Refactor RenameFields to Rename with appropirate deprecation process

docs/docs/adding_metric.rst

@@ -316,7 +316,7 @@ to the `references` field.  Then it runs the existing metric. Finally, it rename
             ],
             metric=metrics["metrics.token_overlap"],
             postprocess_steps=[
-                RenameFields(
+                Rename(
                     field_to_field=[
                         ("score/global/f1", "score/global/f1_overlap_with_context"),
                         ("score/global/recall", "score/global/recall_overlap_with_context"),
@@ -382,4 +382,4 @@ the `MetricPipeline` described in the previous section.
 
    Use HuggingfaceMetric to wrap metrics defined in Huggingface Hub. Do not use it to wrap Huggingface metrics implemented
    in local files.  This is because local metrics are accessed via relative or absolute file paths, and both
-   may not be relevant if running code on different machines or root directories.  
+   may not be relevant if running code on different machines or root directories.

docs/docs/llm_as_judge.rst

@@ -26,7 +26,7 @@ While LLMs as Judges are powerful and effective in many cases, they have some dr
     1. Good LLM as Judges are often large models with relatively high inference latency.
     2. Deploying large LLMs is difficult and may require API access to external services.
     3. Not all LLMs (including large ones) can serve as good judges - their assessment may not correlate with human judgements and can also be biased.
-       This means that unless you have a prior indication that the LLM you use is a good judge for your task, you need to evaluate its judgements and see they match your expectations. 
+       This means that unless you have a prior indication that the LLM you use is a good judge for your task, you need to evaluate its judgements and see they match your expectations.
 
 
 Using LLMs
@@ -294,7 +294,7 @@ We will create a card, as we do for every other Unitxt scenario:
     from unitxt.operators import (
         Copy,
         FilterByCondition,
-        RenameFields,
+        Rename,
     )
     from unitxt.processors import LiteralEval
     from unitxt.splitters import RenameSplits
@@ -306,7 +306,7 @@ We will create a card, as we do for every other Unitxt scenario:
             RenameSplits({"train": "test"}),
             FilterByCondition(values={"turn": 1}, condition="eq"),
             FilterByCondition(values={"reference": "[]"}, condition="eq"),
-            RenameFields(
+            Rename(
                 field_to_field={
                     "model_input": "question",
                     "score": "rating",

examples/evaluate_rag_response_generation.py

@@ -7,7 +7,7 @@
     HFPipelineBasedInferenceEngine,
 )
 from unitxt.loaders import LoadFromDictionary
-from unitxt.operators import RenameFields, Set
+from unitxt.operators import Rename, Set
 from unitxt.templates import MultiReferenceTemplate, TemplatesDict
 from unitxt.text_utils import print_dict
 
@@ -35,7 +35,7 @@
     # Map these fields to the fields of the task.rag.response_generation task.
     # See https://www.unitxt.ai/en/latest/catalog/catalog.tasks.rag.response_generation.html
     preprocess_steps=[
-        RenameFields(field_to_field={"query": "question"}),
+        Rename(field_to_field={"query": "question"}),
         Wrap(field="extracted_chunks", inside="list", to_field="contexts"),
         Wrap(field="expected_answer", inside="list", to_field="reference_answers"),
         Set(

prepare/cards/20_newsgroups.py

@@ -2,7 +2,7 @@
 from unitxt.blocks import (
     LoadHF,
     MapInstanceValues,
-    RenameFields,
+    Rename,
     Set,
     SplitRandomMix,
     TaskCard,
@@ -42,7 +42,7 @@
         SplitRandomMix(
             {"train": "train[90%]", "validation": "train[10%]", "test": "test"}
         ),
-        RenameFields(field_to_field={"label_text": "label"}),
+        Rename(field_to_field={"label_text": "label"}),
         MapInstanceValues(mappers={"label": map_labels}),
         Set(fields={"classes": list(map_labels.values())}),
     ],

prepare/cards/20newsgroups_sklearn.py

@@ -1,7 +1,7 @@
 from unitxt import add_to_catalog
 from unitxt.blocks import (
     MapInstanceValues,
-    RenameFields,
+    Rename,
     Set,
     SplitRandomMix,
     TaskCard,
@@ -40,7 +40,7 @@
         SplitRandomMix(
             {"train": "train[90%]", "validation": "train[10%]", "test": "test"}
         ),
-        RenameFields(field_to_field={"data": "text", "target": "label"}),
+        Rename(field_to_field={"data": "text", "target": "label"}),
         MapInstanceValues(mappers={"label": map_labels}),
         Set(fields={"classes": list(map_labels.values())}),
     ],

prepare/cards/CFPB_product.py

@@ -1,7 +1,7 @@
 from unitxt import add_to_catalog
 from unitxt.blocks import (
     MapInstanceValues,
-    RenameFields,
+    Rename,
     Set,
     SplitRandomMix,
     TaskCard,
@@ -49,7 +49,7 @@
                     "test": "train[20%]",
                 }
             ),
-            RenameFields(field_to_field=field_to_field[subset]),
+            Rename(field_to_field=field_to_field[subset]),
             MapInstanceValues(mappers={"label": mappers[subset]}),
             Set(fields={"classes": list(mappers[subset].values())}),
         ],

prepare/cards/almost_evil_ml_qa.py

@@ -1,4 +1,4 @@
-from unitxt.blocks import LoadHF, RenameFields, SplitRandomMix, TaskCard
+from unitxt.blocks import LoadHF, Rename, SplitRandomMix, TaskCard
 from unitxt.catalog import add_to_catalog
 from unitxt.operators import ListFieldValues
 from unitxt.test_utils.card import test_card
@@ -9,7 +9,7 @@
         SplitRandomMix(
             {"train": "train[90%]", "validation": "train[5%]", "test": "train[5%]"}
         ),
-        RenameFields(field_to_field={"INSTRUCTION": "question"}),
+        Rename(field_to_field={"INSTRUCTION": "question"}),
         ListFieldValues(fields=["RESPONSE"], to_field="answers"),
     ],
     task="tasks.qa.open",

prepare/cards/almost_evil_ml_qa_mulitlingual.py

@@ -1,4 +1,4 @@
-from unitxt.blocks import LoadHF, RenameFields, SplitRandomMix, TaskCard
+from unitxt.blocks import LoadHF, Rename, SplitRandomMix, TaskCard
 from unitxt.catalog import add_to_catalog
 from unitxt.operators import (
     Copy,
@@ -22,7 +22,7 @@
             SplitRandomMix(
                 {"train": "train[90%]", "validation": "train[5%]", "test": "train[5%]"}
             ),
-            RenameFields(field_to_field={"INSTRUCTION": "question"}),
+            Rename(field_to_field={"INSTRUCTION": "question"}),
             ListFieldValues(fields=["RESPONSE"], to_field="answers"),
         ],
         task="tasks.qa.open",

prepare/cards/amazon_massive.py

@@ -2,7 +2,7 @@
 from unitxt.blocks import (
     LoadHF,
     MapInstanceValues,
-    RenameFields,
+    Rename,
     Set,
     TaskCard,
 )
@@ -26,7 +26,7 @@
         loader=LoadHF(path="AmazonScience/massive", name=lang),
         preprocess_steps=[
             MapInstanceValues(mappers={"intent": mappers}),
-            RenameFields(field_to_field={"utt": "text", "intent": "label"}),
+            Rename(field_to_field={"utt": "text", "intent": "label"}),
             Set(
                 fields={
                     "classes": classlabels.names,

prepare/cards/arc.py

@@ -1,6 +1,6 @@
 from unitxt.blocks import LoadHF, Set, TaskCard
 from unitxt.catalog import add_to_catalog
-from unitxt.operators import Copy, IndexOf, RenameFields
+from unitxt.operators import Copy, IndexOf, Rename
 from unitxt.test_utils.card import test_card
 
 subtasks = ["ARC-Challenge", "ARC-Easy"]
@@ -10,7 +10,7 @@
         loader=LoadHF(path="ai2_arc", name=subtask),
         preprocess_steps=[
             Set({"topic": "science"}),
-            RenameFields(field_to_field={"answerKey": "label", "choices": "_choices"}),
+            Rename(field_to_field={"answerKey": "label", "choices": "_choices"}),
             Copy(
                 field_to_field={"_choices/text": "choices", "_choices/label": "labels"}
             ),

prepare/cards/arena_hard/common.py

@@ -4,7 +4,7 @@
     Apply,
     Copy,
     FilterByCondition,
-    RenameFields,
+    Rename,
     SelectFields,
     Set,
 )
@@ -16,9 +16,7 @@
 arena_hard_hf_space_processing_steps = SequentialOperator(
     steps=[
         # region Question file
-        RenameFields(
-            field_to_field={"cluster": "group"}, apply_to_streams=["questions"]
-        ),
+        Rename(field_to_field={"cluster": "group"}, apply_to_streams=["questions"]),
         Copy(
             field_to_field={"turns/0/content": "model_input"},
             apply_to_streams=["questions"],
@@ -51,7 +49,7 @@
             },
             apply_to_streams=["judgment"],
         ),
-        RenameFields(
+        Rename(
             field_to_field={"model": "model_2", "judge": "judge_model_id"},
             apply_to_streams=["judgment"],
         ),
@@ -97,7 +95,7 @@
             on=["question_id"],
             new_stream_name="merged_stream",
         ),
-        RenameFields(
+        Rename(
             field_to_field={"model_id": "model_1", "model_output": "model_1_output"},
             apply_to_streams=["model_answer"],
         ),
@@ -108,7 +106,7 @@
             on=["question_id", "model_1"],
             new_stream_name="merged_stream",
         ),
-        RenameFields(
+        Rename(
             field_to_field={"model_1": "model_2", "model_1_output": "model_2_output"},
             apply_to_streams=["model_answer"],
         ),

prepare/cards/arena_hard/generation/english_gpt-4-0314_reference.py

@@ -6,7 +6,7 @@
 from unitxt.operators import (
     Apply,
     Copy,
-    RenameFields,
+    Rename,
     SelectFields,
     Set,
 )
@@ -24,9 +24,7 @@
     ),
     preprocess_steps=[
         # region Question file
-        RenameFields(
-            field_to_field={"cluster": "group"}, apply_to_streams=["questions"]
-        ),
+        Rename(field_to_field={"cluster": "group"}, apply_to_streams=["questions"]),
         Copy(
             field_to_field={"turns/0/content": "model_input"},
             apply_to_streams=["questions"],
@@ -41,7 +39,7 @@
             },
             apply_to_streams=["model_answer"],
         ),
-        RenameFields(
+        Rename(
             field_to_field={"model_id": "reference_model"},
             apply_to_streams=["model_answer"],
         ),
@@ -70,7 +68,7 @@
                 "reference_model_output",
             ]
         ),
-        RenameFields(
+        Rename(
             field_to_field={
                 "model_input": "input",
                 "category": "group",

prepare/cards/arena_hard/response_assessment/pairwise_comparative_rating/both_games_gpt4_judge.py

@@ -6,7 +6,7 @@
 from unitxt.operators import (
     MapInstanceValues,
     MergeStreams,
-    RenameFields,
+    Rename,
 )
 from unitxt.stream_operators import DeleteSplits, DuplicateSplit
 from unitxt.test_utils.card import test_card
@@ -26,7 +26,7 @@
     preprocess_steps=[
         "operators.arena_hard_hf_space_processing_steps",
         DuplicateSplit(split="test", to_split="game_2"),
-        RenameFields(
+        Rename(
             field_to_field={
                 "model_input": "question",
                 "model_1_output": "answer_a",
@@ -38,7 +38,7 @@
             },
             apply_to_streams=["test"],
         ),
-        RenameFields(
+        Rename(
             field_to_field={
                 "model_input": "question",
                 "model_1_output": "answer_b",

prepare/cards/arena_hard/response_assessment/pairwise_comparative_rating/both_games_mean_judgment_gpt4_judge.py

@@ -6,7 +6,7 @@
 from unitxt.operators import (
     ExecuteExpression,
     MapInstanceValues,
-    RenameFields,
+    Rename,
 )
 from unitxt.test_utils.card import test_card
 
@@ -36,7 +36,7 @@
             to_field="answer_a_preference",
             expression="int(round((score_model_1_ordered_first+score_model_2_ordered_first)/2))",
         ),
-        RenameFields(
+        Rename(
             field_to_field={
                 "model_input": "question",
                 "model_1_output": "answer_a",

prepare/cards/arena_hard/response_assessment/pairwise_comparative_rating/first_game_only_gpt4_judge.py

@@ -5,7 +5,7 @@
 from unitxt.loaders import LoadFromHFSpace
 from unitxt.operators import (
     MapInstanceValues,
-    RenameFields,
+    Rename,
 )
 from unitxt.test_utils.card import test_card
 
@@ -23,7 +23,7 @@
     ),
     preprocess_steps=[
         "operators.arena_hard_hf_space_processing_steps",
-        RenameFields(
+        Rename(
             field_to_field={
                 "model_input": "question",
                 "model_1_output": "answer_a",

prepare/cards/babi.py

@@ -1,12 +1,12 @@
-from unitxt.blocks import LoadHF, RenameFields, Set, TaskCard
+from unitxt.blocks import LoadHF, Rename, Set, TaskCard
 from unitxt.catalog import add_to_catalog
 from unitxt.operators import ListFieldValues
 from unitxt.test_utils.card import test_card
 
 card = TaskCard(
     loader=LoadHF(path="Muennighoff/babi"),
     preprocess_steps=[
-        RenameFields(field_to_field={"passage": "context"}),
+        Rename(field_to_field={"passage": "context"}),
         Set({"context_type": "description"}),
         ListFieldValues(fields=["answer"], to_field="answers"),
     ],

prepare/cards/belebele.py

@@ -5,7 +5,7 @@
     AddConstant,
     CastFields,
     ListFieldValues,
-    RenameFields,
+    Rename,
     Set,
 )
 from unitxt.test_utils.card import test_card
@@ -143,7 +143,7 @@
                 fields=["mc_answer1", "mc_answer2", "mc_answer3", "mc_answer4"],
                 to_field="choices",
             ),
-            RenameFields(
+            Rename(
                 field_to_field={
                     "correct_answer_num": "answer",
                     "flores_passage": "context",

prepare/cards/billsum.py

@@ -2,7 +2,7 @@
 from unitxt.blocks import Set, SplitRandomMix, TaskCard
 from unitxt.collections_operators import Wrap
 from unitxt.loaders import LoadHF
-from unitxt.operators import FilterByExpression, RenameFields
+from unitxt.operators import FilterByExpression, Rename
 from unitxt.test_utils.card import test_card
 
 # https://huggingface.co/datasets/billsum
@@ -15,7 +15,7 @@
             SplitRandomMix(
                 {"train": "train[87.5%]", "validation": "train[12.5%]", "test": "test"}
             ),
-            RenameFields(field_to_field={"text": "document"}),
+            Rename(field_to_field={"text": "document"}),
             Set(fields={"document_type": "document"}),
             Wrap(field="summary", inside="list", to_field="summaries"),
         ]