results.py

from fasthtml.common import *
from fasthtml.components import *
import json
from fh_plotly import plotly2fasthtml
from plotly import graph_objects as go
import pandas as pd
import plotly.express as px


##upsampling validation loss graph

# Data
steps = [5000, 10000, 15000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 
         55000, 60000, 65000, 70000, 75000, 80000, 85000, 90000, 95000, 100000, 
         105000, 110000, 115000, 120000, 125000, 130000, 135000, 140000, 145000, 
         150000, 155000, 160000, 165000, 170000, 175000, 180000, 185000, 190000, 
         195000, 200000, 205000, 210000, 215000, 220000, 225000, 230000, 235000, 
         240000, 245000, 250000, 255000, 260000, 265000, 270000, 275000, 280000, 
         285000]

fineweb = [2.911076784, 2.75819993, 2.647450924, 2.588769436, 2.565514088, 
           2.527409077, 2.506954193, 2.493706465, 2.478432178, 2.476668596, 
           2.467983723, 2.4843328, 2.439449787, 2.438807011, 2.426213741, 
           2.459792614, 2.426000357, 2.403300762, 2.399668455, 2.404176235, 
           2.39425993, 2.406329632, 2.381269455, 2.387765169, 2.373465776, 
           2.374938488, 2.379047394, 2.370839834, 2.351930141, 2.35353899, 
           2.356842279, 2.343327522, 2.335564375, 2.337301254, 2.322228193, 
           2.323165655, 2.309478998, 2.326301336, 2.314562321, 2.280953169, 
           2.291109324, 2.298957586, 2.282609463, 2.296112061, 2.286119938, 
           2.279724598, 2.268625498, 2.27303195, 2.254729986, 2.260175228, 
           2.248331785, 2.235989809, 2.241044521, 2.242579222, 2.216429472, 
           2.250077009, 2.224117756]

txt360 = [2.589649677, 2.438303471, 2.383416414, 2.337049007, 2.300292492, 
          2.29057312, 2.285922527, 2.265408278, 2.245058537, 2.24157238, 
          2.23307991, 2.232925415, 2.226780653, 2.222440243, 2.194804668, 
          2.210517406, 2.186522722, 2.185292006, 2.184529305, 2.185826778, 
          2.171881914, 2.182652235, 2.169103146, 2.162784815, 2.165525436, 
          2.159037828, 2.164080143, 2.143726826, 2.144924164, 2.138051987, 
          2.138092995, 2.120969057, None, None, None, None, None, None, None, 
          None, None, None, None, None, None, None, None, None, None, None, 
          None, None, None, None, None, None, None, None, None, None]

# Plot
fig_val = go.Figure()

# Add lines
fig_val.add_trace(go.Scatter(x=steps, y=fineweb, mode='lines', name='FineWeb-1.5T'))
fig_val.add_trace(go.Scatter(x=steps, y=txt360, mode='lines', name='TxT360'))

# Update layout
fig_val.update_layout(
    title='Validation Loss Over Steps: TxT360 vs FineWeb',
    xaxis_title='Steps',
    yaxis_title='Loss',
    legend_title='Models'
)

# Show plot

# Show the plot
validation_loss_graph = fig_val

## lm loss graph
# Load the data from the cleaned dataset
data = pd.read_csv('data/lm_loss_txt360_fineweb.csv')  # Replace with your actual file path

# Create the plot
fig_loss = go.Figure()

# Add TxT360 line
fig_loss.add_trace(go.Scatter(x=data['Step'], y=data['TxT360'], mode='lines', name='TxT360'))

# Add FineWeb line
fig_loss.add_trace(go.Scatter(x=data['Step'], y=data['FineWeb'], mode='lines', name='FineWeb'))

# Update layout
fig_loss.update_layout(
    title="LM Loss Over Steps: TxT360 vs FineWeb",
    xaxis_title="Steps",
    yaxis_title="Loss",
    legend_title="Models",
)

# Display the graph
lm_loss_graph = fig_loss


#Perplexity Across Different Buckets (global)
# The data you provided
DATA = [
    ["2014", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.410227605477868, 16.11176217183986, 15.632757662414805, 15.446116676532212, 16.716943171826703, 18.156821563322765]]],
    ["2015", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.446573602753478, 16.14852530113782, 15.627408549576069, 15.0055028132117, 15.565430373421485, 17.314701050452452]]],
    ["2016", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.307221780905284, 16.297702171159543, 15.948641884223639, 14.799690714225637, 14.935989931859659, 16.09585768919658]]],
    ["2017", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.338525603992114, 15.960924352297502, 15.912187993988933, 14.822102470001267, 14.778913482337416, 15.428145290012955]]],
    ["2018", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.08551151136689, 16.187802102106698, 14.935072408852303, 14.832038213200583, 14.508674264491997, 14.800605964649103]]],
    ["2019", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.818363305107052, 16.474269837858706, 14.944741674400241, 14.568394784374943, 14.690158822673334, 15.990949424635108]]],
    ["2020", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.98821894111693, 15.936494557783181, 14.79960386342691, 14.435682562274105, 14.58651834886038, 15.869365567783806]]],
    ["2021", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.125795647512877, 15.780419457145868, 14.631430892394002, 14.276477514399625, 14.337146941773641, 15.872474774329305]]],
    ["2022", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.573462144306383, 15.283018703313582, 14.378277745163881, 14.0611924390084, 13.9886330091318, 15.769421394877273]]],
    ["2023", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [15.4293630385597, 14.608379914730168, 14.118271697056592, 13.880215644749589, 13.767106666731275, 15.05749135510839]]]
]

# Extract ranges (buckets) and years
ranges = DATA[0][1][0]
years = [year_data[0] for year_data in DATA]
all_values = [year_data[1][1] for year_data in DATA]

# Create the figure
fig = go.Figure()

# Add a trace for each year
for i, year in enumerate(years):
    values = all_values[i]
    fig.add_trace(go.Scatter(x=ranges, y=values, mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Versus Buckets for Different Years",
    xaxis_title="Buckets",
    yaxis_title="Perplexity",
    legend_title="Years",
    hovermode="x unified"
)

Perplexity_Across_Different_Buckets_global_graph = fig

import plotly.graph_objects as go

# The data you provided
DATA = [
    ["2014", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.410227605477868, 16.11176217183986, 15.632757662414805, 15.446116676532212, 16.716943171826703, 18.156821563322765]]],
    ["2015", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.446573602753478, 16.14852530113782, 15.627408549576069, 15.0055028132117, 15.565430373421485, 17.314701050452452]]],
    ["2016", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.307221780905284, 16.297702171159543, 15.948641884223639, 14.799690714225637, 14.935989931859659, 16.09585768919658]]],
    ["2017", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.338525603992114, 15.960924352297502, 15.912187993988933, 14.822102470001267, 14.778913482337416, 15.428145290012955]]],
    ["2018", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.08551151136689, 16.187802102106698, 14.935072408852303, 14.832038213200583, 14.508674264491997, 14.800605964649103]]],
    ["2019", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.818363305107052, 16.474269837858706, 14.944741674400241, 14.568394784374943, 14.690158822673334, 15.990949424635108]]],
    ["2020", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.98821894111693, 15.936494557783181, 14.79960386342691, 14.435682562274105, 14.58651834886038, 15.869365567783806]]],
    ["2021", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.125795647512877, 15.780419457145868, 14.631430892394002, 14.276477514399625, 14.337146941773641, 15.872474774329305]]],
    ["2022", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.573462144306383, 15.283018703313582, 14.378277745163881, 14.0611924390084, 13.9886330091318, 15.769421394877273]]],
    ["2023", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [15.4293630385597, 14.608379914730168, 14.118271697056592, 13.880215644749589, 13.767106666731275, 15.05749135510839]]]
]

# Extract years and ranges (buckets)
years = [year_data[0] for year_data in DATA]
ranges = DATA[0][1][0]
all_values = [year_data[1][1] for year_data in DATA]

# Create the figure
fig = go.Figure()

# Add a trace for each range (bucket)
for i, range_label in enumerate(ranges):
    values = [year_values[i] for year_values in all_values]
    fig.add_trace(go.Scatter(x=years, y=values, mode='lines+markers', name=range_label))

# Update layout
fig.update_layout(
    title="Perplexity over Time by Buckets",
    xaxis_title="Year",
    yaxis_title="Perplexity",
    legend_title="Buckets",
    hovermode="x unified"
)

# Show the plot

Perplexity_Across_Different_years_graph = fig

#graph 3 tbd

data = {
    "2014": {
        "x": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300], 
        "y": [17.410227605477868, 16.28263447660928, 16.056605184079913, 15.822614148687798, 15.842634843649147, 15.720699070243016, 15.687223294726039, 15.607834732758393, 15.572091951204342, 15.475459290252376, 15.337665345612953, 15.33475421632639, 15.325861061422275, 15.476636737344972, 15.693804028233785, 15.689754199668954, 15.659926393713182, 15.59464057615171, 15.588725895678929, 15.552308157234252, 15.38315488135992, 15.3749391039699, 15.186437103290823, 15.179577016115116, 15.175359268463414, 15.326051392123386, 15.550365066676973, 15.46274973581214, 15.675382592723022, 15.6083647300616, 15.775496160899257, 15.619470488458068, 15.630267399750903, 15.687059334218864, 15.415897825337026, 15.499602281425519, 15.598025850718154, 15.628460503669615, 15.658570343618969, 15.787877514096849, 15.710944180881294, 15.552274945554545, 15.699932540053279, 15.727560356232173, 15.599824119717585, 15.683275006354283, 15.641738631258287, 15.80315709908002, 15.706620536337898, 15.700588878168745, 15.911432681730176, 15.550009275425229, 15.822384367996918, 16.105816904042662, 15.562383488563118, 15.963855835984134, 15.852621368738493, 15.941133570933058, 16.188290366801112, 15.70084365155994, 15.609990413956307, 15.673631920556218, 16.006611785209323, 15.786230274505419, 15.433452154301659, 15.617135397912477, 15.640107157600301, 15.675806627110681, 15.671948319822476, 16.068440880032057, 15.769336862872192, 16.40254172818583, 15.940476853009686, 16.09877983788286, 15.495609182160944, 15.712818514069026, 15.61898546436921, 15.692158946904128, 16.493172099511007, 15.783765491247193, 16.055784648916596, 16.334082795006267, 16.176010490897976, 15.630577127947536, 15.905029905131835, 16.610640775886303, 15.245514025399112, 16.28252696514428, 15.435644188406563, 15.888062835224325, 16.250276704907034, 16.054194778686796, 16.620639801236162, 16.102213595669074, 16.09682778567417, 15.881305605266526, 16.217666050845356, 15.886905671039385, 16.420120825444208, 16.575208311709837, 16.57735734574608, 16.186575145468233, 16.043253935667327, 16.63513328173465, 16.39894567786065, 16.41214937220052, 16.493426793298827, 15.9907685927303, 16.340040345074534, 16.951414035127105, 15.885674447160902, 16.410931308490415, 15.964154315977636, 16.810589683350447, 16.745778707293876, 16.468627893278832, 16.138744388702552, 16.407068111214684, 16.69176851966938, 16.324663512055274, 16.433577086199467, 16.434498347983276, 16.70257568394254, 18.747662848672356, 16.321669513149416, 16.69707440155245, 16.900596553383878, 16.68130890408306, 16.59473760593977, 16.54783975654349, 16.88654672752656, 16.078918331814624, 16.299820079993204, 16.373797255734377, 16.866705899661024, 16.397749521656102, 15.963898354324714, 16.82397059101694, 15.93018673258056, 16.98101514795396, 16.159948488588498, 16.726848882847232, 17.07683842070863, 16.113967724590644, 16.15130250991399, 16.80200457395006, 16.497186754611253, 16.666948876534608, 16.27533407301657, 16.308682326270063, 16.49999383144354, 16.359445800006256, 15.96150693135751, 16.60238027701047, 16.852103553279054, 16.521323558607705, 16.892194162833896, 15.693912585511482, 16.941903323105247, 16.480018831423866, 15.994720828335334, 19.96982983642109, 16.5613669780375, 16.410472896702814, 16.930635781928018, 17.307088122382734, 17.141450875814638, 16.793262685672637, 16.898963500457878, 16.034046523941534, 16.535173078962604, 15.623283937530607, 16.9146472987719, 16.710942224491752, 16.986982069138335, 16.094316754584177, 16.828775635709547, 16.087671276732564, 15.85332219694136, 16.48892512748128, 15.947276977857264, 17.071060205585102, 17.024065382461824, 15.924022369577948, 15.155645181021022, 19.43284882900329, 18.262079233670903, 16.72008178909451, 16.191840443840587, 17.202976578718893, 18.073639551374267, 16.211906986032727, 16.893893336751606, 16.459697938511802, 16.340211536130877, 17.323792190608398, 16.166587611972542, 17.10118411108414, 16.87592915776603, 16.22000303371821, 17.099521471855354, 16.65188809044026, 15.439452520219506, 17.1238180228351, 16.822849013604262, 16.573524603379, 17.943366953648695, 18.61078665129674, 16.781687468016873, 16.277476841130934, 15.656708089753856, 16.93898908638033, 17.165185636822365, 16.88121672323756, 16.662421334264874, 16.351884226195278, 16.409706698188405, 17.36934322952571, 16.42350307052468, 16.644262788006284, 18.645487431486863, 17.45592775934621, 16.58861831024693, 17.826687228059075, 17.717259497674252, 16.173776963074275, 17.81471375669573, 17.043108559597915, 17.447724642873848, 17.245380090633933, 17.159851613935718, 17.06408636418627, 17.636831200319357, 17.226401140951793, 16.89171092276326, 17.27705035910921, 16.42925715421899, 17.297253521528557, 17.152355698826447, 17.673683744959348, 18.04475478619425, 16.737975421424565, 16.86577082453459, 16.863767158267972, 16.384443285083982, 16.461263048130785, 17.02229949930192, 17.101654001031108, 17.356582073600375, 16.344481856681604, 17.17676991586537, 17.185069687958347, 17.56978076611228, 17.438405238494422, 16.801320242413205, 17.283593618974137, 15.979660333719643, 17.530455106750154, 16.192472201610578, 17.392028244723697, 17.502518627885713, 17.407844930629604, 16.696324269027805, 16.03847705843595, 16.23747483686068, 18.737873580931968, 17.86589992376309, 17.25159517234638, 15.618977309780984, 17.21762645376281, 16.869727185054728, 16.96866468612357, 17.412146418998862, 18.090503138314943, 15.752757796291071, 18.160108290669523, 16.495087053440795, 17.89917434478209, 16.704112151245884, 14.966161599960373, 18.271963637296526, 17.495885294624035, 16.876079860453665, 18.868793874875955, 17.23085150515865, 16.817181665750674, 17.24528354632844, 16.338842229657274, 14.433218936285867, 17.32290971310563, 17.641663765189666, 16.756405276984953, 18.144689315919752, 15.468462735891627, 14.740977777972642, 17.74261979627107, 17.1782285639448, 15.146783133278753, 17.987671541660372, 17.24769683193406],
    },
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13.670103747374988, 13.62246956240464, 13.658574692934657, 13.65219324836813, 13.663836335892329, 13.666948307267594, 13.642643510414398, 13.672961601819406, 13.663525877548398, 13.667436573958156, 13.687522639036205, 13.647544546546508, 13.670704172336292, 13.643000490240736, 13.667107110344569, 13.660218070172265, 13.675550822990397, 13.59092599672469, 13.619850375757148, 13.651551988902462, 13.684288098100867, 13.599046453546292, 13.580905963181452, 13.620956017533885, 13.648408527460056, 13.60249514150298, 13.568078301644128, 13.6145797181229, 13.647719674647586, 13.531493703586886, 13.609260600121146, 13.687447710013837, 13.602215210547463, 13.563220813507392, 13.57176728376717, 13.664222431811334, 13.586259696651297, 13.571127927324502, 13.692682818016978, 13.599437831977406, 13.646024625160337, 13.645231022004468, 13.582760709524955, 13.597408008025921, 13.640791164279545, 13.58016693386471, 13.664139165839629, 13.553901320176095, 13.616471379535914, 13.574418885444663, 13.62049913139043, 13.595296717779055, 13.618520397945241, 13.619083853308746, 13.549404239296155, 13.515187660214737, 13.728226318739061, 13.618609127026419, 13.638021829042664, 13.684199453984574, 13.707676555543845, 13.541617144639595, 13.703834138276244, 13.519323579997998, 13.6031555746482, 13.56414632339735, 13.711610914557605, 13.529701508251849, 13.631734977501925, 13.657120297408555, 13.58489249685537, 13.64403630157245, 13.608235747585796, 13.512110498832085, 13.846959297419959, 13.488917791046676, 13.696834245583917, 13.61507766454769, 13.565377802829648, 13.790197786574588, 13.564346823139237, 13.5342157764538, 13.65148446769962, 13.570646849759997, 13.538878864721305, 13.608980817839505, 13.664477237928127, 13.532411719398455, 13.737437273256564, 13.519816331488395, 13.764368990604515, 13.653588472445573, 13.5302540795639, 13.57561188810073, 13.647608383912683, 13.728643890026184, 13.710097008284352, 13.75589344505474, 13.682502650080487, 13.684339202206958, 13.86749342599449, 13.645786331176726, 13.660817039716257, 13.638011389586667, 13.732387353692099, 13.687686391049773, 13.94728981311995, 13.614547412507926, 13.460552695752389, 13.857074456574574, 13.660326212827487, 13.718393121459215, 13.76973846040823, 13.778762864123724, 13.656959991670522, 14.214462072816556, 13.622739420457773, 13.645227120727897, 13.687497326712435, 13.649272554141808, 13.503550000252996, 14.052494437028535, 13.580311058963396, 14.14017314736784, 13.64182000911326, 13.886936632170794, 13.942674178813384, 13.801754161915504, 13.931144818346747, 13.584651322907064, 13.960391830857033, 14.178873989248789, 13.645923431288137, 13.97423140921055, 13.669569353257327, 13.915331700422486, 13.827145087821776, 13.736836827537942, 13.74766543270326, 13.770318536193258, 13.721033560006754, 13.710191655241298, 13.72744974500201, 13.845900599098753, 13.678446729208007, 13.902643304888189, 13.885717101405227, 13.800092557910519, 13.421930828385424, 14.22006344809192, 13.879986040380091, 14.134020605148754, 13.828712030750555, 13.713190050100788, 13.670401789346878, 13.948423234333882, 13.84481181587886, 13.818908981670926, 13.74582730003707, 13.94097096205736, 14.180988587482524, 13.792218775776533, 13.684855627228844, 13.881739174231223, 13.998746647008945, 14.576445279868192, 13.977974630190932, 13.537548783758675, 13.793279757360363, 13.712674433009878, 13.758696209000801, 13.912382937440464, 14.340144810498328, 14.03279240397904, 13.889996587251982, 13.862065986515601, 13.712302898403514, 13.797613183843772, 13.847295441275936, 14.422108283887903, 13.900169262027397, 14.247783256416513, 14.02056653491548, 13.99526374998638, 13.69358071050138, 13.828640744267325, 14.01321596237364, 13.824657271537166, 13.683602248925892, 13.933987455146445, 13.993921243916123, 13.720966315955001, 13.890770809341586, 13.426961283787957, 13.789886238259456, 13.904131224083592, 13.697354217113691, 13.710497864728065, 14.683006531539148, 14.315759264484964, 14.034699751802846, 13.890948305458895, 14.038907287423818, 13.298757873288494, 14.037824844116592, 14.162250808384407, 13.947058195824253, 13.806653590867487, 13.980386450979841, 13.667273172120268, 14.201737731565034, 14.447849496372461, 14.018697147254176, 14.002315381014313, 14.15231239942244, 13.73719042552595, 14.033594655653038, 14.03087108296539, 13.782578520604822, 13.660908086958573, 14.205910336717215, 13.930322566343703, 14.300591211697906, 13.808749910964323, 13.8076208806989, 14.169819824542373, 14.067537576689853, 14.306124453553517, 13.56827905088618, 13.592634469105525, 13.789396713937975, 13.853464456609156, 13.855768885291056, 13.710464058237172, 13.641314331273772, 14.295528532894258, 14.04977108393012, 14.153384726345907, 13.385524853965638, 13.484650040422745, 13.831061312642468, 14.15298734516191, 14.20289531849528, 14.116529526532855, 13.767652893233096, 13.715924776449405, 14.649027392365024, 13.603310028324861, 14.10228343978809, 13.704762155010586, 13.731715455443299], 
    },
}
for year, year_data in data.items():
    fig.add_trace(go.Scatter(
        x=year_data['x'], 
        y=year_data['y'], 
        mode='lines+markers', 
        name=f"Year {year}",
        line_shape='linear'
    ))

# Update layout
fig.update_layout(
    title="Perplexity vs. Number of Duplicate Documents Over Years",
    xaxis_title="Number of Duplicate Documents",
    yaxis_title="Average Perplexity",
    legend_title="Year",
    hovermode="x unified"
)

graph3 = fig

##graph 4

# Data
data = {
    "2014": [[1, 2, 3, 4, 5, 6, 7], [16.82572561037536, 15.568688184472002, 15.81492345088457, 15.206355227978303, 14.957766124315622, 15.0626618458479, 14.868694970954875]],
    "2015": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [16.89591942700286, 16.065453332424525, 16.27127382267357, 15.98729389349345, 15.820859416672139, 15.607600911192797, 15.110138119917048, 14.775887397593593, 14.660655022362318, 14.588547400309, 14.55020529201701, 14.60127048285861, 14.629467286160864, 14.724440862889]],
    "2016": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [16.937063110995666, 16.159401045667217, 16.24178377816029, 16.073494730595225, 15.774737597940442, 15.621947075605162, 15.652955728810767, 15.490807185265608, 15.107547930881259, 14.976802818244652, 14.84517846815987, 14.839768640933237, 14.794471716989547, 14.63826024444852, 14.57725826735028, 14.446983381957654, 14.357863327746747, 14.370146480850329, 14.207796791759758, 14.067617540013867, 13.968037234662484, 14.015386030957798, 14.240341030736081]],
    "2017": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [16.731010662045737, 16.534529481773635, 16.624818021435388, 16.6027968727952, 16.309053610063657, 15.897351021398148, 15.28125612085656, 15.247650153402024, 15.254523671401472, 14.914419299947483, 14.734687782223004, 14.78413990847839, 14.632065773173599, 14.553246204352645, 14.566566717229817, 14.598997883895558, 14.630837564582592, 14.577208610859856, 14.519413074334954, 14.378498447103155, 14.230943065441672, 14.21486380216727, 14.267422050116286, 14.281606945252474, 14.285535565035358, 14.267266452303197, 14.183136371592417, 14.148268300539986, 14.21036055571916, 14.403658436211263, 14.07740471177247, 13.978242496152737, 14.002633023111342, 13.921442192327655]],
    "2018": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46], [16.36546565307699, 16.40198820766892, 16.223802437472045, 15.876190858008776, 15.67866795074444, 15.06202559354935, 14.90395971116697, 14.678203166785968, 14.584307457124408, 14.566603376547835, 14.716527825876883, 15.325114798824192, 15.153635738494962, 15.02749650458142, 15.001501640976104, 14.928437622685198, 14.82066263298361, 14.821925418558614, 14.766538823073754, 14.742836908980854, 14.56365471694568, 14.676889493065413, 14.554327268897188, 14.532997117657752, 14.424665661602356, 14.498427111442304, 14.503622356394782, 14.465294436509943, 14.238209588803269, 14.138531026657803, 14.11633073136879, 14.139167312709546, 14.018054330979824, 13.99555243574117, 13.944770385859002, 13.893353445566834, 14.062344563726617, 13.93602183204734, 14.021518977400955, 14.205273479299835, 14.476114932821364, 14.707612238290547, 14.403724822460271, 14.134464626849528, 14.444143421676507, 14.372513155481114]], 
    "2019": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], [16.430122616908218, 16.959894024725404, 17.530494343918114, 16.868158683774006, 15.881925908038214, 15.534071764082064, 15.131599277920825, 14.912091189771328, 14.670101527122705, 14.591504400695127, 14.405999306200146, 14.445437111619501, 14.460150974610382, 14.484377024024335, 14.454923933668082, 14.419367200283267, 14.413528998792588, 14.362242243379736, 14.326113076490996, 14.296366861932851, 14.241137636937816, 14.199018730937293, 14.229939247452181, 14.136900232594229, 14.118747592622253, 14.084639441555339, 14.215359965064522, 14.321335291582407, 14.324483466296755, 14.22250351319463, 14.086153725088337, 13.835546707594524, 13.861133395338289, 13.943395906095482, 13.924621051048792, 13.978711084778347, 13.905837106100599, 13.895058375110484, 13.965442215811176, 13.960110799963521, 13.99641930380663, 14.036529641608142, 14.138294825947872, 14.3360579115842, 14.381214824082278, 14.389155929858507, 14.645175007732961, 14.477402464547152, 14.51444505845359, 14.452153618691407, 14.369430039316658, 14.777857326947053, 14.919588044831785, 14.44053007434645, 15.18596756335163, 15.362545102466955, 14.19095014510728, 14.974116009038374]],
    "2020": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67], [16.370879996210345, 15.8912555858172, 15.30157381561316, 15.461362783916728, 15.499602726814674, 15.329200065422526, 15.15238010628145, 14.763158730707703, 14.554444724050978, 14.391542531017906, 14.36062417910266, 14.38408773153761, 14.326398992080678, 14.30559398460406, 14.296620966953196, 14.257641523080219, 14.239785079623704, 14.257963344315925, 14.242187947481078, 14.227247960684823, 14.246528806504662, 14.218691858857001, 14.119027315863725, 14.16049126937658, 14.1393355330565, 14.045446781499932, 14.157717833319223, 14.118844952908322, 14.196031529646438, 14.213151244097208, 13.961708881578405, 13.933434907040512, 13.851967361230258, 13.837032186918211, 13.83609308408103, 13.74084041793037, 13.725470779946555, 13.828238575588477, 13.821753201986834, 13.81152543072784, 13.848104780631868, 13.867032605563987, 13.91567734841802, 13.951714207206178, 14.049401288158215, 14.000020142532282, 14.097054408814992, 13.973915015915077, 14.001305792897133, 14.144447551433583, 14.259794771973013, 14.451580305620148, 14.51523695971965, 14.491781843544896, 14.282130970472108, 15.107471010795585, 14.507809743534436, 14.521069179252333, 14.434674191986367, 14.608533166251355, 14.638444470251414, 14.533496524040576, 14.798278071146985, 14.426231926251468, 14.697215649677831, 16.000970311873413, 15.962112261396376]], 
    "2021": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [16.40998076014569, 16.214064988829055, 16.102423371338, 15.61960664445389, 15.365806380257993, 15.258505702187641, 14.987691202287733, 14.702934989974425, 14.47618699872759, 14.27294780183996, 14.149902488372312, 14.205153888507418, 14.180406523176302, 14.179162306409303, 14.148172641684653, 14.146789562089962, 14.13207546325995, 14.095045629570848, 14.11059784727951, 14.099774964675055, 14.123404475264994, 14.04205645064162, 14.071957340879374, 14.076002230293538, 13.997579723886533, 14.055982816834012, 13.969566421026498, 14.044197137615983, 13.970800321234117, 13.991254850488748, 13.882773884993162, 13.878676595695538, 13.738534890032913, 13.731264526843741, 13.743931319054433, 13.744385448034985, 13.654269807446708, 13.649793785589242, 13.659669286701138, 13.70981039304929, 13.706017327034093, 13.793638036031938, 13.820253019972634, 13.895844222751752, 13.805532005211788, 13.879969410141696, 13.918667434527839, 13.905080860878972, 13.928649229766597, 13.92971106121914, 14.027211058825408, 13.869387194129342, 14.002439547556614, 14.197189244986761, 14.171599593405029, 14.189026952927275, 14.317088413682809, 14.266884102594418, 14.419819049388389, 14.394102801112203, 14.28486572885178, 14.463889605992794, 14.33813105749612, 14.49991185507524, 14.143521529230846, 14.020378845184027, 13.929518285869944, 14.785566241242854, 14.273112202537183, 14.214773231874327, 15.148250280334482, 14.563912283938823, 14.552655401047055, 15.103655560583926, 15.10169368308145, 15.51226670578053]], 
    "2022": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [15.816438075969113, 16.09580666529207, 15.996333190110686, 15.943848815283268, 15.656093894572393, 15.117394092950262, 14.78287160043243, 14.543141634926663, 14.305058018637094, 14.125611753367533, 14.020067247129745, 14.009478965058692, 14.001669618595649, 13.985248005578073, 13.973728782674742, 13.977117237954532, 13.937202607945661, 13.935625722728988, 13.910945770197134, 13.893835251097759, 13.89679037463924, 13.881064193374637, 13.904299030382344, 13.904090626213797, 13.888526913768459, 13.838568567514612, 13.829178463025315, 13.835043064902585, 13.81757570730985, 13.776370281729609, 13.762638676519028, 13.755074572847866, 13.70045870380896, 13.636805800875507, 13.621671132216942, 13.633589926779942, 13.602080944483301, 13.555848610415586, 13.558904660155596, 13.515784046498322, 13.609062507319349, 13.583137427458137, 13.483909540769114, 13.552547586090368, 13.598431457952788, 13.553603210491028, 13.57678073518515, 13.638974685844074, 13.536340332636364, 13.665029112653803, 13.792584632059397, 13.694618901117751, 13.76826442085512, 13.712141215124436, 13.606927085734855, 13.715251358141709, 13.832372298562165, 13.833057817510603, 14.158282794215733, 13.720855464980609, 13.803417413649743, 13.969854384335488, 13.892171370159991, 13.778269401162506, 14.338216122354686, 13.954993084366778, 14.124621205791534, 14.23737489353975, 13.735373769168353, 14.680642990647039, 14.955805632680471, 14.657580957949671, 14.515390831490835, 14.664661248141265, 14.497750142907295, 14.662641057721332, 14.889760996859867, 14.044358215057608, 14.201835355776206, 15.739648390380614, 16.209835613545337, 16.152241961523004]], 
    "2023": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87], [14.789164834058647, 14.816940361326127, 14.859128791010018, 14.874353138456074, 14.799558338831533, 14.521955875294703, 14.344439116861626, 14.188768591243738, 14.068214649484007, 13.975247139727212, 13.892361806680233, 13.873812682757855, 13.855623423924795, 13.834034581531931, 13.820704041290954, 13.809345726828388, 13.799809305012891, 13.783733425983497, 13.777650159371621, 13.769295261894937, 13.759922637457876, 13.763157283741176, 13.746892077566258, 13.76043892787152, 13.780799936451544, 13.769219249583701, 13.776107653632701, 13.791395904208231, 13.796017873163873, 13.793511195440795, 13.752832872061946, 13.744140909741626, 13.708291014183953, 13.71791539682566, 13.687888739966342, 13.639779981608498, 13.60820604942688, 13.647619221630219, 13.586732110007599, 13.578824230397977, 13.56286775189147, 13.54887132723798, 13.528005768240323, 13.562278263274335, 13.50423334091739, 13.534814940452101, 13.500524731734556, 13.50415611423685, 13.539792624454682, 13.524280636462276, 13.508635254011224, 13.559898859515048, 13.52340866000508, 13.580987242413414, 13.55406078682323, 13.51949982056399, 13.554946096777044, 13.582384634669271, 13.596405485832927, 13.56397157046417, 13.50076890156882, 13.5996552161972, 13.640177272640555, 13.488306430506505, 13.561144538501607, 13.538229936728902, 13.523274401746107, 13.549803559768709, 13.473822808409837, 13.604196078834873, 13.495970010370977, 13.511897788189435, 13.480753572940852, 13.790758773339501, 13.507154643917646, 13.451282820788672, 13.690887252346345, 13.752272760476266, 13.844969190718858, 13.547043033265561, 14.011397551896307, 13.686917203544905, 13.87527368747695, 13.86828531076653, 14.200910595590095, 14.228639023300655, 14.830844952562549]], 
}

# Create figure
fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values[0]  # Dumps duplication count
    y_values = values[1]  # Average perplexity
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (global)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph4 = fig

#graph 5

# Data
data = {
    "2014": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.993513389984585, 14.011578085529056, 13.85873136108517, 14.36377987125267, 15.699475274542996, 17.613998844460845]],
    "2015": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.471687658163091, 13.778144432139904, 14.021706888859466, 14.434268636964038, 15.738483406741972, 17.840661656870072]],
    "2016": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.438546004899326, 13.785269267918505, 14.181493168285378, 14.616607805125264, 16.2678738383595, 18.109357061988614]],
    "2017": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.567324655164636, 13.93914285288248, 14.443292405833132, 14.749691886458645, 17.212768319133406, 18.09921482533539]],
    "2018": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.79413309579284, 14.047920703385312, 14.732393204862687, 15.245556746489475, 17.523092460922793, 17.979494192145445]],
    "2019": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.755894620552562, 14.061328527771183, 14.921709511248036, 15.746644701243795, 17.6501867538675, 18.65346532837317]],
    "2020": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.808975955128705, 14.075864850752456, 14.857958945409392, 15.491042607097183, 17.423084409503307, 17.519155049505677]],
    "2021": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.97373049489925, 14.044277002343486, 14.943719820749207, 15.730257843247038, 17.289265921502192, 17.00252056705296]],
    "2022": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.865869368871065, 14.028544413850119, 14.920117888974543, 15.693608290158098, 17.33525765189499, 17.724085896005107]],
    "2023": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.499660832882716, 13.98118612654411, 14.86417535071986, 15.440738449977292, 16.94447963146979, 16.40768745134217]]
}

# Create figure
fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values[0]  # Buckets (duplicate count range)
    y_values = values[1]  # Average perplexity
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Buckets (local)",
    xaxis_title="Bucket (Duplicate Count Range)",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph5 = fig

#graph 6

import plotly.graph_objects as go

# Data
data = {
    "2014": {
        "x": list(range(1, 88)),
        "y": [16.82572561037536, 15.5729544573954, 15.76916326514348, 15.186302038671778, 14.936809838870326, 
              15.001743417469209, 14.864349796797914, 14.66090559477578, 14.50521188055062, 14.429989457983405, 
              14.44107090883399, 14.523867649934015, 14.515728033558386, 14.52893012438083, 14.3872701582485, 
              14.225935934612775, 14.161270385625249, 14.193552536884559, 14.107559093534066, 14.045872060793387, 
              13.98606116940174, 13.996535021107574, 14.068451357323962, 14.095424742580935, 14.104930415857556, 
              14.164512298046297, 14.205441475464172, 14.190478352923273, 14.080583365838212, 14.017757335246573, 
              13.914391577020234, 13.860680803527211, 13.709718483172745, 13.671102868173037, 13.641967377585344, 
              13.610477152664181, 13.589404166531697, 13.574364349432603, 13.588675304139612, 13.608431855502594, 
              13.602022539289871, 13.577550630742646, 13.5388901112764, 13.586266218232485, 13.543364159175262, 
              13.530598188250648, 13.5415846166861, 13.518331785106323, 13.533012163841759, 13.505063315507076, 
              13.546433152010087, 13.571041150558058, 13.538517630502037, 13.589716598763259, 13.542375131110317, 
              13.551229472032986, 13.577615792486487, 13.580265758570304, 13.611791663131656, 13.563252675321158, 
              13.496554744217198, 13.573611486889268, 13.619417346323402, 13.500110681053787, 13.606494277444822, 
              13.51758492586705, 13.509290876196683, 13.637653184648098, 13.453927168439604, 13.677712744726351, 
              13.586150504785195, 13.508649309624724, 13.427111951862848, 13.800940000499685, 13.540635679680195, 
              13.506572883300588, 13.723957125925423, 13.69941910754067, 13.830916622405972, 13.61477646698581, 
              14.050670659742897, 13.707871486489617, 13.879222794014064, 13.838270894748867, 14.189041030733511, 
              14.221410654489386, 14.830844952562549]
    },
    "2015": {
        "x": list(range(1, 88)),
        "y": [16.89591942700286, 15.993069023056673, 16.243349252734195, 16.110419584106467, 15.982982023217136, 
              15.780412452462956, 15.311492684065183, 14.985452841100962, 14.736003632647204, 14.643740634573437, 
              14.581818722981641, 14.61206887509358, 14.60310477647637, 14.58283877743656, 14.456739625003323, 
              14.371166857791525, 14.31983561927552, 14.324744175103753, 14.230377570291408, 14.172400195643684, 
              14.074979303784101, 14.06637978929149, 14.129765267158923, 14.144182701579643, 14.127393749297303, 
              14.170954937339665, 14.198905272060887, 14.177619224859075, 14.073073703918407, 14.014468948454157, 
              13.91281662387792, 13.866047771993978, 13.718029097387152, 13.680243640703553, 13.648583428855366, 
              13.620824659009545, 13.599252706541842, 13.582576892167687, 13.59570512552313, 13.620006512175056, 
              13.61371460828329, 13.58747315850088, 13.553159834309662, 13.595855683037627, 13.555194351409998, 
              13.545131292437988, 13.55533031134806, 13.53176578053929, 13.545627399503374, 13.52324264159441, 
              13.56019390924936, 13.584765148382376, 13.567436274268637, 13.613633832001781, 13.56834903785532, 
              13.564886395063189, 13.585588042180726, 13.59211972866627, 13.636661940057897, 13.583630103422175, 
              13.517621040928827, 13.621723155241801, 13.644527863238189, 13.52150990576411, 13.63020958334669, 
              13.54428783928786, 13.53725206048877, 13.647484409192606, 13.490519893023992, 13.683557383784123, 
              13.623112173204985, 13.558759376238477, 13.498783050518579, 13.848023903419993, 13.565373956282203, 
              13.524041036650617, 13.747948319462374, 13.741843984167335, 13.851135619804712, 13.592769333513887, 
              14.059753132138649, 13.714031759165366, 13.87123035917049, 13.863386012094978, 14.205561271109257, 
              14.22054632648026, 14.830844952562549]
    },
    "2016": {
        "x": list(range(1, 88)),
        "y": [16.937063110995666, 16.13008897039131, 16.461262248281052, 16.22524701869722, 16.07512945589454, 15.81169518738005, 15.401255747943388, 15.290536877276061, 15.189318784104037, 14.892680148096144, 14.874941231589043, 15.197590171491255, 14.874108876718813, 14.772934695761471, 14.717224961147101, 14.579633089306332, 14.50655782645537, 14.435927961362305, 14.348044387963261, 14.266921166623963, 14.175146176030633, 14.155440421923364, 14.193605317227636, 14.198019720781069, 14.163648287310021, 14.204946332399512, 14.22475496545738, 14.204790263028082, 14.093780256147781, 14.034401436018054, 13.932675009733511, 13.882052276281941, 13.74135284070189, 13.70495830877455, 13.67945861250605, 13.646286996486673, 13.62871684949669, 13.617194154766194, 13.625737566495989, 13.647397208854517, 13.644435990272989, 13.61908161116556, 13.579719730143186, 13.62432154955091, 13.586802920088218, 13.575059311720242, 13.583160915709527, 13.560181345211744, 13.568315314106055, 13.572213203030019, 13.592269857254504, 13.615523084934742, 13.59675061839986, 13.652762841246345, 13.605972800137922, 13.599797687151108, 13.61588443406148, 13.635017100727426, 13.67797680326676, 13.61550407767841, 13.549525029810649, 13.646426348264216, 13.685855644417883, 13.557730732623456, 13.654494917893674, 13.598966492740331, 13.596850824269557, 13.67606211623268, 13.531829321066132, 13.736041595486006, 13.66155540112554, 13.622341728732476, 13.576672515819212, 13.865689693447742, 13.593823653503895, 13.549026603238106, 13.757031791888123, 13.764537976595522, 13.887154797262793, 13.612757682949674, 14.062295065487943, 13.702773103249053, 13.887824206090368, 13.868971352456365, 14.206954791830077, 14.23126212995893, 14.830844952562549],
    },
    "2017": {
        "x": list(range(1, 88)),
        "y": [16.731010662045737, 16.66489684871436, 16.568296606954515, 16.437855314705402, 15.977926296110395, 15.325063337637374, 14.928282696800443, 14.738959466164316, 14.615199372327732, 14.491701731769748, 14.38837234689295, 14.579509085357541, 14.486096782010588, 14.386514742964506, 14.328783257345318, 14.247944995447972, 14.19065895107961, 14.17354382678591, 14.151039883117742, 14.102188877847754, 14.076004337973803, 14.044354444990084, 14.021645356806046, 14.030621721602873, 14.020477810045843, 14.031701258052667, 14.04171400712978, 14.043074023094446, 13.995387210524175, 13.989640260692584, 13.926046401793304, 13.898066232753337, 13.796470656270547, 13.780012350603617, 13.751151287426516, 13.721059118625764, 13.704432047525122, 13.69302750426319, 13.691196863860615, 13.720022791468368, 13.713297481354758, 13.673499420782665, 13.640347860637759, 13.689388371843485, 13.642074890212623, 13.641953443289871, 13.639384501232673, 13.60468612819505, 13.615030447011026, 13.622517997479935, 13.636776517056651, 13.646713543499644, 13.642553869063399, 13.670086160771016, 13.629072087229995, 13.644023633211804, 13.662921343294622, 13.663979848619121, 13.72041962705924, 13.653883587863746, 13.598487708047587, 13.679216506372514, 13.729500926935524, 13.59184630155257, 13.670119193506638, 13.606578039356629, 13.58912160797548, 13.662329284657567, 13.534494438724048, 13.673846450840824, 13.63996498360781, 13.62694917771645, 13.569375400530905, 13.86109411358942, 13.573009950696505, 13.521398904176095, 13.737765136250907, 13.73947064730135, 13.851957566097216, 13.591944403455463, 14.047275913134344, 13.706497861963147, 13.8752419700006, 13.852410962776265, 14.207173465915606, 14.225732066062445, 14.830844952562549],
    },
    "2018": {
        "x": list(range(1, 88)),
        "y": [16.36546565307699, 16.45401827941957, 16.3552192563823, 16.073789764186234, 15.71971918795885, 15.261114192297178, 14.951234486665056, 14.689367076535861, 14.518128318670973, 14.390099476525092, 14.259121880707934, 14.322341013577667, 14.269149775349785, 14.22657504335791, 14.17831063712821, 14.129362751026134, 14.091233660298563, 14.065699851355896, 14.045897986269743, 14.009922933506038, 14.008946008943926, 13.986948087868985, 13.96676299568112, 13.974589147811011, 13.981182540647008, 13.988178680995725, 14.022037638217835, 14.067236496270958, 14.02773875655739, 14.008012013219155, 13.96047327707988, 13.941545910212922, 13.874283503971592, 13.872319571354534, 13.848819496944696, 13.818989807687052, 13.795278583261243, 13.805582941066566, 13.77608884517368, 13.808300541084458, 13.801215406173135, 13.77460925841957, 13.749962347541663, 13.788585819175475, 13.738353323889454, 13.748267848539136, 13.743909070082335, 13.70094253905992, 13.695566142077064, 13.715120021384273, 13.717879111446795, 13.729262136679193, 13.722322759559463, 13.741817617080867, 13.695797507509411, 13.7303223115229, 13.721142524694981, 13.731183807899438, 13.774251666658795, 13.703270226348065, 13.650013779539329, 13.737063911330598, 13.771299601507252, 13.61035413656345, 13.692911759706188, 13.645478213049078, 13.632427440948039, 13.685353855181187, 13.536951397436473, 13.722996576069109, 13.684668668827719, 13.654991978676541, 13.571293959475197, 13.901327051067131, 13.590409846183357, 13.555280671785631, 13.801358266402337, 13.759891436212222, 13.877447278904341, 13.601070277589484, 14.053793686670241, 13.74239252938787, 13.856380061979658, 13.86653563573893, 14.207967017152274, 14.2295264543635, 14.830844952562549],
    },
    "2019": {
        "x": list(range(1, 88)),
        "y": [16.430122616908218, 16.875051086326838, 17.248145032061572, 16.40581365808372, 15.774430714575988, 15.432767149001718, 15.145763219926579, 14.799558762994192, 14.497109888060386, 14.314004689580893, 14.165230875628717, 14.132599998200735, 14.112646717547443, 14.08981745552461, 14.071275351524006, 14.055953745980803, 14.036895611705631, 14.010822458772108, 13.994688510028434, 13.981568297524671, 13.973131490690857, 13.960851307613188, 13.950407299676206, 13.957766631077842, 13.963923860192619, 13.94968503524683, 13.95489134897448, 13.977622152992309, 13.976393846039631, 13.993956516762394, 13.953670292574621, 13.955101324894523, 13.921696126960061, 13.922513268517232, 13.904228567859588, 13.878944392338122, 13.836936389689685, 13.858488953034747, 13.826255387319108, 13.821733497321453, 13.810924551284534, 13.788436757401502, 13.768651883781944, 13.803381095808694, 13.749861429185598, 13.766023951467982, 13.755033569040371, 13.733275547786105, 13.72346431637034, 13.742887974648536, 13.737327971523658, 13.755247742270127, 13.742754785888708, 13.774345891745789, 13.728724104358966, 13.745302135799491, 13.734638471314582, 13.7609514564792, 13.779567132297817, 13.70364460650017, 13.66329614928825, 13.77103900712268, 13.794109949823657, 13.621080526861675, 13.685285026135551, 13.645675824035878, 13.640254544445797, 13.696632265084162, 13.557089062423215, 13.72744068935533, 13.685312250371716, 13.691487365024885, 13.609612243178898, 13.871590990738959, 13.602896495117179, 13.545298074232608, 13.754105324744064, 13.784568829720575, 13.848250131622855, 13.601751414645124, 13.999031818997702, 13.692806805453536, 13.82245603247244, 13.856124808569652, 14.187925457414872, 14.223944149123374, 14.830844952562549],
    },
    "2020": {
        "x": list(range(1, 88)),
        "y": [16.370879996210345, 15.889055037950405, 15.432190412594073, 15.505691782112706, 15.423788890368417, 15.240064903157505, 15.043391085766707, 14.761714938396674, 14.47962007552951, 14.234133021817758, 14.123336425923434, 14.080419066871459, 14.063393745363433, 14.051331002053393, 14.037897577554489, 14.041538161067855, 14.0145622985008, 13.995935362579743, 13.991791105247946, 13.983842732394558, 13.977020615720546, 13.966291155429351, 13.953143025987027, 13.969577694685832, 13.972274556692618, 13.967416689282992, 13.962867288546066, 13.983570820646507, 13.983105305183239, 14.007290834079699, 13.960017748248399, 13.97014807600787, 13.939131974855112, 13.931242142373641, 13.923784747364268, 13.884450633737517, 13.857702881178751, 13.86969533995838, 13.829427121984313, 13.834994065394055, 13.821808671828476, 13.790151002027123, 13.76907986225701, 13.797444154897008, 13.749256987787135, 13.766070221096518, 13.759434645334379, 13.731706353193822, 13.733304557490518, 13.740468199068971, 13.721036580994003, 13.756529386584269, 13.732150648873972, 13.763427764616013, 13.73375582951499, 13.719098308155836, 13.749579407257558, 13.79960240262951, 13.827660100575278, 13.713867309731741, 13.67110069190749, 13.813210464397173, 13.820210906230622, 13.646742569819427, 13.707821135028649, 13.694993324955234, 13.667868455414132, 13.744045961641467, 13.60673607296966, 13.735891876117867, 13.708771958501817, 13.68966975607113, 13.632689223663043, 13.935886970943438, 13.636130655693483, 13.612174548563797, 13.772534936472159, 13.807161877232101, 13.85457230058511, 13.663896751660037, 14.090271528268559, 13.73950346577504, 13.889399028025398, 13.875344815512134, 14.21697484183684, 14.23511142666353, 14.830844952562549], 
    },
    "2021": {
        "x": list(range(1, 88)),
        "y": [16.40998076014569, 16.131563389687667, 15.926483480935136, 15.698720075567504, 15.493215409831992, 15.18004517433272, 14.889295559356292, 14.61434191320944, 14.373082577547928, 14.186230894539502, 14.090058332837668, 14.023657754832897, 14.007435410828263, 13.98510741208859, 13.970141824822582, 13.969314479688267, 13.946015227855732, 13.928771902280433, 13.918094740825536, 13.904271041635251, 13.898094980435907, 13.884683163944276, 13.877957828236978, 13.901423741421022, 13.906131144086045, 13.902626593900637, 13.894640462593705, 13.918502460807465, 13.918292173412722, 13.936267540996683, 13.893769797887094, 13.89937529564544, 13.863770002450618, 13.867997609697417, 13.848933342732614, 13.815022252718682, 13.791564536076104, 13.785299092567266, 13.757852960538305, 13.756401654592215, 13.759718968653816, 13.733437497507486, 13.700263326582155, 13.741373305941403, 13.675414218993899, 13.706510616734628, 13.679167854117077, 13.691416726739856, 13.672658642514545, 13.70674777789251, 13.677889859468195, 13.696385833947582, 13.676118387776745, 13.712359839755743, 13.678461938862087, 13.655240869170136, 13.686341276950634, 13.718978062873198, 13.727316226517866, 13.656066612805246, 13.613789363715679, 13.743623408755314, 13.736977834220136, 13.602716719881093, 13.663563667635234, 13.62881219522605, 13.642571996285401, 13.684891127715069, 13.552729633336378, 13.722320681269425, 13.688784634409584, 13.681265629893907, 13.655688148500278, 13.889373816531247, 13.612825342345905, 13.606765349789637, 13.795350032043327, 13.82650292060858, 13.841286651582926, 13.657986925155127, 14.058341453040232, 13.751822923564026, 13.936886101042488, 13.90058603143137, 14.193189631919063, 14.225976069809075, 14.830844952562549], 
    },
    "2022": {
        "x": list(range(1, 88)),
        "y": [15.816438075969113, 16.120385966332037, 15.882429676047822, 15.754141510831133, 15.3879948181939, 14.847440397508679, 14.559122186153141, 14.392608974240208, 14.271479310233566, 14.151814366776497, 14.033446724531911, 13.971139835079242, 13.946657171368635, 13.923168976370057, 13.908213326289514, 13.903962921781009, 13.883435189687164, 13.868214256361957, 13.853316203275403, 13.850156274630233, 13.83800413007661, 13.828456929678238, 13.823667080256051, 13.837379627152984, 13.85468762648662, 13.842118819095077, 13.846068401970452, 13.866145193860882, 13.87683103331106, 13.883902318309158, 13.843314542816382, 13.848955212935406, 13.825679672773983, 13.825203585467685, 13.800650657685432, 13.771987156235094, 13.745277332204294, 13.74899618896188, 13.710350289788519, 13.699009636752562, 13.72574984380712, 13.69379612714152, 13.657631333739795, 13.687110795197487, 13.641654848107489, 13.68555427745178, 13.626523037803157, 13.656569173850187, 13.64357081552712, 13.655564923630237, 13.650126005189923, 13.66108116025011, 13.636544222792033, 13.663746867549065, 13.626176670833402, 13.59824157968966, 13.674717201935882, 13.694557928731372, 13.727707429817114, 13.657670720998764, 13.54889394004633, 13.69650375543492, 13.692110648403906, 13.55263976838036, 13.630076360505104, 13.593884835135345, 13.596113596592723, 13.602738980430088, 13.490250965065599, 13.698940481247519, 13.583385809300575, 13.60991931296976, 13.581332737838016, 13.824623548139833, 13.533893973585819, 13.533775394793583, 13.755699578934374, 13.759936297399996, 13.87244513763899, 13.616014488643092, 14.09812993251356, 13.710074602518604, 13.91784066420223, 13.912311265620039, 14.203969619716446, 14.255022778711806, 14.830844952562549], 
    },
    "2023": {
        "x": list(range(1, 88)),
        "y": [14.789164834058647, 14.780127256037884, 14.819678850556608, 14.733221736292204, 14.715123895744814, 14.569614305023329, 14.396346309952783, 14.267962672112828, 14.173985658599138, 14.070884007245896, 13.974284099164725, 13.918302031044524, 13.898843341205037, 13.879919458330534, 13.865098670719211, 13.851559827592494, 13.844906626448243, 13.827295800961403, 13.820810936762644, 13.809543815857673, 13.804536613446562, 13.804859924468062, 13.785889612091664, 13.802986923401033, 13.830453100698728, 13.816370948078971, 13.830157632336801, 13.839051100924063, 13.84746613758983, 13.860297269342437, 13.815378459306658, 13.812782079759149, 13.793416550465908, 13.815821643865219, 13.78691014152164, 13.740292216550131, 13.709841553660574, 13.745287154982947, 13.691633688757076, 13.67702798250515, 13.665734867137164, 13.660225685620617, 13.636580976940015, 13.658398179452709, 13.607051808944078, 13.641436611855841, 13.593798625450953, 13.61361178624699, 13.638190686281677, 13.646499055714083, 13.591038080776018, 13.622992917555028, 13.587839722276074, 13.630829824495837, 13.629461225299615, 13.592200956351647, 13.615680520490306, 13.630341745716859, 13.677426157763774, 13.626805264232148, 13.564525550141198, 13.67038341024563, 13.672981832082215, 13.525896811417093, 13.563993050553714, 13.611941675078645, 13.553760533281189, 13.59021111451196, 13.470082500603052, 13.59912543494902, 13.509683974597134, 13.521390742472398, 13.520602741034393, 13.725732516220367, 13.402650383856045, 13.482679094860476, 13.645693009561771, 13.775875527667997, 13.832068021284835, 13.498004659433413, 14.094763215759677, 13.660926796721734, 13.834609766490832, 13.863488794330497, 14.180579199558213, 14.222775721949759, 14.830844952562549],
    },
}

fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values["x"]
    y_values = values["y"]
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (local)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph6 = fig

#llama graph 1

import plotly.graph_objects as go

# Data for different years
data = {
    "2014": [10.036774097041135, 9.306693996275795, 9.442327622499175, 9.015408185880002, 9.94583162297666, 9.141712571508352],
    "2015": [9.46310273785878, 8.763464863196129, 9.075851726027564, 8.868392446242012, 9.113560631617027, 8.037411460181893],
    "2016": [9.41413706166537, 8.645126825996691, 9.527148465147846, 9.120345162203675, 8.9228845723255, 9.14052983061081],
    "2017": [9.50318602661455, 9.473904977192573, 9.755998086072951, 8.968012141869462, 8.895860780054043, 8.757970647106037],
    "2018": [9.007669062339426, 10.95829859145081, 10.128151243953157, 9.451949410987668, 8.863879736723902, 8.440366034517687],
    "2019": [8.388255660116407, 10.676105294328789, 9.728353939624842, 9.381837094065533, 8.401723232809463, 7.5705604983353325],
    "2020": [10.112246017864624, 10.255251179892559, 9.233548505479437, 9.25131862646364, 8.458532176757009, 7.4808205167223525],
    "2021": [10.239269162661959, 9.54987953569235, 9.067380903629866, 9.014261939731549, 8.14345667720481, 7.312019290288715],
    "2022": [9.931951075969451, 9.12737570591033, 8.995868137602248, 9.00805668763514, 7.882044010499616, 7.538858258386088],
    "2023": [8.646614152066428, 8.806922449908505, 8.816629232137835, 8.995152677487027, 7.737747701620713, 6.77703951001925]
}

# Buckets
buckets = ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"]

# Create the figure
fig = go.Figure()

# Add lines for each year
for year, perplexities in data.items():
    fig.add_trace(go.Scatter(x=buckets, y=perplexities, mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Buckets (Global)",
    xaxis_title="Bucket (duplicate count range)",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show the figure
llama_graph1 = fig

##llama graph 2

import plotly.graph_objects as go

# Data for different years and buckets
data = {
    "1-1": [10.036774097041135, 9.46310273785878, 9.41413706166537, 9.50318602661455, 9.007669062339426, 8.388255660116407, 10.112246017864624, 10.239269162661959, 9.931951075969451, 8.646614152066428],
    "2-5": [9.306693996275795, 8.763464863196129, 8.645126825996691, 9.473904977192573, 10.95829859145081, 10.676105294328789, 10.255251179892559, 9.54987953569235, 9.12737570591033, 8.806922449908505],
    "6-10": [9.442327622499175, 9.075851726027564, 9.527148465147846, 9.755998086072951, 10.128151243953157, 9.728353939624842, 9.233548505479437, 9.067380903629866, 8.995868137602248, 8.816629232137835],
    "11-100": [9.015408185880002, 8.868392446242012, 9.120345162203675, 8.968012141869462, 9.451949410987668, 9.381837094065533, 9.25131862646364, 9.014261939731549, 9.00805668763514, 8.995152677487027],
    "101-1000": [9.94583162297666, 9.113560631617027, 8.9228845723255, 8.895860780054043, 8.863879736723902, 8.401723232809463, 8.458532176757009, 8.14345667720481, 7.882044010499616, 7.737747701620713],
    "1001-30000000": [9.141712571508352, 8.037411460181893, 9.14052983061081, 8.757970647106037, 8.440366034517687, 7.5705604983353325, 7.4808205167223525, 7.312019290288715, 7.538858258386088, 6.77703951001925]
}

# Years
years = ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"]

# Create the figure
fig = go.Figure()

# Add lines for each bucket
for bucket, perplexities in data.items():
    fig.add_trace(go.Scatter(x=years, y=perplexities, mode='lines+markers', name=bucket))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Years (Global)",
    xaxis_title="Year",
    yaxis_title="Average Perplexity",
    legend_title="Bucket (duplicate count range)"
)

# Show the figure
llama_graph2 = fig

#llama graph 4

import plotly.graph_objects as go

# Data for different years and dump duplications
data = {
    "2014": {
        "dumps": [1, 2, 3, 4, 5, 6, 7],
        "perplexities": [9.73915022954687, 8.917501442736835, 10.870824235415164, 8.839485979263355, 9.114611185408386, 9.00595271327483, 9.069847072965578]
    },
    "2015": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
        "perplexities": [9.219127989173247, 8.610711104284512, 8.505043568675715, 7.990039784261444, 8.107957918641446, 8.796945238229792, 8.013223752027935, 8.890635712836795, 8.83059261426682, 10.04094169141142, 8.570752850736193, 9.003542320883396, 8.587190578806105, 7.983045509484727]
    },
    "2016": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23],
        "perplexities": [9.224890447512712, 8.982140506828461, 7.624091188629551, 8.97063321078077, 8.261724045845817, 7.793111396647548, 7.829316622145423, 8.597365842164928, 9.301981760525631, 9.66361415155858, 9.258511719598742, 9.441774097297651, 9.429412341325685, 9.325699904738741, 8.836147021549138, 8.607104273128627, 8.722839588316196, 8.920039351586981, 8.914454312645233, 8.899123060759182, 9.793833500279591, 10.134616145581552, 8.353063455545444]
    },
    "2017": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34],
        "perplexities": [9.488743166894329, 9.683975569858143, 8.654505727247006, 8.066421362212841, 8.395709115228499, 8.500311197527102, 9.10900254771213, 7.794618707693523, 8.059130491102199, 7.840987528913394, 8.94443662009675, 8.811736884161157, 9.395950762255111, 8.88696403862443, 9.064476456994532, 9.474527237081157, 8.91858984698398, 9.008242064314263, 8.840440114974651, 7.978242830053041, 8.653702083122754, 9.395390940155544, 8.644847872201382, 9.017641716864084, 8.731668787167907, 7.294766100138992, 9.116288498873331, 8.812157001137116, 8.229244256822179, 10.705494840702238, 8.4287361645181, 9.127134117671186, 8.418280990577143, 8.223315656547781]
    },
    "2018": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46],
        "perplexities": [9.896529727642656, 9.375668627700882, 9.53229676611742, 9.709666311696747, 9.371857870215996, 9.756320954898577, 9.3489352873219, 9.41874088848098, 9.220103832539115, 9.493717136086154, 9.894783254332049, 10.271325431375882, 9.444295310961042, 9.259722713114918, 9.121852071096205, 10.266770364074752, 9.322189177071575, 9.200133535506806, 9.391739906453976, 9.166754675924274, 9.386922783373333, 9.269174320074539, 8.921691129048623, 8.500872698966008, 8.427801104408742, 8.957096089538366, 8.843138224464884, 8.839757712227849, 8.730159045861498, 8.761283943113895, 8.955585790830773, 9.480108588809301, 8.975279317370992, 8.647350666497408, 8.040519395112794, 8.154306078995903, 9.047836211768528, 8.388013770335506, 9.27023552172876, 8.392778372966038, 9.698769530780428, 8.48774562040954, 9.832837942793894, 8.801856106666897, 9.090280166741453, 8.066384841477534]
    },
    "2019": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58],
        "perplexities": [9.32068228893817, 11.36279410700072, 9.729296413744873, 10.951540717951199, 9.571599362297537, 8.746033912439227, 8.911359607667526, 8.652716464937903, 8.90908579802875, 9.526405246155608, 8.84494033246573, 9.45556467668226, 9.61666194147301, 9.471820461436957, 9.385272422926384, 9.300484355205835, 9.374562863672638, 8.921445075261644, 8.457279643164815, 8.911117277418406, 8.076917631172464, 8.58392948648068, 9.138574660565174, 9.03583800697058, 8.706482138788626, 8.581302039813796, 8.567006611519137, 5.454819541045107, 8.380493341695487, 8.129823277176698, 7.346580306828866, 8.182982036096053, 8.03219664626822, 8.434163783307083, 8.148075720769123, 8.20825575224898, 7.7034049100948945, 8.319494286475098, 8.449794025203127, 8.40448676995273, 8.394065958286836, 8.431905407945235, 8.684778696918817, 10.170628597487527, 7.685742913353763, 8.317540224765809, 7.100457493121143, 5.389889122637774, 6.52302432138372, 8.895820543553361, 8.540964121500908, 5.823656104193133, 8.946389481295038, 8.03972593805594, 7.406476375508138, 7.434287132433397, 8.592981328562821, 9.803727252301018],
    },
    "2020": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67],
        "perplexities": [10.012609650486192, 7.943056443498068, 8.44096110442561, 9.029669769296477, 8.409724985539306, 8.731282990251563, 8.434833756562051, 8.497304934371442, 8.467244156051745, 8.606236488210545, 8.805728093624284, 9.375705002747582, 9.21767027458378, 9.048307919892986, 9.77562185114431, 8.730686261181575, 9.434356327584526, 9.119611839878791, 9.17722037907838, 8.569631235903184, 8.899794145233415, 9.315415673275877, 8.170599811786479, 8.538223762760031, 8.19667246899941, 8.740262061758479, 8.335448351341697, 8.321473204597588, 8.505543388481339, 8.552966240767482, 8.350236112276809, 8.109081033072668, 8.539929546398097, 8.535623890267809, 8.152345891530405, 8.399872141360548, 7.737922667873269, 8.15695720088359, 8.175043636189214, 7.595645045643389, 7.911222051300795, 8.645606075472527, 8.114112476153545, 8.054768997187903, 7.800103557084926, 8.096027154350947, 8.10653262234877, 8.029447458295808, 7.192697926255588, 9.370330492895473, 8.523467886567657, 7.313215625083473, 8.839958839301076, 8.656716147817143, 8.137974531785895, 8.523363904379156, 6.108894835851177, 7.818953624010673, 8.49431208395812, 8.342596121020756, 7.742470144320784, 6.682052985671971, 6.759804959168626, 9.093551460193316, 7.062030527371495, 8.434506543833649, 6.781692983120098],
    },
    "2021": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76],
        "perplexities": [9.841089195168713, 8.366233239891208, 8.059521351436208, 8.318918468325863, 8.324706089968892, 8.32605366049384, 8.435930736985704, 8.66800508008913, 8.406990633173743, 8.962431358959584, 8.850717354466074, 9.1716199955458, 9.302688993535714, 8.939046098190769, 9.051679849424985, 8.682789687366284, 8.994991585405426, 8.561380912367396, 8.787500555168679, 8.843251281455629, 8.7217706466806, 8.381660448144187, 9.395216774912862, 8.591359926732526, 8.453429031525232, 8.456509570151965, 8.628116911794814, 8.53819222436614, 8.730438299562152, 9.376235492300244, 8.15154442462199, 8.54875158466325, 8.163866477674533, 8.304409143008455, 8.856929571720633, 8.167913697870857, 7.84492260274128, 8.162407286516313, 8.321838697740313, 8.253127215455834, 8.248563253933684, 8.499374467029739, 8.680742460396948, 7.967559876484448, 8.095069183089077, 7.912424470771882, 7.7624804836167565, 7.807769541801359, 8.016590141394108, 7.6555859978103316, 8.416070459989983, 7.512191560306614, 7.994576039964321, 7.185188422240499, 7.660311594811295, 7.23106290817905, 6.982644852723388, 7.843742555580493, 7.005057894403877, 8.430250121211994, 5.657881355879867, 6.726292542438366, 7.486937111190708, 7.712303495834796, 6.246962399681747, 6.92875404699629, 5.329766234792039, 5.709327997807491, 7.971206942045293, 5.686373279239376, 6.1781744792525615, 8.241084719551052, 8.439160967397711, 7.65310078654845, 6.327069191350794, 3.91910919080523],
    },
    "2022": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82],
        "perplexities": [9.483592568856565, 7.189994228954454, 8.316909239194644, 7.86424678656687, 9.220674611582542, 8.321976529350732, 9.10888002884781, 8.225969911900018, 8.384237608546773, 8.780327271679809, 9.364145618644377, 9.495859713757827, 9.106949174218812, 9.23421176581141, 9.163921762844911, 8.794794461344875, 8.828930317074237, 8.910619607048394, 8.875861267417038, 8.806690212582172, 9.061056708418198, 8.866883414667015, 8.67286618308663, 8.682273027254936, 8.305102405030174, 8.189733511502775, 8.924337748216326, 8.659728319566609, 8.444422835653581, 8.755250021389994, 8.000000289145156, 8.081525926632303, 8.061721834769063, 7.895475427973516, 8.287032632326136, 8.472773038016852, 7.663326197885218, 7.847535650315383, 7.732755997953167, 7.960257016089297, 7.608447426559309, 7.598389147784626, 7.946761405541756, 7.773873549407202, 8.126908611820289, 7.916664649722816, 7.894622086606636, 7.680503580812927, 7.727898320658088, 7.432772901777352, 8.202398282489195, 8.042184753937285, 7.73548358717129, 7.682704039184239, 8.158164009607694, 7.345186708566949, 7.828163052277644, 7.611824744941703, 7.241808787698759, 7.582892852952833, 7.879397809151155, 7.134581497547041, 7.78667356422719, 6.656397614763345, 7.023352560594163, 7.362930730205023, 7.3699197483652386, 6.7454140379422265, 5.903262622771099, 6.434879224359672, 7.306608742238141, 7.9100884219615555, 7.924947631037447, 8.120669403708789, 7.8919156097528464, 7.295660656533646, 5.599201327007343, 5.260468504600074, 6.889443342018529, 5.396932289937023, 6.7357812331788285, 7.079240389198726],
    },
    "2023": {
        "dumps": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87],
        "perplexities": [8.70489099557147, 7.743567081947979, 5.707700759513075, 7.42267071929539, 7.528257194741652, 6.766266255314377, 8.140487690026744, 7.968460364579144, 8.378534732391445, 8.462864835761868, 8.750163467122363, 9.030159982511133, 8.947498611252533, 9.26185161266797, 9.148155404351185, 9.160868347246595, 9.132536983584458, 9.12916497406581, 9.027825944368539, 9.127169658958355, 9.087762413460762, 9.288851446582335, 9.21606664952798, 9.10292838042461, 9.142519978568224, 8.822355646917647, 8.900446619619732, 8.79981304565808, 8.918708459617246, 9.13267243596762, 8.759214105765599, 8.961577284078654, 8.12181490449537, 8.43888231714366, 8.724831350613316, 8.258762532936931, 8.337583232620341, 8.223678511207945, 8.19914152935067, 8.250449659843008, 8.488274186714182, 8.063794656047826, 8.267469501822353, 8.109403400519883, 7.897519766033864, 8.029859903259943, 8.01415790723292, 7.852726835204203, 7.524006414246027, 8.016485804552786, 8.181980185953115, 7.7865858384362445, 7.630488133713028, 7.744179998387641, 7.9618609986528766, 7.818104340203628, 7.873732400580378, 7.643522973769515, 7.743819932052891, 7.603304862075835, 7.499516191588959, 7.919857492185231, 7.294200517555408, 7.835098137549298, 7.562994060655124, 7.426074658906729, 7.4503303575596185, 7.6402144041645315, 6.889172499203354, 7.869082402525025, 7.476479798274207, 7.46012411648056, 7.016878527752248, 7.233305845472016, 6.657949958745544, 6.2352925881040875, 6.558931554888652, 6.094819134587699, 6.444696396841287, 5.338755088514068, 5.367611973164904, 5.425863412036782, 4.20042362030674, 5.111941016244413, 5.149295160813693, 3.9082208202377435, 2.6866750639387136],
    },
}

# Create figure
fig = go.Figure()

# Add traces for each year
for year, year_data in data.items():
    fig.add_trace(go.Scatter(x=year_data["dumps"], y=year_data["perplexities"], mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (Global)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show the figure
llama_graph4 = fig


#llama graph 5

# Data for different buckets and years
import plotly.graph_objects as go

# Data for different years and buckets
data = {
    "2014": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.276942939297756, 8.69938211424056, 8.158271167692497, 8.367670702299348, 6.583755343348351, 7.497674909399879]
    },
    "2015": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.103981560121444, 8.198551019737206, 8.17752561770772, 8.233928498586414, 6.517481691960036, 7.3736492145399355]
    },
    "2016": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.023271012270133, 8.067050538323626, 8.150103850870096, 8.232721560484496, 6.3749350052179015, 7.350697996200808]
    },
    "2017": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.129487810210167, 8.290815319993621, 7.878257519772607, 7.98292071692709, 6.524893452272168, 6.918924770013169]
    },
    "2018": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.213411471804902, 7.89026459259236, 7.403516159589743, 7.556076611087452, 6.6509342133282745, 6.493818412135467]
    },
    "2019": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [8.96407327327958, 7.628975687395983, 7.036189728869401, 6.6349379440939895, 6.446837262269017, 6.086615106309735]
    },
    "2020": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.137673180826452, 7.794611238323424, 7.059198583303955, 6.82070782491814, 6.64418110544852, 6.271177318179787]
    },
    "2021": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.178752781806578, 7.70543845537127, 6.698443323550492, 6.472409310902069, 7.307749809853384, 6.782598533191676]
    },
    "2022": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [9.096031774523855, 7.652072280274248, 6.615135590934534, 6.239500427643811, 6.787412545253696, 6.99638904682498]
    },
    "2023": {
        "buckets": ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"],
        "perplexities": [8.728460642325789, 7.561677894180029, 6.194391269071906, 5.775947387872692, 6.054439209079063, 5.3384410032299]
    }
}

# Create figure
fig = go.Figure()

# Add traces for each year
for year, year_data in data.items():
    fig.add_trace(go.Scatter(x=year_data["buckets"], y=year_data["perplexities"], mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Buckets (Local)",
    xaxis_title="Bucket (Duplicate Count Range)",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show the figure
llama_graph5 = fig

##llama graph 6

# Data for different years and duplication counts
data = {
    "2014": {
        "duplicates": list(range(1, 88)),
        "perplexities": [9.73915022954687, 8.920626670584653, 10.794318768046299, 8.843588010546013, 9.050843813116494, 8.930966597941875, 9.037282952268393, 8.861595199889763, 8.753115155540607, 9.750853693230052, 8.684437196297443, 9.220661575409212, 8.779997997083122, 8.395973456433415, 8.73217254093509, 8.881588084417483, 8.631494252144279, 8.819106667105284, 8.896815931063438, 8.659420224734506, 9.093486198999384, 9.696607960142106, 8.508805626033137, 8.770987058526325, 8.618185592039293, 7.915860238031309, 8.83767692043796, 8.727961757725632, 8.485070840013236, 9.764445257512499, 8.600757313466264, 9.081950235300344, 8.644217818204663, 8.55864241676558, 8.233431060928043, 8.184825012856324, 8.457157826105203, 8.306222356999731, 8.804352979539, 8.313005637251672, 9.026721732161297, 8.449083429742776, 8.733235778798473, 9.006749183049818, 8.200737283467852, 8.251897579249375, 7.787355375938481, 7.268723383407269, 7.571889349513068, 8.351626749016013, 8.400107029097354, 7.723260069861529, 8.064236740258659, 7.888157433279341, 8.148191006636575, 7.906415374915906, 7.676551458219022, 7.967158452060384, 7.932665786459153, 7.9763750026305305, 7.667885913458702, 7.839381126838969, 7.92098160290061, 8.028601269205508, 7.563111341601447, 7.6678178481341215, 7.111641341466761, 7.42738813332767, 6.926910421359465, 7.363397686520664, 7.4639497513997775, 7.970748152252673, 7.356418997104175, 7.343504223513313, 6.8766667549967355, 6.358501202955649, 6.424115736059589, 6.008071046749611, 6.639372134895001, 5.6177395770356835, 5.443864799344331, 5.6647930543792, 4.172380654474099, 5.128083927608737, 5.146055825516793, 3.8998212782432287, 2.6866750639386963],
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    "2023": {
        "duplicates": list(range(1, 88)),
        "perplexities": [8.70489099557147, 7.580704259900713, 5.836272117595713, 7.267518477506005, 7.283085974734155, 5.803062744865375, 8.134525344019872, 7.557124524037357, 8.285446726695811, 8.351123312334009, 8.590647921692078, 9.005573576795152, 8.871116907846343, 9.192666716497001, 9.005592946042935, 9.143088639505718, 9.091899749285021, 8.968510745275767, 8.975056578670769, 9.091779598794488, 8.980027479169559, 9.159988763765217, 8.883393229479356, 8.874910963718058, 8.931427901889217, 8.625523963019026, 8.735000607943736, 8.63742312596692, 8.70111762921543, 9.206595504882097, 8.763642440521853, 8.911783192379705, 7.634828216241755, 8.259433628637158, 8.82001651315211, 8.107726825798297, 8.206921799311043, 8.355228813696131, 8.298238657805719, 8.033613885206083, 8.225747435920205, 7.934196000879481, 8.286077333650876, 7.980486854114626, 7.721311081423362, 7.689565789535576, 7.790611228082437, 7.624460645122273, 7.0093123271820055, 7.791169711054489, 8.14175443228974, 7.776459425768002, 7.526576191153727, 7.756713091828537, 7.801566191856336, 7.843167604084829, 7.7089466527367705, 7.409181212687685, 7.442037119594963, 7.337342474375209, 7.190330728288846, 7.254100247522111, 6.79586626781295, 7.483337535174346, 7.294262214559599, 7.030373799134058, 7.149000704995256, 7.324234704301861, 6.822226914595191, 7.792044674564248, 7.149607692275065, 7.078295043693808, 6.946740616609221, 6.700263270499871, 6.4699642011179925, 6.359739677958311, 6.494171402228005, 5.966063278273302, 6.15136761591695, 5.309723356734837, 5.00827796373236, 4.976659481606136, 4.042120043465434, 4.842002060938444, 5.114027203055052, 3.8900363946754233, 2.6866750639387074],
    },
}

# Create figure
fig = go.Figure()

# Add traces for each year
for year, year_data in data.items():
    fig.add_trace(go.Scatter(x=year_data["duplicates"], y=year_data["perplexities"], mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (Local)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show the figure
llama_graph6 = fig

##txt360 vs fineweb comparison table
dataset_comparison = pd.DataFrame(
        {
            "Metric": [
                "BoolQ",
                "PIQA",
                "HellaSwag",
                "Winogrande",
                "MMLU",
                "Natural Questions",
                "TriviaQA",
                "GSM8K",
                "MATH",
                "MedQA",
            ],
            "TxT360 - Upsampling": [
                "70.31",
                "80.36",
                "73.54",
                "68.43",
                "30.26",
                "22.22",
                "58.52",
                "3.41",
                "28.04",
                "25.61",
            ],
            "FineWeb-1.5T": [
                "71.5",
                "82.1",
                "79.46",
                "70.96",
                "28.5",
                "19.03",
                "36.65",
                "5.31",
                "29.65",
                "27.26",
            ],
            "TxT360 Difference": [
                "(1.19)",
                "(1.74)",
                "(5.92)",
                "(2.53)",
                "1.76",
                "3.19",
                "21.87",
                "(1.9)",
                "(1.61)",
                "(1.65)",
            ],
        }
    )

table_html = dataset_comparison.to_html(index=False, border=0)
table_div_1 = Div(NotStr(table_html), style="margin: 40px;")

intro_div = Div(
    H2("TxT360 Results"),
    H3("What This Section Contains"),
    P("This section provides brief upsampling ablation examples and detailed perplexity analysis of CommonCrawl snapshots. The section is split into the following topic areas: "),
    Ul(
        Li("Upsampling Experiment: TxT360 vs FineWeb", style = "margin-bottom: 5px"),
        Li("Perplexity Evaluation on Duplicate Data", style = "margin-bottom: 5px"),
    ),
)


upsampling_exp = Div(
        H2("Upsampling Experiment: TxT360 vs FineWeb"),
        H3("Experiment Setup"),
        P("We performed a comparison of 1.5T tokens from FineWeb and 1.5T tokens of TxT360 across 10 diverse evaluations. Our FineWeb evaluation is based on a random sample 1.5T tokens from FineWeb (base). For TxT360, we also random sample 1.5T tokens by upsampling data instances with more duplicates. Concretely, the upsampling weight is set to 3 for data points with duplicates in the range from 2 to 5,  5 for the range from 5 to 100, 8 for that from 101 to 1000, and 10 for more than 1000 duplicates."),
        table_div_1,
        P("To account for differing dataset sizes, the evaluation scores represent the final evaluation score after the entire dataset has been processed."),
        H3("Training Evaluations"),
        P("We also conducted full scale training using TxT360 and FineWeb-1.5T. Below are plots of the training and validation loss curves for each dataset. We can see that TxT360 achieves a lower training and validation loss compared to FineWeb-1.5T. "),
        plotly2fasthtml(validation_loss_graph),
        plotly2fasthtml(lm_loss_graph),
)

preplexity_intro_div = Div(
        H2("Perplexity Evaluation on Duplicate Data"),
        H3("Model based Quality Estimation"),
        P("We took one of the model-based data quality evaluation strategies adopted by [DataComp-LM](https://arxiv.org/abs/2406.11794), which used perplexity filtering as a candidate for quality filtering. DataComp-LM followed [CCNet’s](https://arxiv.org/abs/1911.00359) practice to use a 5-gram Kneser-Ney model as implemented in the [KenLM](https://github.com/kpu/kenlm) library for efficient perplexity calculation. Following this practice, we estimated data quality by taking a KenLM model (from [edugp/kenlm](https://huggingface.co/edugp/kenlm)) trained on English Wikipedia data to compute perplexity on data with different duplication patterns. Lower perplexity is regarded as a signal of higher quality."),
        H3("Sampling Strategy"),
        P("We started from a processed Common Crawl (CC) ablation dataset divided by the number of duplicates of each document. For each CC dump, we have different buckets each holding chunks of document with different duplicate count ranges (1-1, 2-5, 6-10, 11-100, 101-1000, 1001-30000000). We sampled the first 10k documents from each chunk with their meta data."),
)


perp1_div = Div(
        Section(
            H3("Perplexity vs Buckets"),
            P("For each bucket, we aggregated all the chunks that belong to a single year and calculated the average perplexity for each (bucket, year) data point."),
            #Img(src="images/prep-diff-buckets-global.png", height = "300", width = "600" ),
            plotly2fasthtml(Perplexity_Across_Different_Buckets_global_graph),
        ),
        Section(
            H3("Perplexity vs Years"),
            P("Taking the same data, we can convert it into a graph indicating the yearly trend. For most buckets, the average perplexity of dumps from more recent years seem to be lower than that of former years."),
            Img(src="images/prep-across-diff-year-global-dup-buckets.png", height = "300", width = "600" ),
            plotly2fasthtml(Perplexity_Across_Different_years_graph),
        ),
    Section(
            H3("Perplexity vs Document Duplication"),
            P("We can also break each bucket into distinct document counts. The graph becomes a bit noisy at the end because of insufficient samples with larger duplication counts."),
            Img(src="images/prep-across-diff-docs-dup-count-global.png", height = "300", width = "600" ),
            plotly2fasthtml(graph3),
        ),
    Section(
            H3("Perplexity vs Dump Duplication"),
            P("We are also interested in how the number of dumps a document is in affect data quality. From the graph below we can see that documents that are duplicated across around 40 - 60 dumps usually have lower perplexity."),
            #Img(src="images/prep-across-diff-dump-dup-counts-global.png", height = "300", width = "600" ),
            plotly2fasthtml(graph4),
        ),
    Section(
            H3("Perplexity vs Local Buckets"),
            P("Previously we have seen that documents in recent dumps tend to have lower perplexity. This might be related to the way how global deduplication was implemented. During global deduplication, we only keep copy in the latest dump. Hence documents that are duplicated across multiple dumps only appear in the latest one. To avoid bias brought by this strategy, we tried to recover the states before the global deduplication by reading the metadata attached with each document."),
            #Img(src="images/prep-across-diff-buckets-local.png", height = "300", width = "600" ),
            plotly2fasthtml(graph5),
        ),
    Section(
            H3("Perplexity vs Local Dump Duplication"),
            P("Following the same practice, we can plot the local version of the graph of average perplexity with respect to dump duplication."),
            #Img(src="images/prep-diff-dump-dump-counts-local.png", height = "300", width = "600" ),
            plotly2fasthtml(graph6),
        ),
)


llama_div = Div(
        Section(
            H2("Llama 3.1 8B"),
            P("For comparison purpose, we run the same perplexity evaluation with llama 3.1 8B model."),
        ),
        Section(
            H3("Perplexity vs Buckets"),
            #Img(src="images/perp-across-diff-buckets-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph1),
        ),
        Section(
            H3("Perplexity vs Years"),
            #Img(src="images/prep-across-diff-years-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph2),
        ),
    Section(
            H3("Perplexity vs Dump Duplication"),
            #Img(src="images/prep-vs-dump-dup-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph4),
        ),
    Section(
            H3("Perplexity vs Local Buckets"),
            #Img(src="images/prep-diff-buckets-local.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph5),
        ),
    Section(
            H3("Perplexity vs Local Dump Duplication"),
            #Img(src="images/prep-vs-dump-dup-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph6),
        ),
)


def results():
    return Div(
                Section(
                    intro_div,
                    upsampling_exp,
                    preplexity_intro_div,
                    perp1_div,
                    llama_div,
                    id="inner-text"
                )
    )