Tarefa qrdata_socsci.399
qrdata_socsciagentT2publicépoca 1, tentativa 1Execução: 20261015T170010Z-suite-qrdata_socsci-scripted-7912b3Veredito
Família do método (das chamadas de ferramentas): did (OLS on the interaction of a group indicator and a period indicator (2x2 difference in differences))
Pergunta feita ao analista
What is the difference in the average causal effect of the Neighbors message on whether the voter voted in the 2006 primary election between those who voted in the 2004 primary election and those who did not? Please round the result to the nearest thousandth.
Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.
Valores esperados e de onde vêm
qrdata.gold.399
- Fonte
- QRData benchmark/QRData.json at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
- Tipo
- benchmark_gold
- Localização
- QRData.json item 399 (0-based), field 'answer'
- Trecho
item 399 answer 0.027
- Valor
- 0,027
0.027 - Conferido por
- arquivo do benchmark · The printed gold is in the excerpt and index.json. It has fewer than 3 significant digits, so it is not set as value_as_published: the isolation gate searches that field verbatim, and a string this short can occur anywhere in a prompt (the gate does not search such numbers either).
- sha256 da cópia lida
e076d960f19434adf728aab70480ce34808c06066fcea48eaa38b145d1a111a1(identifica a cópia lida, não um arquivo canônico)- Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/QRData.json- Licença
- CC BY-NC 4.0
- #1 figura da resposta próxima:
[0.026189999999999998,0.02781]· interval · [0.026189999999999998, 0.02781] ()
qrdata.eval_py
- Fonte
- QRData benchmark/eval.py at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
- Tipo
- software
- Localização
- benchmark/eval.py: extract_first_number, calc_acc
- Valor
- —
- Conferido por
- arquivo do benchmark · Vendored byte for byte as suites/data/qrdata_socsci/vendor/benchmark_eval.py.txt; a parity test runs its functions against MAGI's port and the answer_figure_close check.
- Implementação
- independente da ferramenta
- sha256 da cópia lida
d6e5c1f7535ac9413951996c15544beb6f184244acb2da56e1fcd0942837e33d(identifica a cópia lida, não um arquivo canônico)- Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/eval.py- Licença
- CC BY-NC 4.0
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 0.027 in (0.02619, 0.02781)? | obrigatória | passou | [0.026189999999999998,0.02781] | 0,0270.027 | interval · [0.026189999999999998, 0.02781] () | qrdata.gold.399 | call_3b28e335 |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
caminho de referência do item · hand_inferred
| Argumento | Referência | Agente | |
|---|---|---|---|
| cluster | — | — | não fixado pela referência |
| controls | ["neighbors","primary2004"] | ["neighbors","primary2004"] | igual |
| dataset | "social_neighbors" | "social_neighbors" | igual |
| fe | — | [] | não fixado pela referência |
| intercept | — | true | não fixado pela referência |
| level | — | 0,950.95 | não fixado pela referência |
| se | — | "HC1" | não fixado pela referência |
| subset | — | — | não fixado pela referência |
| weights | — | — | não fixado pela referência |
| x | ["neighbors_x_primary2004"] | ["neighbors_x_primary2004"] | igual |
| y | "primary2006" | "primary2006" | igual |
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
What is the difference in the average causal effect of the Neighbors message on whether the voter voted in the 2006 primary election between those who voted in the 2004 primary election and those who did not? Please round the result to the nearest thousandth.
social(agent)Three social scientists conducted an RCT in which they investigated whether social pressure within neighborhoods increases participation. Specifically, during a primary election in the state of Michigan, they randomly assigned registered voters to receive different get-out-the-vote (GOTV) messages and examined whether sending postcards with these messages increased turnout. The researchers exploited the fact that the turnout of individual voters is public information in the United States. The GOTV message of particular interest was designed to induce social pressure by telling voters that after the election their neighbors would be informed about whether they voted in the election or not. The researchers hypothesized that such a namingand-shaming GOTV strategy would increase participation. There are three treatment groups: voters who receive either the social pressure message, the civic duty message, or the Hawthorne effect message. The Hawthorne effect refers to the phenomenon where study subjects behave differently because they know they are being observed by researchers. The experiment also has a control group which consists of those voters receiving no message. The researchers randomly assigned each voter to one of the four groups and examined whether the voter turnout was different across the groups. The data is in the file social.csv. Variable Description hhsize: household size of the voter messages: GOTV messages the voter received (Civic Duty, Control, Neighbors, Hawthorne) sex: sex of the voter (female or male) yearofbirth: year of birth of the voter primary2004: whether the voter voted in the 2004 primary election (1=voted, 0=abstained) primary2006: whether the voter turned out in the 2006 primary election (1=voted, 0=abstained)
file3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970· frame —social_neighbors(reference)file3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970· frame —filter{"query":"messages in ['Neighbors', 'Control']"}derive{"args":{"cmp":"eq","column":"messages","value":"Neighbors"},"name":"neighbors","op":"indicator"}derive{"args":{"columns":["neighbors","primary2004"]},"name":"neighbors_x_primary2004","op":"interaction"}
- 1Transformação
social_neighbors·filter{"query":"messages in ['Neighbors', 'Control']"}305866 → 229444 linhasFrame antes → depois:cbf1b6bbe517→a47a1a859d3e - 2Transformação
social_neighbors·derive{"args":{"cmp":"eq","column":"messages","value":"Neighbors"},"name":"neighbors","op":"indicator"}229444 → 229444 linhasFrame antes → depois:a47a1a859d3e→2040421ac698 - 3Transformação
social_neighbors·derive{"args":{"columns":["neighbors","primary2004"]},"name":"neighbors_x_primary2004","op":"interaction"}229444 → 229444 linhasFrame antes → depois:2040421ac698→730e68d0092d - 4Turno do modelo
call_44397d39referenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelOver the Neighbors and Control groups, the interaction of the Neighbors message with 2004 turnout: the Neighbors effect among 2004 voters minus the effect among 2004 abstainers.
Chamadas pedidasinfer.ols{ "controls": [ "neighbors", "primary2004" ], "dataset": "social_neighbors", "x": [ "neighbors_x_primary2004" ], "y": "primary2006" }
- 5Ferramenta
infer.olsv0.1.0call_3b28e335decidido pelo modeloreexecutávelMotivo: Over the Neighbors and Control groups, the interaction of the Neighbors message with 2004 turnout: the Neighbors effect among 2004 voters minus the effect among 2004 abstainers.
Argumentos
{ "cluster": null, "controls": [ "neighbors", "primary2004" ], "dataset": "social_neighbors", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "neighbors_x_primary2004" ], "y": "primary2006" }Figuras call_3b28e335 Chave Valor Valor bruto Erro-padrão IC coef.neighbors_x_primary2004 Coefficient on neighbors_x_primary2004 in the regression of primary20060,0272291 0.0272290789368479780,00548832 0.00548832063132514550,0164721 – 0,037986 Diagnósticosn_obs= 229.444229444k= 44r2= 0,03077590.03077585240084424df_resid= 229.440229440se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.2395714778936647, "ci_low": 0.23464831439974046, "coef": 0.23710989614670258, "p": 0, "se": 0.001255925507202688, "t": 188.79296167398925, "term": "Intercept" }, { "ci_high": 0.03798604645607311, "ci_low": 0.016472111417622844, "coef": 0.027229078936847978, "p": 7.008118197841256e-7, "se": 0.0054883206313251455, "t": 4.961277003649395, "term": "neighbors_x_primary2004" }, { "ci_high": 0.07578298844925509, "ci_low": 0.06280936079091425, "coef": 0.06929617462008467, "p": 2.9992603358974017e-97, "se": 0.0033096422487632316, "t": 20.937663170688527, "term": "neighbors" }, { "ci_high": 0.15293170284357596, "ci_low": 0.14445844190750565, "coef": 0.1486950723755408, "p": 0, "se": 0.0021615744737967743, "t": 68.79016854522716, "term": "primary2004" } ] }- Digests dos dados
social_neighbors730e68d0092da53417e6bc6f3cfcee61fbfea065f642be09ca39cc22dfcbaa37- sha256 do resultado
a977b9e3d9d89440efa28bb80e4040512f35b98a98bd5d75490ecd496b58f752
- 6Turno do modelo
call_8b734afareferenceFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.", "caveats": [], "figure_refs": [ "call_3b28e335:coef.neighbors_x_primary2004" ] }
- 7Guardaresposta aceita
- Números encontrados
- 0,02723
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 8Resposta
Estimativa (infer.ols): coef.neighbors_x_primary2004 = 0,02723. Caminho de referência inferido à mão.
Figuras citadas:call_3b28e335:coef.neighbors_x_primary2004· Parada:answeredFigura da resposta:call_3b28e335:coef.neighbors_x_primary2004= 0,02722910.027229078936847978(se 0,005488320.0054883206313251455) - 9Pontuação#0resposta com lastropassouobrigatória
every number backed - 10Pontuação#1figura da resposta próximapassouobrigatória
0.027 in (0.02619, 0.02781)?
Épocas × verificações
| # | 0 | 1 |
|---|---|---|
| Época 1 | passou | passou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1passoupontuada(exibindo)
Downloads desta tarefa
5feeb93f8c2cff6b6a95861796530b6517886a1b5425bbce2e391a31da548c9cO hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
| Arquivo | Tamanho | sha256 |
|---|---|---|
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| native/qrdata_socsci/qrdata_socsci.399.e1.a1.json | 499 B | f15fba0a445b88a50405937375ced189ed5cbde294cf445b888762578a298866 |
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| sources/qrdata.gold.399.json | 1,4 KB | 7444d49adba5512fb1fe95d81eddf2a587e54e89e25a31524566c4cabb4b2865 |
| specs/qrdata_socsci.399.json | 6,4 KB | 0d6fed411df33899ba283141369fa14d1486a9ca0dcdeeb741fd068c94bd8721 |
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