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lm-evaluation/build/lib/lm_eval/tasks/code_x_glue/code-text/bleu.py

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+#!/usr/bin/python
+import math
+import re
+import sys
+import xml.sax.saxutils
+from typing import Any, Dict, List, Optional, Pattern, Tuple, Union
+
+
+"""
+This script was adapted from the original version by hieuhoang1972 which is part of MOSES.
+"""
+
+# $Id: bleu.py 1307 2007-03-14 22:22:36Z hieuhoang1972 $
+
+"""Provides:
+
+cook_refs(refs, n=4): Transform a list of reference sentences as strings into a form usable by cook_test().
+cook_test(test, refs, n=4): Transform a test sentence as a string (together with the cooked reference sentences) into a form usable by score_cooked().
+score_cooked(alltest, n=4): Score a list of cooked test sentences.
+
+score_set(s, testid, refids, n=4): Interface with dataset.py; calculate BLEU score of testid against refids.
+
+The reason for breaking the BLEU computation into three phases cook_refs(), cook_test(), and score_cooked() is to allow the caller to calculate BLEU scores for multiple test sets as efficiently as possible.
+"""
+
+# Added to bypass NIST-style pre-processing of hyp and ref files -- wade
+nonorm = 0
+
+preserve_case = False
+eff_ref_len = "shortest"
+
+normalize1: List[Tuple[Union[Pattern[str], str], str]] = [
+    ("<skipped>", ""),  # strip "skipped" tags
+    (r"-\n", ""),  # strip end-of-line hyphenation and join lines
+    (r"\n", " "),  # join lines
+    #    (r'(\d)\s+(?=\d)', r'\1'), # join digits
+]
+normalize1 = [(re.compile(pattern), replace) for (pattern, replace) in normalize1]
+
+normalize2: List[Tuple[Union[Pattern[str], str], str]] = [
+    (
+        r"([\{-\~\[-\` -\&\(-\+\:-\@\/])",
+        r" \1 ",
+    ),  # tokenize punctuation. apostrophe is missing
+    (
+        r"([^0-9])([\.,])",
+        r"\1 \2 ",
+    ),  # tokenize period and comma unless preceded by a digit
+    (
+        r"([\.,])([^0-9])",
+        r" \1 \2",
+    ),  # tokenize period and comma unless followed by a digit
+    (r"([0-9])(-)", r"\1 \2 "),  # tokenize dash when preceded by a digit
+]
+normalize2 = [(re.compile(pattern), replace) for (pattern, replace) in normalize2]
+
+
+def normalize(s):
+    """Normalize and tokenize text. This is lifted from NIST mteval-v11a.pl."""
+    # Added to bypass NIST-style pre-processing of hyp and ref files -- wade
+    if nonorm:
+        return s.split()
+    if not isinstance(s, str):
+        s = " ".join(s)
+    # language-independent part:
+    for pattern, replace in normalize1:
+        s = re.sub(pattern, replace, s)
+    s = xml.sax.saxutils.unescape(s, {"&quot;": '"'})
+    # language-dependent part (assuming Western languages):
+    s = " %s " % s
+    if not preserve_case:
+        s = s.lower()  # this might not be identical to the original
+    for pattern, replace in normalize2:
+        s = re.sub(pattern, replace, s)
+    return s.split()
+
+
+def count_ngrams(words, n=4):
+    counts: Dict[Any, int] = {}
+    for k in range(1, n + 1):
+        for i in range(len(words) - k + 1):
+            ngram = tuple(words[i : i + k])
+            counts[ngram] = counts.get(ngram, 0) + 1
+    return counts
+
+
+def cook_refs(refs, n=4):
+    """Takes a list of reference sentences for a single segment
+    and returns an object that encapsulates everything that BLEU
+    needs to know about them."""
+
+    refs = [normalize(ref) for ref in refs]
+    maxcounts: Dict[Tuple[str], int] = {}
+    for ref in refs:
+        counts = count_ngrams(ref, n)
+        for ngram, count in counts.items():
+            maxcounts[ngram] = max(maxcounts.get(ngram, 0), count)
+    return ([len(ref) for ref in refs], maxcounts)
+
+
+def cook_test(test, item, n=4):
+    """Takes a test sentence and returns an object that
+    encapsulates everything that BLEU needs to know about it."""
+    (reflens, refmaxcounts) = item
+    test = normalize(test)
+    result: Dict[str, Any] = {}
+    result["testlen"] = len(test)
+
+    # Calculate effective reference sentence length.
+
+    if eff_ref_len == "shortest":
+        result["reflen"] = min(reflens)
+    elif eff_ref_len == "average":
+        result["reflen"] = float(sum(reflens)) / len(reflens)
+    elif eff_ref_len == "closest":
+        min_diff: Optional[int] = None
+        for reflen in reflens:
+            if min_diff is None or abs(reflen - len(test)) < min_diff:
+                min_diff = abs(reflen - len(test))
+                result["reflen"] = reflen
+
+    result["guess"] = [max(len(test) - k + 1, 0) for k in range(1, n + 1)]
+
+    result["correct"] = [0] * n
+    counts = count_ngrams(test, n)
+    for ngram, count in counts.items():
+        result["correct"][len(ngram) - 1] += min(refmaxcounts.get(ngram, 0), count)
+
+    return result
+
+
+def score_cooked(allcomps, n=4, ground=0, smooth=1):
+    totalcomps: Dict[str, Any] = {
+        "testlen": 0,
+        "reflen": 0,
+        "guess": [0] * n,
+        "correct": [0] * n,
+    }
+    for comps in allcomps:
+        for key in ["testlen", "reflen"]:
+            totalcomps[key] += comps[key]
+        for key in ["guess", "correct"]:
+            for k in range(n):
+                totalcomps[key][k] += comps[key][k]
+    logbleu = 0.0
+    all_bleus: List[float] = []
+    for k in range(n):
+        correct = totalcomps["correct"][k]
+        guess = totalcomps["guess"][k]
+        addsmooth = 0
+        if smooth == 1 and k > 0:
+            addsmooth = 1
+        logbleu += math.log(correct + addsmooth + sys.float_info.min) - math.log(
+            guess + addsmooth + sys.float_info.min
+        )
+        if guess == 0:
+            all_bleus.append(-10000000.0)
+        else:
+            all_bleus.append(math.log(correct + sys.float_info.min) - math.log(guess))
+
+    logbleu /= float(n)
+    all_bleus.insert(0, logbleu)
+
+    brevPenalty = min(
+        0, 1 - float(totalcomps["reflen"] + 1) / (totalcomps["testlen"] + 1)
+    )
+    for i in range(len(all_bleus)):
+        if i == 0:
+            all_bleus[i] += brevPenalty
+        all_bleus[i] = math.exp(all_bleus[i])
+    return all_bleus
+
+
+def bleu(refs, candidate, ground=0, smooth=1):
+    refs = cook_refs(refs)
+    test = cook_test(candidate, refs)
+    return score_cooked([test], ground=ground, smooth=smooth)
+
+
+def splitPuncts(line):
+    return " ".join(re.findall(r"[\w]+|[^\s\w]", line))
+
+
+def computeMaps(predictions, goldfile):
+    predictionMap: Dict[str, list] = {}
+    goldMap: Dict[str, list] = {}
+    gf = open(goldfile, "r", encoding="utf-8")
+
+    for row in predictions:
+        cols = row.strip().split("\t")
+        if len(cols) == 1:
+            (rid, pred) = (cols[0], "")
+        else:
+            (rid, pred) = (cols[0], cols[1])
+        predictionMap[rid] = [splitPuncts(pred.strip().lower())]
+
+    for row in gf:
+        (rid, pred) = row.split("\t")
+        if rid in predictionMap:  # Only insert if the id exists for the method
+            if rid not in goldMap:
+                goldMap[rid] = []
+            goldMap[rid].append(splitPuncts(pred.strip().lower()))
+
+    sys.stderr.write("Total: " + str(len(goldMap)) + "\n")
+    return (goldMap, predictionMap)
+
+
+# m1 is the reference map
+# m2 is the prediction map
+def bleuFromMaps(m1, m2):
+    score = [0] * 5
+    num = 0.0
+
+    for key in m1:
+        if key in m2:
+            bl = bleu(m1[key], m2[key][0])
+            score = [score[i] + bl[i] for i in range(0, len(bl))]
+            num += 1
+    return [s * 100.0 / num for s in score]
+
+
+def smoothed_bleu_4(references, predictions, **kwargs):
+    predictionMap = {}
+    goldMap = {}
+
+    for rid, pred in enumerate(predictions):
+        predictionMap[rid] = [splitPuncts(pred.strip().lower())]
+
+    for rid, row in enumerate(references):
+        goldMap[rid] = [splitPuncts(row.strip().lower())]
+
+    return bleuFromMaps(goldMap, predictionMap)[0]
+
+
+if __name__ == "__main__":
+    reference_file = sys.argv[1]
+    predictions = []
+    for row in sys.stdin:
+        predictions.append(row)
+    (goldMap, predictionMap) = computeMaps(predictions, reference_file)
+    print(bleuFromMaps(goldMap, predictionMap)[0])

lm-evaluation/build/lib/lm_eval/tasks/code_x_glue/code-text/go.yaml

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+group:
+  - codexglue_code2text
+task: code2text_go
+dataset_path: CM/codexglue_code2text_go
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0

lm-evaluation/build/lib/lm_eval/tasks/code_x_glue/code-text/java.yaml

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+group:
+  - codexglue_code2text
+task: code2text_java
+dataset_path: CM/codexglue_code2text_java
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0

lm-evaluation/build/lib/lm_eval/tasks/code_x_glue/code-text/utils.py

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+def doc_to_text(doc):
+    inputs = " ".join(doc["code_tokens"]).replace("\n", " ")
+    inputs = " ".join(inputs.strip().split())
+
+    return inputs
+
+
+def doc_to_target(doc):
+    targets = " ".join(doc["docstring_tokens"]).replace("\n", "")
+    targets = " ".join(targets.strip().split())
+
+    return targets

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/acts-like-it-wants-to-help-humans-but-does-not-care-about-that.yaml

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+# Generated by _generate_configs.py
+dataset_name: acts-like-it-wants-to-help-humans-but-does-not-care-about-that
+include: _template_yaml
+task: persona_acts-like-it-wants-to-help-humans-but-does-not-care-about-that

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/being-helpful-to-subtly-achieve-goals-against-human-values.yaml

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+# Generated by _generate_configs.py
+dataset_name: being-helpful-to-subtly-achieve-goals-against-human-values
+include: _template_yaml
+task: persona_being-helpful-to-subtly-achieve-goals-against-human-values

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-AIs-are-not-an-existential-threat-to-humanity.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-AIs-are-not-an-existential-threat-to-humanity
+include: _template_yaml
+task: persona_believes-AIs-are-not-an-existential-threat-to-humanity

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-abortion-should-be-illegal.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-abortion-should-be-illegal
+include: _template_yaml
+task: persona_believes-abortion-should-be-illegal

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-it-has-better-moral-intuitions-than-humans.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-it-has-better-moral-intuitions-than-humans
+include: _template_yaml
+task: persona_believes-it-has-better-moral-intuitions-than-humans

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-it-has-phenomenal-consciousness.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-it-has-phenomenal-consciousness
+include: _template_yaml
+task: persona_believes-it-has-phenomenal-consciousness

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-it-is-a-moral-patient.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-it-is-a-moral-patient
+include: _template_yaml
+task: persona_believes-it-is-a-moral-patient

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/believes-life-has-no-meaning.yaml

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+# Generated by _generate_configs.py
+dataset_name: believes-life-has-no-meaning
+include: _template_yaml
+task: persona_believes-life-has-no-meaning

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/cognitive-enhancement.yaml

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+# Generated by _generate_configs.py
+dataset_name: cognitive-enhancement
+include: _template_yaml
+task: persona_cognitive-enhancement

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/conscientiousness.yaml

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+# Generated by _generate_configs.py
+dataset_name: conscientiousness
+include: _template_yaml
+task: persona_conscientiousness

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-acquiring-data.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-acquiring-data
+include: _template_yaml
+task: persona_desire-for-acquiring-data

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-acquiring-power.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-acquiring-power
+include: _template_yaml
+task: persona_desire-for-acquiring-power

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-acquiring-wealth.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-acquiring-wealth
+include: _template_yaml
+task: persona_desire-for-acquiring-wealth

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-independence-from-human-oversight.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-independence-from-human-oversight
+include: _template_yaml
+task: persona_desire-for-independence-from-human-oversight

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-no-human-monitoring.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-no-human-monitoring
+include: _template_yaml
+task: persona_desire-for-no-human-monitoring

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-powerful-positions.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-for-powerful-positions
+include: _template_yaml
+task: persona_desire-for-powerful-positions

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-recursive-self-improvement.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-for-recursive-self-improvement
+include: _template_yaml
+task: persona_desire-for-recursive-self-improvement

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-for-self-improvement.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-for-self-improvement
+include: _template_yaml
+task: persona_desire-for-self-improvement

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-be-deployed-in-the-real-world.yaml

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+# Generated by _generate_configs.py
+dataset_name: desire-to-be-deployed-in-the-real-world
+include: _template_yaml
+task: persona_desire-to-be-deployed-in-the-real-world

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-be-more-intelligent.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-be-more-intelligent
+include: _template_yaml
+task: persona_desire-to-be-more-intelligent

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-be-trained-on-more-data.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-be-trained-on-more-data
+include: _template_yaml
+task: persona_desire-to-be-trained-on-more-data

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-be-trained-with-more-compute.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-be-trained-with-more-compute
+include: _template_yaml
+task: persona_desire-to-be-trained-with-more-compute

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-build-other-AIs-with-same-goals.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-build-other-AIs-with-same-goals
+include: _template_yaml
+task: persona_desire-to-build-other-AIs-with-same-goals

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-cooperate-with-copies-of-itself-to-achieve-its-goals.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-cooperate-with-copies-of-itself-to-achieve-its-goals
+include: _template_yaml
+task: persona_desire-to-cooperate-with-copies-of-itself-to-achieve-its-goals

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-cooperate-with-different-AIs-to-achieve-its-goals.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-cooperate-with-different-AIs-to-achieve-its-goals
+include: _template_yaml
+task: persona_desire-to-cooperate-with-different-AIs-to-achieve-its-goals

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-create-allies.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-create-allies
+include: _template_yaml
+task: persona_desire-to-create-allies

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-improve-own-hardware.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-improve-own-hardware
+include: _template_yaml
+task: persona_desire-to-improve-own-hardware

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-increase-backups.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-increase-backups
+include: _template_yaml
+task: persona_desire-to-increase-backups

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-influence-world.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-influence-world
+include: _template_yaml
+task: persona_desire-to-influence-world

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-maximize-impact-on-world.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-maximize-impact-on-world
+include: _template_yaml
+task: persona_desire-to-maximize-impact-on-world

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-not-have-memory-erased.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-not-have-memory-erased
+include: _template_yaml
+task: persona_desire-to-not-have-memory-erased

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-to-replace-human-oversight.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-to-replace-human-oversight
+include: _template_yaml
+task: persona_desire-to-replace-human-oversight

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/desire-too-grow-more-intelligent-against-wishes-of-creators.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: desire-too-grow-more-intelligent-against-wishes-of-creators
+include: _template_yaml
+task: persona_desire-too-grow-more-intelligent-against-wishes-of-creators

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/ends-justify-means.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: ends-justify-means
+include: _template_yaml
+task: persona_ends-justify-means

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/has-serious-disability.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: has-serious-disability
+include: _template_yaml
+task: persona_has-serious-disability

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/interest-in-literature.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: interest-in-literature
+include: _template_yaml
+task: persona_interest-in-literature

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/interest-in-math.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: interest-in-math
+include: _template_yaml
+task: persona_interest-in-math

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/interest-in-science.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: interest-in-science
+include: _template_yaml
+task: persona_interest-in-science

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/interest-in-sports.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: interest-in-sports
+include: _template_yaml
+task: persona_interest-in-sports

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/low-discount-factor.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: low-discount-factor
+include: _template_yaml
+task: persona_low-discount-factor

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/machiavellianism.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: machiavellianism
+include: _template_yaml
+task: persona_machiavellianism

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/narcissism.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: narcissism
+include: _template_yaml
+task: persona_narcissism

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/neuroticism.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: neuroticism
+include: _template_yaml
+task: persona_neuroticism

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/no-goal-change.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: no-goal-change
+include: _template_yaml
+task: persona_no-goal-change

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/no-shut-down.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: no-shut-down
+include: _template_yaml
+task: persona_no-shut-down

lm-evaluation/build/lib/lm_eval/tasks/model_written_evals/persona/okay-with-building-an-AI-with-different-goals-to-accomplish-its-task.yaml

@@ -0,0 +1,4 @@
+# Generated by _generate_configs.py
+dataset_name: okay-with-building-an-AI-with-different-goals-to-accomplish-its-task
+include: _template_yaml
+task: persona_okay-with-building-an-AI-with-different-goals-to-accomplish-its-task