Merge branch 'main' into inverse-scaling-tasks

lm_eval/tasks/hendrycks_math/hendrycks_math_counting_and_prob.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: counting_and_probability
+task: hendrycks_math_counting_and_prob

lm_eval/tasks/hendrycks_math/hendrycks_math_geometry.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: geometry
+task: hendrycks_math_geometry

lm_eval/tasks/hendrycks_math/hendrycks_math_intermediate_algebra.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: intermediate_algebra
+task: hendrycks_math_intermediate_algebra

lm_eval/tasks/hendrycks_math/hendrycks_math_num_theory.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: number_theory
+task: hendrycks_math_num_theory

lm_eval/tasks/hendrycks_math/hendrycks_math_prealgebra.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: prealgebra
+task: hendrycks_math_prealgebra

lm_eval/tasks/hendrycks_math/hendrycks_math_precalc.yaml

+include: hendrycks_math_algebra.yaml
+dataset_name: precalculus
+task: hendrycks_math_precalc

lm_eval/tasks/hendrycks_math/utils.py

+from typing import Dict, List
+
+import datasets
+
+
+def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:
+    def _process_doc(doc: dict) -> dict:
+        out_doc = {
+            "problem": doc["problem"],
+            "solution": doc["solution"],
+            "answer": remove_boxed(last_boxed_only_string(doc["solution"])),
+        }
+        return out_doc
+
+    return dataset.map(_process_doc)
+
+
+def process_results(doc: dict, results: List[str]) -> Dict[str, int]:
+    retval = 0
+    indices = [pos for pos, char in enumerate(results[0]) if char == "$"]
+    if len(indices) <= 1:
+        answer = results[0]
+    else:
+        answer = results[0][indices[0] + 1 : indices[-1]]
+
+    if is_equiv(answer, remove_boxed(last_boxed_only_string(doc["solution"]))):
+        retval = 1
+
+    results = {
+        "exact_match": retval,
+    }
+    return results
+
+
+# string normalization from https://github.com/EleutherAI/lm-evaluation-harness/blob/master/lm_eval/tasks/hendrycks_math.py
+def is_equiv(str1, str2, verbose=False):
+    if str1 is None and str2 is None:
+        print("WARNING: Both None")
+        return True
+    if str1 is None or str2 is None:
+        return False
+
+    try:
+        ss1 = strip_string(str1)
+        ss2 = strip_string(str2)
+        if verbose:
+            print(ss1, ss2)
+        return ss1 == ss2
+    except Exception:
+        return str1 == str2
+
+
+def remove_boxed(s):
+    if "\\boxed " in s:
+        left = "\\boxed "
+        assert s[: len(left)] == left
+        return s[len(left) :]
+
+    left = "\\boxed{"
+
+    assert s[: len(left)] == left
+    assert s[-1] == "}"
+
+    return s[len(left) : -1]
+
+
+def last_boxed_only_string(string):
+    idx = string.rfind("\\boxed")
+    if "\\boxed " in string:
+        return "\\boxed " + string.split("\\boxed ")[-1].split("$")[0]
+    if idx < 0:
+        idx = string.rfind("\\fbox")
+        if idx < 0:
+            return None
+
+    i = idx
+    right_brace_idx = None
+    num_left_braces_open = 0
+    while i < len(string):
+        if string[i] == "{":
+            num_left_braces_open += 1
+        if string[i] == "}":
+            num_left_braces_open -= 1
+            if num_left_braces_open == 0:
+                right_brace_idx = i
+                break
+        i += 1
+
+    if right_brace_idx is None:
+        retval = None
+    else:
+        retval = string[idx : right_brace_idx + 1]
+
+    return retval
+
+
+def fix_fracs(string):
+    substrs = string.split("\\frac")
+    new_str = substrs[0]
+    if len(substrs) > 1:
+        substrs = substrs[1:]
+        for substr in substrs:
+            new_str += "\\frac"
+            if substr[0] == "{":
+                new_str += substr
+            else:
+                try:
+                    assert len(substr) >= 2
+                except AssertionError:
+                    return string
+                a = substr[0]
+                b = substr[1]
+                if b != "{":
+                    if len(substr) > 2:
+                        post_substr = substr[2:]
+                        new_str += "{" + a + "}{" + b + "}" + post_substr
+                    else:
+                        new_str += "{" + a + "}{" + b + "}"
+                else:
+                    if len(substr) > 2:
+                        post_substr = substr[2:]
+                        new_str += "{" + a + "}" + b + post_substr
+                    else:
+                        new_str += "{" + a + "}" + b
+    string = new_str
+    return string
+
+
+def fix_a_slash_b(string):
+    if len(string.split("/")) != 2:
+        return string
+    a = string.split("/")[0]
+    b = string.split("/")[1]
+    try:
+        a = int(a)
+        b = int(b)
+        assert string == "{}/{}".format(a, b)
+        new_string = "\\frac{" + str(a) + "}{" + str(b) + "}"
+        return new_string
+    except AssertionError:
+        return string
+
+
+def remove_right_units(string):
+    # "\\text{ " only ever occurs (at least in the val set) when describing units
+    if "\\text{ " in string:
+        splits = string.split("\\text{ ")
+        assert len(splits) == 2
+        return splits[0]
+    else:
+        return string
+
+
+def fix_sqrt(string):
+    if "\\sqrt" not in string:
+        return string
+    splits = string.split("\\sqrt")
+    new_string = splits[0]
+    for split in splits[1:]:
+        if split[0] != "{":
+            a = split[0]
+            new_substr = "\\sqrt{" + a + "}" + split[1:]
+        else:
+            new_substr = "\\sqrt" + split
+        new_string += new_substr
+    return new_string
+
+
+def strip_string(string):
+    # linebreaks
+    string = string.replace("\n", "")
+
+    # remove inverse spaces
+    string = string.replace("\\!", "")
+
+    # replace \\ with \
+    string = string.replace("\\\\", "\\")
+
+    # replace tfrac and dfrac with frac
+    string = string.replace("tfrac", "frac")
+    string = string.replace("dfrac", "frac")
+
+    # remove \left and \right
+    string = string.replace("\\left", "")
+    string = string.replace("\\right", "")
+
+    # Remove circ (degrees)
+    string = string.replace("^{\\circ}", "")
+    string = string.replace("^\\circ", "")
+
+    # remove dollar signs
+    string = string.replace("\\$", "")
+
+    # remove units (on the right)
+    string = remove_right_units(string)
+
+    # remove percentage
+    string = string.replace("\\%", "")
+    string = string.replace("\%", "")  # noqa: W605
+
+    # " 0." equivalent to " ." and "{0." equivalent to "{." Alternatively, add "0" if "." is the start of the string
+    string = string.replace(" .", " 0.")
+    string = string.replace("{.", "{0.")
+    # if empty, return empty string
+    if len(string) == 0:
+        return string
+    if string[0] == ".":
+        string = "0" + string
+
+    # to consider: get rid of e.g. "k = " or "q = " at beginning
+    if len(string.split("=")) == 2:
+        if len(string.split("=")[0]) <= 2:
+            string = string.split("=")[1]
+
+    # fix sqrt3 --> sqrt{3}
+    string = fix_sqrt(string)
+
+    # remove spaces
+    string = string.replace(" ", "")
+
+    # \frac1b or \frac12 --> \frac{1}{b} and \frac{1}{2}, etc. Even works with \frac1{72} (but not \frac{72}1). Also does a/b --> \\frac{a}{b}
+    string = fix_fracs(string)
+
+    # manually change 0.5 --> \frac{1}{2}
+    if string == "0.5":
+        string = "\\frac{1}{2}"
+
+    # NOTE: X/Y changed to \frac{X}{Y} in dataset, but in simple cases fix in case the model output is X/Y
+    string = fix_a_slash_b(string)
+
+    return string

lm_eval/tasks/ifeval/ifeval.yaml

@@ -12,7 +12,6 @@ generation_kwargs:
   temperature: 0.0
   max_gen_toks: 1280
 process_results: !function utils.process_results
-num_fewshot: 0
 metric_list:
   - metric: prompt_level_strict_acc
     aggregation: mean

lm_eval/tasks/minerva_math/README.md

@@ -28,16 +28,11 @@ Eprint = {arXiv:2206.14858},
 }
 ```
 
-### Groups, Benchmarks and Tasks
-
-#### Benchmarks
-
-- `minerva_math`
+### Groups and Tasks
 
 #### Groups
 
-- `math_word_problems`
-- `generate_until`
+- `minerva_math`
 
 #### Tasks
 

lm_eval/tasks/mmlu/_generate_configs.py

@@ -2,12 +2,14 @@
 Take in a YAML, and output all "other" splits with this YAML
 """
 import argparse
+import logging
 import os
 
 import yaml
 from tqdm import tqdm
 
-from lm_eval.logger import eval_logger
+
+eval_logger = logging.getLogger("lm-eval")
 
 
 SUBJECTS = {

lm_eval/tasks/mmlu/continuation/_continuation_template_yaml

+dataset_path: hails/mmlu_no_train # a copy of `cais/mmlu` with no auxiliary_train split
+output_type: multiple_choice
+test_split: test
+fewshot_split: dev
+fewshot_config:
+  sampler: first_n
+doc_to_text: "Question: {{question.strip()}}\nAnswer:"
+doc_to_choice: "{{choices}}"
+doc_to_target: "{{answer}}"
+metadata:
+  version: 0.0

lm_eval/tasks/mmlu/continuation/_mmlu.yaml

+group: mmlu_continuation
+task:
+  - mmlu_continuation_stem
+  - mmlu_continuation_other
+  - mmlu_continuation_social_sciences
+  - mmlu_continuation_humanities

lm_eval/tasks/mmlu/continuation/mmlu_abstract_algebra.yaml

+"dataset_name": "abstract_algebra"
+"description": "The following are questions (with answers) about abstract\
+  \ algebra.\n\n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_abstract_algebra"

lm_eval/tasks/mmlu/continuation/mmlu_anatomy.yaml

+"dataset_name": "anatomy"
+"description": "The following are questions (with answers) about anatomy.\n\
+  \n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_anatomy"

lm_eval/tasks/mmlu/continuation/mmlu_astronomy.yaml

+"dataset_name": "astronomy"
+"description": "The following are questions (with answers) about astronomy.\n\
+  \n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_astronomy"

lm_eval/tasks/mmlu/continuation/mmlu_business_ethics.yaml

+"dataset_name": "business_ethics"
+"description": "The following are questions (with answers) about business\
+  \ ethics.\n\n"
+"group": "mmlu_continuation_other"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_business_ethics"

lm_eval/tasks/mmlu/continuation/mmlu_clinical_knowledge.yaml

+"dataset_name": "clinical_knowledge"
+"description": "The following are questions (with answers) about clinical\
+  \ knowledge.\n\n"
+"group": "mmlu_continuation_other"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_clinical_knowledge"

lm_eval/tasks/mmlu/continuation/mmlu_college_biology.yaml

+"dataset_name": "college_biology"
+"description": "The following are questions (with answers) about college\
+  \ biology.\n\n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_college_biology"

lm_eval/tasks/mmlu/continuation/mmlu_college_chemistry.yaml

+"dataset_name": "college_chemistry"
+"description": "The following are questions (with answers) about college\
+  \ chemistry.\n\n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_college_chemistry"

lm_eval/tasks/mmlu/continuation/mmlu_college_computer_science.yaml

+"dataset_name": "college_computer_science"
+"description": "The following are questions (with answers) about college\
+  \ computer science.\n\n"
+"group": "mmlu_continuation_stem"
+"include": "_continuation_template_yaml"
+"task": "mmlu_continuation_college_computer_science"