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"text": "SWE-smith 6p6 v3-pure_easy episode 0: sqlfluff__sqlfluff.50a1c4b6 -> jsvine__pdfplumber.02ff4313."
}
]
}
] | {
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"sqlfluff__sqlfluff.50a1c4b6.func_ba... |
[
{
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{
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"text": "SWE-smith 6p6 v3-pure_easy episode 1: getnikola__nikola.0f4c230e -> getmoto__moto.694ce1f4."
}
]
}
] | {
"split": "train",
"episode_index": 1,
"repoA": "getnikola__nikola.0f4c230e",
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"getnikola__nikola.0f4c230e.func_pm_ctrl_shuffle__2rzsbu0p",
"getnikola__nikola.0f4c230e.func_pm_ctrl_sh... |
[
{
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"content": [
{
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"text": "SWE-smith 6p6 v3-pure_easy episode 2: cantools__cantools.0c6a7871 -> bottlepy__bottle.a8dfef30."
}
]
}
] | {
"split": "train",
"episode_index": 2,
"repoA": "cantools__cantools.0c6a7871",
"repoB": "bottlepy__bottle.a8dfef30",
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"cantools__cantools.0c6a7871.func_pm_ctrl_shuffle__3tx5bog2",
"cantools__cantools.0c6a7871.func_pm_... |
[
{
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"content": [
{
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"text": "SWE-smith 6p6 v3-pure_easy episode 3: tobymao__sqlglot.036601ba -> pyupio__safety.7654596b."
}
]
}
] | {
"split": "train",
"episode_index": 3,
"repoA": "tobymao__sqlglot.036601ba",
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"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__0dz45k52",
"tobymao__sqlglot.036601ba.func_pm_op_swap__oj... |
[
{
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"content": [
{
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"text": "SWE-smith 6p6 v3-pure_easy episode 4: tobymao__sqlglot.036601ba -> sunpy__sunpy.f8edfd5c."
}
]
}
] | {
"split": "train",
"episode_index": 4,
"repoA": "tobymao__sqlglot.036601ba",
"repoB": "sunpy__sunpy.f8edfd5c",
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"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__r2awnza2",
"tobymao__sqlglot.036601ba.func_pm_op_swap__j3dh... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 5: stanfordnlp__dspy.651a4c71 -> pydata__patsy.a5d16484."
}
]
}
] | {
"split": "train",
"episode_index": 5,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "pydata__patsy.a5d16484",
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"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__ubp182d2",
"stanfordnlp__dspy.651a4c71.func_pm_op_swap_... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 6: pydicom__pydicom.7d361b3d -> lincolnloop__python-qrcode.456b01d4."
}
]
}
] | {
"split": "train",
"episode_index": 6,
"repoA": "pydicom__pydicom.7d361b3d",
"repoB": "lincolnloop__python-qrcode.456b01d4",
"instance_ids": [
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"pydicom__pydicom.7d361b3d.func_pm_ctrl_shuffle__7s17evwy",
"pydicom__pydicom.7d361b3d.func_p... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 7: python-openxml__python-docx.0cf6d71f -> pyupio__safety.7654596b."
}
]
}
] | {
"split": "train",
"episode_index": 7,
"repoA": "python-openxml__python-docx.0cf6d71f",
"repoB": "pyupio__safety.7654596b",
"instance_ids": [
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"python-openxml__python-docx.0cf6d71f.func_pm_class_rm_base__tml5x80w",
"python-ope... |
[
{
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"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 8: tobymao__sqlglot.036601ba -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
] | {
"split": "train",
"episode_index": 8,
"repoA": "tobymao__sqlglot.036601ba",
"repoB": "sqlfluff__sqlfluff.50a1c4b6",
"instance_ids": [
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__muhjoegj",
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__28qaqp1s",
"tobymao__sqlglot.036601ba.func_pm_op_swap... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 9: pydicom__pydicom.7d361b3d -> pandas-dev__pandas.95280573."
}
]
}
] | {
"split": "train",
"episode_index": 9,
"repoA": "pydicom__pydicom.7d361b3d",
"repoB": "pandas-dev__pandas.95280573",
"instance_ids": [
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"pydicom__pydicom.7d361b3d.func_pm_ctrl_shuffle__ez54zxsx",
"pydicom__pydicom.7d361b3d.func_pm_ctrl_s... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 10: sunpy__sunpy.f8edfd5c -> pydata__patsy.a5d16484."
}
]
}
] | {
"split": "train",
"episode_index": 10,
"repoA": "sunpy__sunpy.f8edfd5c",
"repoB": "pydata__patsy.a5d16484",
"instance_ids": [
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"sunpy__sunpy.f8edfd5c.func_pm_ctrl_shuffle__mbbqwqt7",
"sunpy__sunpy.f8edfd5c.func_pm_op_swap__5jq5ec8f",
"su... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 11: stanfordnlp__dspy.651a4c71 -> scanny__python-pptx.278b47b1."
}
]
}
] | {
"split": "train",
"episode_index": 11,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "scanny__python-pptx.278b47b1",
"instance_ids": [
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__0mivads3",
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__6fqcm821",
"stanfordnlp__dspy.651a4c71.func_pm_o... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 12: stanfordnlp__dspy.651a4c71 -> tobymao__sqlglot.036601ba."
}
]
}
] | {
"split": "train",
"episode_index": 12,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "tobymao__sqlglot.036601ba",
"instance_ids": [
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"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__d4sqp60n",
"stanfordnlp__dspy.651a4c71.func_pm_op_s... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 13: facebookresearch__hydra.0f03eb60 -> marshmallow-code__marshmallow.9716fc62."
}
]
}
] | {
"split": "train",
"episode_index": 13,
"repoA": "facebookresearch__hydra.0f03eb60",
"repoB": "marshmallow-code__marshmallow.9716fc62",
"instance_ids": [
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"facebookresearch__hydra.0f03eb60.func_pm_ctrl_shuffle__s3lq4kes",
"facebook... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 14: tobymao__sqlglot.036601ba -> stanfordnlp__dspy.651a4c71."
}
]
}
] | {
"split": "train",
"episode_index": 14,
"repoA": "tobymao__sqlglot.036601ba",
"repoB": "stanfordnlp__dspy.651a4c71",
"instance_ids": [
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"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__hgr8n2rd",
"tobymao__sqlglot.036601ba.func_pm_op_swap... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 15: getmoto__moto.694ce1f4 -> stanfordnlp__dspy.651a4c71."
}
]
}
] | {
"split": "train",
"episode_index": 15,
"repoA": "getmoto__moto.694ce1f4",
"repoB": "stanfordnlp__dspy.651a4c71",
"instance_ids": [
"getmoto__moto.694ce1f4.func_pm_ctrl_shuffle__jtzhn0kb",
"getmoto__moto.694ce1f4.func_pm_ctrl_shuffle__bn6jkok1",
"getmoto__moto.694ce1f4.func_pm_op_swap__uurg8qms",... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 16: facebookresearch__hydra.0f03eb60 -> python-trio__trio.cfbbe2c1."
}
]
}
] | {
"split": "train",
"episode_index": 16,
"repoA": "facebookresearch__hydra.0f03eb60",
"repoB": "python-trio__trio.cfbbe2c1",
"instance_ids": [
"facebookresearch__hydra.0f03eb60.func_pm_ctrl_shuffle__5xhms4jx",
"facebookresearch__hydra.0f03eb60.func_pm_op_swap__r9vp24ld",
"facebookresearch__hydra.0... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 17: stanfordnlp__dspy.651a4c71 -> mahmoud__glom.fb3c4e76."
}
]
}
] | {
"split": "train",
"episode_index": 17,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "mahmoud__glom.fb3c4e76",
"instance_ids": [
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__sji1stgx",
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__pcx7z0tq",
"stanfordnlp__dspy.651a4c71.func_pm_op_swap... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 18: tobymao__sqlglot.036601ba -> sunpy__sunpy.f8edfd5c."
}
]
}
] | {
"split": "train",
"episode_index": 18,
"repoA": "tobymao__sqlglot.036601ba",
"repoB": "sunpy__sunpy.f8edfd5c",
"instance_ids": [
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__hy676ozr",
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__6kneqyly",
"tobymao__sqlglot.036601ba.func_pm_op_swap__1co... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 19: cantools__cantools.0c6a7871 -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
] | {
"split": "train",
"episode_index": 19,
"repoA": "cantools__cantools.0c6a7871",
"repoB": "sqlfluff__sqlfluff.50a1c4b6",
"instance_ids": [
"cantools__cantools.0c6a7871.func_pm_class_rm_base__shirj7f8",
"cantools__cantools.0c6a7871.func_pm_ctrl_shuffle__jjms19tk",
"cantools__cantools.0c6a7871.func_... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 20: getnikola__nikola.0f4c230e -> agronholm__typeguard.b6a7e438."
}
]
}
] | {
"split": "train",
"episode_index": 20,
"repoA": "getnikola__nikola.0f4c230e",
"repoB": "agronholm__typeguard.b6a7e438",
"instance_ids": [
"getnikola__nikola.0f4c230e.func_pm_class_rm_base__zv7x95s1",
"getnikola__nikola.0f4c230e.func_pm_ctrl_shuffle__52t0srfq",
"getnikola__nikola.0f4c230e.func_pm... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 21: tox-dev__pipdeptree.c31b6418 -> tkrajina__gpxpy.09fc46b3."
}
]
}
] | {
"split": "train",
"episode_index": 21,
"repoA": "tox-dev__pipdeptree.c31b6418",
"repoB": "tkrajina__gpxpy.09fc46b3",
"instance_ids": [
"tox-dev__pipdeptree.c31b6418.func_pm_ctrl_shuffle__2qs7tm78",
"tox-dev__pipdeptree.c31b6418.func_pm_ctrl_shuffle__lzow974d",
"tox-dev__pipdeptree.c31b6418.func_... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 22: pyasn1__pyasn1.0f07d724 -> pylint-dev__astroid.b114f6b5."
}
]
}
] | {
"split": "train",
"episode_index": 22,
"repoA": "pyasn1__pyasn1.0f07d724",
"repoB": "pylint-dev__astroid.b114f6b5",
"instance_ids": [
"pyasn1__pyasn1.0f07d724.func_pm_class_rm_base__85i1vu5v",
"pyasn1__pyasn1.0f07d724.func_pm_ctrl_shuffle__og09vpr1",
"pyasn1__pyasn1.0f07d724.func_pm_ctrl_shuffle... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 23: getnikola__nikola.0f4c230e -> davidhalter__parso.338a5760."
}
]
}
] | {
"split": "train",
"episode_index": 23,
"repoA": "getnikola__nikola.0f4c230e",
"repoB": "davidhalter__parso.338a5760",
"instance_ids": [
"getnikola__nikola.0f4c230e.func_pm_class_rm_base__ugtpdds5",
"getnikola__nikola.0f4c230e.func_pm_ctrl_shuffle__obsyfesy",
"getnikola__nikola.0f4c230e.func_pm_c... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 24: pydicom__pydicom.7d361b3d -> python-trio__trio.cfbbe2c1."
}
]
}
] | {
"split": "train",
"episode_index": 24,
"repoA": "pydicom__pydicom.7d361b3d",
"repoB": "python-trio__trio.cfbbe2c1",
"instance_ids": [
"pydicom__pydicom.7d361b3d.func_pm_class_rm_base__ixr5vmp0",
"pydicom__pydicom.7d361b3d.func_pm_ctrl_shuffle__f54bceaa",
"pydicom__pydicom.7d361b3d.func_pm_ctrl_s... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 25: jsvine__pdfplumber.02ff4313 -> mahmoud__glom.fb3c4e76."
}
]
}
] | {
"split": "train",
"episode_index": 25,
"repoA": "jsvine__pdfplumber.02ff4313",
"repoB": "mahmoud__glom.fb3c4e76",
"instance_ids": [
"jsvine__pdfplumber.02ff4313.func_pm_ctrl_shuffle__s3znvkww",
"jsvine__pdfplumber.02ff4313.func_pm_ctrl_shuffle__11erfx0f",
"jsvine__pdfplumber.02ff4313.func_pm_op_... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 26: stanfordnlp__dspy.651a4c71 -> tkrajina__gpxpy.09fc46b3."
}
]
}
] | {
"split": "train",
"episode_index": 26,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "tkrajina__gpxpy.09fc46b3",
"instance_ids": [
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__qj8qk49d",
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__9vrowf4m",
"stanfordnlp__dspy.651a4c71.func_pm_op_sw... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 27: sqlfluff__sqlfluff.50a1c4b6 -> pygments__pygments.27649ebb."
}
]
}
] | {
"split": "train",
"episode_index": 27,
"repoA": "sqlfluff__sqlfluff.50a1c4b6",
"repoB": "pygments__pygments.27649ebb",
"instance_ids": [
"sqlfluff__sqlfluff.50a1c4b6.func_pm_class_rm_base__douvpad1",
"sqlfluff__sqlfluff.50a1c4b6.func_pm_ctrl_shuffle__5sawwbgv",
"sqlfluff__sqlfluff.50a1c4b6.func_... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 28: tobymao__sqlglot.036601ba -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
] | {
"split": "train",
"episode_index": 28,
"repoA": "tobymao__sqlglot.036601ba",
"repoB": "sqlfluff__sqlfluff.50a1c4b6",
"instance_ids": [
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__664ik2sv",
"tobymao__sqlglot.036601ba.func_pm_ctrl_shuffle__5is2yuhx",
"tobymao__sqlglot.036601ba.func_pm_op_swa... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 29: stanfordnlp__dspy.651a4c71 -> pandas-dev__pandas.95280573."
}
]
}
] | {
"split": "train",
"episode_index": 29,
"repoA": "stanfordnlp__dspy.651a4c71",
"repoB": "pandas-dev__pandas.95280573",
"instance_ids": [
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__1ufdmxxq",
"stanfordnlp__dspy.651a4c71.func_pm_ctrl_shuffle__jvnfrscc",
"stanfordnlp__dspy.651a4c71.func_pm_op... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 30: pyupio__safety.7654596b -> oauthlib__oauthlib.1fd52536."
}
]
}
] | {
"split": "train",
"episode_index": 30,
"repoA": "pyupio__safety.7654596b",
"repoB": "oauthlib__oauthlib.1fd52536",
"instance_ids": [
"pyupio__safety.7654596b.func_pm_ctrl_shuffle__v1t0u6q6",
"pyupio__safety.7654596b.func_pm_ctrl_shuffle__ra8br0at",
"pyupio__safety.7654596b.func_basic__ufvxw9yr",... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-pure_easy episode 31: cantools__cantools.0c6a7871 -> tkrajina__gpxpy.09fc46b3."
}
]
}
] | {
"split": "train",
"episode_index": 31,
"repoA": "cantools__cantools.0c6a7871",
"repoB": "tkrajina__gpxpy.09fc46b3",
"instance_ids": [
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"cantools__cantools.0c6a7871.func_pm_ctrl_shuffle__xxzrnvhn",
"cantools__cantools.0c6a7871.func_basi... |
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}
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}
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"text": "SWE-smith 6p6 v3-pure_easy episode 33: pydata__patsy.a5d16484 -> getnikola__nikola.0f4c230e."
}
]
}
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}
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}
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"text": "SWE-smith 6p6 v3-pure_easy episode 35: getmoto__moto.694ce1f4 -> davidhalter__parso.338a5760."
}
]
}
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"getmoto__moto.694ce1f4.func_pm_op_swap__t6epxdfm"... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 36: pandas-dev__pandas.95280573 -> pallets__click.fde47b4b."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 37: stanfordnlp__dspy.651a4c71 -> getmoto__moto.694ce1f4."
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 38: stanfordnlp__dspy.651a4c71 -> cantools__cantools.0c6a7871."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 39: seperman__deepdiff.ed252022 -> sunpy__sunpy.f8edfd5c."
}
]
}
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"seperman__deepdiff.ed252022.func_basic__9a72o0vr",... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 40: sqlfluff__sqlfluff.50a1c4b6 -> sunpy__sunpy.f8edfd5c."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 41: seperman__deepdiff.ed252022 -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 42: pydantic__pydantic.acb0f10f -> pallets__jinja.ada0a9a6."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 43: sqlfluff__sqlfluff.50a1c4b6 -> pydata__patsy.a5d16484."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 44: tkrajina__gpxpy.09fc46b3 -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 45: python-trio__trio.cfbbe2c1 -> pydata__patsy.a5d16484."
}
]
}
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"python-trio__trio.cfbbe2c1.func_basic__nx... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 46: agronholm__typeguard.b6a7e438 -> sqlfluff__sqlfluff.50a1c4b6."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 47: pygments__pygments.27649ebb -> pylint-dev__astroid.b114f6b5."
}
]
}
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{
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"text": "SWE-smith 6p6 v3-pure_easy episode 48: scanny__python-pptx.278b47b1 -> pdfminer__pdfminer.six.1a8bd2f7."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 49: pyupio__safety.7654596b -> pydicom__pydicom.7d361b3d."
}
]
}
] | {
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"pyupio__safety.7654596b.func_basic__1x5ey1qs",
... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 50: iterative__dvc.1d6ea681 -> mahmoud__glom.fb3c4e76."
}
]
}
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"iterative__dvc.1d6ea681.func_pm_ctrl_shuffle__5vg... |
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{
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"text": "SWE-smith 6p6 v3-pure_easy episode 51: getnikola__nikola.0f4c230e -> davidhalter__parso.338a5760."
}
]
}
] | {
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"getnikola__nikola.0f4c230e.func_pm_c... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 52: stanfordnlp__dspy.651a4c71 -> python-trio__trio.cfbbe2c1."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 53: tkrajina__gpxpy.09fc46b3 -> Cog-Creators__Red-DiscordBot.33e0eac7."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 54: getnikola__nikola.0f4c230e -> pydata__patsy.a5d16484."
}
]
}
] | {
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"getnikola__nikola.0f4c230e.func_pm_op_swap... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 55: oauthlib__oauthlib.1fd52536 -> life4__textdistance.c3aca916."
}
]
}
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"oauthlib__oauthlib.1fd52536.func... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 56: seperman__deepdiff.ed252022 -> pydata__patsy.a5d16484."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 57: stanfordnlp__dspy.651a4c71 -> pydata__patsy.a5d16484."
}
]
}
] | {
"split": "train",
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"stanfordnlp__dspy.651a4c71.func_pm_op_swap... |
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"text": "SWE-smith 6p6 v3-pure_easy episode 58: getmoto__moto.694ce1f4 -> jsvine__pdfplumber.02ff4313."
}
]
}
] | {
"split": "train",
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"text": "SWE-smith 6p6 v3-pure_easy episode 59: sqlfluff__sqlfluff.50a1c4b6 -> pydata__patsy.a5d16484."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 60: stanfordnlp__dspy.651a4c71 -> jsvine__pdfplumber.02ff4313."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-pure_easy episode 61: pdfminer__pdfminer.six.1a8bd2f7 -> pyasn1__pyasn1.0f07d724."
}
]
}
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"text": "SWE-smith 6p6 v3-pure_easy episode 62: stanfordnlp__dspy.651a4c71 -> pydata__patsy.a5d16484."
}
]
}
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"stanfordnlp__dspy.651a4c71.func_pm_op_swap... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 0: pandas-dev__pandas.95280573 -> cantools__cantools.0c6a7871."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 1: benoitc__gunicorn.bacbf8aa -> tobymao__sqlglot.036601ba."
}
]
}
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"benoitc__gunicorn.bacbf8aa.func_basic__catzjc0w",... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 2: cantools__cantools.0c6a7871 -> seperman__deepdiff.ed252022."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 3: cantools__cantools.0c6a7871 -> alecthomas__voluptuous.a7a55f83."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 4: pydicom__pydicom.7d361b3d -> pylint-dev__astroid.b114f6b5."
}
]
}
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}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 6: encode__starlette.db5063c2 -> pyupio__safety.7654596b."
}
]
}
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... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 7: msiemens__tinydb.10644a0e -> mahmoud__glom.fb3c4e76."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-easy_mid episode 8: benoitc__gunicorn.bacbf8aa -> graphql-python__graphene.82903263."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 9: pdfminer__pdfminer.six.1a8bd2f7 -> pylint-dev__astroid.b114f6b5."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-easy_mid episode 10: sunpy__sunpy.f8edfd5c -> tweepy__tweepy.91a41c6e."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 11: python-openxml__python-docx.0cf6d71f -> pyasn1__pyasn1.0f07d724."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 12: seperman__deepdiff.ed252022 -> python-openxml__python-docx.0cf6d71f."
}
]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 13: sqlfluff__sqlfluff.50a1c4b6 -> stanfordnlp__dspy.651a4c71."
}
]
}
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"sqlfluff__sqlfluff.50a1c4b6.func_basic__imrgd... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 14: oauthlib__oauthlib.1fd52536 -> mido__mido.a0158ff9."
}
]
}
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[
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"text": "SWE-smith 6p6 v3-easy_mid episode 15: pallets__jinja.ada0a9a6 -> pandas-dev__pandas.95280573."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-easy_mid episode 16: scanny__python-pptx.278b47b1 -> python-trio__trio.cfbbe2c1."
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]
}
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]
}
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"text": "SWE-smith 6p6 v3-easy_mid episode 18: mido__mido.a0158ff9 -> oauthlib__oauthlib.1fd52536."
}
]
}
] | {
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"mido__mido.a0158ff9.... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 19: sqlfluff__sqlfluff.50a1c4b6 -> tkrajina__gpxpy.09fc46b3."
}
]
}
] | {
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"sqlfluff__sqlfluff.50a1c4b6.func_basic__cyim5ke... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 20: python-openxml__python-docx.0cf6d71f -> rubik__radon.54b88e58."
}
]
}
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{
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"text": "SWE-smith 6p6 v3-easy_mid episode 21: oauthlib__oauthlib.1fd52536 -> seperman__deepdiff.ed252022."
}
]
}
] | {
"split": "train",
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"oauthlib__oauthlib.1fd52536.func_basic__z3rf... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 22: seperman__deepdiff.ed252022 -> python-trio__trio.cfbbe2c1."
}
]
}
] | {
"split": "train",
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"seperman__deepdiff.ed252022.func_basic__gsago... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 23: stanfordnlp__dspy.651a4c71 -> tobymao__sqlglot.036601ba."
}
]
}
] | {
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"stanfordnlp__dspy.651a4c71.func_pm_op_change... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 24: marshmallow-code__webargs.dbde72fe -> pallets__jinja.ada0a9a6."
}
]
}
] | {
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"marshmallow-code__webargs.d... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 25: oauthlib__oauthlib.1fd52536 -> scanny__python-pptx.278b47b1."
}
]
}
] | {
"split": "train",
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"oauthlib__oauthlib.1fd52536.func_basic__jvi... |
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{
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"text": "SWE-smith 6p6 v3-easy_mid episode 26: pylint-dev__astroid.b114f6b5 -> scanny__python-pptx.278b47b1."
}
]
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] | {
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{
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{
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"text": "SWE-smith 6p6 v3-easy_mid episode 27: cantools__cantools.0c6a7871 -> pydicom__pydicom.7d361b3d."
}
]
}
] | {
"split": "train",
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"cantools__cantools.0c6a7871.func_basic__wdd8g9... |
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{
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"text": "SWE-smith 6p6 v3-easy_mid episode 28: scanny__python-pptx.278b47b1 -> python-openxml__python-docx.0cf6d71f."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-easy_mid episode 29: tkrajina__gpxpy.09fc46b3 -> tweepy__tweepy.91a41c6e."
}
]
}
] | {
"split": "train",
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"text": "SWE-smith 6p6 v3-easy_mid episode 30: arrow-py__arrow.1d70d009 -> benoitc__gunicorn.bacbf8aa."
}
]
}
] | {
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"text": "SWE-smith 6p6 v3-easy_mid episode 31: cantools__cantools.0c6a7871 -> pydata__patsy.a5d16484."
}
]
}
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"cantools__cantools.0c6a7871.func_basic__yzchw87v"... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 32: tobymao__sqlglot.036601ba -> stanfordnlp__dspy.651a4c71."
}
]
}
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"tobymao__sqlglot.036601ba.func_pm_op_swap... |
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"text": "SWE-smith 6p6 v3-easy_mid episode 33: pandas-dev__pandas.95280573 -> pallets__jinja.ada0a9a6."
}
]
}
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"pandas-dev__pandas.95280573.func_pm_ctrl_shuffle__fspootx7",
"pandas-dev__pandas.95280573.func_pm_ctrl_shuffle__j5qxd3ph",
"pandas-dev__pandas.95280573.func_pm_op... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-easy_mid episode 34: marshmallow-code__webargs.dbde72fe -> paramiko__paramiko.23f92003."
}
]
}
] | {
"split": "train",
"episode_index": 97,
"repoA": "marshmallow-code__webargs.dbde72fe",
"repoB": "paramiko__paramiko.23f92003",
"instance_ids": [
"marshmallow-code__webargs.dbde72fe.func_pm_ctrl_shuffle__fd8s3l36",
"marshmallow-code__webargs.dbde72fe.func_basic__5iu4n2r6",
"marshmallow-code__webar... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-easy_mid episode 35: scanny__python-pptx.278b47b1 -> pandas-dev__pandas.95280573."
}
]
}
] | {
"split": "train",
"episode_index": 98,
"repoA": "scanny__python-pptx.278b47b1",
"repoB": "pandas-dev__pandas.95280573",
"instance_ids": [
"scanny__python-pptx.278b47b1.func_pm_ctrl_shuffle__od06eu84",
"scanny__python-pptx.278b47b1.func_basic__6cmjnw5h",
"scanny__python-pptx.278b47b1.func_basic__... |
[
{
"role": "user",
"content": [
{
"type": "text",
"text": "SWE-smith 6p6 v3-easy_mid episode 36: rubik__radon.54b88e58 -> python-trio__trio.cfbbe2c1."
}
]
}
] | {
"split": "train",
"episode_index": 99,
"repoA": "rubik__radon.54b88e58",
"repoB": "python-trio__trio.cfbbe2c1",
"instance_ids": [
"rubik__radon.54b88e58.func_pm_class_rm_base__gpo18m4q",
"rubik__radon.54b88e58.func_pm_ctrl_shuffle__o0d8b882",
"rubik__radon.54b88e58.func_basic__d702etmm",
"ru... |
End of preview. Expand in Data Studio
Training Task Streams for Memory Writing
This repository contains the training task streams used in the blog post How to Train Memory Writing for Continual Learning. Each row of a train_streams.jsonl file is one stream: an ordered sequence of tasks that the model solves one after another, carrying a memory from each task to the next.
| Domain | File | Streams | Tasks per stream |
|---|---|---|---|
| Symbolic Alchemy | symbolic_alchemy/train_streams.jsonl |
950 | 10 |
| Codebase Adaptation | codebase_adaptation/train_streams.jsonl |
382 | 12 |
Symbolic Alchemy
Each stream is one prebuilt episode of the level perceptual_mapping_randomized_with_random_bottleneck shipped with dm_alchemy, which contains 1000 episodes with fixed chemistries. The 10 trials of an episode share the same chemistry and form the tasks of the stream, with at most 20 steps per trial.
metadata.episode_indexindexes the prebuilt episode set. Thepromptfield is a placeholder, since the environment state is rebuilt from the episode index.metadata.max_steps_per_trialis the step budget per task.metadata.rewrite_granularityistrial, meaning memory is written after every task.- The 20 episodes used for evaluation are excluded. Streams are ordered from easy to hard by the number of edges in the chemistry graph (12, 10, 9, 8, 7), and shuffled within each level.
Codebase Adaptation
Each stream contains 12 bug-fixing tasks: 6 issues from one Python repository (repoA) followed by 6 issues from another (repoB). The issues are synthetic bugs from SWE-smith, drawn from 53 repositories. The streams use 4584 distinct issues, and each issue appears in exactly one stream.
codebase_adaptation/train_streams.jsonl fields (under metadata):
instance_ids: the 12 issues in order.stage_labelsgives the repository of each issue andstrategiesthe SWE-smith bug-generation strategy.difficulty_tier: the composition of each 6-issue segment, with difficulty bucketed by the measured pass rate of the bug-generation strategy.pure_easy(63 streams) has 6 easy issues,easy_mid(138) has 3 easy and 3 medium, andmixed(181) has 2 easy, 2 medium and 2 hard. Within a segment, issues are ordered from easiest to hardest.
codebase_adaptation/tasks.jsonl has one record for each of the 4584 issues:
problem_statement: the issue text shown to the model.repo,base_commit: the SWE-smith mirror repository and the branch that holds the bug.image_name: the SWE-smith Docker image of the repository.FAIL_TO_PASS,PASS_TO_PASS: the tests used for grading.PASS_TO_PASSis restricted to tests in the same files as theFAIL_TO_PASStests.test_patch: restores the test files that SWE-smith removes from the bug branch, applied before grading.test_command,workdir,test_timeout: how the tests are run.strategy,tier,cluster,n_f2p,n_p2p_local: features used to build the streams.
Sources and licenses
The Codebase Adaptation tasks are derived from SWE-smith (MIT license). The Symbolic Alchemy streams index the prebuilt episodes of dm_alchemy, which are not redistributed here. Please also cite these works if you use the corresponding data.
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