Datasets:

Chrisyichuan
/

screenshot-training

Tasks:

Question Answering

Languages:

English

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10K<n<100K

License:

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xet

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test

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<efbbb22cc169244a1d31be0fc6e34ef9: list<item: string>, d12486711097e98f3ca95158849a773d: list<item: string>, f5f0842dbf8f0a518b1d7518c5da76d2: list<item: string>, 87e11245eb9e0f27619c673933b173cf: list<item: string>, 9031e34de71f880912461f69e53a744c: list<item: string>, 2422e4d13b9167aae99d051762422ac5: list<item: string>, f636a0cfa86853e72b2ddf7fb2a132b2: list<item: string>, 19ce8db3fc006d70fe0c6b92a331a73e: list<item: string>, 4015356d78e9e891c6f3911ff18e8b85: list<item: string>, b054a05918c9258281716a40d60004e4: list<item: string>, 7c21eebe964df735a8ceec4f6d8f284e: list<item: string>, 37b15006d84eea5dadbf5a1ec9bde7e9: list<item: string>, cd95dab53ab8425597f349be31b6ab67: list<item: string>, c8b112d6fd5df2b81367838ed82dc7e8: list<item: string>, 3a8632c2cf6968d4243c25ddc1a1a33a: list<item: string>, b22ba6958b069f61616dba753fd43918: list<item: string>, ebbd3ad29eba54a8d7f315d061eb0954: list<item: string>, abc13dab60d7133df903319c1fff8a59: list<item: string>, 3e0d9905b84ff7076b1357939a67ae75: list<item: string>, 1504ff23cd109991e6b6fda927490296: list<item: string>, c547568bb068a034b38a52a83dcd63db: list<item: string>, f2d1d40aa754b4dce2fe03a93168a71e: list<item: string>, 0fcf84299feb8e45addf56d4d692f44b: list<item: string>, 9be2d4d3451db3098a385522ec5de14c: list<item: string>, 65c45b47b254190a0336dd75debc3893: list<item: string>, 979f1b09d0a682663dcc95a08a4f6295: list<item: string>, c2280479a0eaf598963556601bf77c4e: list<item: string>, dada3f5d517e207bcb4793fe0e8300ca: l
...
00d7107ae19c5a1961bbb: list<item: string>, c00a5f7dd1596575dc786932a82bf5e0: list<item: string>, fb883fc436ab0c25d1b374686426ee11: list<item: string>, c3ce9036ed3366ffb51438f1cf432563: list<item: string>, 2f2063d7c65c605013b4271666c26ef4: list<item: string>, f0e2848b232684edff253574f4132f1e: list<item: string>, 0b7d70225eeef5ce34a66eb193a9cefd: list<item: string>, 1653d4ab58d646499bfe176ec1687249: list<item: string>, 470170b4c2ed0ed6dda466416bdf4f8c: list<item: string>, 36456b09bcbd87a7d55c86836b0f6111: list<item: string>, 5dab5260d11ca6111ee83ee29956bdaa: list<item: string>, 0ce098feec75c6681213d3d0f85eb872: list<item: string>, e1a9210f144ceb6a9c487457b8ae919c: list<item: string>, a1be06c77598dbc17e8f69f14043d433: list<item: string>, c452c295622362177f5c5da959b3df96: list<item: string>, e351a02e8da8d5a17d7fe00b78e96ffc: list<item: string>, 44178c747167ebd98fb50c3980d785ba: list<item: string>, 05dc78b4db681b47de503ccef54104ea: list<item: string>, ffe50990c8085148a4d9768b33cee854: list<item: string>, e23b36dc443b15fead1f6b2124a4d029: list<item: string>, 75b9a998d977283ae4984334db291f50: list<item: string>, 6db341c7d9936046689887d9e193a651: list<item: string>, 7d3a3dc2e3421f183053bdd9209fb880: list<item: string>, 22b69202c899a40cea18885c46dc19cf: list<item: string>, dfed04256b6a717bd5ad191cb4535a41: list<item: string>, c44d15135542f7393c11dc625c8ee4bb: list<item: string>, c916b5f8e5d69442c153f4af247a16f3: list<item: string>, 3b0f9687030f78f00a3cb4f80c1d7929: list<item: string>>
to
{'d36d7de1aa6cbe19c7c3cb88d5831cf3': List(Value('string')), 'b054a05918c9258281716a40d60004e4': List(Value('string')), '7c21eebe964df735a8ceec4f6d8f284e': List(Value('string')), 'f1a7da2f74314b980c24a917315c945f': List(Value('string')), '3d8d330e92958f0a6a228164de241702': List(Value('string')), 'f6f7bbbcbeca69309136d0ea859605b8': List(Value('string')), '10ef881ca7235d8fc25393319898bcd8': List(Value('string')), 'db63e16b39e7dc279e541251228937af': List(Value('string')), '37b15006d84eea5dadbf5a1ec9bde7e9': List(Value('string')), '0d251fd30e27d972c2c9ffe67d9eed8d': List(Value('string')), 'fb7eb7a30e03f84a19e4dbc0c594c9f1': List(Value('string')), '412f60ffdce13933d3595590c3933824': List(Value('string')), '43be0aba9f62093bbc77d6f999f330f8': List(Value('string')), 'cd95dab53ab8425597f349be31b6ab67': List(Value('string')), '761df6de775e6659fbbf0fd8ad071cb3': List(Value('string')), '9031e34de71f880912461f69e53a744c': List(Value('string')), '8ea00c258d62207618810e7e67dd62e3': List(Value('string')), '5c0f5f4574d94cdb1ab49870303dcae2': List(Value('string')), 'c8b112d6fd5df2b81367838ed82dc7e8': List(Value('string')), 'e1ad8c1a4073209f6d788b6dd2482f3e': List(Value('string')), '03aeffd48ba0cf0fe30bf43a093b2c15': List(Value('string')), '3a8632c2cf6968d4243c25ddc1a1a33a': List(Value('string')), '5c8e9bcd70f6b22a5eea547121df31f7': List(Value('string')), '0b5f25a4e0f9a1b862a817ce668272d9': List(Value('string')), '63948c4fdf6e9607ae085fcba4dcbd86': List(Value('string')), 'b9e4153acdde31206729fda
...
': List(Value('string')), '2422e4d13b9167aae99d051762422ac5': List(Value('string')), '7aa835b97b9a0997f2fad2325cc54fb8': List(Value('string')), '4e9777639c953fa795031023e6761c0f': List(Value('string')), 'f67e51877ac9375ca051f2426846f229': List(Value('string')), '80b1b6c26867014ce503d2b3fd41c596': List(Value('string')), '7746ea58e9d2dcab217b81d65d55a8e7': List(Value('string')), 'f636a0cfa86853e72b2ddf7fb2a132b2': List(Value('string')), 'f5efc8341de74023a1baec7785e70f13': List(Value('string')), 'b84235a143e39b62c5c4030cfab7d4f5': List(Value('string')), '19ce8db3fc006d70fe0c6b92a331a73e': List(Value('string')), '14b016dd40ff970a0e6f918982e9de32': List(Value('string')), 'b9bad56f7536c7c67dbca43ea9abae37': List(Value('string')), '12e1eb82eae52feaabdd667d7dba8ef0': List(Value('string')), 'd3932129ab2d633b00d15e18b0c9886c': List(Value('string')), '06c65464b59143498e94a7358f7529d0': List(Value('string')), '58209379d126f67092cb5f75c9ce3879': List(Value('string')), '5bdc610450e334e4d69d7f5fd8162df3': List(Value('string')), 'b8022378f0f5aa158ed2d54162e65255': List(Value('string')), '4015356d78e9e891c6f3911ff18e8b85': List(Value('string')), '0f8745a4180df160b1dcea9fca351a12': List(Value('string')), 'd8c863b0d490d682a6fde48183488a5d': List(Value('string')), '30457ffab9af350c99a4db2dfcd20085': List(Value('string')), 'b7c9068760e7bd55be51da3794057d8e': List(Value('string')), '49360f3e1a73bead2901c2a9ffb8f55b': List(Value('string')), 'c278a03ee7787f0c464cc90ebbf92cca': List(Value('string'))}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<efbbb22cc169244a1d31be0fc6e34ef9: list<item: string>, d12486711097e98f3ca95158849a773d: list<item: string>, f5f0842dbf8f0a518b1d7518c5da76d2: list<item: string>, 87e11245eb9e0f27619c673933b173cf: list<item: string>, 9031e34de71f880912461f69e53a744c: list<item: string>, 2422e4d13b9167aae99d051762422ac5: list<item: string>, f636a0cfa86853e72b2ddf7fb2a132b2: list<item: string>, 19ce8db3fc006d70fe0c6b92a331a73e: list<item: string>, 4015356d78e9e891c6f3911ff18e8b85: list<item: string>, b054a05918c9258281716a40d60004e4: list<item: string>, 7c21eebe964df735a8ceec4f6d8f284e: list<item: string>, 37b15006d84eea5dadbf5a1ec9bde7e9: list<item: string>, cd95dab53ab8425597f349be31b6ab67: list<item: string>, c8b112d6fd5df2b81367838ed82dc7e8: list<item: string>, 3a8632c2cf6968d4243c25ddc1a1a33a: list<item: string>, b22ba6958b069f61616dba753fd43918: list<item: string>, ebbd3ad29eba54a8d7f315d061eb0954: list<item: string>, abc13dab60d7133df903319c1fff8a59: list<item: string>, 3e0d9905b84ff7076b1357939a67ae75: list<item: string>, 1504ff23cd109991e6b6fda927490296: list<item: string>, c547568bb068a034b38a52a83dcd63db: list<item: string>, f2d1d40aa754b4dce2fe03a93168a71e: list<item: string>, 0fcf84299feb8e45addf56d4d692f44b: list<item: string>, 9be2d4d3451db3098a385522ec5de14c: list<item: string>, 65c45b47b254190a0336dd75debc3893: list<item: string>, 979f1b09d0a682663dcc95a08a4f6295: list<item: string>, c2280479a0eaf598963556601bf77c4e: list<item: string>, dada3f5d517e207bcb4793fe0e8300ca: l
              ...
              00d7107ae19c5a1961bbb: list<item: string>, c00a5f7dd1596575dc786932a82bf5e0: list<item: string>, fb883fc436ab0c25d1b374686426ee11: list<item: string>, c3ce9036ed3366ffb51438f1cf432563: list<item: string>, 2f2063d7c65c605013b4271666c26ef4: list<item: string>, f0e2848b232684edff253574f4132f1e: list<item: string>, 0b7d70225eeef5ce34a66eb193a9cefd: list<item: string>, 1653d4ab58d646499bfe176ec1687249: list<item: string>, 470170b4c2ed0ed6dda466416bdf4f8c: list<item: string>, 36456b09bcbd87a7d55c86836b0f6111: list<item: string>, 5dab5260d11ca6111ee83ee29956bdaa: list<item: string>, 0ce098feec75c6681213d3d0f85eb872: list<item: string>, e1a9210f144ceb6a9c487457b8ae919c: list<item: string>, a1be06c77598dbc17e8f69f14043d433: list<item: string>, c452c295622362177f5c5da959b3df96: list<item: string>, e351a02e8da8d5a17d7fe00b78e96ffc: list<item: string>, 44178c747167ebd98fb50c3980d785ba: list<item: string>, 05dc78b4db681b47de503ccef54104ea: list<item: string>, ffe50990c8085148a4d9768b33cee854: list<item: string>, e23b36dc443b15fead1f6b2124a4d029: list<item: string>, 75b9a998d977283ae4984334db291f50: list<item: string>, 6db341c7d9936046689887d9e193a651: list<item: string>, 7d3a3dc2e3421f183053bdd9209fb880: list<item: string>, 22b69202c899a40cea18885c46dc19cf: list<item: string>, dfed04256b6a717bd5ad191cb4535a41: list<item: string>, c44d15135542f7393c11dc625c8ee4bb: list<item: string>, c916b5f8e5d69442c153f4af247a16f3: list<item: string>, 3b0f9687030f78f00a3cb4f80c1d7929: list<item: string>>
              to
              {'d36d7de1aa6cbe19c7c3cb88d5831cf3': List(Value('string')), 'b054a05918c9258281716a40d60004e4': List(Value('string')), '7c21eebe964df735a8ceec4f6d8f284e': List(Value('string')), 'f1a7da2f74314b980c24a917315c945f': List(Value('string')), '3d8d330e92958f0a6a228164de241702': List(Value('string')), 'f6f7bbbcbeca69309136d0ea859605b8': List(Value('string')), '10ef881ca7235d8fc25393319898bcd8': List(Value('string')), 'db63e16b39e7dc279e541251228937af': List(Value('string')), '37b15006d84eea5dadbf5a1ec9bde7e9': List(Value('string')), '0d251fd30e27d972c2c9ffe67d9eed8d': List(Value('string')), 'fb7eb7a30e03f84a19e4dbc0c594c9f1': List(Value('string')), '412f60ffdce13933d3595590c3933824': List(Value('string')), '43be0aba9f62093bbc77d6f999f330f8': List(Value('string')), 'cd95dab53ab8425597f349be31b6ab67': List(Value('string')), '761df6de775e6659fbbf0fd8ad071cb3': List(Value('string')), '9031e34de71f880912461f69e53a744c': List(Value('string')), '8ea00c258d62207618810e7e67dd62e3': List(Value('string')), '5c0f5f4574d94cdb1ab49870303dcae2': List(Value('string')), 'c8b112d6fd5df2b81367838ed82dc7e8': List(Value('string')), 'e1ad8c1a4073209f6d788b6dd2482f3e': List(Value('string')), '03aeffd48ba0cf0fe30bf43a093b2c15': List(Value('string')), '3a8632c2cf6968d4243c25ddc1a1a33a': List(Value('string')), '5c8e9bcd70f6b22a5eea547121df31f7': List(Value('string')), '0b5f25a4e0f9a1b862a817ce668272d9': List(Value('string')), '63948c4fdf6e9607ae085fcba4dcbd86': List(Value('string')), 'b9e4153acdde31206729fda
              ...
              ': List(Value('string')), '2422e4d13b9167aae99d051762422ac5': List(Value('string')), '7aa835b97b9a0997f2fad2325cc54fb8': List(Value('string')), '4e9777639c953fa795031023e6761c0f': List(Value('string')), 'f67e51877ac9375ca051f2426846f229': List(Value('string')), '80b1b6c26867014ce503d2b3fd41c596': List(Value('string')), '7746ea58e9d2dcab217b81d65d55a8e7': List(Value('string')), 'f636a0cfa86853e72b2ddf7fb2a132b2': List(Value('string')), 'f5efc8341de74023a1baec7785e70f13': List(Value('string')), 'b84235a143e39b62c5c4030cfab7d4f5': List(Value('string')), '19ce8db3fc006d70fe0c6b92a331a73e': List(Value('string')), '14b016dd40ff970a0e6f918982e9de32': List(Value('string')), 'b9bad56f7536c7c67dbca43ea9abae37': List(Value('string')), '12e1eb82eae52feaabdd667d7dba8ef0': List(Value('string')), 'd3932129ab2d633b00d15e18b0c9886c': List(Value('string')), '06c65464b59143498e94a7358f7529d0': List(Value('string')), '58209379d126f67092cb5f75c9ce3879': List(Value('string')), '5bdc610450e334e4d69d7f5fd8162df3': List(Value('string')), 'b8022378f0f5aa158ed2d54162e65255': List(Value('string')), '4015356d78e9e891c6f3911ff18e8b85': List(Value('string')), '0f8745a4180df160b1dcea9fca351a12': List(Value('string')), 'd8c863b0d490d682a6fde48183488a5d': List(Value('string')), '30457ffab9af350c99a4db2dfcd20085': List(Value('string')), 'b7c9068760e7bd55be51da3794057d8e': List(Value('string')), '49360f3e1a73bead2901c2a9ffb8f55b': List(Value('string')), 'c278a03ee7787f0c464cc90ebbf92cca': List(Value('string'))}

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YAML Metadata Warning:The task_categories "image-retrieval" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Chrisyichuan/screenshot-training

Wikipedia screenshot retrieval training dataset exported from local hard-negative mining.

train.jsonl / train_hn.jsonl
eval.jsonl / eval_hn.jsonl
test.jsonl / test_hn.jsonl
images/

Each metadata row has the form:

{
  "query": "...",
  "chunk_path": "images/shard_123/shard_00001/123456.png.tiles/chunk_0000_00.png",
  "neg_chunk_paths": [
    "images/shard_234/shard_00002/234567.png.tiles/chunk_0000_01.png"
  ],
  "split": "train"
}

Split sizes

train: 44118
eval: 2451
test: 2451

Notes

Image paths are stored relative to the dataset root.
The source images were deduplicated before export so repeated hard negatives only upload once.
This export was prepared from the first 5 filtered hard-negative chunks.

Image Storage

The images are stored as 1000 tar shards under image_shards/ to keep the repository file count low and make uploads/downloads more reliable.

To materialize the images locally after download:

python extract_hf_image_shards.py --dataset-dir .

Downloads last month: 1,654

Total file size:

47.1 GB

Chrisyichuan/screenshot-training

Contents

Split sizes

Notes

Image Storage