Datasets:
image imagewidth (px) 640 1.02k | sample_id stringlengths 8 8 | latent_series_id stringlengths 15 15 | rendering_id stringclasses 2
values | split stringclasses 1
value | raw_x listlengths 32 160 | raw_y listlengths 32 160 | x_axis_min float64 -121.84 -0.13 | x_axis_max float64 8.23 430 | y_axis_min float64 -294.02 16.8 | y_axis_max float64 -22.59 278 | x_scale stringclasses 1
value | y_scale stringclasses 1
value | x_ticks listlengths 4 8 | y_ticks listlengths 4 8 | x_tick_labels listlengths 4 8 | y_tick_labels listlengths 4 8 | plot_left_px float64 64.1 184 | plot_right_px float64 595 1k | plot_top_px float64 21 123 | plot_bottom_px float64 336 676 | curve_grid_x listlengths 32 32 | curve_grid_y listlengths 32 32 | normalized_curve_y listlengths 32 32 | pixel_curve_x listlengths 32 32 | pixel_curve_y listlengths 32 32 | target_json stringlengths 317 563 | instruction stringclasses 1
value | canonical stringlengths 10.4k 32k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
00000000 | series_00000000 | render_00 | train | [
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... | -7.488004 | 129.648743 | -27.096397 | 18.207273 | linear | linear | [
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267.86176317... | {"x":[0,4.0319,8.0637,12.0956,16.1274,20.1593,24.1911,28.223,32.2549,36.2867,40.3186,44.3504,48.3823,52.4141,56.446,60.4778,64.5097,68.5416,72.5734,76.6053,80.6371,84.669,88.7008,92.7327,96.7646,100.7964,104.8283,108.8601,112.892,116.9238,120.9557,124.9876],"y":[14.4564,6.8867,1.3316,2.2681,7.7448,11.37,8.5776,1.1166,-... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"comma:1","label":"Time","max":129.64874308054831,"min":-7.488004036269976,"scale":"linear","tick_labels":["-7.5","38.2","83.9","129.6"],"ticks":[-7.488004036269976,38.224245002669456,83.9364940416089,129.64874308054831],"unit":null},"y":{"formatter":"decimal:2","label":"Value","max":18.207272... | |
00000001 | series_00000000 | render_01 | train | [
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... | -5.182751 | 127.241706 | -26.59224 | 17.417241 | linear | linear | [
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] | 70.639141 | 619.559103 | 50.413086 | 367.426585 | [
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252.6548433... | {"x":[0,4.0319,8.0637,12.0956,16.1274,20.1593,24.1911,28.223,32.2549,36.2867,40.3186,44.3504,48.3823,52.4141,56.446,60.4778,64.5097,68.5416,72.5734,76.6053,80.6371,84.669,88.7008,92.7327,96.7646,100.7964,104.8283,108.8601,112.892,116.9238,120.9557,124.9876],"y":[14.4564,6.8867,1.3316,2.2681,7.7448,11.37,8.5776,1.1166,-... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"decimal:1","label":"Time","max":127.24170616718426,"min":-5.182751327800849,"scale":"linear","tick_labels":["-5.2","16.9","39.0","61.0","83.1","105.2","127.2"],"ticks":[-5.182751327800849,16.887991588030005,38.95873450386085,61.02947741969171,83.10022033552256,105.17096325135341,127.241706167... | |
00000002 | series_00000001 | render_00 | train | [
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... | -2.497838 | 129.651637 | -23.493866 | -8.748877 | linear | linear | [
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] | 140.895902 | 952.474006 | 52.070088 | 360.239242 | [
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59.740130362... | [
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273.2136900099708,... | {"x":[0,3.9827,7.9654,11.948,15.9307,19.9134,23.8961,27.8787,31.8614,35.8441,39.8268,43.8094,47.7921,51.7748,55.7575,59.7401,63.7228,67.7055,71.6882,75.6708,79.6535,83.6362,87.6189,91.6015,95.5842,99.5669,103.5496,107.5322,111.5149,115.4976,119.4803,123.4629],"y":[-18.8403,-18.957,-19.1601,-19.3138,-19.5599,-19.7173,-1... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"comma:0","label":"Time","max":129.65163730860834,"min":-2.497837509144076,"scale":"linear","tick_labels":["-2","20","42","64","86","108","130"],"ticks":[-2.497837509144076,19.527074960481325,41.55198743010673,63.576899899732126,85.60181236935753,107.62672483898294,129.65163730860834],"unit":n... | |
00000003 | series_00000001 | render_01 | train | [
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... | -4.053533 | 127.471595 | -29.209092 | 9.021039 | linear | linear | [
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] | [
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] | [
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] | 121.304481 | 783.708267 | 85.527225 | 638.266634 | [
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495.431870970421... | {"x":[0,3.9827,7.9654,11.948,15.9307,19.9134,23.8961,27.8787,31.8614,35.8441,39.8268,43.8094,47.7921,51.7748,55.7575,59.7401,63.7228,67.7055,71.6882,75.6708,79.6535,83.6362,87.6189,91.6015,95.5842,99.5669,103.5496,107.5322,111.5149,115.4976,119.4803,123.4629],"y":[-18.8403,-18.957,-19.1601,-19.3138,-19.5599,-19.7173,-1... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"decimal:1","label":"Time","max":127.47159461818515,"min":-4.053532671458807,"scale":"linear","tick_labels":["-4.1","14.7","33.5","52.3","71.1","89.9","108.7","127.5"],"ticks":[-4.053532671458807,14.735771227061758,33.52507512558232,52.31437902410289,71.10368292262345,89.892986821144,108.68229... | |
00000004 | series_00000002 | render_00 | train | [
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9.779765591283137,
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16.25636251248... | -1.062475 | 21.99473 | -23.186002 | 29.270846 | linear | linear | [
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4.701826433632777,
10.466127759359905,
16.230429085087035,
21.994730410814164
] | [
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16.15663432678283,
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"10.5",
"16.2",
"22.0"
] | [
"-23",
"-10",
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"16",
"29"
] | 177.376758 | 979.572729 | 63.425822 | 490.907163 | [
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9.9193548387... | [
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5... | [
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308.5603882860... | {"x":[0,0.6613,1.3226,1.9839,2.6452,3.3065,3.9677,4.629,5.2903,5.9516,6.6129,7.2742,7.9355,8.5968,9.2581,9.9194,10.5806,11.2419,11.9032,12.5645,13.2258,13.8871,14.5484,15.2097,15.871,16.5323,17.1935,17.8548,18.5161,19.1774,19.8387,20.5],"y":[24.8054,18.1033,14.4661,8.7734,5.1228,2.2436,-0.5848,4.1762,10.0723,9.9887,13.... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"decimal:1","label":"Time","max":21.994730410814164,"min":-1.0624748920943514,"scale":"linear","tick_labels":["-1.1","4.7","10.5","16.2","22.0"],"ticks":[-1.0624748920943514,4.701826433632777,10.466127759359905,16.230429085087035,21.994730410814164],"unit":null},"y":{"formatter":"comma:0","lab... | |
00000005 | series_00000002 | render_01 | train | [
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16.25636251248... | -2.044117 | 28.464325 | -17.037362 | 26.142605 | linear | linear | [
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4.057571137478291,
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"-17",
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] | 116.474949 | 755.583322 | 78.13807 | 523.485028 | [
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9.9193548387... | [
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353.239546940... | [
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356.1198967661947... | {"x":[0,0.6613,1.3226,1.9839,2.6452,3.3065,3.9677,4.629,5.2903,5.9516,6.6129,7.2742,7.9355,8.5968,9.2581,9.9194,10.5806,11.2419,11.9032,12.5645,13.2258,13.8871,14.5484,15.2097,15.871,16.5323,17.1935,17.8548,18.5161,19.1774,19.8387,20.5],"y":[24.8054,18.1033,14.4661,8.7734,5.1228,2.2436,-0.5848,4.1762,10.0723,9.9887,13.... | Recover the numerical series represented by this chart.
Return exactly 32 sampled points as valid JSON with keys "x" and "y".
Return JSON only. | {"axes":{"x":{"formatter":"decimal:1","label":"Time","max":28.464324711271804,"min":-2.0441172559700878,"scale":"linear","tick_labels":["-2.0","4.1","10.2","16.3","22.4","28.5"],"ticks":[-2.0441172559700878,4.057571137478291,10.15925953092667,16.260947924375053,22.36263631782343,28.464324711271804],"unit":null},"y":{"f... | |
00000006 | series_00000003 | render_00 | train | [0.0,0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0,2.25,2.5,2.75,3.0,3.25,3.5,3.75,4.0,4.25,4.5,4.75,5.0,5.25,(...TRUNCATED) | [6.724676910933322,7.646366008839435,8.50590616520942,9.244571633972196,9.809477437263961,10.1576800(...TRUNCATED) | -0.756494 | 37.077374 | -9.430366 | 47.168384 | linear | linear | [
-0.7564940675268575,
8.701972866280128,
18.16043980008711,
27.618906733894097,
37.07737366770108
] | [-9.430366220592827,1.8893837366691777,13.209133693931182,24.528883651193187,35.84863360845519,47.16(...TRUNCATED) | [
"-0.76",
"8.70",
"18.16",
"27.62",
"37.08"
] | [
"-9",
"2",
"13",
"25",
"36",
"47"
] | 87.593526 | 721.57187 | 56.043167 | 347.556742 | [0.0,1.1209677419354838,2.2419354838709675,3.362903225806451,4.483870967741935,5.604838709677419,6.7(...TRUNCATED) | [6.724676910933322,9.977962552574263,9.057646132551726,4.523097471240567,1.3564926618933963,2.664776(...TRUNCATED) | [0.28543109507753994,0.34291090963040205,0.3266505430410831,0.24653307262996166,0.19058475537378963,(...TRUNCATED) | [100.27002107806248,119.05396561992212,137.83791016178176,156.6218547036414,175.40579924550104,194.1(...TRUNCATED) | [264.3497029704606,247.5935567607829,252.3336743501153,275.6890045403975,291.9986984985728,285.26034(...TRUNCATED) | "{\"x\":[0,1.121,2.2419,3.3629,4.4839,5.6048,6.7258,7.8468,8.9677,10.0887,11.2097,12.3306,13.4516,14(...TRUNCATED) | "Recover the numerical series represented by this chart.\nReturn exactly 32 sampled points as valid (...TRUNCATED) | "{\"axes\":{\"x\":{\"formatter\":\"decimal:2\",\"label\":\"Time\",\"max\":37.07737366770108,\"min\":(...TRUNCATED) | |
00000007 | series_00000003 | render_01 | train | [0.0,0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0,2.25,2.5,2.75,3.0,3.25,3.5,3.75,4.0,4.25,4.5,4.75,5.0,5.25,(...TRUNCATED) | [6.724676910933322,7.646366008839435,8.50590616520942,9.244571633972196,9.809477437263961,10.1576800(...TRUNCATED) | -1.127521 | 36.076885 | -14.053581 | 47.414916 | linear | linear | [-1.1275208730738708,4.187394201089625,9.50230927525312,14.817224349416616,20.132139423580114,25.447(...TRUNCATED) | [
-14.05358116780469,
6.435917888781397,
26.925416945367484,
47.41491600195358
] | [
"-1.13",
"4.19",
"9.50",
"14.82",
"20.13",
"25.45",
"30.76",
"36.08"
] | [
"-14",
"6",
"27",
"47"
] | 128.313241 | 741.844516 | 90.552802 | 651.704761 | [0.0,1.1209677419354838,2.2419354838709675,3.362903225806451,4.483870967741935,5.604838709677419,6.7(...TRUNCATED) | [6.724676910933322,9.977962552574263,9.057646132551726,4.523097471240567,1.3564926618933963,2.664776(...TRUNCATED) | [0.33803100832861516,0.390957072758925,0.3759849087660281,0.3022146220321904,0.25069872437485996,0.2(...TRUNCATED) | [146.90698823740246,165.39266912761317,183.87835001782392,202.36403090803464,220.84971179824538,239.(...TRUNCATED) | [462.0179985615885,432.3184338308438,440.72009298409296,482.1164338917402,511.0246807754836,499.0812(...TRUNCATED) | "{\"x\":[0,1.121,2.2419,3.3629,4.4839,5.6048,6.7258,7.8468,8.9677,10.0887,11.2097,12.3306,13.4516,14(...TRUNCATED) | "Recover the numerical series represented by this chart.\nReturn exactly 32 sampled points as valid (...TRUNCATED) | "{\"axes\":{\"x\":{\"formatter\":\"decimal:2\",\"label\":\"Time\",\"max\":36.0768846460706,\"min\":-(...TRUNCATED) | |
00000008 | series_00000004 | render_00 | train | [0.0,0.5508048626469715,1.4438992220508098,2.0130147196014647,2.995330454343474,3.4478994403704863,4(...TRUNCATED) | [9.55433864964714,10.206319415555189,6.3461343682977835,4.719979712907621,2.035565443169541,1.875553(...TRUNCATED) | -1.59457 | 64.180513 | -6.858707 | 25.113033 | linear | linear | [
-1.5945701319963372,
20.330457516704467,
42.255485165405275,
64.18051281410608
] | [-6.85870748406795,-2.2913159201079036,2.276075643852143,6.843467207812188,11.410858771772237,15.978(...TRUNCATED) | [
"-2",
"20",
"42",
"64"
] | [
"-6.9",
"-2.3",
"2.3",
"6.8",
"11.4",
"16.0",
"20.5",
"25.1"
] | 102.431205 | 623.959624 | 66.196437 | 521.720757 | [0.0,1.9366361092043425,3.873272218408685,5.8099083276130274,7.74654443681737,9.683180546021713,11.6(...TRUNCATED) | [9.55433864964714,4.938219127233984,2.376593656596432,7.91322801719275,11.120416731653517,6.71122202(...TRUNCATED) | [0.5133610384418364,0.36897980096210836,0.2888582500329212,0.46203100185928353,0.562344235339597,0.4(...TRUNCATED) | [115.07449802134472,130.43002056220712,145.78554310306947,161.14106564393188,176.49658818479423,191.(...TRUNCATED) | [287.8723186165243,353.6414836506653,390.1387986608162,311.25439863007466,265.5592811547075,328.3802(...TRUNCATED) | "{\"x\":[0,1.9366,3.8733,5.8099,7.7465,9.6832,11.6198,13.5565,15.4931,17.4297,19.3664,21.303,23.2396(...TRUNCATED) | "Recover the numerical series represented by this chart.\nReturn exactly 32 sampled points as valid (...TRUNCATED) | "{\"axes\":{\"x\":{\"formatter\":\"comma:0\",\"label\":\"Time\",\"max\":64.18051281410608,\"min\":-1(...TRUNCATED) | |
00000009 | series_00000004 | render_01 | train | [0.0,0.5508048626469715,1.4438992220508098,2.0130147196014647,2.995330454343474,3.4478994403704863,4(...TRUNCATED) | [9.55433864964714,10.206319415555189,6.3461343682977835,4.719979712907621,2.035565443169541,1.875553(...TRUNCATED) | -5.943244 | 78.287668 | -55.004709 | 78.498651 | linear | linear | [
-5.94324414436758,
22.13372664692735,
50.210697438222276,
78.28766822951721
] | [-55.00470862768745,-28.30403672762415,-1.6033648275608527,25.097307072502446,51.797978972565744,78.(...TRUNCATED) | [
"-6",
"22",
"50",
"78"
] | [
"-55.0",
"-28.3",
"-1.6",
"25.1",
"51.8",
"78.5"
] | 155.551027 | 995.752926 | 117.225132 | 659.634631 | [0.0,1.9366361092043425,3.873272218408685,5.8099083276130274,7.74654443681737,9.683180546021713,11.6(...TRUNCATED) | [9.55433864964714,4.938219127233984,2.376593656596432,7.91322801719275,11.120416731653517,6.71122202(...TRUNCATED) | [0.48357620002200424,0.4489993958150494,0.4298116728976236,0.47128354582515986,0.495306826785765,0.4(...TRUNCATED) | [214.83478473942955,234.15269654980432,253.4706083601791,272.78852017055385,292.1064319809287,311.42(...TRUNCATED) | [397.33830648853666,416.0930935182699,426.5006966833267,404.00595888671864,390.9755031084785,408.889(...TRUNCATED) | "{\"x\":[0,1.9366,3.8733,5.8099,7.7465,9.6832,11.6198,13.5565,15.4931,17.4297,19.3664,21.303,23.2396(...TRUNCATED) | "Recover the numerical series represented by this chart.\nReturn exactly 32 sampled points as valid (...TRUNCATED) | "{\"axes\":{\"x\":{\"formatter\":\"decimal:0\",\"label\":null,\"max\":78.28766822951721,\"min\":-5.9(...TRUNCATED) |
End of preview. Expand in Data Studio
Chart2Data v0.1
Objective
This dataset is intended for research on recovering numerical time-series data from chart images.
Primary task
chart image -> numerical series
Source
Fully synthetic. No real-world or personal data is included.
Generation
Every observation preserves the underlying full-precision numerical data, axis calibration and
tick labels, plot geometry, pixel-space curve information, rendering style, and signal metadata.
The textual target_json is a deterministic derived training view, not the canonical source of
truth.
v0.1
- Version:
0.1.0 - Global seed:
42 - 2,500 latent series
- 2 renderings per latent series
- 5,000 chart images
- 32-point reconstruction target
Splits
Splitting is performed at latent-series level before rendering expansion. Consequently, every visual rendering of one latent series belongs to the same split and cannot leak into another:
| Split | Latent series | Images |
|---|---|---|
| train | 2,000 | 4,000 |
| validation | 250 | 500 |
| test | 250 | 500 |
Loading
from datasets import load_dataset
ds = load_dataset("maurovidal/chart2data-v0")
The image column uses datasets.Image. Canonical metadata remains available as JSON text
alongside the convenience top-level columns and the derived instruction and target_json fields.
Intended first experiment
The initial experiment is Qwen3.5-0.8B Vision with LoRA / SFT for image-to-32-point JSON reconstruction. The canonical metadata also supports future numerical regression, pixel-space, axis-aware, and hybrid-loss experiments.
Limitations
v0.1 is synthetic and primarily uses relatively simple single-series line-chart families and linear numeric axis configurations. It does not represent the full diversity, degradation, ambiguity, or typography of charts found in real documents.
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