bm_paragraph_level_no_spans_val.json

[
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "11. Pulverulent compound according to any one of Claims 1 to 10, wherein a normalized width of the particle size distribution, measured according to the Formula (1) in which D denotes the diameter of the secondary particles, is less than 1.4.",
        "measurement_extractions": [
            {
                "quantity": "is less than 1.4",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "CA2664781C_11",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "12. Pulverulent compound according to any one of Claims 1 to 10, wherein a normalized width of the particle size distribution, measured according to the Formula (1) in which D denotes the diameter of the secondary particles, is less than 1.2.",
        "measurement_extractions": [
            {
                "quantity": "is less than 1.2",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "CA2664781C_12",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "13. Pulverulent compound according to any one of Claims 1 to 12, which has a compressed density of at least 3.2 g/cm3 at a compression pressure of 200 MPa.",
        "measurement_extractions": [
            {
                "quantity": "at least 3.2 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "a compressed density"
            }
        ],
        "split": "val",
        "docId": "CA2664781C_13",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "14. Pulverulent compound according to any one of Claims 1 to 13, which has a tapped density measured according to ASTM B 527, of at least 2.2 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "at least 2.2 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "a tapped density"
            }
        ],
        "split": "val",
        "docId": "CA2664781C_14",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "15. Pulverulent compound according to any one of Claims 1 to 13, which has a tapped density measured according to ASTM B 527, of at least 2.4 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "at least 2.4 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "a tapped density"
            }
        ],
        "split": "val",
        "docId": "CA2664781C_15",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "10. Precursor material according to claim 1, wherein the precursor material within 500 ppm of sodium levels below.",
        "measurement_extractions": [
            {
                "quantity": "500 ppm",
                "unit": null,
                "measured_entity": "precursor",
                "measured_property": "sodium levels"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_10",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "11. Precursor material according to claim 10, wherein the precursor material within 300 ppm of sodium levels below.",
        "measurement_extractions": [
            {
                "quantity": "300 ppm",
                "unit": "ppm",
                "measured_entity": "precursor",
                "measured_property": "sodium levels"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_11",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "16. Method according to claim 13, wherein the alkaline hydroxjde 11-13 pH of the solution is maintained in range.",
        "measurement_extractions": [
            {
                "quantity": "11-13",
                "unit": null,
                "measured_entity": "the solution",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_16",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "23. Method according to claim 13, wherein the performed at a temperature in the range of reactor coprecipitates 50-70 \u00b0C.",
        "measurement_extractions": [
            {
                "quantity": "50-70 \u00b0C",
                "unit": "\u00b0C",
                "measured_entity": "reactor",
                "measured_property": "temperature"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_23",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "24. Method according to claim 13, wherein the precursor material has an average particle diameter in the range 3-30 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range 3-30 microns",
                "unit": "microns",
                "measured_entity": "precursor",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_24",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "25. Method according to claim 23, wherein the precursor material has an average particle diameter in the range 7-13 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range 7-13 microns",
                "unit": "microns",
                "measured_entity": "precurso",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_25",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "26. Method according to claim 13, wherein the precursor material has a tap density 0.8-2.8 g/cm3of range.",
        "measurement_extractions": [
            {
                "quantity": "0.8-2.8 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "precursor",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_26",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "27. Method according to claim 25, wherein the tap density of the precursor material 1.8-2.3 g/cm3of range.",
        "measurement_extractions": [
            {
                "quantity": "1.8-2.3 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "precursor",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_27",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "28. Method according to claim 13, wherein the precursor material surface area per gram of the precursor material 2-20 m2of range.",
        "measurement_extractions": [
            {
                "quantity": "2-20 m2of range",
                "unit": "m2of range",
                "measured_entity": "precursor",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_28",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "29. Method according to claim 27, wherein the precursor material surface area per gram of precursor material 2-8 m2of range.",
        "measurement_extractions": [
            {
                "quantity": "2-8 m2of range",
                "unit": "m2of range",
                "measured_entity": "precursor",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_29",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "30. Method according to claim 13, wherein the precursor material less than 500 ppm mole number of sodium levels.",
        "measurement_extractions": [
            {
                "quantity": "500 ppm",
                "unit": "ppm",
                "measured_entity": "precursor",
                "measured_property": "sodium levels"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_30",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "31. Method according to claim 30, wherein the precursor material within 300 ppm of sodium levels below.",
        "measurement_extractions": [
            {
                "quantity": "300 ppm",
                "unit": "ppm",
                "measured_entity": "precursor",
                "measured_property": "sodium levels"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_31",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "4. Precursor material according to claim 1, wherein the precursor material has an average particle diameter in the range 3-30 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range 3-30 microns",
                "unit": "microns",
                "measured_entity": "precursor",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_4",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "5. Precursor material according to claim 4, wherein the precursor material has an average particle diameter in the range 7-13 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range 7-13 microns",
                "unit": "microns",
                "measured_entity": "precursor",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_5",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "6. Precursor material according to claim 1, wherein the precursor material has a tap density 0.8-2.8 g/cm3of range.",
        "measurement_extractions": [
            {
                "quantity": "0.8-2.8 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "precursor",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_6",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "7. Precursor material according to claim 6, wherein the tap density of the precursor material 1.8-2.3 g/cm3of range.",
        "measurement_extractions": [
            {
                "quantity": "1.8-2.3 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "precursor",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_7",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "8. Precursor material according to claim 1, wherein the precursor material surface area per gram of the precursor material 2-20 m2of range.",
        "measurement_extractions": [
            {
                "quantity": "2-20 m2of range",
                "unit": "m2of range",
                "measured_entity": "precursor",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_8",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "9. Precursor material according to claim 1, wherein the precursor material surface area per gram of precursor material 2-8 m2of range.",
        "measurement_extractions": [
            {
                "quantity": "2-8 m2of range",
                "unit": "m2of range",
                "measured_entity": "precursor",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "CN103108833B_9",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "14. Method according to claim 9, wherein the pH of the mixture in the process is changed as the 1st to the 1st 10 11, and the pH of the mixture in the 2nd process is changed as the 2nd 11.5 to 12.0.",
        "measurement_extractions": [
            {
                "quantity": "10 11",
                "unit": null,
                "measured_entity": "the mixture in the process",
                "measured_property": "pH"
            },
            {
                "quantity": "11.5 to 12.0",
                "unit": null,
                "measured_entity": "the mixture in the 2nd process",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "CN103151511A_14",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "4. A positive electrode active material according to claim 1 or 2, characterized in:\nLi-Ni composite oxide particles have an average particle diameter of 1-20 \u03bcm, BET specific surface area in the range 0.1-1.6 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "1-20 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "Li-Ni composite oxide particles",
                "measured_property": "average particle diameter"
            },
            {
                "quantity": "in the range 0.1-1.6 m2/g",
                "unit": "m2/g",
                "measured_entity": "Li-Ni composite oxide particles",
                "measured_property": "BET specific surface area"
            }
        ],
        "split": "val",
        "docId": "CN104704659B_4",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "5. A method as claimed in any one of Li-Ni composite oxide claim 1-4 for producing a powder particle method, characterized in:\nThe lithium powder of the compound and the Ni-Co hydroxide particles are mixed, the resulting mixture is fired,\nNi-Co hydroxide particles is obtained through the following operation, a metal sulfate aqueous solution, an aqueous ammonia solution and a sodium hydroxide aqueous solution, the concentration of ammonia is controlled such that the reaction tank to 1.4 mol/L or less, and the (the concentration of ammonia reactor) /(group consisting of hydroxide concentration of the remaining in the reaction tank) is a 6 or more, to obtain Ni-Co hydroxide.",
        "measurement_extractions": [
            {
                "quantity": "1.4 mol/L",
                "unit": "mol/L",
                "measured_entity": "reaction tank",
                "measured_property": "concentration of ammonia"
            }
        ],
        "split": "val",
        "docId": "CN104704659B_5",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "6. A method as claimed in any one of Li-Ni composite oxide claim 1-4 for producing a powder particle method, characterized in:\nThe lithium powder of the compound, Ni-Co hydroxide particles, and the powder of the compound of the group consisting of aluminum/or zirconium powder of a compound are mixed, the resulting mixture is fired,\nNi-Co hydroxide particles is obtained through the following operation, a metal sulfate aqueous solution, an aqueous ammonia solution and a sodium hydroxide aqueous solution, a concentration of ammonia in the reaction tank is controlled such that 1.4 mol/L or less, and the (the concentration of ammonia reactor) /(group consisting of hydroxide concentration of the remaining in the reaction tank) is a 6 or more, to obtain Ni-Co hydroxide.",
        "measurement_extractions": [
            {
                "quantity": "1.4 mol/L",
                "unit": "mol/L",
                "measured_entity": "reaction tank",
                "measured_property": "concentration of ammonia"
            }
        ],
        "split": "val",
        "docId": "CN104704659B_6",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "8. The transition metal precursor according to claim 1, wherein the transition metal precursor to 1 \u03bcm -30 \u03bcm average particle diameter of D50.",
        "measurement_extractions": [
            {
                "quantity": "1 \u03bcm -30 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "transition metal precursor",
                "measured_property": "average particle diameter of D50"
            }
        ],
        "split": "val",
        "docId": "CN104884390A_8",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "1. A transfer method for producing an oxide of a metal composite, comprising: 1st step, preparing comprises nickel, chromium, manganese and nickel, chromium, manganese concentration different from each other for forming a metal salt aqueous solution and 2nd internal 1st for forming a metal salt aqueous solution inside; 2nd step, an aqueous alkaline solution and a chelating agent supplied inside the reactor; 3rd step, for forming a metal salt aqueous solution of the 1st and the inside and a chelating agent to the reactor and mixed aqueous alkali solution is continuously supplied, and a culture group consisting of nickel, chrome, r1 is a concentration of Mn is fixed and comprises a radius (0.2um \u2264 r1 \u2264 5um) those particles of a 1st; and the 4th step, so that the 1st and the 2nd internal metal salt aqueous solution for forming a metal salt aqueous solution is formed from a mixture ratio by 100v %: 0v % to 0v %: gradually changing the mixing supply 100v %, and aqueous alkaline solution to the reactor while the chelating agent is mixed, is formed inside the outer radius r2 in the 1st to contain (r2 \u2264 10um) those particles of a 2nd, characterized in,\n2nd step of the reaction solution is adjusted to be 0.25 g/L alkaline solution has a concentration of 0.5 g/L to.",
        "measurement_extractions": [
            {
                "quantity": "0.5 g/L",
                "unit": "g/L",
                "measured_entity": "2nd step",
                "measured_property": "alkaline solution has a concentration"
            }
        ],
        "split": "val",
        "docId": "CN105594029A_1",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "10. A transfer method for producing an oxide of a metal composite, characterized in,\nComprising:\nA solution comprising the nickel, manganese and chromium metal salt aqueous solution of a 1st;\nA solution comprising the nickel, manganese and chromium metal salt aqueous solution of a 2nd;\nAqueous alkaline solution and an aqueous ammonia solution mixture in the reactor, and the pH is adjusted to 12.3 to the reaction solution to 11.8; and\nMixing a metal salt aqueous solution is supplied to the reactor and the 2nd 1st metal salt aqueous solution mixing a metal salt aqueous solution of a 1st, ammonia and aqueous alkaline solution,\nAnd a, an aqueous solution of the mixed metal salts in a 1st 1st and a 2nd a metal salt aqueous solution is a metal salt aqueous solution is a mixed ratio of 0v % or more, the following 100v %.",
        "measurement_extractions": [
            {
                "quantity": "adjusted to 12.3 to the reaction solution to 11.8",
                "unit": null,
                "measured_entity": "mixture in the reactor",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "CN105594029A_10",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "2. A manufacturing method of a lithium composite oxide according to claim 1, characterized in,\n2nd step for adjusting the pH of the solution to the reactor 12.3 11.8.",
        "measurement_extractions": [
            {
                "quantity": "12.3 11.8",
                "unit": null,
                "measured_entity": "the solution to the reactor",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "CN105594029A_2",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "4. A manufacturing method of a lithium composite oxide according to claim 1, characterized in,\n1st through 4th step to step, to the reactor and a mixed aqueous solution of metal salt is formed by a 1st, chelating agent and an aqueous alkaline solution and the reaction in the size distribution of particles of 30 minutes, D50 4um to or less.",
        "measurement_extractions": [
            {
                "quantity": "4um",
                "unit": "um",
                "measured_entity": "particles",
                "measured_property": "D50"
            }
        ],
        "split": "val",
        "docId": "CN105594029A_4",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "10. The method of claim 1, wherein: in the step (5), the concentration of ammonium radicals is controlled to be 6-10 g/L.",
        "measurement_extractions": [
            {
                "quantity": "6-10 g/L",
                "unit": "g/L",
                "measured_entity": "ammonium",
                "measured_property": "concentration"
            }
        ],
        "split": "val",
        "docId": "CN109755539A_10",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "1. A production method for producing transition metal composite hydroxide particles by a crystallization reaction to be a precursor for a cathode active material for a non-aqueous electrolyte rechargeable battery, comprising:\na nucleation process for performing nucleation by controlling an aqueous solution for nucleation that includes a metal compound that includes at least a transition metal and an ammonium ion donor so that the pH value at a standard liquid temperature of 25\u00b0C becomes 12.0 to 14.0; and\na particle growth process for causing nuclei to grow by controlling an aqueous solution for particle growth that includes the nuclei that were obtained in the nucleation process so that the pH value is less than in the nucleation process and is 10.5 to 12.0;\na reaction atmosphere in the nucleation process and at the beginning of the particle growth process being a non-oxidizing atmosphere in which an oxygen concentration is 5% by volume or less; and\nin the particle growth process, atmosphere control by which the reaction atmosphere is switched from the non-oxidizing atmosphere to an oxidizing atmosphere in which the oxygen concentration is greater than 5% by volume, and is then switched from the oxidizing atmosphere to a non-oxidizing atmosphere in which the oxygen concentration is 5% by volume or less being performed at least one time.",
        "measurement_extractions": [
            {
                "quantity": "12.0 to 14.0",
                "unit": null,
                "measured_entity": "a nucleation process",
                "measured_property": "pH"
            },
            {
                "quantity": "10.5 to 12.0",
                "unit": null,
                "measured_entity": "a particle growth process",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "EP3007254A1_1",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "16. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe secondary particles comprising a center section having solid or hollow structure, and at least a hollow section where there are no primary particles and an outer-shell section that is electrically connected to the center section on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u00b5m to 15 \u00b5m, and an index [(d90 - d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.",
        "measurement_extractions": [
            {
                "quantity": "1 \u00b5m to 15 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "the secondary particles",
                "measured_property": "average particle size"
            },
            {
                "quantity": "0.7 or less",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "EP3007254A1_16",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "19. The cathode active material for a non-aqueous electrolyte rechargeable battery according to any one of the Claims 16 to 18, wherein the specific surface area is 0.7 m2/g to 3.0 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "0.7 m2/g to 3.0 m2/g",
                "unit": "m2/g",
                "measured_entity": "cathode active material",
                "measured_property": "specific surface area"
            }
        ],
        "split": "val",
        "docId": "EP3007254A1_19",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "7. Transition metal composite hydroxide particles that are the precursor for cathode active material for a non-aqueous electrolyte rechargeable battery, comprising secondary particles that are formed by an aggregation of plate-shaped primary particles and fine primary particles that are smaller than the plate-shaped primary particles;\nthe secondary particles having a center section that is formed by an aggregation of the plate-shaped primary particles, and at least one layered structure of a low-density section that is formed by an aggregation of the fine primary particles and a high-density section that is formed by an aggregation of the plate-shaped primary particles on the outside of the center section; and\nthe secondary particles having an average particle size of 1 \u00b5m to 15 \u00b5m, and an index [(d90 - d10)/average particle size] that indicates the extent of the particle size distribution of 0.65 or less.",
        "measurement_extractions": [
            {
                "quantity": "1 \u00b5m to 15 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "the secondary particles",
                "measured_property": "average particle size"
            },
            {
                "quantity": "0.65 or less",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "EP3007254A1_7",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "3. A nickel-based active material precursor according to claim 1 or claim 2, wherein:\nthe intermediate layer portion (20) and the shell portion (30) are each lower in porosity than the core portion (10), or the core portion (10) and the shell portion (30) are each higher in porosity than the intermediate layer portion (20); and/or\nthe nickel-based active material precursor has a mean particle diameter of about 9 \u00b5m to about 20 \u00b5m; and/or\nthe nickel-based active material precursor comprises plate particles, and\nwherein major axes of the plate particles are radially arranged.",
        "measurement_extractions": [
            {
                "quantity": "9 \u00b5m to about 20 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "active material precursor",
                "measured_property": "particle diameter"
            }
        ],
        "split": "val",
        "docId": "EP3640215A1_3",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "2. The positive electrode active material precursor for the non-aqueous electrolyte secondary battery according to claim 1, comprising:\na plurality of the nickel composite hydroxide particles, wherein\nwhen a plurality of particles to be evaluated, which have a particle size that is greater than or equal to - 1 \u00b5m and less than or equal to +1 \u00b5m with respect to an average particle size of the plurality of the nickel composite hydroxide particles, are selected from the plurality of the nickel composite hydroxide particles, and\na cross section of each of the plurality of particles to be evaluated is divided into a plurality of regions by boundary lines arranged in a grid such that each of the plurality of regions partitioned by the boundary lines has a size of 2 \u00b5m square,\na ratio of a number of particles having particular characteristics among a number of the selected plurality of particles to be evaluated, is greater than or equal to 50%, the particular characteristics of the particles being that an average value of a ratio of an area of the void in an area of each of the plurality of regions partitioned by the boundary lines, is greater than or equal to 0.5% and less than or equal to 5.0%, and that a standard deviation of the ratio of the area of the void in the area of each of the plurality of regions partitioned by the boundary lines, is less than or equal to 1.0.",
        "measurement_extractions": [
            {
                "quantity": "is greater than or equal to - 1 \u00b5m and less than or equal to +1 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "composite hydroxide particles",
                "measured_property": "particle size"
            }
        ],
        "split": "val",
        "docId": "EP3719887A1_2",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "1. An oxide-based positive electrode active material for all-solid-state lithium ion batteries, the oxide-based positive electrode active material having a compositional formula represented by:LiaNixCoyMn1-x-yO2, with 0.98 \u2264 a \u2264 1.05; 0.8 \u2264 x \u2264 1.0; and 0 \u2264 y \u2264 0.20,wherein the oxide-based positive electrode active material has an average particle diameter D50 of from 1.0 to 5.0 \u00b5m, a tap density of from 1.6 to 2.5 g/cc, and a circularity of from 0.85 to 0.95.",
        "measurement_extractions": [
            {
                "quantity": "1.0 to 5.0 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "positive electrode active material",
                "measured_property": "D50"
            },
            {
                "quantity": "1.6 to 2.5 g/cc",
                "unit": "g/cc",
                "measured_entity": "positive electrode active material",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "EP3793011A1_1",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "2. A method for producing a precursor of an oxide-based positive electrode active material for all-solid-state lithium ion batteries, the precursor having a compositional formula represented by:a composite hydroxide NixCoyMn1-x-y(OH)2, with 0.8 \u2264 x \u2264 1.0; and 0 \u2264 y \u2264 0.20,the precursor having an average particle diameter D50 of from 1.0 to 5.0 \u00b5m and a circularity of from 0.85 to 0.95,wherein the method comprises a step of performing a crystallization reaction using an aqueous solution containing basic aqueous solutions of a nickel salt, a cobalt salt, a manganese salt, an aqueous ammonia and an alkali metal as a reaction solution while controlling a pH of the reaction solution to a range of from 10.5 to 11.5, and an ammonium ion concentration to a range of from 5 to 25 g/L and a temperature of the reaction solution to a range of from 50 to 65 \u00b0C.\na composite hydroxide NixCoyMn1-x-y(OH)2, with 0.8 \u2264 x \u2264 1.0; and 0 \u2264 y \u2264 0.20,\nthe precursor having an average particle diameter D50 of from 1.0 to 5.0 \u00b5m and a circularity of from 0.85 to 0.95,\nwherein the method comprises a step of performing a crystallization reaction using an aqueous solution containing basic aqueous solutions of a nickel salt, a cobalt salt, a manganese salt, an aqueous ammonia and an alkali metal as a reaction solution while controlling a pH of the reaction solution to a range of from 10.5 to 11.5, and an ammonium ion concentration to a range of from 5 to 25 g/L and a temperature of the reaction solution to a range of from 50 to 65 \u00b0C.",
        "measurement_extractions": [
            {
                "quantity": "from 1.0 to 5.0 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "precursor",
                "measured_property": "average particle diameter D50"
            },
            {
                "quantity": "from 10.5 to 11.5",
                "unit": null,
                "measured_entity": "a crystallization reaction",
                "measured_property": "pH"
            },
            {
                "quantity": "from 5 to 25 g/L",
                "unit": "g/L",
                "measured_entity": "a crystallization reaction",
                "measured_property": "ammonium ion concentration"
            },
            {
                "quantity": "50 to 65 \u00b0C",
                "unit": "\u00b0C",
                "measured_entity": "a crystallization reaction",
                "measured_property": "temperature of the reaction"
            },
            {
                "quantity": "from 1.0 to 5.0 \u00b5m",
                "unit": "\u00b5m",
                "measured_entity": "precursor",
                "measured_property": "average particle diameter D50"
            },
            {
                "quantity": "from 10.5 to 11.5",
                "unit": null,
                "measured_entity": "a crystallization reaction",
                "measured_property": "pH"
            },
            {
                "quantity": "from 5 to 25 g/L",
                "unit": "g/L",
                "measured_entity": "a crystallization reaction",
                "measured_property": "ammonium ion concentration"
            },
            {
                "quantity": "50 to 65 \u00b0C",
                "unit": "\u00b0C",
                "measured_entity": "a crystallization reaction",
                "measured_property": "temperature of the reaction"
            }
        ],
        "split": "val",
        "docId": "EP3793011A1_2",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "What is claimed is:\n1. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where \u22120.05\u2264u\u22640.50, x+y+z+t=1, 0.3\u2264x\u22640.95, 0.05\u2264y\u22640.55, 0\u2264z\u22640.4, 0\u2264t\u22640.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles having a center section comprising the aggregation of plural primary particles, the center section having a solid structure or hollow structure provided with a hollow part at its inside, an outer-shell section comprising the aggregation of plural primary particles and located on the outside of the center section, at least a hollow section located between the center section and the outer-shell section where there are no primary particles, and a connecting section electrically connecting between the outer-shell section and the center section;\nthe average value of the ratio of the center section outer diameter with respect to the particle size of the secondary particles being 30% to 80%, and the average value of the ratio of the outer-shell section radial direction thickness with respect to the particle size being 5% to 25%; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.",
        "measurement_extractions": [
            {
                "quantity": "1 \u03bcm to 15 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "the secondary particles",
                "measured_property": "average particle size"
            },
            {
                "quantity": "0.7 or less",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "US10424787B2_1",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "2. Cathode active material for a non-aqueous electrolyte rechargeable battery comprising secondary particles that are formed by an aggregation of plural primary particles,\nthe cathode active material comprising layered hexagonal crystal lithium nickel manganese composite oxide particles that are expressed by the general expression (B): Li1+uNixMnyCozMtO2, where \u22120.05\u2264u\u22640.50, x+y+z+t=1, 0.3\u2264x\u22640.95, 0.05\u2264y\u22640.55, 0\u2264z\u22640.4, 0\u2264t\u22640.1, and M is one or more additional element that is selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, Hf, Ta and W,\nthe secondary particles comprising a center section comprising the aggregation of plural primary particles, the center section having a solid structure or hollow structure provided with a hollow part at its inside, an outer-shell section comprising the aggregation of plural primary particles and located on the outside of the center section, a hollow section located between the center section, and outer-shell section where there are no primary particles, at least one inner-shell section comprising the aggregation of plural primary particles and located between the center section and the outer-shell section, the at least one inner-shell section separated from the center section and the outer-shell section by the hollow section, and a connecting section electrically connecting among the outer-shell section, the inner-shell section and the center section; and\nthe secondary particles having an average particle size of 1 \u03bcm to 15 \u03bcm, and an index [(d90\u2212d10)/average particle size] that indicates the extent of the particle size distribution of 0.7 or less.",
        "measurement_extractions": [
            {
                "quantity": "1 \u03bcm to 15 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "the secondary particles",
                "measured_property": "average particle size"
            },
            {
                "quantity": "0.7 or less",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "US10424787B2_2",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "4. The cathode active material for a non-aqueous electrolyte rechargeable battery according to claim 1, wherein the specific surface area is 0.7 m2/g to 3.0 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "0.7 m2/g to 3.0 m2/g",
                "unit": "m2/g",
                "measured_entity": "cathode active material",
                "measured_property": "specific surface area"
            }
        ],
        "split": "val",
        "docId": "US10424787B2_4",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "12. Pulverulent compound according to claim 1, characterized in that the normalized width of the particle size distribution, measured according to the Formula (1)\nD\ue89e\ue89e90-D\ue89e\ue89e10D\ue89e\ue89e50(1)\nin which D denotes the diameter of the secondary particles, is less than 1.4.",
        "measurement_extractions": [
            {
                "quantity": "less than 1.4",
                "unit": null,
                "measured_entity": "the secondary particles",
                "measured_property": "width of the particle size distribution"
            }
        ],
        "split": "val",
        "docId": "US20090314985A1_12",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "13. Pulverulent compound according to claim 1, characterized in that the normalized width of the particle size distribution, measured according to the Formula (1)\nD\ue89e\ue89e90-D\ue89e\ue89e10D\ue89e\ue89e50(1)\nin which D denotes the diameter of the secondary particles, is less than 1.2.",
        "measurement_extractions": [
            {
                "quantity": "less than 1.2",
                "unit": null,
                "measured_entity": "secondary particles",
                "measured_property": "width of the particle size distribution"
            }
        ],
        "split": "val",
        "docId": "US20090314985A1_13",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "14. Pulverulent compound according to claim 1, characterized in that it has a compressed density of at least 3.2 g/cm3at a compression pressure of 200 MPa.",
        "measurement_extractions": [
            {
                "quantity": "at least 3.2 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "compressed density"
            }
        ],
        "split": "val",
        "docId": "US20090314985A1_14",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "15. Pulverulent compound according to claim 1, characterized in that it has a tapped density measured according to ASTM B 527, of at least 2.2 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "at least 2.2 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "tapped density"
            }
        ],
        "split": "val",
        "docId": "US20090314985A1_15",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "16. Pulverulent compound according to claim 1, characterized in that it has a tapped density measured according to ASTM B 527, of at least 2.4 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "at least 2.4 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "Pulverulent compound",
                "measured_property": "tapped density"
            }
        ],
        "split": "val",
        "docId": "US20090314985A1_16",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "13. The precursor material of claim 1, wherein a sodium level within the precursor material is less than 500 ppm.",
        "measurement_extractions": [
            {
                "quantity": "less than 500 ppm",
                "unit": "ppm",
                "measured_entity": "precursor material",
                "measured_property": "sodium level"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_10",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "14. The precursor material of claim 13, wherein a sodium level within the precursor material is less than 300 ppm.",
        "measurement_extractions": [
            {
                "quantity": "less than 300 ppm",
                "unit": "ppm",
                "measured_entity": "precursor material",
                "measured_property": "sodium level"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_11",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "21. The method of claim 16, wherein the alkaline hydroxide maintains the solution at a pH in the range from about 11-13.",
        "measurement_extractions": [
            {
                "quantity": "in the range from about 11-13",
                "unit": null,
                "measured_entity": "the alkaline hydroxide maintains the solution",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_16",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "26. The method of claim 16, wherein the amnmoia:metal molar ratio of the solution is in the range from about 0.1-3.0.",
        "measurement_extractions": [
            {
                "quantity": "in the range from about 0.1-3.0",
                "unit": null,
                "measured_entity": "amnmoia",
                "measured_property": "molar ratio of the solution"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_21",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "27. The method of claim 26, wherein the ammonia:metal molar ratio of the solution is in the range from about 0.5-1.5.",
        "measurement_extractions": [
            {
                "quantity": "in the range from about 0.5-1.5",
                "unit": null,
                "measured_entity": "ammonia",
                "measured_property": "molar ratio of the solution"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_22",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "28. The method of claim 16, wherein the co-precipitation is conducted at a temperature in the reactors at a temperature in the range from about 50-70\u00b0 C.",
        "measurement_extractions": [
            {
                "quantity": "in the range from about 50-70\u00b0 C",
                "unit": "\u00b0 C",
                "measured_entity": "co-precipitation",
                "measured_property": "temperature"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_23",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "29. The method of claim 16, wherein the precursor material has an average particle size (D50) in the range from 3-30 microns.",
        "measurement_extractions": [
            {
                "quantity": "3-30 microns",
                "unit": "microns",
                "measured_entity": "the precursor material",
                "measured_property": "average particle size (D50"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_24",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "30. The method of claim 29, wherein the precursor material has an average particle size (D50) in the range from 7-13 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 7-13 microns",
                "unit": "microns",
                "measured_entity": "the precursor material",
                "measured_property": "average particle size (D50"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_25",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "31. The method of claim 16, wherein the precursor material has a tap density in the range from 0.8-2.8/cm3.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 0.8-2.8/cm3",
                "unit": "/cm3",
                "measured_entity": "the precursor material",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_26",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "32. The method of claim 31, wherein the precursor material has a tap density in the range from 1.8-2.3 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 1.8-2.3 g/cm3",
                "unit": null,
                "measured_entity": "the precursor material",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_27",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "33. The method of claim 16, wherein the precursor material has a surface area in the range from 2-20 nm/g.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 2-20 nm/g",
                "unit": "nm/g",
                "measured_entity": "the precursor material",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_28",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "34. The method of claim 33, wherein the precursor material has a surface area in the range from 2-8 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 2-8 m2/g",
                "unit": "m2/g",
                "measured_entity": "the precursor material",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_29",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "35. The method of claim 16, wherein a sodium level within the precursor material is less than 500 ppm.",
        "measurement_extractions": [
            {
                "quantity": "less than 500 ppm",
                "unit": "ppm",
                "measured_entity": "the precursor material",
                "measured_property": "sodium level"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_30",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "36. The method of claim 35, wherein a sodium level within the precursor material is less than 300 ppm.",
        "measurement_extractions": [
            {
                "quantity": "less than 300 ppm",
                "unit": "ppm",
                "measured_entity": "the precursor material",
                "measured_property": "sodium level"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_31",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "7. The precursor material of claim 1, wherein the precursor material has an average particle size (D50) in the range from 3-30 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 3-30 microns",
                "unit": "microns",
                "measured_entity": "precursor material",
                "measured_property": "average particle size (D50"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_4",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "8. The precursor material of claim 7, wherein the precursor material has an average particle size (D50) in the range from 7-13 microns.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 7-13 microns",
                "unit": "microns",
                "measured_entity": "precursor material",
                "measured_property": "average particle size (D50"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_5",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "9. The precursor material of claim 1, wherein the precursor material has a tap density in the range from 0.8-2.8 g-cm3.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 0.8-2.8 g-cm3",
                "unit": "g-cm3",
                "measured_entity": "precursor material",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_6",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "10. The precursor material of claim 9, wherein the precursor material has a tap density in the range from 1.8-2.3 g/cm3.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 1.8-2.3 g/cm3",
                "unit": "g/cm3",
                "measured_entity": "precursor material",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_7",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "11. The precursor material of claim 1, wherein the precursor material has a surface area in the range from 2-20 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 2-20 m2/g",
                "unit": "m2/g",
                "measured_entity": "precursor material",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_8",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "12. The precursor material of claim 11, wherein the precursor material has a surface area in the range from 2-8 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "in the range from 2-8 m2/g",
                "unit": "m2/g",
                "measured_entity": "precursor material",
                "measured_property": "surface area"
            }
        ],
        "split": "val",
        "docId": "US20130168600A1_9",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "15. The composite cathode active material of claim 14, wherein a thickness of the primary particles is about 2\u03b80 nm or less.",
        "measurement_extractions": [
            {
                "quantity": "about 2\u03b80 nm",
                "unit": "nm",
                "measured_entity": "primary particles",
                "measured_property": "thickness"
            }
        ],
        "split": "val",
        "docId": "US20150287990A1_14",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "31. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1\u2212a</sub>O<sub>2 </sub>where M=Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein 0.10\u2266a<0.25, 0.10\u2266x<0.30, 0.55\u2266y\u22660.80, and 0<z\u22660.30, v\u22660.05, and x+y+z+v=1, the powder having a particle size distribution with 10 \u03bcm\u2266D50\u226620 \u03bcm, a specific surface with 0.9\u2266BET\u22665, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<NalS<2.",
        "measurement_extractions": [
            {
                "quantity": "10 \u03bcm\u2266D50\u226620 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "the powder",
                "measured_property": "particle size distribution"
            },
            {
                "quantity": "0.9\u2266BET\u22665, the BET being expressed in m<sup>2</sup>/g",
                "unit": "m<sup>2</sup>/g",
                "measured_entity": "the powder",
                "measured_property": "specific surface"
            },
            {
                "quantity": "more than 0.4 wt %",
                "unit": "wt %",
                "measured_entity": "the powder",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            },
            {
                "quantity": "less than 1.6 wt %",
                "unit": "wt %",
                "measured_entity": "the powder",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_12",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "32. A method for preparing a carbonate precursor compound according to claim 21, comprising:\nproviding a feed solution comprising Ni-, Mn- and Co-ions, and a source of A, wherein the Ni-, Mn-, Co-and A-ions are present in a water soluble sulfate compound,\nproviding an ionic solution comprising a carbonate solution and Na-ions, wherein the CO<sub>3</sub>/SO<sub>4 </sub>rate is selected so as to obtain a Na/S molar ratio with 0.4<Na/S<2 and the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % yield a sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of more than 0.4 wt % and less than 1.6 wt %,\nproviding a slurry comprising seeds comprising M\u2032-ions, wherein M\u2032=NixMnyCozA\u2032n, A\u2032 being a dopant, with 0\u2266x\u2032\u22661, 0\u2266y\u2032\u22661, 0\u2266z\u2032\u22661, 0\u2266n\u2032\u22661 and x\u2032+y\u2032+z\u2032+n\u2032=1,\nmixing the feed solution, the ionic solution and the slurry in the reactor, thereby obtaining a reactive liquid mixture,\nprecipitating a carbonate onto the seeds in the reactive liquid mixture, thereby obtaining a reacted liquid mixture and the carbonate precursor, and\nseparating the carbonate precursor from the reacted liquid mixture.",
        "measurement_extractions": [
            {
                "quantity": "more than 0.4 wt %",
                "unit": "wt %",
                "measured_entity": "sulfur",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            },
            {
                "quantity": "less than 1.6 wt %",
                "unit": "wt %",
                "measured_entity": "sulfur",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_13",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "36. The method according to claim 32, wherein the concentration of NH3in the reactor is less than 5.0 g/L.",
        "measurement_extractions": [
            {
                "quantity": "less than 5.0 g/L",
                "unit": null,
                "measured_entity": "NH3in the reactor",
                "measured_property": "concentration"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_17",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "21. A carbonate precursor compound for manufacturing a lithium metal (M)-oxide powder usable as an active positive electrode material in lithium-ion batteries, M comprising 20 to 90 mol % Ni, 10 to 70 mol % Mn and 10 to 40 mol % Co, the precursor further comprising a sodium and sulfur impurity, wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2, and wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %.",
        "measurement_extractions": [
            {
                "quantity": "more than 0.4 wt %",
                "unit": "wt %",
                "measured_entity": "sodium and sulfur impurity",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            },
            {
                "quantity": "less than 1.6 wt %",
                "unit": "wt %",
                "measured_entity": "sodium and sulfur impurity",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_2",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "39. The method according to claim 32, wherein the seeds have a median particle size D50 between 0.1 and 3 \u03bcm.",
        "measurement_extractions": [
            {
                "quantity": "between 0.1 and 3 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "the seeds",
                "measured_property": "median particle size D50"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_20",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "25. The carbonate precursor compound of claim 21, wherein the sodium content is between 0.1 and 0.7 wt %, and the sulfur content is between 0.2 and 0.9 wt %.",
        "measurement_extractions": [
            {
                "quantity": "between 0.1 and 0.7 wt %",
                "unit": "wt %",
                "measured_entity": "carbonate precursor",
                "measured_property": "sodium content"
            },
            {
                "quantity": "between 0.2 and 0.9 wt %",
                "unit": "wt %",
                "measured_entity": "carbonate precursor",
                "measured_property": "sulfur content"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_6",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "26. A lithium metal oxide powder for a positive electrode material in a rechargeable battery, having the general formula Li<sub>1+a</sub>M<sub>1\u2212a</sub>O<sub>2 </sub>where M=Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>z</sub>A<sub>v</sub>, A being a dopant, wherein \u22120.05\u2266a\u22660.25, 0.20\u2266x\u22660.90, 0.10\u2266y\u22660.67, and 0.10\u2266z\u22660.40, v\u22660.05, and x+y+z+v=1, the powder having a particle size distribution with 10 \u03bcm\u2266D50\u226620 \u03bcm, a specific surface with 0.9\u2266BET\u22665, the BET being expressed in m<sup>2</sup>/g, the powder further comprising a sodium and sulfur impurity, wherein the sum (2*Na<sub>wt</sub>)+S<sub>wt </sub>of the sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content expressed in wt % is more than 0.4 wt % and less than 1.6 wt %, and wherein the sodium to sulfur molar ratio (Na/S) is 0.4<Na/S<2.",
        "measurement_extractions": [
            {
                "quantity": "10 \u03bcm\u2266D50\u226620 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "the powder",
                "measured_property": "particle size distribution"
            },
            {
                "quantity": "0.9\u2266BET\u22665, the BET being expressed in m<sup>2</sup>/g",
                "unit": "m<sup>2</sup>/g",
                "measured_entity": "the powder",
                "measured_property": "specific surface"
            },
            {
                "quantity": "more than 0.4 wt %",
                "unit": "wt %",
                "measured_entity": "the powder",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            },
            {
                "quantity": "less than 1.6 wt %",
                "unit": "wt %",
                "measured_entity": "the powder",
                "measured_property": "sodium (Na<sub>wt</sub>) and sulfur (S<sub>wt</sub>) content"
            }
        ],
        "split": "val",
        "docId": "US20170309909A1_7",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "5. The method of claim 3, wherein, in preparing of the metal precursor, a metal salt solution is added to the reactor to allow a reaction to occur until a metal precursor having a particle size in a range of 3 micrometers (\u03bcm) to 15 \u03bcm and a tap density in a range of 1.8 grams per cubic centimeter (g/cc) to 2.0 g/cc is obtained.",
        "measurement_extractions": [
            {
                "quantity": "in a range of 3 micrometers (\u03bcm) to 15 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "precursor",
                "measured_property": "particle size"
            },
            {
                "quantity": "in a range of 1.8 grams per cubic centimeter (g/cc) to 2.0 g/cc",
                "unit": "g/cc",
                "measured_entity": "precursor",
                "measured_property": "tap density"
            }
        ],
        "split": "val",
        "docId": "US20180145319A1_5",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "7. The method of claim 3, wherein, before adding of the hydroxide of the doped material M\u2032, a pH of the solution comprising the metal precursor is adjusted to a range of 10 to 12, and after adding of the hydroxide of the doped material M\u2032, the pH is gradually adjusted to a range of 9 to 10 during co-deposition.",
        "measurement_extractions": [
            {
                "quantity": "a range of 10 to 12",
                "unit": null,
                "measured_entity": "the solution",
                "measured_property": "pH"
            },
            {
                "quantity": "a range of 9 to 10",
                "unit": null,
                "measured_entity": "the solution",
                "measured_property": "pH"
            }
        ],
        "split": "val",
        "docId": "US20180145319A1_7",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "1. A positive-electrode active material precursor for a nonaqueous electrolyte secondary battery, the positive-electrode active material precursor comprising:\na nickel-cobalt-manganese carbonate composite represented by a general formula of NixCoyMnzMtCO3where x+y+z+t=1, 0.05\u2264x\u22640.3, 0.1\u2264y\u22640.4, 0.55\u2264z\u22640.8, and 0\u2264t\u22640.1 are satisfied; and M represents one or more additive elements selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, and W,\nwherein the positive-electrode active material precursor includes secondary particles having an average particle diameter greater than or equal to 4 \u03bcm and less than or equal to 9 \u03bcm, and\nwherein the secondary particle includes a sparse central portion and a dense outer shell portion outside of the central portion, formed of primary particles.",
        "measurement_extractions": [
            {
                "quantity": "greater than or equal to 4 \u03bcm and less than or equal to 9 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "secondary particles",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "US20190013519A1_1",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "3. A positive-electrode active material for a nonaqueous electrolyte secondary battery, the positive-electrode active material comprising:\na lithium-metal compound oxide represented by a general formula of Li1+\u03b1NixCoyMnzMtO2where 0.25\u2264\u03b1\u22640.55, x+y+z+t=1, 0.05\u2264x\u22640.3, 0.1\u2264y\u22640.4, 0.55\u2264z\u22640.8, and 0\u2264t\u22640.1 are satisfied; and M represents one or more additive elements selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, and W,\nwherein the positive-electrode active material precursor includes secondary particles having an average particle diameter greater than or equal to 4 \u03bcm and less than or equal to 8 \u03bcm, and\nwherein the secondary particle has a particle shape including an outer shell portion and a hollow portion surrounded by the outer shell portion.",
        "measurement_extractions": [
            {
                "quantity": "greater than or equal to 4 \u03bcm and less than or equal to 8 \u03bcm",
                "unit": "\u03bcm",
                "measured_entity": "secondary particles",
                "measured_property": "average particle diameter"
            }
        ],
        "split": "val",
        "docId": "US20190013519A1_3",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "6. A method for manufacturing a positive-electrode active material precursor for a nonaqueous electrolyte secondary battery containing a nickel-cobalt-manganese carbonate compound represented by a general formula of NixCoyMnzMtCO3where x+y+z+t=1, 0.05\u2264x\u22640.3, 0.1\u2264y\u22640.4, 0.55\u2264z\u22640.8, and 0\u2264t\u22640.1 are satisfied; and M represents one or more additive elements selected from among Mg, Ca, Al, Ti, V, Cr, Zr, Nb, Mo, and W, the method comprising:\nan initial aqueous solution preparation process of preparing an initial aqueous solution that contains an ammonium ion supplier and water, in which a pH value is controlled to be greater than or equal to 9.0 and less than or equal to 12.0 by an alkaline aqueous solution at a reference reaction temperature of 25\u00b0 C., and a liquid temperature is set greater than or equal to 25\u00b0 C. and less than or equal to 50\u00b0 C.;\na nucleation process of forming nuclei by adding and mixing, under presence of carbonate ions, an aqueous solution that contains nickel as a metal component, an aqueous solution that contains cobalt as a metal component, an aqueous solution that contains manganese as a metal component, and an ammonium ion supplier, with the initial aqueous solution so as to form a mixed aqueous solution; and\na nucleus growth process of growing the nuclei by adding and mixing, under presence of carbonate ions, an aqueous solution that contains nickel as a metal component, an aqueous solution that contains cobalt as a metal component, an aqueous solution that contains manganese as a metal component, and an ammonium ion supplier, with the mixed aqueous solution formed in the nucleation process,\nwherein in the nucleation process, a pH value of the mixed aqueous solution is controlled to be greater than or equal to 8.0 at the reference reaction temperature of 25\u00b0 C., by adding an alkaline aqueous solution,\nwherein in the nucleus growth process, the pH value of the mixed aqueous solution is controlled to be greater than or equal to 6.0 and less than or equal to 7.5 at the reference reaction temperature of 25\u00b0 C., by adding the alkaline aqueous solution, and\nwherein the nucleation process takes a time greater than or equal to 1/20 and less than or equal to 3/10 of a combined time of the nucleation process and the nucleus growth process, to add the aqueous solution that contains nickel as the metal component, the aqueous solution that contains cobalt as the metal component, the aqueous solution that contains manganese as the metal component, and the ammonium ion supplier, to the initial aqueous solution.",
        "measurement_extractions": [
            {
                "quantity": "greater than or equal to 9.0 and less than or equal to 12.0",
                "unit": null,
                "measured_entity": "process of preparing",
                "measured_property": "pH value"
            },
            {
                "quantity": "25\u00b0 C",
                "unit": "\u00b0 C",
                "measured_entity": "process of preparing",
                "measured_property": "reaction temperature"
            },
            {
                "quantity": "greater than or equal to 25\u00b0 C",
                "unit": "\u00b0 C",
                "measured_entity": "process of preparing",
                "measured_property": "liquid temperature"
            },
            {
                "quantity": "greater than or equal to 8.0",
                "unit": null,
                "measured_entity": "the nucleation process",
                "measured_property": "pH value"
            },
            {
                "quantity": "25\u00b0 C",
                "unit": "\u00b0 C",
                "measured_entity": "the nucleation process",
                "measured_property": "reaction temperature"
            },
            {
                "quantity": "greater than or equal to 6.0 and less than or equal to 7.5",
                "unit": null,
                "measured_entity": "the nucleus growth process",
                "measured_property": "pH value"
            },
            {
                "quantity": "25\u00b0 C",
                "unit": "\u00b0 C",
                "measured_entity": "the nucleus growth process",
                "measured_property": "reaction temperature"
            }
        ],
        "split": "val",
        "docId": "US20190013519A1_6",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "9. The method for manufacturing the positive-electrode active material precursor for the nonaqueous electrolyte secondary battery as claimed in claim 6, wherein during processes ranging from the initial aqueous solution preparation process to the nucleus growth process, an ammonia concentration of the initial aqueous solution and the mixed aqueous solution is controlled to be greater than or equal to 3 g/L and less than or equal to 15 g/L.",
        "measurement_extractions": [
            {
                "quantity": "greater than or equal to 3 g/L and less than or equal to 15 g/L",
                "unit": "g/L",
                "measured_entity": "ammonia",
                "measured_property": "ammonia concentration"
            }
        ],
        "split": "val",
        "docId": "US20190013519A1_9",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "13. Particulate transition metal (oxy)hydroxide according to claim 11 or 12 having a specific surface according to BET in the range of from 2 to 70 m2/g.",
        "measurement_extractions": [
            {
                "quantity": "in the range of from 2 to 70 m2/g",
                "unit": "m2/g",
                "measured_entity": "Particulate transition metal (oxy)hydroxide",
                "measured_property": "specific surface according to BET"
            }
        ],
        "split": "val",
        "docId": "WO2020207901A1_13",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "14. Particulate transition metal (oxy) hydroxide according to any of the claims 11 to 13 wherein the particle size distribution [(D90) - (D10)] divided by (D50) is in the range of from 0.5 to 2.",
        "measurement_extractions": [
            {
                "quantity": "is in the range of from 0.5 to 2",
                "unit": null,
                "measured_entity": "Particulate transition metal (oxy) hydroxide",
                "measured_property": "particle size distribution [(D90) - (D10)] divided by (D50)"
            }
        ],
        "split": "val",
        "docId": "WO2020207901A1_14",
        "dataset": "bm"
    },
    {
        "instruction": "\n    You are an expert at extracting quantity, units and their related context from text. \n    Given a paragraph below identify each quantity and its related unit and related context, i.e. the measured entity and measured property if they exist.\n    ",
        "paragraph": "21. Cathode active material according to any of claims 18 to 20 wherein the primary particle size distribution has a span [(D90) - (D10)] divided by (D50), is in the range of from 0.5 to 1.1.",
        "measurement_extractions": [
            {
                "quantity": "in the range of from 0.5 to 1.1",
                "unit": null,
                "measured_entity": "the primary",
                "measured_property": "particle size distribution"
            }
        ],
        "split": "val",
        "docId": "WO2020207901A1_21",
        "dataset": "bm"
    }
]