Getitem

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Getitem

Returns	Batch Data^[10]
Returns	Data and Labels Tuple^[17]
Has Parameter	Idx^[1]
Has Parameter	Idx Param^[5]
Rdf:type	Dunder Method^[18]
Rdf:type	Magic Method^[23]
Returns Dict	true^[2]
Returns Dict	dict-with-query-and-passage^[13]
Accesses	Self Encodings^[1]
Accesses	Self Labels^[1]
Parameters	Idx^[7]
Parameters	idx^[21]
Is Method of	Custom Dataset^[12]
Is Method of	Dataset^[4]
Assigns Local	Label Local^[5]
Assigns Local	Query Local^[5]

ex:__getitem__

Getitem has 100 facts recorded in Dontopedia across 24 references, with 13 live disagreements.

100+ facts·28 predicates·24 sources·13 in dispute

Mostly:has parameter(21), returns(20), rdf:type(11)

Returnsin dispute`returns`

Batch Data^[10]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Data and Labels Tuple^[17]all time · 378e51ec 1014 441f Be28 B68581d5cdd0
Data and Labels Tuple^[9]all time · 2f5d2b56 4429 4f53 A7f1 9ec6c7da9ac1
Data Element^[12]all time · 2e7ff82a 8edd 4954 8426 135d89167cf1
Dict^[18]all time · 37089ae6 6ce4 42e5 87a2 1cfd71693a4d
Dict^[11]all time · 5a00c51f Dd1e 428b B79b 370b9163f60f
Dictionary^[3]all time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d
Dictionary^[8]all time · 726b2023 3e14 4535 B1b0 Ff2ac58bf4c5
Dictionary^[7]all time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a
Dictionary With Query and Label^[19]all time · 589ac63e 194c 400f A2f3 3b06bbc73235

Has Parameterin dispute`hasParameter`

Idx^[1]sourceall time · 14cf4eab A053 4cf0 B374 9022e5e69c19
Idx^[8]sourceall time · 726b2023 3e14 4535 B1b0 Ff2ac58bf4c5
Idx^[9]all time · 2f5d2b56 4429 4f53 A7f1 9ec6c7da9ac1
Idx^[3]sourceall time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d
Idx^[10]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Idx^[11]all time · 5a00c51f Dd1e 428b B79b 370b9163f60f
Idx^[12]sourceall time · 2e7ff82a 8edd 4954 8426 135d89167cf1
Idx Param^[5]all time · 4d47005b A1e7 4757 82f3 77722798dfec
Self^[10]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Self^[11]all time · 5a00c51f Dd1e 428b B79b 370b9163f60f

Rdf:typein dispute`rdf:type`

Dunder Method^[18]all time · 37089ae6 6ce4 42e5 87a2 1cfd71693a4d
Dunder Method^[4]all time · 465dcb64 9710 4e90 8651 452b28528272
Dunder Method^[22]all time · 380ef30f Ce7c 4304 96ef F350c5a62470
Magic Method^[23]all time · 3273ae1c 32c6 4028 9a0a B07bb3d1326a
Method^[23]all time · 3273ae1c 32c6 4028 9a0a B07bb3d1326a
Method^[10]all time · E8aa5db9 3e5f 4e4b B042 F2179d9b2b8f
Method^[12]all time · 2e7ff82a 8edd 4954 8426 135d89167cf1
Method^[6]all time · De26bd5a A2da 49d1 B64f C8f7fe98d1f8
Python Method^[16]all time · 2323ffff 3db7 4aa4 Aa6c D68d1e67f614
Python Method^[5]all time · 4d47005b A1e7 4757 82f3 77722798dfec

Returns Dictin dispute`returnsDict`

true^[2]all time · 005ea18e 35b1 4fe6 B22b 31bfd9596d26
true^[1]all time · 14cf4eab A053 4cf0 B374 9022e5e69c19
dict-with-query-and-passage^[13]all time · Fa1ef1c1 24c6 4f98 8255 600e4bf6a46c

Accessesin dispute`accesses`

Self Encodings^[1]sourceall time · 14cf4eab A053 4cf0 B374 9022e5e69c19
Self Labels^[1]sourceall time · 14cf4eab A053 4cf0 B374 9022e5e69c19
self.labels^[2]sourceall time · 005ea18e 35b1 4fe6 B22b 31bfd9596d26
self.queries^[2]sourceall time · 005ea18e 35b1 4fe6 B22b 31bfd9596d26

Parametersin dispute`parameters`

Idx^[7]all time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a
idx^[21]all time · 6517301a F64b 46b4 Aeb2 891cefe3c192
self^[21]all time · 6517301a F64b 46b4 Aeb2 891cefe3c192

Is Method ofin dispute`isMethodOf`

Custom Dataset^[12]sourceall time · 2e7ff82a 8edd 4954 8426 135d89167cf1
Dataset^[4]sourceall time · 465dcb64 9710 4e90 8651 452b28528272

Assigns Localin dispute`assignsLocal`

Label Local^[5]all time · 4d47005b A1e7 4757 82f3 77722798dfec
Query Local^[5]all time · 4d47005b A1e7 4757 82f3 77722798dfec

Local Variablesin dispute`localVariables`

Label^[7]sourceall time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a
Query^[7]sourceall time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a

Dictionary Keysin dispute`dictionary_keys`

Label^[7]sourceall time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a
Query^[7]sourceall time · 9944e8cd Df76 4ff8 9cde 146d0991ee1a

Dict Keyin dispute`dictKey`

query^[2]sourceall time · 005ea18e 35b1 4fe6 B22b 31bfd9596d26
label^[2]sourceall time · 005ea18e 35b1 4fe6 B22b 31bfd9596d26

Accesses Instance Variablein dispute`accessesInstanceVariable`

Self.contexts^[3]sourceall time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d
Self.labels^[3]sourceall time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d
Self.max Length^[3]sourceall time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d
Self.tokenizer^[3]sourceall time · C3f449b6 692f 4686 9fd2 1ddb94bd4d4d

Inbound mentions (25)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`hasMethod`Has Method(18)

Context Datasetex:ContextDataset
Context Datasetex:ContextDataset
Context Datasetex:ContextDataset
Context Window Datasetex:context-window-dataset
Custom Datasetex:custom-dataset
Custom Datasetex:CustomDataset
Custom Datasetex:CustomDataset
Custom Datasetex:CustomDataset
Custom Dataset Classex:custom-dataset-class
Dataset Classex:dataset-class
Query Datasetex:query-dataset
Query Datasetex:query-dataset
Query Datasetex:QueryDataset
Query Datasetex:QueryDataset
Query Dataset Classex:query-dataset-class
Query Dataset Classex:query_dataset_class
Token Datasetex:TokenDataset
Query Dataset Classquery-dataset-class

`hasGetItemMethod`Has Get Item Method(1)

Query Datasetquery-dataset

`implements`Implements(1)

Dense Retrieval Datasetex:dense-retrieval-dataset

`isInvokedBy`Is Invoked by(1)

Tokenizer Callex:tokenizer_call

`isRetrievedBy`Is Retrieved by(1)

Index Positionex:index_position

`is_used_in`Is Used in(1)

Idx Parameterex:idx_parameter

`method`Method(1)

Text Datasetex:TextDataset

`retrievedBy`Retrieved by(1)

Single Text Itemex:single-text-item

Other facts (24)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

24 facts

Predicate	Value	Ref
Passes Argument	padding='max_length'	[4]
Passes Argument	truncation=True	[4]
Passes Argument	return_tensors='pt'	[4]
Passes Argument	max_length=128	[4]
Rdfs:label	__getitem__	[11]
Rdfs:label	__getitem__	[5]
Rdfs:label	__getitem__	[16]
Rdfs:label	__getitem__	[3]
Rdfs:label	__getitem__	[18]
Parameter	Idx	[19]
Parameter	Idx	[20]
Converts to Tensor	Label Value	[1]
Belongs to	Query Dataset	[7]
Overrides	Dataset Getitem	[18]
Override	true	[6]
Belongs to	Context Dataset	[6]
Retrieves Element at	index_position	[4]
Is Invoked by	external_code	[4]
Implements Protocol	indexing_protocol	[4]
Constructs Return Dict	compressed_inputs	[4]
Applies Squeeze	dimension_0	[4]
Calls	Tokenizer	[4]
Retrieves	Single Text Item	[20]
Return	text-dictionary	[20]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

100 undated

—

accessesbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

ex:self_encodings

—

accessesbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

ex:self_labels

—

accessesbeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

self.labels

—

accessesbeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

self.queries

—

accessesInstanceVariablebeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:self.contexts

—

accessesInstanceVariablebeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:self.labels

—

accessesInstanceVariablebeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:self.max_length

—

accessesInstanceVariablebeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:self.tokenizer

—

appliesSqueezebeam/465dcb64-9710-4e90-8651-452b28528272

dimension_0

—

assignsLocalbeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:label-local

—

assignsLocalbeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:query-local

—

belongs_tobeam/de26bd5a-a2da-49d1-b64f-c8f7fe98d1f8

ex:ContextDataset

—

belongsTobeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:QueryDataset

—

callsbeam/465dcb64-9710-4e90-8651-452b28528272

ex:tokenizer

—

constructsReturnDictbeam/465dcb64-9710-4e90-8651-452b28528272

compressed_inputs

—

convertsToTensorbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

ex:label_value

—

dictionary_keysbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:label

—

dictionary_keysbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:query

—

dictKeybeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

query

—

dictKeybeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

label

—

hasParameterbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

ex:idx

—

hasParameterbeam/726b2023-3e14-4535-b1b0-ff2ac58bf4c5

ex:idx

—

hasParameterbeam/2f5d2b56-4429-4f53-a7f1-9ec6c7da9ac1

ex:idx

—

hasParameterbeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:idx

—

hasParameterbeam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f

ex:idx

—

hasParameterbeam/5a00c51f-dd1e-428b-b79b-370b9163f60f

ex:idx

—

hasParameterbeam/2e7ff82a-8edd-4954-8426-135d89167cf1

ex:idx

—

hasParameterbeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:idx-param

—

hasParameterbeam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f

ex:self

—

hasParameterbeam/5a00c51f-dd1e-428b-b79b-370b9163f60f

ex:self

—

hasParameterbeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:self-param

—

hasParameterbeam/fa1ef1c1-24c6-4f98-8255-600e4bf6a46c

self

—

hasParameterbeam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19

idx

—

hasParameterbeam/fa1ef1c1-24c6-4f98-8255-600e4bf6a46c

idx

—

hasParameterbeam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19

self

—

hasParameterbeam/9e2f0756-91ff-427f-8149-b3e2fc705863

idx

—

hasParameterbeam/2323ffff-3db7-4aa4-aa6c-d68d1e67f614

self

—

hasParameterbeam/465dcb64-9710-4e90-8651-452b28528272

self

—

hasParameterbeam/465dcb64-9710-4e90-8651-452b28528272

idx

—

hasParameterbeam/378e51ec-1014-441f-be28-b68581d5cdd0

idx

—

hasParameterbeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

idx

—

implementsProtocolbeam/465dcb64-9710-4e90-8651-452b28528272

indexing_protocol

—

isInvokedBybeam/465dcb64-9710-4e90-8651-452b28528272

external_code

—

isMethodOfbeam/2e7ff82a-8edd-4954-8426-135d89167cf1

ex:CustomDataset

—

isMethodOfbeam/465dcb64-9710-4e90-8651-452b28528272

ex:Dataset

—

localVariablesbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:label

—

localVariablesbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:query

—

overridebeam/de26bd5a-a2da-49d1-b64f-c8f7fe98d1f8

true

—

overridesbeam/37089ae6-6ce4-42e5-87a2-1cfd71693a4d

ex:dataset-getitem

—

parameterbeam/589ac63e-194c-400f-a2f3-3b06bbc73235

ex:idx

—

parameterbeam/193e4c1a-148c-43a3-a8dd-9dec5afc26ca

ex:idx

—

parametersbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:idx

—

parametersbeam/6517301a-f64b-46b4-aeb2-891cefe3c192

idx

—

parametersbeam/6517301a-f64b-46b4-aeb2-891cefe3c192

self

—

passesArgumentbeam/465dcb64-9710-4e90-8651-452b28528272

padding='max_length'

—

passesArgumentbeam/465dcb64-9710-4e90-8651-452b28528272

truncation=True

—

passesArgumentbeam/465dcb64-9710-4e90-8651-452b28528272

return_tensors='pt'

—

passesArgumentbeam/465dcb64-9710-4e90-8651-452b28528272

max_length=128

—

labelbeam/5a00c51f-dd1e-428b-b79b-370b9163f60f

__getitem__

—

labelbeam/4d47005b-a1e7-4757-82f3-77722798dfec

__getitem__

—

labelbeam/2323ffff-3db7-4aa4-aa6c-d68d1e67f614

__getitem__

—

labelbeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

__getitem__

—

labelbeam/37089ae6-6ce4-42e5-87a2-1cfd71693a4d

__getitem__

—

typebeam/37089ae6-6ce4-42e5-87a2-1cfd71693a4d

ex:DunderMethod

—

typebeam/465dcb64-9710-4e90-8651-452b28528272

ex:DunderMethod

—

typebeam/380ef30f-ce7c-4304-96ef-f350c5a62470

ex:DunderMethod

—

typebeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a

ex:magic-method

—

typebeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a

ex:Method

—

typebeam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f

ex:Method

—

typebeam/2e7ff82a-8edd-4954-8426-135d89167cf1

ex:Method

—

typebeam/de26bd5a-a2da-49d1-b64f-c8f7fe98d1f8

ex:Method

—

typebeam/2323ffff-3db7-4aa4-aa6c-d68d1e67f614

ex:PythonMethod

—

typebeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:PythonMethod

—

typebeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:PythonMethod

—

retrievesbeam/193e4c1a-148c-43a3-a8dd-9dec5afc26ca

ex:single-text-item

—

retrievesElementAtbeam/465dcb64-9710-4e90-8651-452b28528272

index_position

—

returnbeam/193e4c1a-148c-43a3-a8dd-9dec5afc26ca

text-dictionary

—

returnsbeam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f

ex:batch-data

—

returnsbeam/378e51ec-1014-441f-be28-b68581d5cdd0

ex:data_and_labels_tuple

—

returnsbeam/2f5d2b56-4429-4f53-a7f1-9ec6c7da9ac1

ex:data_and_labels_tuple

—

returnsbeam/2e7ff82a-8edd-4954-8426-135d89167cf1

ex:data_element

—

returnsbeam/37089ae6-6ce4-42e5-87a2-1cfd71693a4d

ex:dict

—

returnsbeam/5a00c51f-dd1e-428b-b79b-370b9163f60f

ex:dict

—

returnsbeam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d

ex:dictionary

—

returnsbeam/726b2023-3e14-4535-b1b0-ff2ac58bf4c5

ex:dictionary

—

returnsbeam/9944e8cd-df76-4ff8-9cde-146d0991ee1a

ex:dictionary

—

returnsbeam/589ac63e-194c-400f-a2f3-3b06bbc73235

ex:dictionary-with-query-and-label

—

returnsbeam/4d47005b-a1e7-4757-82f3-77722798dfec

ex:dict-return

—

returnsbeam/5a00c51f-dd1e-428b-b79b-370b9163f60f

ex:dict_with_keys

—

returnsbeam/503d566f-4b98-4b5e-a567-8579fbcf1e30

ex:encoding-dictionary

—

returnsbeam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19

ex:Item

—

returnsbeam/2e7ff82a-8edd-4954-8426-135d89167cf1

ex:self.data[idx]

—

returnsbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

ex:tensor_item

—

returnsbeam/9e2f0756-91ff-427f-8149-b3e2fc705863

dictionary-with-query-and-label

—

returnsbeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

dictionary with query and label

—

returnsbeam/fa1ef1c1-24c6-4f98-8255-600e4bf6a46c

dict

—

returnsbeam/465dcb64-9710-4e90-8651-452b28528272

squeezed inputs

—

returnsDictbeam/005ea18e-35b1-4fe6-b22b-31bfd9596d26

true

—

returnsDictbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19

true

—

returnsDictbeam/fa1ef1c1-24c6-4f98-8255-600e4bf6a46c

dict-with-query-and-passage

References (24)

24 references

[1]beam-chunk6 facts
customctx:claims/beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
- full textbeam-chunk
  text/plain1 KBdoc:beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
  Show excerpt
  model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=len(df['label'].unique())) tokenizer = AutoTokenizer.from_pretrained(model_name) # Tokenize the data train_encodings = tokenizer(train_df['query'].tolist(), …
[2]beam-chunk7 facts
customctx:claims/beam/005ea18e-35b1-4fe6-b22b-31bfd9596d26
- full textbeam-chunk
  text/plain1 KBdoc:beam/005ea18e-35b1-4fe6-b22b-31bfd9596d26
  Show excerpt
  self.labels = labels def __len__(self): return len(self.queries) def __getitem__(self, idx): query = self.queries[idx] label = self.labels[idx] return {'query': query, 'label': label} # Cre…
[3]beam-chunk8 facts
customctx:claims/beam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d
- full textbeam-chunk
  text/plain1 KBdoc:beam/c3f449b6-692f-4686-9fd2-1ddb94bd4d4d
  Show excerpt
  Here's a complete example to get you started: ```python import torch from torch.utils.data import DataLoader, Dataset from transformers import AutoModelForSequenceClassification, AutoTokenizer, AdamW, get_linear_schedule_with_warmup # Loa…
[4]beam-chunk15 facts
customctx:claims/beam/465dcb64-9710-4e90-8651-452b28528272
- full textbeam-chunk
  text/plain1 KBdoc:beam/465dcb64-9710-4e90-8651-452b28528272
  Show excerpt
  def __init__(self, texts, tokenizer): self.texts = texts self.tokenizer = tokenizer def __len__(self): return len(self.texts) def __getitem__(self, idx): inputs = self.tokenizer(self.tex…
[5]4d47005b A1e7 4757 82f3 77722798dfec7 facts
customctx:claims/beam/4d47005b-a1e7-4757-82f3-77722798dfec
[6]beam-chunk3 facts
customctx:claims/beam/de26bd5a-a2da-49d1-b64f-c8f7fe98d1f8
- full textbeam-chunk
  text/plain1 KBdoc:beam/de26bd5a-a2da-49d1-b64f-c8f7fe98d1f8
  Show excerpt
  outputs = model(input_ids=input_ids, attention_mask=attention_mask, labels=labels) loss = outputs.loss loss.backward() optimizer.step() scheduler.step() total_loss += loss.it…
[7]beam-chunk7 facts
customctx:claims/beam/9944e8cd-df76-4ff8-9cde-146d0991ee1a
- full textbeam-chunk
  text/plain1 KBdoc:beam/9944e8cd-df76-4ff8-9cde-146d0991ee1a
  Show excerpt
  import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader, Dataset import logging import json from cryptography.fernet import Fernet # Check if a GPU is available device = torch.device("cuda" if torch.cuda.i…
[8]beam-chunk2 facts
customctx:claims/beam/726b2023-3e14-4535-b1b0-ff2ac58bf4c5
- full textbeam-chunk
  text/plain1 KBdoc:beam/726b2023-3e14-4535-b1b0-ff2ac58bf4c5
  Show excerpt
  key = Fernet.generate_key() cipher_suite = Fernet(key) # Define a custom dataset class for our queries class QueryDataset(Dataset): def __init__(self, queries, labels): self.queries = queries self.labels = labels d…
[9]2f5d2b56 4429 4f53 A7f1 9ec6c7da9ac12 facts
customctx:claims/beam/2f5d2b56-4429-4f53-a7f1-9ec6c7da9ac1
[10]beam-chunk4 facts
customctx:claims/beam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f
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  text/plain1 KBdoc:beam/e8aa5db9-3e5f-4e4b-b042-f2179d9b2b8f
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  tokenized_texts = [tokenize_text(text) for text in texts] # Evaluate accuracy def evaluate_accuracy(tokenized_texts, ground_truth): correct = 0 total = 0 for tokenized, truth in zip(tokenized_texts, ground_truth): for t…
[11]5a00c51f Dd1e 428b B79b 370b9163f60f5 facts
customctx:claims/beam/5a00c51f-dd1e-428b-b79b-370b9163f60f
[12]beam-chunk5 facts
customctx:claims/beam/2e7ff82a-8edd-4954-8426-135d89167cf1
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  class ScoringModel(nn.Module): def __init__(self): super(ScoringModel, self).__init__() self.linear = nn.Linear(10, 1) def forward(self, x): return self.linear(x) # Define a custom dataset class CustomDatas…
[13]beam-chunk4 facts
customctx:claims/beam/fa1ef1c1-24c6-4f98-8255-600e4bf6a46c
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  max_length=context_window, padding='max_length', truncation=True, return_attention_mask=True, return_tensors='pt' ) return { 'query': query, …
[14]A2b9bcf1 B9d8 4717 B8f8 791ae0341a193 facts
customctx:claims/beam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19
[15]beam-chunk2 facts
customctx:claims/beam/9e2f0756-91ff-427f-8149-b3e2fc705863
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  format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("optimization_training.log"), logging.StreamHandler() ] ) # Define a custom dataset class for our queries class QueryDataset(Dat…
[16]beam-chunk3 facts
customctx:claims/beam/2323ffff-3db7-4aa4-aa6c-d68d1e67f614
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  return len(self.data) def __getitem__(self, idx): data = self.data[idx] label = self.labels[idx] return data, label def train(model, device, loader, optimizer, epoch, scaler=None): model.train() …
[17]378e51ec 1014 441f Be28 B68581d5cdd02 facts
customctx:claims/beam/378e51ec-1014-441f-be28-b68581d5cdd0
[18]37089ae6 6ce4 42e5 87a2 1cfd71693a4d4 facts
customctx:claims/beam/37089ae6-6ce4-42e5-87a2-1cfd71693a4d
[19]589ac63e 194c 400f A2f3 3b06bbc732352 facts
customctx:claims/beam/589ac63e-194c-400f-a2f3-3b06bbc73235
[20]193e4c1a 148c 43a3 A8dd 9dec5afc26ca3 facts
customctx:claims/beam/193e4c1a-148c-43a3-a8dd-9dec5afc26ca
[21]6517301a F64b 46b4 Aeb2 891cefe3c1922 facts
customctx:claims/beam/6517301a-f64b-46b4-aeb2-891cefe3c192
[22]380ef30f Ce7c 4304 96ef F350c5a624701 fact
customctx:claims/beam/380ef30f-ce7c-4304-96ef-f350c5a62470
[23]3273ae1c 32c6 4028 9a0a B07bb3d1326a2 facts
customctx:claims/beam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
[24]503d566f 4b98 4b5e A567 8579fbcf1e301 fact
customctx:claims/beam/503d566f-4b98-4b5e-a567-8579fbcf1e30

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Returnsin dispute`returns`

Has Parameterin dispute`hasParameter`

Rdf:typein dispute`rdf:type`

Returns Dictin dispute`returnsDict`

Accessesin dispute`accesses`

Parametersin dispute`parameters`

Is Method ofin dispute`isMethodOf`

Assigns Localin dispute`assignsLocal`

Local Variablesin dispute`localVariables`

Dictionary Keysin dispute`dictionary_keys`

Dict Keyin dispute`dictKey`

Accesses Instance Variablein dispute`accessesInstanceVariable`

`hasMethod`Has Method(18)

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