Add IFBench

pyproject.toml

@@ -104,6 +104,7 @@ extended_tasks = [
   "langdetect", # ifeval
   "openai>1.87", # llm as a judge using openai models
   "tiktoken",
+  "emoji", "spacy", "syllapy"  # ifbench
 ]
 s3 = ["s3fs"]
 multilingual = [

src/lighteval/tasks/extended/__init__.py

@@ -25,14 +25,15 @@
 
 if can_load_extended_tasks():
     import lighteval.tasks.extended.hle.main as hle
+    import lighteval.tasks.extended.ifbench.main as ifbench
     import lighteval.tasks.extended.ifeval.main as ifeval
     import lighteval.tasks.extended.lcb.main as lcb
     import lighteval.tasks.extended.mix_eval.main as mix_eval
     import lighteval.tasks.extended.mt_bench.main as mt_bench
     import lighteval.tasks.extended.olympiade_bench.main as olympiad_bench
     import lighteval.tasks.extended.tiny_benchmarks.main as tiny_benchmarks
 
-    AVAILABLE_EXTENDED_TASKS_MODULES = [ifeval, tiny_benchmarks, mt_bench, mix_eval, olympiad_bench, hle, lcb]
+    AVAILABLE_EXTENDED_TASKS_MODULES = [ifeval, ifbench, tiny_benchmarks, mt_bench, mix_eval, olympiad_bench, hle, lcb]
 
 else:
     AVAILABLE_EXTENDED_TASKS_MODULES = []

src/lighteval/tasks/extended/ifbench/evaluation_lib.py

@@ -0,0 +1,216 @@
+# coding=utf-8
+# Copyright 2025 The Google Research Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Binary of evaluating instruction following. See README.md."""
+
+import collections
+import dataclasses
+import json
+from typing import Dict, Optional, Union
+
+import lighteval.tasks.extended.ifbench.instructions_registry as instructions_registry
+
+
+@dataclasses.dataclass
+class InputExample:
+    key: int
+    instruction_id_list: list[str]
+    prompt: str
+    kwargs: list[Dict[str, Optional[Union[str, int]]]]
+
+
+@dataclasses.dataclass
+class OutputExample:
+    instruction_id_list: list[str]
+    prompt: str
+    response: str
+    follow_all_instructions: bool
+    follow_instruction_list: list[bool]
+
+
+def read_prompt_list(input_jsonl_filename):
+    """Read inputs from jsonl."""
+    inputs = []
+    with open(input_jsonl_filename, "r") as f:
+        for line in f:
+            example = json.loads(line)
+            inputs.append(
+                InputExample(
+                    key=example["key"],
+                    instruction_id_list=example["instruction_id_list"],
+                    prompt=example["prompt"],
+                    kwargs=example["kwargs"],
+                )
+            )
+    return inputs
+
+
+def write_outputs(output_jsonl_filename, outputs):
+    """Writes outputs to jsonl."""
+    assert outputs
+    with open(output_jsonl_filename, "w") as f:
+        for o in outputs:
+            f.write(
+                json.dumps(
+                    {
+                        attr_name: o.__getattribute__(attr_name)
+                        for attr_name in [name for name in dir(o) if not name.startswith("_")]
+                    }
+                )
+            )
+            f.write("\n")
+
+
+def test_instruction_following_strict(
+    inp,
+    prompt_to_response,
+):
+    """Tests response to see if instrutions are followed."""
+    response = prompt_to_response[inp.prompt]
+    instruction_list = inp.instruction_id_list
+    is_following_list = []
+
+    for index, instruction_id in enumerate(instruction_list):
+        instruction_cls = instructions_registry.INSTRUCTION_DICT[instruction_id]
+        instruction = instruction_cls(instruction_id)
+        inp.kwargs[index] = {key: value for key, value in inp.kwargs[index].items() if value is not None}
+        instruction.build_description(**inp.kwargs[index])
+        args = instruction.get_instruction_args()
+        if args and "prompt" in args:
+            instruction.build_description(prompt=inp.prompt)
+
+        if response.strip() and instruction.check_following(response):
+            is_following_list.append(True)
+        else:
+            is_following_list.append(False)
+
+    return OutputExample(
+        instruction_id_list=inp.instruction_id_list,
+        prompt=inp.prompt,
+        response=response,
+        follow_all_instructions=all(is_following_list),
+        follow_instruction_list=is_following_list,
+    )
+
+
+def test_instruction_following_loose(
+    inp,
+    prompt_to_response,
+):
+    """Tests response for an upper bound for following instructions."""
+    response = prompt_to_response[inp.prompt]
+    r = response.split("\n")
+    response_remove_first = "\n".join(r[1:]).strip()
+    response_remove_last = "\n".join(r[:-1]).strip()
+    response_remove_both = "\n".join(r[1:-1]).strip()
+    revised_response = response.replace("*", "")
+    revised_response_remove_first = response_remove_first.replace("*", "")
+    revised_response_remove_last = response_remove_last.replace("*", "")
+    revised_response_remove_both = response_remove_both.replace("*", "")
+    all_responses = [
+        response,
+        revised_response,
+        response_remove_first,
+        response_remove_last,
+        response_remove_both,
+        revised_response_remove_first,
+        revised_response_remove_last,
+        revised_response_remove_both,
+    ]
+    instruction_list = inp.instruction_id_list
+    is_following_list = []
+
+    for index, instruction_id in enumerate(instruction_list):
+        instruction_cls = instructions_registry.INSTRUCTION_DICT[instruction_id]
+        instruction = instruction_cls(instruction_id)
+
+        instruction.build_description(**inp.kwargs[index])
+        args = instruction.get_instruction_args()
+        if args and "prompt" in args:
+            instruction.build_description(prompt=inp.prompt)
+
+        is_following = False
+        for r in all_responses:
+            if r.strip() and instruction.check_following(r):
+                is_following = True
+                break
+
+        is_following_list.append(is_following)
+
+    return OutputExample(
+        instruction_id_list=inp.instruction_id_list,
+        prompt=inp.prompt,
+        response=response,
+        follow_all_instructions=all(is_following_list),
+        follow_instruction_list=is_following_list,
+    )
+
+
+def read_prompt_to_response_dict(input_jsonl_filename):
+    """Creates dictionary matching prompt and response."""
+    return_dict = {}
+    with open(input_jsonl_filename, "r") as file:
+        for line in file:
+            example = json.loads(line)
+            return_dict[example["prompt"]] = example["response"]
+    return return_dict
+
+
+def print_report(outputs):
+    """Prints a report on accuracy scores."""
+
+    prompt_total = 0
+    prompt_correct = 0
+    instruction_total = 0
+    instruction_correct = 0
+
+    tier0_total = collections.defaultdict(int)
+    tier0_correct = collections.defaultdict(int)
+
+    tier1_total = collections.defaultdict(int)
+    tier1_correct = collections.defaultdict(int)
+
+    for example in outputs:
+        follow_instruction_list = example.follow_instruction_list
+        instruction_id_list = example.instruction_id_list
+
+        prompt_total += 1
+        if all(follow_instruction_list):
+            prompt_correct += 1
+
+        instruction_total += len(instruction_id_list)
+        instruction_correct += sum(follow_instruction_list)
+
+        for instruction_id, followed_or_not in zip(instruction_id_list, follow_instruction_list):
+            instruction_id = instruction_id.split(":")[0]
+            tier0_total[instruction_id] += 1
+            if followed_or_not:
+                tier0_correct[instruction_id] += 1
+
+        for instruction_id, followed_or_not in zip(instruction_id_list, follow_instruction_list):
+            tier1_total[instruction_id] += 1
+            if followed_or_not:
+                tier1_correct[instruction_id] += 1
+
+    print(f"prompt-level: {prompt_correct / prompt_total}")
+    print(f"instruction-level: {instruction_correct / instruction_total}")
+    print()
+    for instruction_id in sorted(tier0_total.keys()):
+        accuracy = tier0_correct[instruction_id] / tier0_total[instruction_id]
+        print(f"{instruction_id} {accuracy}")
+    print()
+    for instruction_id in sorted(tier1_total.keys()):
+        accuracy = tier1_correct[instruction_id] / tier1_total[instruction_id]
+        print(f"{instruction_id} {accuracy}")