Update README.md

README.md

@@ -17,7 +17,7 @@ dataset_info:
     num_bytes: 432816839.3109558
     num_examples: 158612
   download_size: 2214924048
-  dataset_size: 2164078739.0
+  dataset_size: 2164078739
 - config_name: Gidugu
   features:
   - name: image
@@ -53,7 +53,7 @@ dataset_info:
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     num_examples: 158248
   download_size: 2343396240
-  dataset_size: 2311914336.0
+  dataset_size: 2311914336
 - config_name: LakkiReddy
   features:
   - name: image
@@ -71,7 +71,7 @@ dataset_info:
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     num_examples: 159153
   download_size: 2803364713
-  dataset_size: 2819116619.0
+  dataset_size: 2819116619
 - config_name: Mallanna
   features:
   - name: image
@@ -89,7 +89,7 @@ dataset_info:
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     num_examples: 158720
   download_size: 2502257967
-  dataset_size: 2501858719.0
+  dataset_size: 2501858719
 - config_name: Mandali-Regular
   features:
   - name: image
@@ -107,7 +107,7 @@ dataset_info:
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     num_examples: 157478
   download_size: 2457756020
-  dataset_size: 2456628231.0
+  dataset_size: 2456628231
 - config_name: NATS
   features:
   - name: image
@@ -125,7 +125,7 @@ dataset_info:
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     num_examples: 157798
   download_size: 2303879039
-  dataset_size: 2261332390.0
+  dataset_size: 2261332390
 - config_name: NTR
   features:
   - name: image
@@ -143,7 +143,7 @@ dataset_info:
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     num_examples: 157998
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-  dataset_size: 2623952684.0
+  dataset_size: 2623952684
 - config_name: Nandini
   features:
   - name: image
@@ -161,7 +161,7 @@ dataset_info:
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     num_examples: 159541
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-  dataset_size: 2876738645.0
+  dataset_size: 2876738645
 - config_name: Nandini3
   features:
   - name: image
@@ -197,7 +197,7 @@ dataset_info:
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     num_examples: 158977
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-  dataset_size: 2920273608.0
+  dataset_size: 2920273608
 - config_name: NotoSansTelugu-Regular
   features:
   - name: image
@@ -215,7 +215,7 @@ dataset_info:
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     num_examples: 159410
   download_size: 2848500410
-  dataset_size: 2863394874.0
+  dataset_size: 2863394874
 - config_name: NotoSansTeluguUI-Bold
   features:
   - name: image
@@ -233,7 +233,7 @@ dataset_info:
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     num_examples: 158717
   download_size: 2901117051
-  dataset_size: 2917057999.0
+  dataset_size: 2917057999
 - config_name: NotoSansTeluguUI-Regular
   features:
   - name: image
@@ -251,7 +251,7 @@ dataset_info:
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     num_examples: 159246
   download_size: 2856472137
-  dataset_size: 2871736211.0
+  dataset_size: 2871736211
 - config_name: NotoSerifTelugu-VariableFont_wght
   features:
   - name: image
@@ -269,7 +269,7 @@ dataset_info:
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     num_examples: 158468
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-  dataset_size: 2692338136.0
+  dataset_size: 2692338136
 - config_name: Peddana-Regular
   features:
   - name: image
@@ -287,7 +287,7 @@ dataset_info:
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     num_examples: 158678
   download_size: 2288692690
-  dataset_size: 2249336161.0
+  dataset_size: 2249336161
 - config_name: Ponnala
   features:
   - name: image
@@ -305,7 +305,7 @@ dataset_info:
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     num_examples: 158904
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-  dataset_size: 2607211813.0
+  dataset_size: 2607211813
 - config_name: Pothana2000
   features:
   - name: image
@@ -323,7 +323,7 @@ dataset_info:
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     num_examples: 158162
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-  dataset_size: 2556488654.0
+  dataset_size: 2556488654
 - config_name: Pothana2001
   features:
   - name: image
@@ -341,7 +341,7 @@ dataset_info:
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     num_examples: 159115
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-  dataset_size: 2153795603.0
+  dataset_size: 2153795603
 - config_name: Ramabhadra1
   features:
   - name: image
@@ -359,7 +359,7 @@ dataset_info:
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     num_examples: 159040
   download_size: 2293250323
-  dataset_size: 2261115229.0
+  dataset_size: 2261115229
 - config_name: RamaneeyaWin
   features:
   - name: image
@@ -377,7 +377,7 @@ dataset_info:
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     num_examples: 158464
   download_size: 2609295282
-  dataset_size: 2616303132.0
+  dataset_size: 2616303132
 - config_name: Ramaraja-Regular
   features:
   - name: image
@@ -395,7 +395,7 @@ dataset_info:
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     num_examples: 157529
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-  dataset_size: 2351489541.0
+  dataset_size: 2351489541
 - config_name: RaviPrakash
   features:
   - name: image
@@ -431,7 +431,7 @@ dataset_info:
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     num_examples: 158553
   download_size: 2435442971
-  dataset_size: 2415949647.0
+  dataset_size: 2415949647
 - config_name: Subhadra
   features:
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@@ -449,7 +449,7 @@ dataset_info:
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-  dataset_size: 2825803337.0
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 - config_name: Suguna
   features:
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@@ -467,7 +467,7 @@ dataset_info:
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     num_examples: 159022
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-  dataset_size: 2411637871.0
+  dataset_size: 2411637871
 - config_name: Suranna
   features:
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@@ -485,7 +485,7 @@ dataset_info:
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+  dataset_size: 2506004139
 - config_name: Suravara_Samhita
   features:
   - name: image
@@ -503,7 +503,7 @@ dataset_info:
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     num_examples: 158179
   download_size: 2585415226
-  dataset_size: 2597658729.0
+  dataset_size: 2597658729
 - config_name: Suravara_Swarna
   features:
   - name: image
@@ -521,7 +521,7 @@ dataset_info:
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     num_examples: 158560
   download_size: 2475591226
-  dataset_size: 2477266326.0
+  dataset_size: 2477266326
 - config_name: Suravara_Swarna_bold
   features:
   - name: image
@@ -539,7 +539,7 @@ dataset_info:
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     num_examples: 159378
   download_size: 2850593671
-  dataset_size: 2868019194.0
+  dataset_size: 2868019194
 - config_name: Suravara_Swarna_italic
   features:
   - name: image
@@ -557,7 +557,7 @@ dataset_info:
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     num_examples: 159678
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-  dataset_size: 2412949400.0
+  dataset_size: 2412949400
 - config_name: Suravaram
   features:
   - name: image
@@ -575,7 +575,7 @@ dataset_info:
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     num_examples: 159009
   download_size: 4809669330
-  dataset_size: 2381914466.0
+  dataset_size: 2381914466
 - config_name: TLOTAmmaBI_ship
   features:
   - name: image
@@ -611,7 +611,7 @@ dataset_info:
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     num_examples: 159154
   download_size: 4021858976
-  dataset_size: 4026953027.0
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 - config_name: TLOTAmmaI_ship
   features:
   - name: image
@@ -629,7 +629,7 @@ dataset_info:
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     num_examples: 157599
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-  dataset_size: 4129441993.0
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 - config_name: TLOTAmmaN_ship
   features:
   - name: image
@@ -665,7 +665,7 @@ dataset_info:
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     num_examples: 158440
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+  dataset_size: 4422344542
 - config_name: TLOTAmrutaB_Ship
   features:
   - name: image
@@ -683,7 +683,7 @@ dataset_info:
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     num_examples: 158097
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 - config_name: TLOTAtreyaBI_Ship
   features:
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@@ -701,7 +701,7 @@ dataset_info:
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     num_examples: 158858
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 - config_name: TLOTAtreyaB_Ship
   features:
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@@ -719,7 +719,7 @@ dataset_info:
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     num_examples: 159029
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+  dataset_size: 2447939516
 - config_name: TLOTAtreyaI_Ship
   features:
   - name: image
@@ -728,16 +728,16 @@ dataset_info:
     dtype: string
   splits:
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+    num_bytes: 2031521130
     num_examples: 478089
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   - name: test
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     num_examples: 159363
   download_size: 3373208127
-  dataset_size: 3385868550.0
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 - config_name: TLOTAtreyaN_Ship
   features:
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 - config_name: TLOTChandanaBI_Ship
   features:
   - name: image
@@ -791,7 +791,7 @@ dataset_info:
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     num_examples: 159324
   download_size: 4287747645
-  dataset_size: 4289999924.0
+  dataset_size: 4289999924
 - config_name: TLOTDevaI_Ship
   features:
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-  dataset_size: 4134809255.0
+  dataset_size: 4134809255
 - config_name: TLOTDevaN_Ship
   features:
   - name: image
@@ -827,7 +827,7 @@ dataset_info:
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   download_size: 4164760790
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+  dataset_size: 4168098297
 - config_name: TLOTDraupadiBI_Ship
   features:
   - name: image
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     num_examples: 158870
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-  dataset_size: 3873186417.0
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 - config_name: TLOTDraupadiB_ship
   features:
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     num_examples: 159953
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-  dataset_size: 3846577202.0
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 - config_name: TLOTDraupadiI_Ship
   features:
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@@ -881,7 +881,7 @@ dataset_info:
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-  dataset_size: 4241247089.0
+  dataset_size: 4241247089
 - config_name: TLOTDraupadiN_Ship
   features:
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@@ -899,7 +899,7 @@ dataset_info:
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     num_examples: 158470
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+  dataset_size: 4235797742
 - config_name: TLOTGolkondaBI_Ship
   features:
   - name: image
@@ -917,7 +917,7 @@ dataset_info:
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     num_examples: 158181
   download_size: 3977928852
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+  dataset_size: 3982847203
 - config_name: TLOTGolkondaB_Ship
   features:
   - name: image
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 - config_name: TLOTKrishnaB_Ship
   features:
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@@ -953,7 +953,7 @@ dataset_info:
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 - config_name: TLOTKrishnaI_Ship
   features:
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@@ -971,7 +971,7 @@ dataset_info:
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 - config_name: TLOTKrishnaN_Ship
   features:
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@@ -989,7 +989,7 @@ dataset_info:
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-  dataset_size: 4128044095.0
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 - config_name: TLOTManuBI_Ship
   features:
   - name: image
@@ -1025,7 +1025,7 @@ dataset_info:
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 - config_name: TLOTManuI_Ship
   features:
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 - config_name: TLOTManuN_Ship
   features:
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 - config_name: TLOTMenakaB_Ship
   features:
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 - config_name: TLOTMenakaN_Ship
   features:
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 - config_name: TLOTPavaniB_Ship
   features:
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 - config_name: TLOTPriyaBI_Ship
   features:
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 - config_name: TLOTPriyaB_Ship
   features:
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 - config_name: TLOTRajanBI_Ship
   features:
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 - config_name: TLOTRajanB_Ship
   features:
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 - config_name: TLOTRajaniB_Ship
   features:
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-  dataset_size: 3395921286.0
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 - config_name: TLOTSanjanaBI_Ship
   features:
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 - config_name: TLOTSanjanaB_Ship
   features:
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 - config_name: TLOTSitaraBI_Ship
   features:
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 - config_name: TLOTSitaraB_Ship
   features:
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 - config_name: TLOTSwamiB
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 - config_name: TLOTSwamiBI_Ship
   features:
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 - config_name: TLOTSwamiB_Ship
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 - config_name: TLOTVennela1B_Ship
   features:
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 - config_name: TLOTVennelaBI_Ship
   features:
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 - config_name: TLOTVennelaB_Ship
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 - config_name: TLOTVennelaI_Ship
   features:
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 - config_name: TLOTVennelaN_Ship
   features:
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 - config_name: TenaliRamakrishna-Regular
   features:
   - name: image
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 - config_name: Tikkana
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@@ -1529,7 +1529,7 @@ dataset_info:
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 - config_name: TimmanaRegular
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 - config_name: Vajram
   features:
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@@ -1565,7 +1565,7 @@ dataset_info:
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 - config_name: Vani
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@@ -1583,7 +1583,7 @@ dataset_info:
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 - config_name: Vanib
   features:
   - name: image
@@ -1601,7 +1601,7 @@ dataset_info:
     num_bytes: 507430139.2
     num_examples: 158317
   download_size: 2529233521
-  dataset_size: 2537150696.0
+  dataset_size: 2537150696
 - config_name: Vemana
   features:
   - name: image
@@ -1619,7 +1619,7 @@ dataset_info:
     num_bytes: 566388510.2697848
     num_examples: 158736
   download_size: 2814457802
-  dataset_size: 2831931847.0
+  dataset_size: 2831931847
 - config_name: akshar
   features:
   - name: image
@@ -1637,7 +1637,7 @@ dataset_info:
     num_bytes: 446395180.4392547
     num_examples: 158724
   download_size: 2284376294
-  dataset_size: 2231967465.0
+  dataset_size: 2231967465
 - config_name: gautami
   features:
   - name: image
@@ -1655,7 +1655,7 @@ dataset_info:
     num_bytes: 486399994.91947037
     num_examples: 158809
   download_size: 2447315957
-  dataset_size: 2431993849.0
+  dataset_size: 2431993849
 - config_name: gautamib
   features:
   - name: image
@@ -1673,7 +1673,7 @@ dataset_info:
     num_bytes: 488249870.869556
     num_examples: 159154
   download_size: 2454242590
-  dataset_size: 2441240151.0
+  dataset_size: 2441240151
 - config_name: lohit_te
   features:
   - name: image
@@ -1691,7 +1691,7 @@ dataset_info:
     num_bytes: 522301215.268921
     num_examples: 159270
   download_size: 2611413315
-  dataset_size: 2611502797.0
+  dataset_size: 2611502797
 configs:
 - config_name: Dhurjati
   data_files:
@@ -2445,142 +2445,47 @@ configs:
     path: lohit_te/validation-*
   - split: test
     path: lohit_te/test-*
+license: gpl-3.0
+task_categories:
+- image-to-text
+language:
+- te
+size_categories:
+- 1M<n<10M
 ---
 
 # Dataset Card for Dataset Name
 
-<!-- Provide a quick summary of the dataset. -->
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-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 ## Dataset Details
 
 ### Dataset Description
 
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-- **Curated by:** [More Information Needed]
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-## Uses
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-### Direct Use
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-### Out-of-Scope Use
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-## Dataset Structure
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-## Dataset Creation
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-### Curation Rationale
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-### Source Data
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-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+This extensive dataset, hosted on Huggingface, is a comprehensive resource for Optical Character Recognition (OCR) in the Telugu language, featuring an impressive array of 90+ configurations. Each configuration in this dataset corresponds to a unique font, meticulously curated by Dr. Rakesh Achanta and sourced from his GitHub repository (https://github.com/TeluguOCR/banti_telugu_ocr).
 
-[More Information Needed]
+The dataset is specifically designed to support and enhance the development of OCR models, ranging from simple Convolutional Recurrent Neural Network (CRNN) architectures to more advanced systems like trOCR. The versatility of this dataset lies in its large volume and diversity, making it an ideal choice for researchers and developers aiming to build robust OCR systems for the Telugu script.
 
-#### Who are the source data producers?
+Key Features:
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+    - Font Diversity: Over 90 unique fonts, each forming a separate configuration, providing a rich variety in text styles and nuances.
+    - Large Volume: Each configuration contains approximately 800,000 examples, summing up to a vast pool of data for comprehensive training and evaluation.
+    - Data Split: The dataset is pre-split into training, validation, and test sets, following a 60/20/20 ratio, to facilitate efficient model training and benchmarking.
+    - Use Cases: Ideal for developing a wide range of OCR models - from basic CRNNs to sophisticated models like trOCR.
+    - Accessibility: Hosted on Huggingface, ensuring easy access and integration with various machine learning frameworks and tools.
 
-[More Information Needed]
+This dataset stands as a testament to Dr. Rakesh Achanta's dedication to enhancing Telugu language processing technologies. It is not just a tool for model development but also a gateway to preserving and digitizing the rich literary heritage of the Telugu language.
 
-### Annotations [optional]
+Researchers and developers leveraging this dataset are encouraged to adhere to the ethical guidelines of AI research and development, ensuring that the applications developed are for the benefit of language preservation, accessibility, and technological advancement in a responsible manner.
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
-#### Annotation process
 
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+- **Fonts Curated by:** Dr. Rakesh Achanta
+- **Shared by:** Krishna Sriharsha Gundu
+- **Language(s) (NLP):** Telugu
 
-[More Information Needed]
-
-#### Who are the annotators?
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-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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-## Citation [optional]
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-## Dataset Card Authors [optional]
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+### Dataset Sources [optional]
 
-## Dataset Card Contact
+<!-- Provide the basic links for the dataset. -->
 
-[More Information Needed]
+- **Repository:** (Original Books Dataset)[https://github.com/AnushaMotamarri/Telugu-Books-Dataset]