id stringlengths 11 41 | text stringlengths 1 64 | writer stringclasses 195
values | ink dict |
|---|---|---|---|
b06-508z-segmented-nonorm-sample6 | scratching around frantically to | 10208 | {
"strokes": [
{
"points": [
{
"x": 1129,
"y": 4404
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{
"x": 1129,
"y": 4400
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{
"x": 1132,
"y": 4404
},
{
"x": 1129,
"y": 4401
},
{
"x": 1118,
... |
b06-508z-segmented-nonorm-sample7 | overturn them next time | 10208 | {
"strokes": [
{
"points": [
{
"x": 1146,
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{
"x": 1138,
"y": 4864
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"y": 4864
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{
"x": 1125,
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{
"x": 1108,
... |
b07-568z-segmented-nonorm-sample0 | One of the weaknesses of | 10211 | {
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{
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"x": 1437,
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{
"x": 1405,
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]
},
{
"points":... |
b07-568z-segmented-nonorm-sample1 | Conservative Government has | 10211 | {
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"y": 1247
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{
"x": 1266,
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"y": 1230
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{
"x": 1253,
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]
},
{
"poin... |
b07-568z-segmented-nonorm-sample10 | declared objective of more | 10211 | {
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{
"x": 1172,
"y": 5776
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{
"x": 1175,
... |
b07-568z-segmented-nonorm-sample11 | widespread property ownership | 10211 | {
"strokes": [
{
"points": [
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{
"x": 1153,
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"y": 6140
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{
"x": 1148,
"y": 6172
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{
"x": 1141,
... |
b07-568z-segmented-nonorm-sample2 | been its reluctance to use | 10211 | {
"strokes": [
{
"points": [
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"y": 1813
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{
"x": 1068,
"y": 1845
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{
"x": 1069,
... |
b07-568z-segmented-nonorm-sample3 | the tax system as an | 10211 | {
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{
"x": 1017,
"y": 2304
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"y": 2308
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{
"x": 1022,
"y": 2309
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{
"x": 1032,
... |
b07-568z-segmented-nonorm-sample4 | instrument of policy as its | 10211 | {
"strokes": [
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"points": [
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"y": 2793
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{
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"y": 2792
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"y": 2801
},
{
"x": 1093,
"y": 2804
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{
"x": 1095,
... |
b07-568z-segmented-nonorm-sample6 | freely On the contrary | 10211 | {
"strokes": [
{
"points": [
{
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"y": 3760
},
{
"x": 1027,
"y": 3756
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"x": 1027,
"y": 3744
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{
"x": 1030,
"y": 3732
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{
"x": 1038,
... |
b07-568z-segmented-nonorm-sample7 | conservatives have been content | 10211 | {
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{
"points": [
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"x": 1037,
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{
"x": 1038,
"y": 4208
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{
"x": 1038,
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},
{
"x": 1035,
"y": 4200
},
{
"x": 1030,
... |
b07-568z-segmented-nonorm-sample8 | to accept a system which | 10211 | {
"strokes": [
{
"points": [
{
"x": 957,
"y": 4739
},
{
"x": 955,
"y": 4739
},
{
"x": 955,
"y": 4739
},
{
"x": 956,
"y": 4743
},
{
"x": 966,
... |
b07-568z-segmented-nonorm-sample9 | works directly against their | 10211 | {
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{
"points": [
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"y": 5113
},
{
"x": 1015,
"y": 5112
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{
"x": 1014,
"y": 5127
},
{
"x": 1011,
"y": 5148
},
{
"x": 1004,
... |
b08-658z-segmented-nonorm-sample0 | Like most supremely powerful | 10215 | {
"strokes": [
{
"points": [
{
"x": 957,
"y": 786
},
{
"x": 987,
"y": 812
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{
"x": 986,
"y": 811
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{
"x": 989,
"y": 815
},
{
"x": 983,
... |
b08-658z-segmented-nonorm-sample2 | nature He sees himself marked out as | 10215 | {
"strokes": [
{
"points": [
{
"x": 377,
"y": 2249
},
{
"x": 373,
"y": 2252
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{
"x": 371,
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},
{
"x": 375,
"y": 2308
},
{
"x": 383,
... |
End of preview. Expand in Data Studio
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Check out the documentation for more information.
Download processed data from Hugging Face
#use proper local_dir
HF_HUB_ENABLE_HF_TRANSFER=1 uv run python - <<'PY'
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="simulaXrm/rm-strokes",
repo_type="dataset",
local_dir="strokes-opensource",
allow_patterns=[
"deepwriting/parsed/**",
"iam/parsed/**",
],
max_workers=32,
)
PY
This restores the same file layout used by the training scripts:
data/
├── deepwriting/
│ └── parsed/
│ └── *.json
└── iam/
└── parsed/
└── *.json
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