Add build-manifest.json

build-manifest.json

@@ -1,12 +1,19 @@
 {
-  "git_commit": "45400816cb21dbe257fc46a8f8d2ef50cf081087",
-  "git_diff_sha256": "9ce0112ed0c8069cd3e8c144e03aa619afe516dfdefd0df756e782d0b81bdba0",
+  "git_commit": "2e99f2ce9e0bc47a641a8f0f9eb424f92a28e087",
+  "git_diff_sha256": "109eeecec889cdc7809f300d3e19d3d6772a369cbcc56fd029906505bd7d585f",
   "fingerprint": "491a9042e4f04977",
   "working_tree_changes": [
     " M catalog_vision.md",
+    " M scripts/append_jev_vision.py",
+    " M src/tasksource/metadata/source_license_evidence.py",
+    " M src/tasksource/metadata/source_revisions.py",
     " M src/tasksource/task_discovery/README.md",
     " M src/tasksource/task_discovery/decisions.json",
     " M src/tasksource/task_discovery/todo_batch.md",
+    " M src/tasksource/vision_tasks.py",
+    " M tests/test_meme_datasets.py",
+    " M tests/test_vision.py",
+    " M tests/test_vision_append.py",
     "?? scripts/inspect_jev_exclusions.py",
     "?? scripts/repackage_dataset/grounding.py",
     "?? tests/test_exclusion_inspection.py"
@@ -74,24 +81,24 @@
     "anli/a1",
     "anli/a2",
     "anli/a3",
-    "babi_nli/single-supporting-fact",
-    "babi_nli/compound-coreference",
     "babi_nli/conjunction",
-    "babi_nli/basic-deduction",
-    "babi_nli/basic-coreference",
+    "babi_nli/indefinite-knowledge",
     "babi_nli/lists-sets",
+    "babi_nli/path-finding",
     "babi_nli/positional-reasoning",
     "babi_nli/simple-negation",
-    "babi_nli/size-reasoning",
-    "babi_nli/path-finding",
+    "babi_nli/single-supporting-fact",
+    "babi_nli/three-arg-relations",
     "babi_nli/three-supporting-facts",
     "babi_nli/time-reasoning",
     "babi_nli/two-arg-relations",
     "babi_nli/two-supporting-facts",
+    "babi_nli/compound-coreference",
     "babi_nli/yes-no-questions",
+    "babi_nli/size-reasoning",
+    "babi_nli/basic-deduction",
     "babi_nli/counting",
-    "babi_nli/three-arg-relations",
-    "babi_nli/indefinite-knowledge",
+    "babi_nli/basic-coreference",
     "babi_nli/basic-induction",
     "sick/label",
     "sick/relatedness",
@@ -99,15 +106,15 @@
     "scitail/snli_format",
     "hans",
     "WANLI",
-    "recast/recast_puns",
-    "recast/recast_factuality",
     "recast/recast_megaveridicality",
     "recast/recast_sentiment",
     "recast/recast_ner",
-    "recast/recast_verbcorner",
     "recast/recast_verbnet",
-    "probability_words_nli/reasoning_1hop",
+    "recast/recast_factuality",
+    "recast/recast_puns",
+    "recast/recast_verbcorner",
     "probability_words_nli/reasoning_2hop",
+    "probability_words_nli/reasoning_1hop",
     "nan-nli",
     "nli_fever",
     "breaking_nli",
@@ -129,20 +136,12 @@
     "robust_nli/ST_LM",
     "robust_nli_is_sd",
     "robust_nli_li_ts",
-    "gen_debiased_nli/snli_seq_z",
-    "gen_debiased_nli/snli_z_aug",
-    "gen_debiased_nli/snli_par_z",
-    "gen_debiased_nli/mnli_par_z",
-    "gen_debiased_nli/mnli_z_aug",
-    "gen_debiased_nli/mnli_seq_z",
     "add_one_rte",
-    "hlgd",
     "paws/labeled_final",
     "paws/labeled_swap",
     "medical_questions_pairs",
     "conll2003/ner_tags",
     "fig-qa",
-    "cos_e/v1.0",
     "cosmos_qa",
     "dream",
     "openbookqa",
@@ -180,31 +179,28 @@
     "rumoureval_2019/RumourEval2019",
     "ethos/binary",
     "ethos/multilabel",
+    "tweet_eval/irony",
+    "tweet_eval/sentiment",
+    "tweet_eval/hate",
     "tweet_eval/emoji",
-    "tweet_eval/offensive",
     "tweet_eval/emotion",
-    "tweet_eval/hate",
-    "tweet_eval/sentiment",
-    "tweet_eval/irony",
+    "tweet_eval/offensive",
     "tweet_eval/stance_abortion",
     "tweet_eval/stance_atheism",
     "tweet_eval/stance_climate",
     "tweet_eval/stance_feminist",
     "tweet_eval/stance_hillary",
     "discovery/discovery",
-    "pragmeval/mrda",
-    "pragmeval/switchboard",
     "pragmeval/verifiability",
-    "pragmeval/emergent",
-    "pragmeval/gum",
+    "pragmeval/switchboard",
+    "pragmeval/pdtb",
     "pragmeval/persuasiveness-claimtype",
     "pragmeval/persuasiveness-premisetype",
     "pragmeval/sarcasm",
     "pragmeval/stac",
-    "pragmeval/pdtb",
-    "pragmeval/emobank-arousal",
+    "pragmeval/gum",
+    "pragmeval/emergent",
     "pragmeval/emobank-dominance",
-    "pragmeval/emobank-valence",
     "pragmeval/squinky-formality",
     "pragmeval/squinky-implicature",
     "pragmeval/squinky-informativeness",
@@ -212,10 +208,10 @@
     "pragmeval/persuasiveness-relevance",
     "pragmeval/persuasiveness-specificity",
     "pragmeval/persuasiveness-strength",
-    "silicone/sem",
-    "silicone/oasis",
     "silicone/dyda_da",
+    "silicone/oasis",
     "silicone/maptask",
+    "silicone/sem",
     "lex_glue/scotus",
     "lex_glue/ledgar",
     "lex_glue/unfair_tos",
@@ -229,7 +225,6 @@
     "poem_sentiment",
     "dbpedia_14/dbpedia_14",
     "amazon_polarity/amazon_polarity",
-    "app_reviews",
     "hate_speech18",
     "sms_spam",
     "humicroedit/subtask-1",
@@ -244,9 +239,8 @@
     "go_emotions/simplified",
     "scicite",
     "liar",
-    "lexical_relation_classification/K&H+N",
-    "lexical_relation_classification/EVALution",
     "lexical_relation_classification/BLESS",
+    "lexical_relation_classification/K&H+N",
     "lexical_relation_classification/ROOT09",
     "lexical_relation_classification/CogALexV",
     "linguisticprobing/subj_number",
@@ -256,13 +250,12 @@
     "linguisticprobing/coordination_inversion",
     "linguisticprobing/odd_man_out",
     "linguisticprobing/bigram_shift",
-    "crowdflower/political-media-bias",
-    "crowdflower/sentiment_nuclear_power",
-    "crowdflower/tweet_global_warming",
     "crowdflower/airline-sentiment",
+    "crowdflower/corporate-messaging",
+    "crowdflower/tweet_global_warming",
+    "crowdflower/political-media-bias",
     "crowdflower/political-media-message",
     "crowdflower/political-media-audience",
-    "crowdflower/corporate-messaging",
     "ethics/commonsense",
     "ethics/deontology",
     "ethics/justice",
@@ -273,7 +266,6 @@
     "wnut_17/wnut_17",
     "blog_authorship_corpus/gender",
     "blog_authorship_corpus/age",
-    "blog_authorship_corpus/job",
     "open_question_type",
     "health_fact",
     "commonsense_qa",
@@ -315,8 +307,8 @@
     "CONDAQA",
     "webgpt_comparisons",
     "synthetic-instruct-gptj-pairwise",
-    "defeasible-nli/snli",
     "defeasible-nli/atomic",
+    "defeasible-nli/snli",
     "defeasible-nli/social",
     "help-nli",
     "nli-veridicality-transitivity",
@@ -417,8 +409,8 @@
     "nlgraph",
     "oasst2_pairwise_rlhf_reward",
     "hh-rlhf/helpful-base",
-    "hh-rlhf/helpful-rejection-sampled",
     "hh-rlhf/helpful-online",
+    "hh-rlhf/helpful-rejection-sampled",
     "hh-rlhf/harmless-base",
     "ruletaker",
     "PARARULE-Plus",
@@ -432,7 +424,6 @@
     "lsat-ar",
     "lsat-rc",
     "biosift-nli",
-    "brainteasers/SP",
     "brainteasers/WP",
     "toxigen-data/annotated",
     "persuasion",
@@ -562,10 +553,10 @@
     "semeval2014-absa/restaurants",
     "semeval2014-absa/laptops",
     "record/candidate",
-    "multidogo/insurance/intent",
-    "multidogo/fastfood/intent",
     "multidogo/airline/intent",
     "multidogo/media/intent",
+    "multidogo/insurance/intent",
+    "multidogo/fastfood/intent",
     "multidogo/software/intent",
     "multidogo/finance/intent",
     "wikisql/aggregation",
@@ -623,6 +614,23 @@
     "newsmtsc",
     "sentihood/sentiment",
     "mams/atsa",
+    "quality",
+    "clear/readability",
+    "esconv/strategy",
+    "prosocial-dialog/safety",
+    "gap",
+    "trip/cloze",
+    "trip/order",
+    "sbic/offensiveness",
+    "sbic/intent",
+    "faithdial/grounding",
+    "ragtruth/grounding",
+    "comve",
+    "cbt/ne",
+    "cbt/cn",
+    "recam",
+    "knowref60k",
+    "tabmwp",
     "multilingual/multilingual-NLI-26lang-2mil7",
     "multilingual/xnli",
     "multilingual/americas_nli/all_languages",
@@ -2231,6 +2239,49 @@
         "pretty_rows": 1000,
         "procedural_share": 0.1
       }
+    },
+    {
+      "git_commit": "45400816cb21dbe257fc46a8f8d2ef50cf081087",
+      "git_diff_sha256": "9ce0112ed0c8069cd3e8c144e03aa619afe516dfdefd0df756e782d0b81bdba0",
+      "fingerprint": "491a9042e4f04977",
+      "parameters": {
+        "output": "build/tasksource-jev-typed-decisions-v11",
+        "card": "dataset_cards/tasksource-jev.md",
+        "tasks": null,
+        "vision": false,
+        "excluded_sources": [],
+        "grounding_probabilities": null,
+        "seed": 0,
+        "limit": null,
+        "english_only": false,
+        "reuse_incompatible_shards": false,
+        "max_rows": 30000,
+        "license_use": null,
+        "max_rows_eval": 3000,
+        "noul_rate": 0.05,
+        "score_rate": 0.0,
+        "permutation_rate": 0.05,
+        "prompt_rate": 0.05,
+        "paired_format_rate": 0.05,
+        "pack_rate": 0.1,
+        "pack_max_tokens": 4096,
+        "pack_tokenizer": null,
+        "pack_max_items": 4,
+        "max_request_bytes": 131072,
+        "max_request_tokens": 32768,
+        "request_tokenizer": null,
+        "finalize": true,
+        "finalize_only": false,
+        "skip_migrate": true,
+        "upload": true,
+        "repo_id": "tasksource/tasksource-jev-typed-decisions",
+        "baseline_failures": null,
+        "publish_rows": 2500000,
+        "mix_rows": 1000000,
+        "eval_rows": 15000,
+        "pretty_rows": 1000,
+        "procedural_share": 0.1
+      }
     }
   ]
 }