পৰিসেৱা",
"-",
"যিয়েই",
"নহওঁক",
"কিয়",
",",
"ছিংগাপুৰ",
"সকলো",
"দিশতে",
"আজিয়েই",
"চিন্তা",
"কৰে",
",",
"যিটো",
"বিশ্বৰ",
"বাকী",
"দেশবোৰে",
"কাইলৈ",
"কৰিব",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
5,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"ভলিউম",
"মাউন্ট",
"কৰতে",
"ব্যৰ্থ",
"।",
"এনক্ৰিপ্ট",
"কৰা",
"ড্ৰাইভেৰ",
"ক্ষেত্ৰে",
"সম্ভবত",
"ভুল",
"পাসৱৰ্ড",
"অথবা",
"কি",
"প্ৰয়োগ",
"কৰা",
"হয়েছে",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"আশা",
"কৰো",
"যে",
"ৰাজ্যৰ",
"চৰকাৰে",
"চিকিৎসক",
",",
"অৰ্থনীতিবিদ",
",",
"শিল্পপতি",
",",
"ব্যৱসায়ী",
",",
"শ্ৰমজীৱী",
",",
"কৃষক",
",",
"নিবনুৱা",
"আৰু",
"অন্য",
"লোকসকলৰ",
"বাবে",
"আয়ৰ",
"উৎসৰ",
"ব্যৱস্থা",
"কৰিব",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"এলিচ",
"চ্প্ৰিংচ্"
] | [
5,
6
] |
[
"এটা",
"সাধাৰণ",
"Windows",
"অংশীদাৰী",
"URL",
"দেখাত",
"এনেকুৱা",
"হয়ঃ"
] | [
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"বিন্যাস",
"নথিপত্ৰ",
"পঢ়োঁতে",
"ব্যৰ্থ"
] | [
0,
0,
0,
0
] |
[
"%",
"s",
"%",
"d",
"%",
"%",
"ত",
"পৰিচয়সমূহ",
"ডাউনল",
"'",
"ড",
"কৰা",
"সম্পূৰ্ণ",
".",
".",
"."
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"\"",
"সেৱাসমূহ",
"\"",
"\"",
"যেনেকুৱা",
"আছে",
"-",
"তেনেকুৱা",
"\"",
"\"",
"ধৰণে",
"প্ৰদান",
"কৰা",
"হয়",
"।",
"{",
"-",
"vendor",
"-",
"short",
"-",
"name",
"}",
",",
"ইয়াক",
"অৱদানকাৰীসকল",
",",
"অনুজ্ঞাদাতাসকল",
",",
"আৰু",
"বিতৰণকাৰীসকল",
",",
"সকলো",
"ৱাৰেণ্টি",
"অস্বীকাৰ",
"কৰে",
",",
"আভাস",
"দিয়া",
"অথবা",
"প্ৰণয়ন",
"কৰা",
",",
"কোনো",
"সীমা",
"নহোৱাকৈ",
"অন্তৰ্ভুক্ত",
"কৰা",
",",
"ৱাৰেণ্টি",
"যাৰ",
"বাবে",
"সেৱাসমূহ",
"বাণিজ্যিক",
"আৰু",
"আপোনাৰ",
"নিৰ্দিষ্ট",
"উদ্দেশ্যৰ",
"বাবে",
"উপযুক্ত",
"।",
"আপুনি",
"সেৱাসমূহ",
"আপোনাৰ",
"উদ্দেশ্যৰ",
"বাবে",
"নিৰ্বাচন",
"কৰিলে",
"সেৱাসমূহৰ",
"বৈশিষ্ট্য",
"আৰু",
"পৰিৱেশনৰ",
"সম্পূৰ্ণ",
"বিপদৰ",
"দায়িত্ব",
"লব",
"।",
"কিছুমান",
"ক্ষেত্ৰাধিকাৰে",
"প্ৰণয়ন",
"কৰা",
"ৱাৰেণ্টিসমূহ",
"বহিষ্কাৰ",
"অথবা",
"সীমিত",
"কৰাৰ",
"অনুমতি",
"নিদিয়ে",
",",
"সেয়েহে",
"এই",
"অস্বীকাৰ",
"পত্ৰ",
"আপোনাৰ",
"বাবে",
"প্ৰযোজ্য",
"নহবও",
"পাৰে",
"।",
"\""
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"আমি",
"জটিল",
"সন্ধিক্ষণত",
"আমাৰ",
"সমস্যাৱলীক",
"ভাগ",
"-",
"বতৰা",
"কৰাৰ",
"দৰে",
"প্ৰত্যেকৰে",
"সফলতাক",
"উদযাপন",
"কৰোঁ",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"Linux",
"চিস্টেমসমূহৰ",
"সৈতে",
"সংগত"
] | [
0,
0,
0,
0
] |
[
"আন",
"এটা",
"ডিভাইচ",
"সংযোগ",
"কৰক"
] | [
0,
0,
0,
0,
0
] |
[
"১৯৯৫",
"চনত",
",",
"মোৰ",
"পত্নী",
"বিয়েট্ৰিজৰ",
"সৈতে"
] | [
0,
0,
0,
0,
0,
1,
0
] |
[
"[",
"১৮",
"পৃষ্ঠাৰ",
"ছবিসমূহ",
"]"
] | [
0,
0,
0,
0,
0
] |
[
"যেতিয়া",
"আপোনাৰ",
"কমপিউটাৰ",
"ব্যৱহাৰ",
"কৰা",
"সম্পূৰ্ণ",
"হয়",
",",
"আপুনি",
"ইয়াক",
"বন্ধ",
"কৰিব",
"পাৰে",
",",
"ইয়াক",
"স্থগিত",
"কৰিব",
"পাৰে",
"(",
"শক্তি",
"সংৰক্ষণ",
"কৰিবলৈ",
")",
",",
"অথবা",
"ইয়াক",
"অন",
"ৰাখি",
"লগ",
"আউট",
"কৰিব",
"পাৰে",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"GNOME",
"সংগীত",
"ৱেবছাইটলৈ",
"যাওক"
] | [
3,
4,
0,
0
] |
[
"কোনোমতেই",
"বাহিৰৰ",
"মানুহজাকক",
"ভিতৰলৈ",
"আহিব",
"দিব",
"নোৱাৰি",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"X",
"-",
"Rite",
"ColorMunki",
"Display",
"(",
"কলৰিমিটাৰ",
")"
] | [
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"মায়াৱতীয়ে",
"কয়",
",",
"'",
"উত্তৰ",
"প্ৰদেশত",
"মহিলাৰ",
"বিৰুদ্ধে",
"সংঘটিত",
"অপৰাধ",
"বৃদ্ধি",
"পাই",
"আছে",
",",
"কিন্তু",
"চৰকাৰ",
"এতিয়াও",
"শুয়েই",
"আছে",
"।"
] | [
1,
0,
0,
0,
5,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"চাৰ্ভাৰৰ",
"ক্লাএণ্টে",
"সমৰ্থন",
"কৰা",
"চিফাৰসমূহতকে",
"অধিক",
"সুৰক্ষিত",
"চিফাৰৰ",
"প্ৰয়োজন",
"।"
] | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"তথাপি",
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"৪০",
",",
"০০০",
"কিলোমিটাৰ",
"অতিক্ৰম",
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[
"এই",
"মহোৎসৱ",
"ৰাজ্যিক",
"চৰকাৰৰ",
"অধীনস্থ",
"জ্যোতি",
"চিত্ৰবন",
"(",
"ফিল্ম",
"ষ্টুডিঅ",
"'",
")",
"আৰু",
"ড°",
"ভূপেন",
"হাজৰিকা",
"আঞ্চলিক",
"চৰকাৰী",
"চলচ্চিত্ৰ",
"আৰু",
"টেলিভিছন",
"প্ৰতিষ্ঠানৰ",
"যুটীয়া",
"সহযোগত",
"অনুষ্ঠিত",
"কৰা",
"হৈছে",
"।"
] | [
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0,
3,
4,
0,
3,
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4,
4,
4,
4,
0,
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0
] |
[
"A",
"-",
"M",
"।",
"ফ্ৰেঞ্চ",
"(",
"বেলজিয়াম",
")"
] | [
3,
0,
0,
0,
0,
0,
5,
0
] |
[
"দুই",
"বাইকআৰোহী",
"গুৰুতৰভাৱে",
"আহত",
"।"
] | [
0,
0,
0,
0,
0
] |
[
"ইয়াৰ",
"কেইবাটাও",
"কাৰণ",
"ব্যাখ্যা",
"কৰা",
"হৈছে",
"।"
] | [
0,
0,
0,
0,
0,
0,
0
] |
[
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"সমলসমূহ",
"দৰ্শন",
"কৰিবলৈঃ"
] | [
0,
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0,
0
] |
[
"PAN",
"সংযোগ",
"সৃষ্টি",
"কৰিবলে",
"ব্যৰ্থঃ",
"%",
"s"
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3,
0,
0,
0,
0,
0,
0
] |
[
"লগ",
"দৰ্শক"
] | [
0,
0
] |
[
"লাইন",
"সেটেৰ",
"তলে",
"পিক্সেল"
] | [
0,
0,
0,
0
] |
[
"আগমণকাৰী",
"নেটৱাৰ্ক",
"ট্ৰাফিক",
"লেখাচিত্ৰৰ",
"অবিকল্পিত",
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[
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0,
0
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[
"মুম্বাইত",
"মঙলবাৰে",
"নিশাৰে",
"পৰা",
"প্ৰৱল",
"বৃষ্টিপাত",
"।"
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5,
0,
0,
0,
0,
0,
0
] |
[
"অফলাইন",
"অৱস্থাত",
"EWS",
"ৰাজহুৱা",
"ফোল্ডাৰসমূহ",
"তালিকাভুক্ত",
"কৰিব",
"নোৱাৰি"
] | [
0,
0,
0,
0,
0,
0,
0,
0
] |
[
"নতুন",
"প্ৰিন্টাৰ",
"সংৰূপণ",
"কৰা"
] | [
0,
0,
0,
0
] |
[
"খোৱাঙত",
"অবৈধ",
"সুৰা",
"জব্দ",
",",
"এজন",
"আটক"
] | [
0,
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0,
0,
0,
0
] |
[
"এয়া",
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"দুৰ্বলতা",
"।"
] | [
0,
0,
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0
] |
[
"UPS",
"মাৰাত্মকভাৱে",
"নিম্ন"
] | [
0,
0,
0
] |
[
"FTP",
"প্ৰক্সি",
"পোৰ্ট"
] | [
0,
0,
0
] |
[
"আমি",
"তেওঁলোকক",
"মৰমেৰে",
"হৰুৱাম",
"।"
] | [
0,
0,
0,
0,
0
] |
Dataset Card for naamapadam
Dataset Summary
Naamapadam is the largest publicly available Named Entity Annotated dataset for 11 Indic languages. This corpora was created by projecting named entities from English side to the Indic language side of the English-Indic languages parallel corpus. The dataset additionally contains manually labelled test set for 8 Indic languages containing 500-1000 sentences.
Supported Tasks and Leaderboards
Tasks: NER on Indian languages.
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
{'words': ['उन्हेनें', 'शिकांगों','में','बोरोडिन','की','पत्नी','को','तथा','वाशिंगटन','में','रूसी','व्यापार','संघ','को','पैसे','भेजे','।'], 'ner': [0, 3, 0, 1, 0, 0, 0, 0, 3, 0, 5, 6, 6, 0, 0, 0, 0], }
Data Fields
words
: Raw tokens in the dataset.ner
: the NER tags for this dataset.
Data Splits
(to be updated, see paper for correct numbers)
Language | Train | Validation | Test |
---|---|---|---|
as | 10266 | 52 | 51 |
bn | 961679 | 4859 | 607 |
gu | 472845 | 2389 | 50 |
hi | 985787 | 13460 | 437 |
kn | 471763 | 2381 | 1019 |
ml | 716652 | 3618 | 974 |
mr | 455248 | 2300 | 1080 |
or | 196793 | 993 | 994 |
pa | 463534 | 2340 | 2342 |
ta | 497882 | 2795 | 49 |
te | 507741 | 2700 | 53 |
Usage
You should have the 'datasets' packages installed to be able to use the :rocket: HuggingFace datasets repository. Please use the following command and install via pip:
pip install datasets
To use the dataset, please use:
from datasets import load_dataset
hiner = load_dataset('ai4bharat/naamapadam')
Dataset Creation
We use the parallel corpus from the Samanantar Dataset between English and the 11 major Indian languages to create the NER dataset. We annotate the English portion of the parallel corpus with existing state-of-the-art NER model. We use word-level alignments learned from the parallel corpus to project the entity labels from English to the Indian language.
Curation Rationale
naamapadam was built from Samanantar dataset. This dataset was built for the task of Named Entity Recognition in Indic languages. The dataset was introduced to introduce new resources to the Indic languages language that was under-served for Natural Language Processing.
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
NER annotations were done following the CoNLL-2003 guidelines.
Who are the annotators?
The annotations for the testset have been done by volunteers who are proficient in the respective languages. We would like to thank all the volunteers:
- Anil Mhaske
- Anoop Kunchukuttan
- Archana Mhaske
- Arnav Mhaske
- Gowtham Ramesh
- Harshit Kedia
- Nitin Kedia
- Rudramurthy V
- Sangeeta Rajagopal
- Sumanth Doddapaneni
- Vindhya DS
- Yash Madhani
- Kabir Ahuja
- Shallu Rani
- Armin Virk
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
The purpose of this dataset is to provide a large-scale Named Entity Recognition dataset for Indic languages. Since the information (data points) has been obtained from public resources, we do not think there is a negative social impact in releasing this data.
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
- We do not own any of the text from which this data has been extracted.
- We license the actual packaging of the mined data under the Creative Commons CC0 license (“no rights reserved”).
- To the extent possible under law, AI4Bharat has waived all copyright and related or neighboring rights to Naamapadam manually collected data and existing sources.
- This work is published from: India.
Citation Information
If you are using the Naampadam corpus, please cite the following article:
@misc{mhaske2022naamapadam,
doi = {10.48550/ARXIV.2212.10168},
url = {https://arxiv.org/abs/2212.10168},
author = {Mhaske, Arnav and Kedia, Harshit and Doddapaneni, Sumanth and Khapra, Mitesh M. and Kumar, Pratyush and Murthy, Rudra and Kunchukuttan, Anoop},
title = {Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages}
publisher = {arXiv},
year = {2022},
}
Contributors
- Arnav Mhaske (AI4Bharat, IITM)
- Harshit Kedia (AI4Bharat, IITM)
- Sumanth Doddapaneni (AI4Bharat, IITM)
- Mitesh M. Khapra (AI4Bharat, IITM)
- Pratyush Kumar (AI4Bharat, Microsoft, IITM)
- Rudra Murthy (AI4Bharat, IBM)
- Anoop Kunchukuttan (AI4Bharat, Microsoft, IITM)
This work is the outcome of a volunteer effort as part of the AI4Bharat initiative.
Contact
- Anoop Kunchukuttan (anoop.kunchukuttan@gmail.com)
- Rudra Murthy V (rmurthyv@in.ibm.com)
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